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/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/algo.h
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// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/algo.h
* @brief Parallel STL function calls corresponding to the stl_algo.h header.
*
* The functions defined here mainly do case switches and
* call the actual parallelized versions in other files.
* Inlining policy: Functions that basically only contain one function call,
* are declared inline.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_ALGO_H
#define _GLIBCXX_PARALLEL_ALGO_H 1
 
#include <parallel/algorithmfwd.h>
#include <bits/stl_algobase.h>
#include <bits/stl_algo.h>
#include <parallel/iterator.h>
#include <parallel/base.h>
#include <parallel/sort.h>
#include <parallel/workstealing.h>
#include <parallel/par_loop.h>
#include <parallel/omp_loop.h>
#include <parallel/omp_loop_static.h>
#include <parallel/for_each_selectors.h>
#include <parallel/for_each.h>
#include <parallel/find.h>
#include <parallel/find_selectors.h>
#include <parallel/search.h>
#include <parallel/random_shuffle.h>
#include <parallel/partition.h>
#include <parallel/merge.h>
#include <parallel/unique_copy.h>
#include <parallel/set_operations.h>
 
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel
{
// Sequential fallback
template<typename _IIter, typename _Function>
inline _Function
for_each(_IIter __begin, _IIter __end, _Function __f,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::for_each(__begin, __end, __f); }
 
 
// Sequential fallback for input iterator case
template<typename _IIter, typename _Function, typename _IteratorTag>
inline _Function
__for_each_switch(_IIter __begin, _IIter __end, _Function __f,
_IteratorTag)
{ return for_each(__begin, __end, __f, __gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter, typename _Function>
_Function
__for_each_switch(_RAIter __begin, _RAIter __end,
_Function __f, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().for_each_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy;
__gnu_parallel::__for_each_selector<_RAIter> __functionality;
 
return __gnu_parallel::
__for_each_template_random_access(
__begin, __end, __f, __functionality,
__gnu_parallel::_DummyReduct(), true, __dummy, -1,
__parallelism_tag);
}
else
return for_each(__begin, __end, __f, __gnu_parallel::sequential_tag());
}
 
// Public interface
template<typename _Iterator, typename _Function>
inline _Function
for_each(_Iterator __begin, _Iterator __end, _Function __f,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_Iterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __for_each_switch(__begin, __end, __f, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _Iterator, typename _Function>
inline _Function
for_each(_Iterator __begin, _Iterator __end, _Function __f)
{
typedef std::iterator_traits<_Iterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __for_each_switch(__begin, __end, __f, _IteratorCategory());
}
 
 
// Sequential fallback
template<typename _IIter, typename _Tp>
inline _IIter
find(_IIter __begin, _IIter __end, const _Tp& __val,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::find(__begin, __end, __val); }
 
// Sequential fallback for input iterator case
template<typename _IIter, typename _Tp, typename _IteratorTag>
inline _IIter
__find_switch(_IIter __begin, _IIter __end, const _Tp& __val,
_IteratorTag)
{ return _GLIBCXX_STD_A::find(__begin, __end, __val); }
 
// Parallel find for random access iterators
template<typename _RAIter, typename _Tp>
_RAIter
__find_switch(_RAIter __begin, _RAIter __end,
const _Tp& __val, random_access_iterator_tag)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
 
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
__gnu_parallel::__binder2nd<__gnu_parallel::_EqualTo<_ValueType,
const _Tp&>,
_ValueType, const _Tp&, bool>
__comp(__gnu_parallel::_EqualTo<_ValueType, const _Tp&>(), __val);
return __gnu_parallel::__find_template(
__begin, __end, __begin, __comp,
__gnu_parallel::__find_if_selector()).first;
}
else
return _GLIBCXX_STD_A::find(__begin, __end, __val);
}
 
// Public interface
template<typename _IIter, typename _Tp>
inline _IIter
find(_IIter __begin, _IIter __end, const _Tp& __val)
{
typedef std::iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __find_switch(__begin, __end, __val, _IteratorCategory());
}
 
// Sequential fallback
template<typename _IIter, typename _Predicate>
inline _IIter
find_if(_IIter __begin, _IIter __end, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::find_if(__begin, __end, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter, typename _Predicate, typename _IteratorTag>
inline _IIter
__find_if_switch(_IIter __begin, _IIter __end, _Predicate __pred,
_IteratorTag)
{ return _GLIBCXX_STD_A::find_if(__begin, __end, __pred); }
 
// Parallel find_if for random access iterators
template<typename _RAIter, typename _Predicate>
_RAIter
__find_if_switch(_RAIter __begin, _RAIter __end,
_Predicate __pred, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
return __gnu_parallel::__find_template(__begin, __end, __begin, __pred,
__gnu_parallel::
__find_if_selector()).first;
else
return _GLIBCXX_STD_A::find_if(__begin, __end, __pred);
}
 
// Public interface
template<typename _IIter, typename _Predicate>
inline _IIter
find_if(_IIter __begin, _IIter __end, _Predicate __pred)
{
typedef std::iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __find_if_switch(__begin, __end, __pred, _IteratorCategory());
}
 
// Sequential fallback
template<typename _IIter, typename _FIterator>
inline _IIter
find_first_of(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::find_first_of(__begin1, __end1, __begin2, __end2);
}
 
// Sequential fallback
template<typename _IIter, typename _FIterator,
typename _BinaryPredicate>
inline _IIter
find_first_of(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2,
_BinaryPredicate __comp, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::find_first_of(
__begin1, __end1, __begin2, __end2, __comp); }
 
// Sequential fallback for input iterator type
template<typename _IIter, typename _FIterator,
typename _IteratorTag1, typename _IteratorTag2>
inline _IIter
__find_first_of_switch(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2,
_IteratorTag1, _IteratorTag2)
{ return find_first_of(__begin1, __end1, __begin2, __end2,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter, typename _FIterator,
typename _BinaryPredicate, typename _IteratorTag>
inline _RAIter
__find_first_of_switch(_RAIter __begin1,
_RAIter __end1,
_FIterator __begin2, _FIterator __end2,
_BinaryPredicate __comp, random_access_iterator_tag,
_IteratorTag)
{
return __gnu_parallel::
__find_template(__begin1, __end1, __begin1, __comp,
__gnu_parallel::__find_first_of_selector
<_FIterator>(__begin2, __end2)).first;
}
 
// Sequential fallback for input iterator type
template<typename _IIter, typename _FIterator,
typename _BinaryPredicate, typename _IteratorTag1,
typename _IteratorTag2>
inline _IIter
__find_first_of_switch(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2,
_BinaryPredicate __comp, _IteratorTag1, _IteratorTag2)
{ return find_first_of(__begin1, __end1, __begin2, __end2, __comp,
__gnu_parallel::sequential_tag()); }
 
// Public interface
template<typename _IIter, typename _FIterator,
typename _BinaryPredicate>
inline _IIter
find_first_of(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2,
_BinaryPredicate __comp)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_FIterator> _FIterTraits;
typedef typename _IIterTraits::iterator_category _IIteratorCategory;
typedef typename _FIterTraits::iterator_category _FIteratorCategory;
 
return __find_first_of_switch(__begin1, __end1, __begin2, __end2, __comp,
_IIteratorCategory(), _FIteratorCategory());
}
 
// Public interface, insert default comparator
template<typename _IIter, typename _FIterator>
inline _IIter
find_first_of(_IIter __begin1, _IIter __end1,
_FIterator __begin2, _FIterator __end2)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_FIterator> _FIterTraits;
typedef typename _IIterTraits::value_type _IValueType;
typedef typename _FIterTraits::value_type _FValueType;
 
return __gnu_parallel::find_first_of(__begin1, __end1, __begin2, __end2,
__gnu_parallel::_EqualTo<_IValueType, _FValueType>());
}
 
// Sequential fallback
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
unique_copy(_IIter __begin1, _IIter __end1, _OutputIterator __out,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::unique_copy(__begin1, __end1, __out); }
 
// Sequential fallback
template<typename _IIter, typename _OutputIterator,
typename _Predicate>
inline _OutputIterator
unique_copy(_IIter __begin1, _IIter __end1, _OutputIterator __out,
_Predicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::unique_copy(__begin1, __end1, __out, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter, typename _OutputIterator,
typename _Predicate, typename _IteratorTag1, typename _IteratorTag2>
inline _OutputIterator
__unique_copy_switch(_IIter __begin, _IIter __last,
_OutputIterator __out, _Predicate __pred,
_IteratorTag1, _IteratorTag2)
{ return _GLIBCXX_STD_A::unique_copy(__begin, __last, __out, __pred); }
 
// Parallel unique_copy for random access iterators
template<typename _RAIter, typename RandomAccessOutputIterator,
typename _Predicate>
RandomAccessOutputIterator
__unique_copy_switch(_RAIter __begin, _RAIter __last,
RandomAccessOutputIterator __out, _Predicate __pred,
random_access_iterator_tag, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__last - __begin)
> __gnu_parallel::_Settings::get().unique_copy_minimal_n))
return __gnu_parallel::__parallel_unique_copy(
__begin, __last, __out, __pred);
else
return _GLIBCXX_STD_A::unique_copy(__begin, __last, __out, __pred);
}
 
// Public interface
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
unique_copy(_IIter __begin1, _IIter __end1, _OutputIterator __out)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits::iterator_category _IIteratorCategory;
typedef typename _IIterTraits::value_type _ValueType;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __unique_copy_switch(
__begin1, __end1, __out, equal_to<_ValueType>(),
_IIteratorCategory(), _OIterCategory());
}
 
// Public interface
template<typename _IIter, typename _OutputIterator, typename _Predicate>
inline _OutputIterator
unique_copy(_IIter __begin1, _IIter __end1, _OutputIterator __out,
_Predicate __pred)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits::iterator_category _IIteratorCategory;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __unique_copy_switch(
__begin1, __end1, __out, __pred,
_IIteratorCategory(), _OIterCategory());
}
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_union(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_union(
__begin1, __end1, __begin2, __end2, __out); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_union(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_union(__begin1, __end1,
__begin2, __end2, __out, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OutputIterator, typename _IteratorTag1,
typename _IteratorTag2, typename _IteratorTag3>
inline _OutputIterator
__set_union_switch(
_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Predicate __pred,
_IteratorTag1, _IteratorTag2, _IteratorTag3)
{ return _GLIBCXX_STD_A::set_union(__begin1, __end1,
__begin2, __end2, __result, __pred); }
 
// Parallel set_union for random access iterators
template<typename _RAIter1, typename _RAIter2,
typename _Output_RAIter, typename _Predicate>
_Output_RAIter
__set_union_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2,
_Output_RAIter __result, _Predicate __pred,
random_access_iterator_tag, random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().set_union_minimal_n
|| static_cast<__gnu_parallel::_SequenceIndex>(__end2 - __begin2)
>= __gnu_parallel::_Settings::get().set_union_minimal_n))
return __gnu_parallel::__parallel_set_union(
__begin1, __end1, __begin2, __end2, __result, __pred);
else
return _GLIBCXX_STD_A::set_union(__begin1, __end1,
__begin2, __end2, __result, __pred);
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_union(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2, _OutputIterator __out)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
typedef typename _IIterTraits1::value_type _ValueType1;
typedef typename _IIterTraits2::value_type _ValueType2;
 
return __set_union_switch(
__begin1, __end1, __begin2, __end2, __out,
__gnu_parallel::_Less<_ValueType1, _ValueType2>(),
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_union(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __set_union_switch(
__begin1, __end1, __begin2, __end2, __out, __pred,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Sequential fallback.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_intersection(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_intersection(__begin1, __end1,
__begin2, __end2, __out); }
 
// Sequential fallback.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_intersection(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_intersection(
__begin1, __end1, __begin2, __end2, __out, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _OutputIterator,
typename _IteratorTag1, typename _IteratorTag2,
typename _IteratorTag3>
inline _OutputIterator
__set_intersection_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Predicate __pred,
_IteratorTag1, _IteratorTag2, _IteratorTag3)
{ return _GLIBCXX_STD_A::set_intersection(__begin1, __end1, __begin2,
__end2, __result, __pred); }
 
// Parallel set_intersection for random access iterators
template<typename _RAIter1, typename _RAIter2,
typename _Output_RAIter, typename _Predicate>
_Output_RAIter
__set_intersection_switch(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2,
_RAIter2 __end2,
_Output_RAIter __result,
_Predicate __pred,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().set_union_minimal_n
|| static_cast<__gnu_parallel::_SequenceIndex>(__end2 - __begin2)
>= __gnu_parallel::_Settings::get().set_union_minimal_n))
return __gnu_parallel::__parallel_set_intersection(
__begin1, __end1, __begin2, __end2, __result, __pred);
else
return _GLIBCXX_STD_A::set_intersection(
__begin1, __end1, __begin2, __end2, __result, __pred);
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_intersection(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
typedef typename _IIterTraits1::value_type _ValueType1;
typedef typename _IIterTraits2::value_type _ValueType2;
 
return __set_intersection_switch(
__begin1, __end1, __begin2, __end2, __out,
__gnu_parallel::_Less<_ValueType1, _ValueType2>(),
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_intersection(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __set_intersection_switch(
__begin1, __end1, __begin2, __end2, __out, __pred,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_symmetric_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_symmetric_difference(
__begin1, __end1, __begin2, __end2, __out); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_symmetric_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_symmetric_difference(
__begin1, __end1, __begin2, __end2, __out, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _OutputIterator,
typename _IteratorTag1, typename _IteratorTag2,
typename _IteratorTag3>
inline _OutputIterator
__set_symmetric_difference_switch(
_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Predicate __pred,
_IteratorTag1, _IteratorTag2, _IteratorTag3)
{ return _GLIBCXX_STD_A::set_symmetric_difference(
__begin1, __end1, __begin2, __end2, __result, __pred); }
 
// Parallel set_symmetric_difference for random access iterators
template<typename _RAIter1, typename _RAIter2,
typename _Output_RAIter, typename _Predicate>
_Output_RAIter
__set_symmetric_difference_switch(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2,
_RAIter2 __end2,
_Output_RAIter __result,
_Predicate __pred,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().set_symmetric_difference_minimal_n
|| static_cast<__gnu_parallel::_SequenceIndex>(__end2 - __begin2)
>= __gnu_parallel::_Settings::get().set_symmetric_difference_minimal_n))
return __gnu_parallel::__parallel_set_symmetric_difference(
__begin1, __end1, __begin2, __end2, __result, __pred);
else
return _GLIBCXX_STD_A::set_symmetric_difference(
__begin1, __end1, __begin2, __end2, __result, __pred);
}
 
// Public interface.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_symmetric_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
typedef typename _IIterTraits1::value_type _ValueType1;
typedef typename _IIterTraits2::value_type _ValueType2;
 
return __set_symmetric_difference_switch(
__begin1, __end1, __begin2, __end2, __out,
__gnu_parallel::_Less<_ValueType1, _ValueType2>(),
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Public interface.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_symmetric_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __set_symmetric_difference_switch(
__begin1, __end1, __begin2, __end2, __out, __pred,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Sequential fallback.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_difference(
__begin1,__end1, __begin2, __end2, __out); }
 
// Sequential fallback.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::set_difference(__begin1, __end1,
__begin2, __end2, __out, __pred); }
 
// Sequential fallback for input iterator case.
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OutputIterator, typename _IteratorTag1,
typename _IteratorTag2, typename _IteratorTag3>
inline _OutputIterator
__set_difference_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Predicate __pred,
_IteratorTag1, _IteratorTag2, _IteratorTag3)
{ return _GLIBCXX_STD_A::set_difference(
__begin1, __end1, __begin2, __end2, __result, __pred); }
 
// Parallel set_difference for random access iterators
template<typename _RAIter1, typename _RAIter2,
typename _Output_RAIter, typename _Predicate>
_Output_RAIter
__set_difference_switch(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2,
_RAIter2 __end2,
_Output_RAIter __result, _Predicate __pred,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().set_difference_minimal_n
|| static_cast<__gnu_parallel::_SequenceIndex>(__end2 - __begin2)
>= __gnu_parallel::_Settings::get().set_difference_minimal_n))
return __gnu_parallel::__parallel_set_difference(
__begin1, __end1, __begin2, __end2, __result, __pred);
else
return _GLIBCXX_STD_A::set_difference(
__begin1, __end1, __begin2, __end2, __result, __pred);
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
set_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
typedef typename _IIterTraits1::value_type _ValueType1;
typedef typename _IIterTraits2::value_type _ValueType2;
 
return __set_difference_switch(
__begin1, __end1, __begin2, __end2, __out,
__gnu_parallel::_Less<_ValueType1, _ValueType2>(),
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Predicate>
inline _OutputIterator
set_difference(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __out, _Predicate __pred)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __set_difference_switch(
__begin1, __end1, __begin2, __end2, __out, __pred,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Sequential fallback
template<typename _FIterator>
inline _FIterator
adjacent_find(_FIterator __begin, _FIterator __end,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::adjacent_find(__begin, __end); }
 
// Sequential fallback
template<typename _FIterator, typename _BinaryPredicate>
inline _FIterator
adjacent_find(_FIterator __begin, _FIterator __end,
_BinaryPredicate __binary_pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::adjacent_find(__begin, __end, __binary_pred); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter>
_RAIter
__adjacent_find_switch(_RAIter __begin, _RAIter __end,
random_access_iterator_tag)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
 
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
_RAIter __spot = __gnu_parallel::
__find_template(
__begin, __end - 1, __begin, equal_to<_ValueType>(),
__gnu_parallel::__adjacent_find_selector())
.first;
if (__spot == (__end - 1))
return __end;
else
return __spot;
}
else
return adjacent_find(__begin, __end, __gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _IteratorTag>
inline _FIterator
__adjacent_find_switch(_FIterator __begin, _FIterator __end,
_IteratorTag)
{ return adjacent_find(__begin, __end, __gnu_parallel::sequential_tag()); }
 
// Public interface
template<typename _FIterator>
inline _FIterator
adjacent_find(_FIterator __begin, _FIterator __end)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __adjacent_find_switch(__begin, __end, _IteratorCategory());
}
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _BinaryPredicate,
typename _IteratorTag>
inline _FIterator
__adjacent_find_switch(_FIterator __begin, _FIterator __end,
_BinaryPredicate __pred, _IteratorTag)
{ return adjacent_find(__begin, __end, __pred,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter, typename _BinaryPredicate>
_RAIter
__adjacent_find_switch(_RAIter __begin, _RAIter __end,
_BinaryPredicate __pred, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
return __gnu_parallel::__find_template(__begin, __end, __begin, __pred,
__gnu_parallel::
__adjacent_find_selector()).first;
else
return adjacent_find(__begin, __end, __pred,
__gnu_parallel::sequential_tag());
}
 
// Public interface
template<typename _FIterator, typename _BinaryPredicate>
inline _FIterator
adjacent_find(_FIterator __begin, _FIterator __end,
_BinaryPredicate __pred)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __adjacent_find_switch(__begin, __end, __pred,
_IteratorCategory());
}
 
// Sequential fallback
template<typename _IIter, typename _Tp>
inline typename iterator_traits<_IIter>::difference_type
count(_IIter __begin, _IIter __end, const _Tp& __value,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::count(__begin, __end, __value); }
 
// Parallel code for random access iterators
template<typename _RAIter, typename _Tp>
typename iterator_traits<_RAIter>::difference_type
__count_switch(_RAIter __begin, _RAIter __end,
const _Tp& __value, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef __gnu_parallel::_SequenceIndex _SequenceIndex;
 
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().count_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
__gnu_parallel::__count_selector<_RAIter, _DifferenceType>
__functionality;
_DifferenceType __res = 0;
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __value, __functionality,
std::plus<_SequenceIndex>(), __res, __res, -1,
__parallelism_tag);
return __res;
}
else
return count(__begin, __end, __value,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case.
template<typename _IIter, typename _Tp, typename _IteratorTag>
inline typename iterator_traits<_IIter>::difference_type
__count_switch(_IIter __begin, _IIter __end, const _Tp& __value,
_IteratorTag)
{ return count(__begin, __end, __value, __gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _IIter, typename _Tp>
inline typename iterator_traits<_IIter>::difference_type
count(_IIter __begin, _IIter __end, const _Tp& __value,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __count_switch(__begin, __end, __value, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _IIter, typename _Tp>
inline typename iterator_traits<_IIter>::difference_type
count(_IIter __begin, _IIter __end, const _Tp& __value)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __count_switch(__begin, __end, __value, _IteratorCategory());
}
 
 
// Sequential fallback.
template<typename _IIter, typename _Predicate>
inline typename iterator_traits<_IIter>::difference_type
count_if(_IIter __begin, _IIter __end, _Predicate __pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::count_if(__begin, __end, __pred); }
 
// Parallel count_if for random access iterators
template<typename _RAIter, typename _Predicate>
typename iterator_traits<_RAIter>::difference_type
__count_if_switch(_RAIter __begin, _RAIter __end,
_Predicate __pred, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef __gnu_parallel::_SequenceIndex _SequenceIndex;
 
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().count_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
_DifferenceType __res = 0;
__gnu_parallel::
__count_if_selector<_RAIter, _DifferenceType>
__functionality;
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __pred, __functionality,
std::plus<_SequenceIndex>(), __res, __res, -1,
__parallelism_tag);
return __res;
}
else
return count_if(__begin, __end, __pred,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case.
template<typename _IIter, typename _Predicate, typename _IteratorTag>
inline typename iterator_traits<_IIter>::difference_type
__count_if_switch(_IIter __begin, _IIter __end, _Predicate __pred,
_IteratorTag)
{ return count_if(__begin, __end, __pred,
__gnu_parallel::sequential_tag()); }
 
// Public interface.
template<typename _IIter, typename _Predicate>
inline typename iterator_traits<_IIter>::difference_type
count_if(_IIter __begin, _IIter __end, _Predicate __pred,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __count_if_switch(__begin, __end, __pred, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _IIter, typename _Predicate>
inline typename iterator_traits<_IIter>::difference_type
count_if(_IIter __begin, _IIter __end, _Predicate __pred)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __count_if_switch(__begin, __end, __pred, _IteratorCategory());
}
 
 
// Sequential fallback.
template<typename _FIterator1, typename _FIterator2>
inline _FIterator1
search(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::search(__begin1, __end1, __begin2, __end2); }
 
// Parallel algorithm for random access iterator
template<typename _RAIter1, typename _RAIter2>
_RAIter1
__search_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2,
random_access_iterator_tag, random_access_iterator_tag)
{
typedef std::iterator_traits<_RAIter1> _Iterator1Traits;
typedef typename _Iterator1Traits::value_type _ValueType1;
typedef std::iterator_traits<_RAIter2> _Iterator2Traits;
typedef typename _Iterator2Traits::value_type _ValueType2;
 
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().search_minimal_n))
return __gnu_parallel::
__search_template(
__begin1, __end1, __begin2, __end2,
__gnu_parallel::_EqualTo<_ValueType1, _ValueType2>());
else
return search(__begin1, __end1, __begin2, __end2,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case
template<typename _FIterator1, typename _FIterator2,
typename _IteratorTag1, typename _IteratorTag2>
inline _FIterator1
__search_switch(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2,
_IteratorTag1, _IteratorTag2)
{ return search(__begin1, __end1, __begin2, __end2,
__gnu_parallel::sequential_tag()); }
 
// Public interface.
template<typename _FIterator1, typename _FIterator2>
inline _FIterator1
search(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2)
{
typedef std::iterator_traits<_FIterator1> _Iterator1Traits;
typedef typename _Iterator1Traits::iterator_category _IteratorCategory1;
typedef std::iterator_traits<_FIterator2> _Iterator2Traits;
typedef typename _Iterator2Traits::iterator_category _IteratorCategory2;
 
return __search_switch(__begin1, __end1, __begin2, __end2,
_IteratorCategory1(), _IteratorCategory2());
}
 
// Public interface.
template<typename _FIterator1, typename _FIterator2,
typename _BinaryPredicate>
inline _FIterator1
search(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2,
_BinaryPredicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::search(
__begin1, __end1, __begin2, __end2, __pred); }
 
// Parallel algorithm for random access iterator.
template<typename _RAIter1, typename _RAIter2,
typename _BinaryPredicate>
_RAIter1
__search_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2,
_BinaryPredicate __pred,
random_access_iterator_tag, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().search_minimal_n))
return __gnu_parallel::__search_template(__begin1, __end1,
__begin2, __end2, __pred);
else
return search(__begin1, __end1, __begin2, __end2, __pred,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case
template<typename _FIterator1, typename _FIterator2,
typename _BinaryPredicate, typename _IteratorTag1,
typename _IteratorTag2>
inline _FIterator1
__search_switch(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2,
_BinaryPredicate __pred, _IteratorTag1, _IteratorTag2)
{ return search(__begin1, __end1, __begin2, __end2, __pred,
__gnu_parallel::sequential_tag()); }
 
// Public interface
template<typename _FIterator1, typename _FIterator2,
typename _BinaryPredicate>
inline _FIterator1
search(_FIterator1 __begin1, _FIterator1 __end1,
_FIterator2 __begin2, _FIterator2 __end2,
_BinaryPredicate __pred)
{
typedef std::iterator_traits<_FIterator1> _Iterator1Traits;
typedef typename _Iterator1Traits::iterator_category _IteratorCategory1;
typedef std::iterator_traits<_FIterator2> _Iterator2Traits;
typedef typename _Iterator2Traits::iterator_category _IteratorCategory2;
return __search_switch(__begin1, __end1, __begin2, __end2, __pred,
_IteratorCategory1(), _IteratorCategory2());
}
 
// Sequential fallback
template<typename _FIterator, typename _Integer, typename _Tp>
inline _FIterator
search_n(_FIterator __begin, _FIterator __end, _Integer __count,
const _Tp& __val, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::search_n(__begin, __end, __count, __val); }
 
// Sequential fallback
template<typename _FIterator, typename _Integer, typename _Tp,
typename _BinaryPredicate>
inline _FIterator
search_n(_FIterator __begin, _FIterator __end, _Integer __count,
const _Tp& __val, _BinaryPredicate __binary_pred,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::search_n(
__begin, __end, __count, __val, __binary_pred); }
 
// Public interface.
template<typename _FIterator, typename _Integer, typename _Tp>
inline _FIterator
search_n(_FIterator __begin, _FIterator __end, _Integer __count,
const _Tp& __val)
{
typedef typename iterator_traits<_FIterator>::value_type _ValueType;
return __gnu_parallel::search_n(__begin, __end, __count, __val,
__gnu_parallel::_EqualTo<_ValueType, _Tp>());
}
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _Integer,
typename _Tp, typename _BinaryPredicate>
_RAIter
__search_n_switch(_RAIter __begin, _RAIter __end, _Integer __count,
const _Tp& __val, _BinaryPredicate __binary_pred,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().search_minimal_n))
{
__gnu_parallel::_PseudoSequence<_Tp, _Integer> __ps(__val, __count);
return __gnu_parallel::__search_template(
__begin, __end, __ps.begin(), __ps.end(), __binary_pred);
}
else
return _GLIBCXX_STD_A::search_n(__begin, __end, __count, __val,
__binary_pred);
}
 
// Sequential fallback for input iterator case.
template<typename _FIterator, typename _Integer, typename _Tp,
typename _BinaryPredicate, typename _IteratorTag>
inline _FIterator
__search_n_switch(_FIterator __begin, _FIterator __end, _Integer __count,
const _Tp& __val, _BinaryPredicate __binary_pred,
_IteratorTag)
{ return _GLIBCXX_STD_A::search_n(__begin, __end, __count, __val,
__binary_pred); }
 
// Public interface.
template<typename _FIterator, typename _Integer, typename _Tp,
typename _BinaryPredicate>
inline _FIterator
search_n(_FIterator __begin, _FIterator __end, _Integer __count,
const _Tp& __val, _BinaryPredicate __binary_pred)
{
return __search_n_switch(__begin, __end, __count, __val, __binary_pred,
typename std::iterator_traits<_FIterator>::
iterator_category());
}
 
 
// Sequential fallback.
template<typename _IIter, typename _OutputIterator,
typename _UnaryOperation>
inline _OutputIterator
transform(_IIter __begin, _IIter __end, _OutputIterator __result,
_UnaryOperation __unary_op, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::transform(__begin, __end, __result, __unary_op); }
 
// Parallel unary transform for random access iterators.
template<typename _RAIter1, typename _RAIter2,
typename _UnaryOperation>
_RAIter2
__transform1_switch(_RAIter1 __begin, _RAIter1 __end,
_RAIter2 __result, _UnaryOperation __unary_op,
random_access_iterator_tag, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().transform_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy = true;
typedef __gnu_parallel::_IteratorPair<_RAIter1,
_RAIter2, random_access_iterator_tag> _ItTrip;
_ItTrip __begin_pair(__begin, __result),
__end_pair(__end, __result + (__end - __begin));
__gnu_parallel::__transform1_selector<_ItTrip> __functionality;
__gnu_parallel::
__for_each_template_random_access(
__begin_pair, __end_pair, __unary_op, __functionality,
__gnu_parallel::_DummyReduct(),
__dummy, __dummy, -1, __parallelism_tag);
return __functionality._M_finish_iterator;
}
else
return transform(__begin, __end, __result, __unary_op,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case.
template<typename _RAIter1, typename _RAIter2,
typename _UnaryOperation, typename _IteratorTag1,
typename _IteratorTag2>
inline _RAIter2
__transform1_switch(_RAIter1 __begin, _RAIter1 __end,
_RAIter2 __result, _UnaryOperation __unary_op,
_IteratorTag1, _IteratorTag2)
{ return transform(__begin, __end, __result, __unary_op,
__gnu_parallel::sequential_tag()); }
 
// Public interface.
template<typename _IIter, typename _OutputIterator,
typename _UnaryOperation>
inline _OutputIterator
transform(_IIter __begin, _IIter __end, _OutputIterator __result,
_UnaryOperation __unary_op,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits::iterator_category _IIteratorCategory;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __transform1_switch(__begin, __end, __result, __unary_op,
_IIteratorCategory(), _OIterCategory(),
__parallelism_tag);
}
 
template<typename _IIter, typename _OutputIterator,
typename _UnaryOperation>
inline _OutputIterator
transform(_IIter __begin, _IIter __end, _OutputIterator __result,
_UnaryOperation __unary_op)
{
typedef std::iterator_traits<_IIter> _IIterTraits;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits::iterator_category _IIteratorCategory;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __transform1_switch(__begin, __end, __result, __unary_op,
_IIteratorCategory(), _OIterCategory());
}
 
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _BinaryOperation>
inline _OutputIterator
transform(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _OutputIterator __result,
_BinaryOperation __binary_op, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::transform(__begin1, __end1,
__begin2, __result, __binary_op); }
 
// Parallel binary transform for random access iterators.
template<typename _RAIter1, typename _RAIter2,
typename _RAIter3, typename _BinaryOperation>
_RAIter3
__transform2_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2,
_RAIter3 __result, _BinaryOperation __binary_op,
random_access_iterator_tag, random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
(__end1 - __begin1) >=
__gnu_parallel::_Settings::get().transform_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy = true;
typedef __gnu_parallel::_IteratorTriple<_RAIter1,
_RAIter2, _RAIter3,
random_access_iterator_tag> _ItTrip;
_ItTrip __begin_triple(__begin1, __begin2, __result),
__end_triple(__end1, __begin2 + (__end1 - __begin1),
__result + (__end1 - __begin1));
__gnu_parallel::__transform2_selector<_ItTrip> __functionality;
__gnu_parallel::
__for_each_template_random_access(__begin_triple, __end_triple,
__binary_op, __functionality,
__gnu_parallel::_DummyReduct(),
__dummy, __dummy, -1,
__parallelism_tag);
return __functionality._M_finish_iterator;
}
else
return transform(__begin1, __end1, __begin2, __result, __binary_op,
__gnu_parallel::sequential_tag());
}
 
// Sequential fallback for input iterator case.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _BinaryOperation,
typename _Tag1, typename _Tag2, typename _Tag3>
inline _OutputIterator
__transform2_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _OutputIterator __result,
_BinaryOperation __binary_op, _Tag1, _Tag2, _Tag3)
{ return transform(__begin1, __end1, __begin2, __result, __binary_op,
__gnu_parallel::sequential_tag()); }
 
// Public interface.
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _BinaryOperation>
inline _OutputIterator
transform(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _OutputIterator __result,
_BinaryOperation __binary_op,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __transform2_switch(
__begin1, __end1, __begin2, __result, __binary_op,
_IIterCategory1(), _IIterCategory2(), _OIterCategory(),
__parallelism_tag);
}
 
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _BinaryOperation>
inline _OutputIterator
transform(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _OutputIterator __result,
_BinaryOperation __binary_op)
{
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __transform2_switch(
__begin1, __end1, __begin2, __result, __binary_op,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
// Sequential fallback
template<typename _FIterator, typename _Tp>
inline void
replace(_FIterator __begin, _FIterator __end, const _Tp& __old_value,
const _Tp& __new_value, __gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::replace(__begin, __end, __old_value, __new_value); }
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _Tp, typename _IteratorTag>
inline void
__replace_switch(_FIterator __begin, _FIterator __end,
const _Tp& __old_value, const _Tp& __new_value,
_IteratorTag)
{ replace(__begin, __end, __old_value, __new_value,
__gnu_parallel::sequential_tag()); }
 
// Parallel replace for random access iterators
template<typename _RAIter, typename _Tp>
inline void
__replace_switch(_RAIter __begin, _RAIter __end,
const _Tp& __old_value, const _Tp& __new_value,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
// XXX parallel version is where?
replace(__begin, __end, __old_value, __new_value,
__gnu_parallel::sequential_tag());
}
 
// Public interface
template<typename _FIterator, typename _Tp>
inline void
replace(_FIterator __begin, _FIterator __end, const _Tp& __old_value,
const _Tp& __new_value,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
__replace_switch(__begin, __end, __old_value, __new_value,
_IteratorCategory(),
__parallelism_tag);
}
 
template<typename _FIterator, typename _Tp>
inline void
replace(_FIterator __begin, _FIterator __end, const _Tp& __old_value,
const _Tp& __new_value)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
__replace_switch(__begin, __end, __old_value, __new_value,
_IteratorCategory());
}
 
 
// Sequential fallback
template<typename _FIterator, typename _Predicate, typename _Tp>
inline void
replace_if(_FIterator __begin, _FIterator __end, _Predicate __pred,
const _Tp& __new_value, __gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::replace_if(__begin, __end, __pred, __new_value); }
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _Predicate, typename _Tp,
typename _IteratorTag>
inline void
__replace_if_switch(_FIterator __begin, _FIterator __end,
_Predicate __pred, const _Tp& __new_value, _IteratorTag)
{ replace_if(__begin, __end, __pred, __new_value,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _Predicate, typename _Tp>
void
__replace_if_switch(_RAIter __begin, _RAIter __end,
_Predicate __pred, const _Tp& __new_value,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().replace_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy;
__gnu_parallel::
__replace_if_selector<_RAIter, _Predicate, _Tp>
__functionality(__new_value);
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __pred, __functionality,
__gnu_parallel::_DummyReduct(),
true, __dummy, -1, __parallelism_tag);
}
else
replace_if(__begin, __end, __pred, __new_value,
__gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _FIterator, typename _Predicate, typename _Tp>
inline void
replace_if(_FIterator __begin, _FIterator __end,
_Predicate __pred, const _Tp& __new_value,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_FIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
__replace_if_switch(__begin, __end, __pred, __new_value,
_IteratorCategory(), __parallelism_tag);
}
 
template<typename _FIterator, typename _Predicate, typename _Tp>
inline void
replace_if(_FIterator __begin, _FIterator __end,
_Predicate __pred, const _Tp& __new_value)
{
typedef std::iterator_traits<_FIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
__replace_if_switch(__begin, __end, __pred, __new_value,
_IteratorCategory());
}
 
// Sequential fallback
template<typename _FIterator, typename _Generator>
inline void
generate(_FIterator __begin, _FIterator __end, _Generator __gen,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::generate(__begin, __end, __gen); }
 
// Sequential fallback for input iterator case.
template<typename _FIterator, typename _Generator, typename _IteratorTag>
inline void
__generate_switch(_FIterator __begin, _FIterator __end, _Generator __gen,
_IteratorTag)
{ generate(__begin, __end, __gen, __gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _Generator>
void
__generate_switch(_RAIter __begin, _RAIter __end,
_Generator __gen, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().generate_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy;
__gnu_parallel::__generate_selector<_RAIter>
__functionality;
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __gen, __functionality,
__gnu_parallel::_DummyReduct(),
true, __dummy, -1, __parallelism_tag);
}
else
generate(__begin, __end, __gen, __gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _FIterator, typename _Generator>
inline void
generate(_FIterator __begin, _FIterator __end,
_Generator __gen, __gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_FIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
__generate_switch(__begin, __end, __gen, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _FIterator, typename _Generator>
inline void
generate(_FIterator __begin, _FIterator __end, _Generator __gen)
{
typedef std::iterator_traits<_FIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
__generate_switch(__begin, __end, __gen, _IteratorCategory());
}
 
 
// Sequential fallback.
template<typename _OutputIterator, typename _Size, typename _Generator>
inline _OutputIterator
generate_n(_OutputIterator __begin, _Size __n, _Generator __gen,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::generate_n(__begin, __n, __gen); }
 
// Sequential fallback for input iterator case.
template<typename _OutputIterator, typename _Size, typename _Generator,
typename _IteratorTag>
inline _OutputIterator
__generate_n_switch(_OutputIterator __begin, _Size __n, _Generator __gen,
_IteratorTag)
{ return generate_n(__begin, __n, __gen,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _Size, typename _Generator>
inline _RAIter
__generate_n_switch(_RAIter __begin, _Size __n, _Generator __gen,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
// XXX parallel version is where?
return generate_n(__begin, __n, __gen, __gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _OutputIterator, typename _Size, typename _Generator>
inline _OutputIterator
generate_n(_OutputIterator __begin, _Size __n, _Generator __gen,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_OutputIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __generate_n_switch(__begin, __n, __gen, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _OutputIterator, typename _Size, typename _Generator>
inline _OutputIterator
generate_n(_OutputIterator __begin, _Size __n, _Generator __gen)
{
typedef std::iterator_traits<_OutputIterator> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __generate_n_switch(__begin, __n, __gen, _IteratorCategory());
}
 
 
// Sequential fallback.
template<typename _RAIter>
inline void
random_shuffle(_RAIter __begin, _RAIter __end,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::random_shuffle(__begin, __end); }
 
// Sequential fallback.
template<typename _RAIter, typename _RandomNumberGenerator>
inline void
random_shuffle(_RAIter __begin, _RAIter __end,
_RandomNumberGenerator& __rand,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::random_shuffle(__begin, __end, __rand); }
 
 
/** @brief Functor wrapper for std::rand(). */
template<typename _MustBeInt = int>
struct _CRandNumber
{
int
operator()(int __limit)
{ return rand() % __limit; }
};
 
// Fill in random number generator.
template<typename _RAIter>
inline void
random_shuffle(_RAIter __begin, _RAIter __end)
{
_CRandNumber<> __r;
// Parallelization still possible.
__gnu_parallel::random_shuffle(__begin, __end, __r);
}
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _RandomNumberGenerator>
void
random_shuffle(_RAIter __begin, _RAIter __end,
#if __cplusplus >= 201103L
_RandomNumberGenerator&& __rand)
#else
_RandomNumberGenerator& __rand)
#endif
{
if (__begin == __end)
return;
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().random_shuffle_minimal_n))
__gnu_parallel::__parallel_random_shuffle(__begin, __end, __rand);
else
__gnu_parallel::__sequential_random_shuffle(__begin, __end, __rand);
}
 
// Sequential fallback.
template<typename _FIterator, typename _Predicate>
inline _FIterator
partition(_FIterator __begin, _FIterator __end,
_Predicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::partition(__begin, __end, __pred); }
 
// Sequential fallback for input iterator case.
template<typename _FIterator, typename _Predicate, typename _IteratorTag>
inline _FIterator
__partition_switch(_FIterator __begin, _FIterator __end,
_Predicate __pred, _IteratorTag)
{ return partition(__begin, __end, __pred,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename _RAIter, typename _Predicate>
_RAIter
__partition_switch(_RAIter __begin, _RAIter __end,
_Predicate __pred, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().partition_minimal_n))
{
typedef typename std::iterator_traits<_RAIter>::
difference_type _DifferenceType;
_DifferenceType __middle = __gnu_parallel::
__parallel_partition(__begin, __end, __pred,
__gnu_parallel::__get_max_threads());
return __begin + __middle;
}
else
return partition(__begin, __end, __pred,
__gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _FIterator, typename _Predicate>
inline _FIterator
partition(_FIterator __begin, _FIterator __end, _Predicate __pred)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __partition_switch(__begin, __end, __pred, _IteratorCategory());
}
 
// sort interface
 
// Sequential fallback
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::sort(__begin, __end); }
 
// Sequential fallback
template<typename _RAIter, typename _Compare>
inline void
sort(_RAIter __begin, _RAIter __end, _Compare __comp,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::sort<_RAIter, _Compare>(__begin, __end,
__comp); }
 
// Public interface
template<typename _RAIter, typename _Compare,
typename _Parallelism>
void
sort(_RAIter __begin, _RAIter __end, _Compare __comp,
_Parallelism __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
 
if (__begin != __end)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin) >=
__gnu_parallel::_Settings::get().sort_minimal_n))
__gnu_parallel::__parallel_sort<false>(
__begin, __end, __comp, __parallelism);
else
sort(__begin, __end, __comp, __gnu_parallel::sequential_tag());
}
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(),
__gnu_parallel::default_parallel_tag());
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::default_parallel_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::parallel_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::multiway_mergesort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::multiway_mergesort_sampling_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::multiway_mergesort_exact_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::quicksort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::balanced_quicksort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface
template<typename _RAIter, typename _Compare>
void
sort(_RAIter __begin, _RAIter __end, _Compare __comp)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
sort(__begin, __end, __comp, __gnu_parallel::default_parallel_tag());
}
 
 
// stable_sort interface
 
 
// Sequential fallback
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::stable_sort(__begin, __end); }
 
// Sequential fallback
template<typename _RAIter, typename _Compare>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, __gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::stable_sort<_RAIter, _Compare>(
__begin, __end, __comp); }
 
// Public interface
template<typename _RAIter, typename _Compare,
typename _Parallelism>
void
stable_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, _Parallelism __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
 
if (__begin != __end)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin) >=
__gnu_parallel::_Settings::get().sort_minimal_n))
__gnu_parallel::__parallel_sort<true>(
__begin, __end, __comp, __parallelism);
else
stable_sort(__begin, __end, __comp,
__gnu_parallel::sequential_tag());
}
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(),
__gnu_parallel::default_parallel_tag());
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::default_parallel_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::parallel_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::multiway_mergesort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::quicksort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
stable_sort(_RAIter __begin, _RAIter __end,
__gnu_parallel::balanced_quicksort_tag __parallelism)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(__begin, __end, std::less<_ValueType>(), __parallelism);
}
 
// Public interface
template<typename _RAIter, typename _Compare>
void
stable_sort(_RAIter __begin, _RAIter __end,
_Compare __comp)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
stable_sort(
__begin, __end, __comp, __gnu_parallel::default_parallel_tag());
}
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
merge(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_IIter2 __end2, _OutputIterator __result,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::merge(
__begin1, __end1, __begin2, __end2, __result); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Compare>
inline _OutputIterator
merge(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_IIter2 __end2, _OutputIterator __result, _Compare __comp,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::merge(
__begin1, __end1, __begin2, __end2, __result, __comp); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2, typename _OutputIterator,
typename _Compare, typename _IteratorTag1,
typename _IteratorTag2, typename _IteratorTag3>
inline _OutputIterator
__merge_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Compare __comp,
_IteratorTag1, _IteratorTag2, _IteratorTag3)
{ return _GLIBCXX_STD_A::merge(__begin1, __end1, __begin2, __end2,
__result, __comp); }
 
// Parallel algorithm for random access iterators
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Compare>
_OutputIterator
__merge_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_OutputIterator __result, _Compare __comp,
random_access_iterator_tag, random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
(static_cast<__gnu_parallel::_SequenceIndex>(__end1 - __begin1)
>= __gnu_parallel::_Settings::get().merge_minimal_n
|| static_cast<__gnu_parallel::_SequenceIndex>(__end2 - __begin2)
>= __gnu_parallel::_Settings::get().merge_minimal_n)))
return __gnu_parallel::__parallel_merge_advance(
__begin1, __end1, __begin2, __end2, __result,
(__end1 - __begin1) + (__end2 - __begin2), __comp);
else
return __gnu_parallel::__merge_advance(
__begin1, __end1, __begin2, __end2, __result,
(__end1 - __begin1) + (__end2 - __begin2), __comp);
}
 
// Public interface
template<typename _IIter1, typename _IIter2,
typename _OutputIterator, typename _Compare>
inline _OutputIterator
merge(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_IIter2 __end2, _OutputIterator __result, _Compare __comp)
{
typedef typename iterator_traits<_IIter1>::value_type _ValueType;
 
typedef std::iterator_traits<_IIter1> _IIterTraits1;
typedef std::iterator_traits<_IIter2> _IIterTraits2;
typedef std::iterator_traits<_OutputIterator> _OIterTraits;
typedef typename _IIterTraits1::iterator_category
_IIterCategory1;
typedef typename _IIterTraits2::iterator_category
_IIterCategory2;
typedef typename _OIterTraits::iterator_category _OIterCategory;
 
return __merge_switch(
__begin1, __end1, __begin2, __end2, __result, __comp,
_IIterCategory1(), _IIterCategory2(), _OIterCategory());
}
 
 
// Public interface, insert default comparator
template<typename _IIter1, typename _IIter2,
typename _OutputIterator>
inline _OutputIterator
merge(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_IIter2 __end2, _OutputIterator __result)
{
typedef std::iterator_traits<_IIter1> _Iterator1Traits;
typedef std::iterator_traits<_IIter2> _Iterator2Traits;
typedef typename _Iterator1Traits::value_type _ValueType1;
typedef typename _Iterator2Traits::value_type _ValueType2;
 
return __gnu_parallel::merge(__begin1, __end1, __begin2, __end2,
__result, __gnu_parallel::_Less<_ValueType1, _ValueType2>());
}
 
// Sequential fallback
template<typename _RAIter>
inline void
nth_element(_RAIter __begin, _RAIter __nth,
_RAIter __end, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::nth_element(__begin, __nth, __end); }
 
// Sequential fallback
template<typename _RAIter, typename _Compare>
inline void
nth_element(_RAIter __begin, _RAIter __nth,
_RAIter __end, _Compare __comp,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::nth_element(__begin, __nth, __end, __comp); }
 
// Public interface
template<typename _RAIter, typename _Compare>
inline void
nth_element(_RAIter __begin, _RAIter __nth,
_RAIter __end, _Compare __comp)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().nth_element_minimal_n))
__gnu_parallel::__parallel_nth_element(__begin, __nth, __end, __comp);
else
nth_element(__begin, __nth, __end, __comp,
__gnu_parallel::sequential_tag());
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
nth_element(_RAIter __begin, _RAIter __nth,
_RAIter __end)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
__gnu_parallel::nth_element(__begin, __nth, __end,
std::less<_ValueType>());
}
 
// Sequential fallback
template<typename _RAIter, typename _Compare>
inline void
partial_sort(_RAIter __begin, _RAIter __middle,
_RAIter __end, _Compare __comp,
__gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::partial_sort(__begin, __middle, __end, __comp); }
 
// Sequential fallback
template<typename _RAIter>
inline void
partial_sort(_RAIter __begin, _RAIter __middle,
_RAIter __end, __gnu_parallel::sequential_tag)
{ _GLIBCXX_STD_A::partial_sort(__begin, __middle, __end); }
 
// Public interface, parallel algorithm for random access iterators
template<typename _RAIter, typename _Compare>
void
partial_sort(_RAIter __begin, _RAIter __middle,
_RAIter __end, _Compare __comp)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().partial_sort_minimal_n))
__gnu_parallel::
__parallel_partial_sort(__begin, __middle, __end, __comp);
else
partial_sort(__begin, __middle, __end, __comp,
__gnu_parallel::sequential_tag());
}
 
// Public interface, insert default comparator
template<typename _RAIter>
inline void
partial_sort(_RAIter __begin, _RAIter __middle,
_RAIter __end)
{
typedef iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
__gnu_parallel::partial_sort(__begin, __middle, __end,
std::less<_ValueType>());
}
 
// Sequential fallback
template<typename _FIterator>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::max_element(__begin, __end); }
 
// Sequential fallback
template<typename _FIterator, typename _Compare>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end, _Compare __comp,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::max_element(__begin, __end, __comp); }
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _Compare, typename _IteratorTag>
inline _FIterator
__max_element_switch(_FIterator __begin, _FIterator __end,
_Compare __comp, _IteratorTag)
{ return max_element(__begin, __end, __comp,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter, typename _Compare>
_RAIter
__max_element_switch(_RAIter __begin, _RAIter __end,
_Compare __comp, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().max_element_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
_RAIter __res(__begin);
__gnu_parallel::__identity_selector<_RAIter>
__functionality;
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __gnu_parallel::_Nothing(), __functionality,
__gnu_parallel::__max_element_reduct<_Compare, _RAIter>(__comp),
__res, __res, -1, __parallelism_tag);
return __res;
}
else
return max_element(__begin, __end, __comp,
__gnu_parallel::sequential_tag());
}
 
// Public interface, insert default comparator
template<typename _FIterator>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef typename iterator_traits<_FIterator>::value_type _ValueType;
return max_element(__begin, __end, std::less<_ValueType>(),
__parallelism_tag);
}
 
template<typename _FIterator>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end)
{
typedef typename iterator_traits<_FIterator>::value_type _ValueType;
return __gnu_parallel::max_element(__begin, __end,
std::less<_ValueType>());
}
 
// Public interface
template<typename _FIterator, typename _Compare>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end, _Compare __comp,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __max_element_switch(__begin, __end, __comp, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _FIterator, typename _Compare>
inline _FIterator
max_element(_FIterator __begin, _FIterator __end, _Compare __comp)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __max_element_switch(__begin, __end, __comp, _IteratorCategory());
}
 
 
// Sequential fallback
template<typename _FIterator>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::min_element(__begin, __end); }
 
// Sequential fallback
template<typename _FIterator, typename _Compare>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end, _Compare __comp,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::min_element(__begin, __end, __comp); }
 
// Sequential fallback for input iterator case
template<typename _FIterator, typename _Compare, typename _IteratorTag>
inline _FIterator
__min_element_switch(_FIterator __begin, _FIterator __end,
_Compare __comp, _IteratorTag)
{ return min_element(__begin, __end, __comp,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators
template<typename _RAIter, typename _Compare>
_RAIter
__min_element_switch(_RAIter __begin, _RAIter __end,
_Compare __comp, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().min_element_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
_RAIter __res(__begin);
__gnu_parallel::__identity_selector<_RAIter>
__functionality;
__gnu_parallel::
__for_each_template_random_access(
__begin, __end, __gnu_parallel::_Nothing(), __functionality,
__gnu_parallel::__min_element_reduct<_Compare, _RAIter>(__comp),
__res, __res, -1, __parallelism_tag);
return __res;
}
else
return min_element(__begin, __end, __comp,
__gnu_parallel::sequential_tag());
}
 
// Public interface, insert default comparator
template<typename _FIterator>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef typename iterator_traits<_FIterator>::value_type _ValueType;
return min_element(__begin, __end, std::less<_ValueType>(),
__parallelism_tag);
}
 
template<typename _FIterator>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end)
{
typedef typename iterator_traits<_FIterator>::value_type _ValueType;
return __gnu_parallel::min_element(__begin, __end,
std::less<_ValueType>());
}
 
// Public interface
template<typename _FIterator, typename _Compare>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end, _Compare __comp,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __min_element_switch(__begin, __end, __comp, _IteratorCategory(),
__parallelism_tag);
}
 
template<typename _FIterator, typename _Compare>
inline _FIterator
min_element(_FIterator __begin, _FIterator __end, _Compare __comp)
{
typedef iterator_traits<_FIterator> _TraitsType;
typedef typename _TraitsType::iterator_category _IteratorCategory;
return __min_element_switch(__begin, __end, __comp, _IteratorCategory());
}
} // end namespace
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_ALGO_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/algobase.h
0,0 → 1,432
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/algobase.h
* @brief Parallel STL function calls corresponding to the
* stl_algobase.h header. The functions defined here mainly do case
* switches and call the actual parallelized versions in other files.
* Inlining policy: Functions that basically only contain one
* function call, are declared inline.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_ALGOBASE_H
#define _GLIBCXX_PARALLEL_ALGOBASE_H 1
 
#include <bits/stl_algobase.h>
#include <parallel/base.h>
#include <parallel/algorithmfwd.h>
#include <parallel/find.h>
#include <parallel/find_selectors.h>
 
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel
{
// NB: equal and lexicographical_compare require mismatch.
 
// Sequential fallback
template<typename _IIter1, typename _IIter2>
inline pair<_IIter1, _IIter2>
mismatch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::mismatch(__begin1, __end1, __begin2); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline pair<_IIter1, _IIter2>
mismatch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_Predicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::mismatch(__begin1, __end1, __begin2, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _IteratorTag1, typename _IteratorTag2>
inline pair<_IIter1, _IIter2>
__mismatch_switch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_Predicate __pred, _IteratorTag1, _IteratorTag2)
{ return _GLIBCXX_STD_A::mismatch(__begin1, __end1, __begin2, __pred); }
 
// Parallel mismatch for random access iterators
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
pair<_RAIter1, _RAIter2>
__mismatch_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _Predicate __pred,
random_access_iterator_tag, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
_RAIter1 __res =
__gnu_parallel::__find_template(__begin1, __end1, __begin2, __pred,
__gnu_parallel::
__mismatch_selector()).first;
return make_pair(__res , __begin2 + (__res - __begin1));
}
else
return _GLIBCXX_STD_A::mismatch(__begin1, __end1, __begin2, __pred);
}
 
// Public interface
template<typename _IIter1, typename _IIter2>
inline pair<_IIter1, _IIter2>
mismatch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2)
{
typedef __gnu_parallel::_EqualTo<
typename std::iterator_traits<_IIter1>::value_type,
typename std::iterator_traits<_IIter2>::value_type> _EqualTo;
 
return __mismatch_switch(__begin1, __end1, __begin2, _EqualTo(),
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
 
// Public interface
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline pair<_IIter1, _IIter2>
mismatch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_Predicate __pred)
{
return __mismatch_switch(__begin1, __end1, __begin2, __pred,
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
 
#if __cplusplus > 201103L
// Sequential fallback.
template<typename _InputIterator1, typename _InputIterator2>
inline pair<_InputIterator1, _InputIterator2>
mismatch(_InputIterator1 __first1, _InputIterator1 __last1,
_InputIterator2 __first2, _InputIterator2 __last2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::mismatch(__first1, __last1, __first2, __last2); }
 
// Sequential fallback.
template<typename _InputIterator1, typename _InputIterator2,
typename _BinaryPredicate>
inline pair<_InputIterator1, _InputIterator2>
mismatch(_InputIterator1 __first1, _InputIterator1 __last1,
_InputIterator2 __first2, _InputIterator2 __last2,
_BinaryPredicate __binary_pred,
__gnu_parallel::sequential_tag)
{
return _GLIBCXX_STD_A::mismatch(__first1, __last1, __first2, __last2,
__binary_pred);
}
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _IteratorTag1, typename _IteratorTag2>
inline pair<_IIter1, _IIter2>
__mismatch_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2, _Predicate __pred,
_IteratorTag1, _IteratorTag2)
{
return _GLIBCXX_STD_A::mismatch(__begin1, __end1,
__begin2, __end2, __pred);
}
 
// Parallel mismatch for random access iterators
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
pair<_RAIter1, _RAIter2>
__mismatch_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2, _Predicate __pred,
random_access_iterator_tag, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
if ((__end2 - __begin2) < (__end1 - __begin1))
__end1 = __begin1 + (__end2 - __begin2);
 
_RAIter1 __res =
__gnu_parallel::__find_template(__begin1, __end1, __begin2, __pred,
__gnu_parallel::
__mismatch_selector()).first;
return make_pair(__res , __begin2 + (__res - __begin1));
}
else
return _GLIBCXX_STD_A::mismatch(__begin1, __end1,
__begin2, __end2, __pred);
}
 
template<typename _IIter1, typename _IIter2>
inline pair<_IIter1, _IIter2>
mismatch(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2, _IIter2 __end2)
{
typedef __gnu_parallel::_EqualTo<
typename std::iterator_traits<_IIter1>::value_type,
typename std::iterator_traits<_IIter2>::value_type> _EqualTo;
 
return __mismatch_switch(__begin1, __end1, __begin2, __end2, _EqualTo(),
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
 
template<typename _InputIterator1, typename _InputIterator2,
typename _BinaryPredicate>
inline pair<_InputIterator1, _InputIterator2>
mismatch(_InputIterator1 __begin1, _InputIterator1 __end1,
_InputIterator2 __begin2, _InputIterator2 __end2,
_BinaryPredicate __binary_pred)
{
return __mismatch_switch(__begin1, __end1, __begin2, __end2,
__binary_pred,
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
#endif
 
// Sequential fallback
template<typename _IIter1, typename _IIter2>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::equal(__begin1, __end1, __begin2); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_Predicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::equal(__begin1, __end1, __begin2, __pred); }
 
// Public interface
template<typename _IIter1, typename _IIter2>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2)
{
return __gnu_parallel::mismatch(__begin1, __end1, __begin2).first
== __end1;
}
 
// Public interface
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2,
_Predicate __pred)
{
return __gnu_parallel::mismatch(__begin1, __end1, __begin2, __pred).first
== __end1;
}
 
#if __cplusplus > 201103L
// Sequential fallback
template<typename _IIter1, typename _IIter2>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2, _IIter2 __end2,
__gnu_parallel::sequential_tag)
{
return _GLIBCXX_STD_A::equal(__begin1, __end1, __begin2, __end2);
}
 
// Sequential fallback
template<typename _IIter1, typename _IIter2, typename _BinaryPredicate>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2, _BinaryPredicate __binary_pred,
__gnu_parallel::sequential_tag)
{
return _GLIBCXX_STD_A::equal(__begin1, __end1, __begin2, __end2,
__binary_pred);
}
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _IteratorTag1, typename _IteratorTag2>
inline bool
__equal_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2, _Predicate __pred,
_IteratorTag1, _IteratorTag2)
{
return _GLIBCXX_STD_A::equal(__begin1, __end1,
__begin2, __end2, __pred);
}
 
// Parallel equal for random access iterators
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
inline bool
__equal_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2, _Predicate __pred,
random_access_iterator_tag, random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
if (std::distance(__begin1, __end1)
!= std::distance(__begin2, __end2))
return false;
 
return __gnu_parallel::mismatch(__begin1, __end1, __begin2, __end2,
__pred).first == __end1;
}
else
return _GLIBCXX_STD_A::equal(__begin1, __end1,
__begin2, __end2, __pred);
}
 
template<typename _IIter1, typename _IIter2>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1, _IIter2 __begin2, _IIter2 __end2)
{
typedef __gnu_parallel::_EqualTo<
typename std::iterator_traits<_IIter1>::value_type,
typename std::iterator_traits<_IIter2>::value_type> _EqualTo;
 
return __equal_switch(__begin1, __end1, __begin2, __end2, _EqualTo(),
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
 
template<typename _IIter1, typename _IIter2, typename _BinaryPredicate>
inline bool
equal(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2, _BinaryPredicate __binary_pred)
{
return __equal_switch(__begin1, __end1, __begin2, __end2, __binary_pred,
std::__iterator_category(__begin1),
std::__iterator_category(__begin2));
}
#endif
 
// Sequential fallback
template<typename _IIter1, typename _IIter2>
inline bool
lexicographical_compare(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::lexicographical_compare(__begin1, __end1,
__begin2, __end2); }
 
// Sequential fallback
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline bool
lexicographical_compare(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_Predicate __pred, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::lexicographical_compare(
__begin1, __end1, __begin2, __end2, __pred); }
 
// Sequential fallback for input iterator case
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _IteratorTag1, typename _IteratorTag2>
inline bool
__lexicographical_compare_switch(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_Predicate __pred,
_IteratorTag1, _IteratorTag2)
{ return _GLIBCXX_STD_A::lexicographical_compare(
__begin1, __end1, __begin2, __end2, __pred); }
 
// Parallel lexicographical_compare for random access iterators
// Limitation: Both valuetypes must be the same
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
bool
__lexicographical_compare_switch(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _RAIter2 __end2,
_Predicate __pred,
random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(true))
{
typedef iterator_traits<_RAIter1> _TraitsType1;
typedef typename _TraitsType1::value_type _ValueType1;
 
typedef iterator_traits<_RAIter2> _TraitsType2;
typedef typename _TraitsType2::value_type _ValueType2;
 
typedef __gnu_parallel::
_EqualFromLess<_ValueType1, _ValueType2, _Predicate>
_EqualFromLessCompare;
 
// Longer sequence in first place.
if ((__end1 - __begin1) < (__end2 - __begin2))
{
typedef pair<_RAIter1, _RAIter2> _SpotType;
_SpotType __mm = __mismatch_switch(__begin1, __end1, __begin2,
_EqualFromLessCompare(__pred),
random_access_iterator_tag(),
random_access_iterator_tag());
 
return (__mm.first == __end1)
|| bool(__pred(*__mm.first, *__mm.second));
}
else
{
typedef pair<_RAIter2, _RAIter1> _SpotType;
_SpotType __mm = __mismatch_switch(__begin2, __end2, __begin1,
_EqualFromLessCompare(__pred),
random_access_iterator_tag(),
random_access_iterator_tag());
 
return (__mm.first != __end2)
&& bool(__pred(*__mm.second, *__mm.first));
}
}
else
return _GLIBCXX_STD_A::lexicographical_compare(
__begin1, __end1, __begin2, __end2, __pred);
}
 
// Public interface
template<typename _IIter1, typename _IIter2>
inline bool
lexicographical_compare(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::value_type _ValueType1;
typedef typename _TraitsType1::iterator_category _IteratorCategory1;
 
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::value_type _ValueType2;
typedef typename _TraitsType2::iterator_category _IteratorCategory2;
typedef __gnu_parallel::_Less<_ValueType1, _ValueType2> _LessType;
 
return __lexicographical_compare_switch(
__begin1, __end1, __begin2, __end2, _LessType(),
_IteratorCategory1(), _IteratorCategory2());
}
 
// Public interface
template<typename _IIter1, typename _IIter2, typename _Predicate>
inline bool
lexicographical_compare(_IIter1 __begin1, _IIter1 __end1,
_IIter2 __begin2, _IIter2 __end2,
_Predicate __pred)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::iterator_category _IteratorCategory1;
 
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::iterator_category _IteratorCategory2;
 
return __lexicographical_compare_switch(
__begin1, __end1, __begin2, __end2, __pred,
_IteratorCategory1(), _IteratorCategory2());
}
} // end namespace
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_ALGOBASE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/algorithm
0,0 → 1,39
// Algorithm extensions -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the
// terms of the GNU General Public License as published by the
// Free Software Foundation; either version 3, or (at your option)
// any later version.
 
// This library is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/algorithm
* This file is a GNU extension to the Standard C++ Library.
*/
 
#ifndef _PARALLEL_ALGORITHM
#define _PARALLEL_ALGORITHM 1
 
#pragma GCC system_header
 
#include <algorithm>
#include <parallel/algorithmfwd.h>
#include <parallel/algobase.h>
#include <parallel/algo.h>
 
#endif
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/algorithmfwd.h
0,0 → 1,908
// <parallel/algorithm> Forward declarations -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/algorithmfwd.h
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
#ifndef _GLIBCXX_PARALLEL_ALGORITHMFWD_H
#define _GLIBCXX_PARALLEL_ALGORITHMFWD_H 1
 
#pragma GCC system_header
 
#include <parallel/tags.h>
#include <parallel/settings.h>
 
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel
{
template<typename _FIter>
_FIter
adjacent_find(_FIter, _FIter);
 
template<typename _FIter>
_FIter
adjacent_find(_FIter, _FIter, __gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _IterTag>
_FIter
__adjacent_find_switch(_FIter, _FIter, _IterTag);
 
template<typename _RAIter>
_RAIter
__adjacent_find_switch(_RAIter, _RAIter, random_access_iterator_tag);
 
 
template<typename _FIter, typename _BiPredicate>
_FIter
adjacent_find(_FIter, _FIter, _BiPredicate);
 
template<typename _FIter, typename _BiPredicate>
_FIter
adjacent_find(_FIter, _FIter, _BiPredicate,
__gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _BiPredicate, typename _IterTag>
_FIter
__adjacent_find_switch(_FIter, _FIter, _BiPredicate, _IterTag);
 
template<typename _RAIter, typename _BiPredicate>
_RAIter
__adjacent_find_switch(_RAIter, _RAIter, _BiPredicate,
random_access_iterator_tag);
 
 
template<typename _IIter, typename _Tp>
typename iterator_traits<_IIter>::difference_type
count(_IIter, _IIter, const _Tp&);
 
template<typename _IIter, typename _Tp>
typename iterator_traits<_IIter>::difference_type
count(_IIter, _IIter, const _Tp&, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Tp>
typename iterator_traits<_IIter>::difference_type
count(_IIter, _IIter, const _Tp&, __gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _Tp, typename _IterTag>
typename iterator_traits<_IIter>::difference_type
__count_switch(_IIter, _IIter, const _Tp&, _IterTag);
 
template<typename _RAIter, typename _Tp>
typename iterator_traits<_RAIter>::difference_type
__count_switch(_RAIter, _RAIter, const _Tp&, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_unbalanced);
 
 
template<typename _IIter, typename _Predicate>
typename iterator_traits<_IIter>::difference_type
count_if(_IIter, _IIter, _Predicate);
 
template<typename _IIter, typename _Predicate>
typename iterator_traits<_IIter>::difference_type
count_if(_IIter, _IIter, _Predicate, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Predicate>
typename iterator_traits<_IIter>::difference_type
count_if(_IIter, _IIter, _Predicate, __gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _Predicate, typename _IterTag>
typename iterator_traits<_IIter>::difference_type
__count_if_switch(_IIter, _IIter, _Predicate, _IterTag);
 
template<typename _RAIter, typename _Predicate>
typename iterator_traits<_RAIter>::difference_type
__count_if_switch(_RAIter, _RAIter, _Predicate, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_unbalanced);
 
// algobase.h
template<typename _IIter1, typename _IIter2>
bool
equal(_IIter1, _IIter1, _IIter2, __gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
bool
equal(_IIter1, _IIter1, _IIter2, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2>
bool
equal(_IIter1, _IIter1, _IIter2);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
bool
equal(_IIter1, _IIter1, _IIter2, _Predicate);
 
template<typename _IIter, typename _Tp>
_IIter
find(_IIter, _IIter, const _Tp&, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Tp>
_IIter
find(_IIter, _IIter, const _Tp& __val);
 
template<typename _IIter, typename _Tp, typename _IterTag>
_IIter
__find_switch(_IIter, _IIter, const _Tp&, _IterTag);
 
template<typename _RAIter, typename _Tp>
_RAIter
__find_switch(_RAIter, _RAIter, const _Tp&, random_access_iterator_tag);
 
template<typename _IIter, typename _Predicate>
_IIter
find_if(_IIter, _IIter, _Predicate, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Predicate>
_IIter
find_if(_IIter, _IIter, _Predicate);
 
template<typename _IIter, typename _Predicate, typename _IterTag>
_IIter
__find_if_switch(_IIter, _IIter, _Predicate, _IterTag);
 
template<typename _RAIter, typename _Predicate>
_RAIter
__find_if_switch(_RAIter, _RAIter, _Predicate, random_access_iterator_tag);
 
template<typename _IIter, typename _FIter>
_IIter
find_first_of(_IIter, _IIter, _FIter, _FIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _FIter, typename _BiPredicate>
_IIter
find_first_of(_IIter, _IIter, _FIter, _FIter, _BiPredicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _FIter, typename _BiPredicate>
_IIter
find_first_of(_IIter, _IIter, _FIter, _FIter, _BiPredicate);
 
template<typename _IIter, typename _FIter>
_IIter
find_first_of(_IIter, _IIter, _FIter, _FIter);
 
template<typename _IIter, typename _FIter,
typename _IterTag1, typename _IterTag2>
_IIter
__find_first_of_switch(
_IIter, _IIter, _FIter, _FIter, _IterTag1, _IterTag2);
 
template<typename _RAIter, typename _FIter, typename _BiPredicate,
typename _IterTag>
_RAIter
__find_first_of_switch(_RAIter, _RAIter, _FIter, _FIter, _BiPredicate,
random_access_iterator_tag, _IterTag);
 
template<typename _IIter, typename _FIter, typename _BiPredicate,
typename _IterTag1, typename _IterTag2>
_IIter
__find_first_of_switch(_IIter, _IIter, _FIter, _FIter, _BiPredicate,
_IterTag1, _IterTag2);
 
 
template<typename _IIter, typename _Function>
_Function
for_each(_IIter, _IIter, _Function);
 
template<typename _IIter, typename _Function>
_Function
for_each(_IIter, _IIter, _Function, __gnu_parallel::sequential_tag);
 
template<typename _Iterator, typename _Function>
_Function
for_each(_Iterator, _Iterator, _Function, __gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _Function, typename _IterTag>
_Function
__for_each_switch(_IIter, _IIter, _Function, _IterTag);
 
template<typename _RAIter, typename _Function>
_Function
__for_each_switch(_RAIter, _RAIter, _Function, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
 
template<typename _FIter, typename _Generator>
void
generate(_FIter, _FIter, _Generator);
 
template<typename _FIter, typename _Generator>
void
generate(_FIter, _FIter, _Generator, __gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Generator>
void
generate(_FIter, _FIter, _Generator, __gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Generator, typename _IterTag>
void
__generate_switch(_FIter, _FIter, _Generator, _IterTag);
 
template<typename _RAIter, typename _Generator>
void
__generate_switch(_RAIter, _RAIter, _Generator, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
template<typename _OIter, typename _Size, typename _Generator>
_OIter
generate_n(_OIter, _Size, _Generator);
 
template<typename _OIter, typename _Size, typename _Generator>
_OIter
generate_n(_OIter, _Size, _Generator, __gnu_parallel::sequential_tag);
 
template<typename _OIter, typename _Size, typename _Generator>
_OIter
generate_n(_OIter, _Size, _Generator, __gnu_parallel::_Parallelism);
 
template<typename _OIter, typename _Size, typename _Generator,
typename _IterTag>
_OIter
__generate_n_switch(_OIter, _Size, _Generator, _IterTag);
 
template<typename _RAIter, typename _Size, typename _Generator>
_RAIter
__generate_n_switch(_RAIter, _Size, _Generator, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
template<typename _IIter1, typename _IIter2>
bool
lexicographical_compare(_IIter1, _IIter1, _IIter2, _IIter2,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
bool
lexicographical_compare(_IIter1, _IIter1, _IIter2, _IIter2, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2>
bool
lexicographical_compare(_IIter1, _IIter1, _IIter2, _IIter2);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
bool
lexicographical_compare(_IIter1, _IIter1, _IIter2, _IIter2, _Predicate);
 
template<typename _IIter1, typename _IIter2,
typename _Predicate, typename _IterTag1, typename _IterTag2>
bool
__lexicographical_compare_switch(_IIter1, _IIter1, _IIter2, _IIter2,
_Predicate, _IterTag1, _IterTag2);
 
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
bool
__lexicographical_compare_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2,
_Predicate, random_access_iterator_tag,
random_access_iterator_tag);
 
// algo.h
template<typename _IIter1, typename _IIter2>
pair<_IIter1, _IIter2>
mismatch(_IIter1, _IIter1, _IIter2, __gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
pair<_IIter1, _IIter2>
mismatch(_IIter1, _IIter1, _IIter2, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2>
pair<_IIter1, _IIter2>
mismatch(_IIter1, _IIter1, _IIter2);
 
template<typename _IIter1, typename _IIter2, typename _Predicate>
pair<_IIter1, _IIter2>
mismatch(_IIter1, _IIter1, _IIter2, _Predicate);
 
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _IterTag1, typename _IterTag2>
pair<_IIter1, _IIter2>
__mismatch_switch(_IIter1, _IIter1, _IIter2, _Predicate,
_IterTag1, _IterTag2);
 
template<typename _RAIter1, typename _RAIter2, typename _Predicate>
pair<_RAIter1, _RAIter2>
__mismatch_switch(_RAIter1, _RAIter1, _RAIter2, _Predicate,
random_access_iterator_tag, random_access_iterator_tag);
 
template<typename _FIter1, typename _FIter2>
_FIter1
search(_FIter1, _FIter1, _FIter2, _FIter2, __gnu_parallel::sequential_tag);
 
template<typename _FIter1, typename _FIter2>
_FIter1
search(_FIter1, _FIter1, _FIter2, _FIter2);
 
template<typename _FIter1, typename _FIter2, typename _BiPredicate>
_FIter1
search(_FIter1, _FIter1, _FIter2, _FIter2, _BiPredicate,
__gnu_parallel::sequential_tag);
 
template<typename _FIter1, typename _FIter2, typename _BiPredicate>
_FIter1
search(_FIter1, _FIter1, _FIter2, _FIter2, _BiPredicate);
 
template<typename _RAIter1, typename _RAIter2>
_RAIter1
__search_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2,
random_access_iterator_tag, random_access_iterator_tag);
 
template<typename _FIter1, typename _FIter2, typename _IterTag1,
typename _IterTag2>
_FIter1
__search_switch(_FIter1, _FIter1, _FIter2, _FIter2, _IterTag1, _IterTag2);
 
template<typename _RAIter1, typename _RAIter2, typename _BiPredicate>
_RAIter1
__search_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2, _BiPredicate,
random_access_iterator_tag, random_access_iterator_tag);
 
template<typename _FIter1, typename _FIter2, typename _BiPredicate,
typename _IterTag1, typename _IterTag2>
_FIter1
__search_switch(_FIter1, _FIter1, _FIter2, _FIter2, _BiPredicate,
_IterTag1, _IterTag2);
 
template<typename _FIter, typename _Integer, typename _Tp>
_FIter
search_n(_FIter, _FIter, _Integer, const _Tp&,
__gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Integer, typename _Tp,
typename _BiPredicate>
_FIter
search_n(_FIter, _FIter, _Integer, const _Tp&, _BiPredicate,
__gnu_parallel::sequential_tag);
template<typename _FIter, typename _Integer, typename _Tp>
_FIter
search_n(_FIter, _FIter, _Integer, const _Tp&);
 
template<typename _FIter, typename _Integer, typename _Tp,
typename _BiPredicate>
_FIter
search_n(_FIter, _FIter, _Integer, const _Tp&, _BiPredicate);
 
template<typename _RAIter, typename _Integer, typename _Tp,
typename _BiPredicate>
_RAIter
__search_n_switch(_RAIter, _RAIter, _Integer, const _Tp&,
_BiPredicate, random_access_iterator_tag);
 
template<typename _FIter, typename _Integer, typename _Tp,
typename _BiPredicate, typename _IterTag>
_FIter
__search_n_switch(_FIter, _FIter, _Integer, const _Tp&,
_BiPredicate, _IterTag);
 
 
template<typename _IIter, typename _OIter, typename _UnaryOperation>
_OIter
transform(_IIter, _IIter, _OIter, _UnaryOperation);
 
template<typename _IIter, typename _OIter, typename _UnaryOperation>
_OIter
transform(_IIter, _IIter, _OIter, _UnaryOperation,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter, typename _UnaryOperation>
_OIter
transform(_IIter, _IIter, _OIter, _UnaryOperation,
__gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _OIter, typename _UnaryOperation,
typename _IterTag1, typename _IterTag2>
_OIter
__transform1_switch(_IIter, _IIter, _OIter, _UnaryOperation,
_IterTag1, _IterTag2);
 
template<typename _RAIIter, typename _RAOIter, typename _UnaryOperation>
_RAOIter
__transform1_switch(_RAIIter, _RAIIter, _RAOIter, _UnaryOperation,
random_access_iterator_tag, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _BiOperation>
_OIter
transform(_IIter1, _IIter1, _IIter2, _OIter, _BiOperation);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _BiOperation>
_OIter
transform(_IIter1, _IIter1, _IIter2, _OIter, _BiOperation,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _BiOperation>
_OIter
transform(_IIter1, _IIter1, _IIter2, _OIter, _BiOperation,
__gnu_parallel::_Parallelism);
 
template<typename _RAIter1, typename _RAIter2, typename _RAIter3,
typename _BiOperation>
_RAIter3
__transform2_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter3, _BiOperation,
random_access_iterator_tag, random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _BiOperation, typename _Tag1,
typename _Tag2, typename _Tag3>
_OIter
__transform2_switch(_IIter1, _IIter1, _IIter2, _OIter, _BiOperation,
_Tag1, _Tag2, _Tag3);
 
 
template<typename _FIter, typename _Tp>
void
replace(_FIter, _FIter, const _Tp&, const _Tp&);
 
template<typename _FIter, typename _Tp>
void
replace(_FIter, _FIter, const _Tp&, const _Tp&,
__gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Tp>
void
replace(_FIter, _FIter, const _Tp&, const _Tp&,
__gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Tp, typename _IterTag>
void
__replace_switch(_FIter, _FIter, const _Tp&, const _Tp&, _IterTag);
 
template<typename _RAIter, typename _Tp>
void
__replace_switch(_RAIter, _RAIter, const _Tp&, const _Tp&,
random_access_iterator_tag, __gnu_parallel::_Parallelism);
 
 
template<typename _FIter, typename _Predicate, typename _Tp>
void
replace_if(_FIter, _FIter, _Predicate, const _Tp&);
 
template<typename _FIter, typename _Predicate, typename _Tp>
void
replace_if(_FIter, _FIter, _Predicate, const _Tp&,
__gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Predicate, typename _Tp>
void
replace_if(_FIter, _FIter, _Predicate, const _Tp&,
__gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Predicate, typename _Tp,
typename _IterTag>
void
__replace_if_switch(_FIter, _FIter, _Predicate, const _Tp&, _IterTag);
template<typename _RAIter, typename _Predicate, typename _Tp>
void
__replace_if_switch(_RAIter, _RAIter, _Predicate, const _Tp&,
random_access_iterator_tag,
__gnu_parallel::_Parallelism);
 
 
template<typename _FIter>
_FIter
max_element(_FIter, _FIter);
 
template<typename _FIter>
_FIter
max_element(_FIter, _FIter, __gnu_parallel::sequential_tag);
 
template<typename _FIter>
_FIter
max_element(_FIter, _FIter, __gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Compare>
_FIter
max_element(_FIter, _FIter, _Compare);
 
template<typename _FIter, typename _Compare>
_FIter
max_element(_FIter, _FIter, _Compare, __gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Compare>
_FIter
max_element(_FIter, _FIter, _Compare, __gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Compare, typename _IterTag>
_FIter
__max_element_switch(_FIter, _FIter, _Compare, _IterTag);
 
template<typename _RAIter, typename _Compare>
_RAIter
__max_element_switch(
_RAIter, _RAIter, _Compare, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
merge(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Compare>
_OIter
merge(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Compare,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Compare>
_OIter
merge(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Compare);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
merge(_IIter1, _IIter1, _IIter2, _IIter2, _OIter);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Compare, typename _IterTag1, typename _IterTag2,
typename _IterTag3>
_OIter
__merge_switch(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Compare,
_IterTag1, _IterTag2, _IterTag3);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Compare>
_OIter
__merge_switch(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Compare,
random_access_iterator_tag, random_access_iterator_tag,
random_access_iterator_tag);
 
 
template<typename _FIter>
_FIter
min_element(_FIter, _FIter);
 
template<typename _FIter>
_FIter
min_element(_FIter, _FIter, __gnu_parallel::sequential_tag);
 
template<typename _FIter>
_FIter
min_element(_FIter, _FIter,
__gnu_parallel::_Parallelism __parallelism_tag);
 
template<typename _FIter, typename _Compare>
_FIter
min_element(_FIter, _FIter, _Compare);
 
template<typename _FIter, typename _Compare>
_FIter
min_element(_FIter, _FIter, _Compare, __gnu_parallel::sequential_tag);
 
template<typename _FIter, typename _Compare>
_FIter
min_element(_FIter, _FIter, _Compare, __gnu_parallel::_Parallelism);
 
template<typename _FIter, typename _Compare, typename _IterTag>
_FIter
__min_element_switch(_FIter, _FIter, _Compare, _IterTag);
 
template<typename _RAIter, typename _Compare>
_RAIter
__min_element_switch(
_RAIter, _RAIter, _Compare, random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_balanced);
 
template<typename _RAIter>
void
nth_element(_RAIter, _RAIter, _RAIter, __gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _Compare>
void
nth_element(_RAIter, _RAIter, _RAIter, _Compare,
__gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _Compare>
void
nth_element(_RAIter, _RAIter, _RAIter, _Compare);
 
template<typename _RAIter>
void
nth_element(_RAIter, _RAIter, _RAIter);
 
template<typename _RAIter, typename _Compare>
void
partial_sort(_RAIter, _RAIter, _RAIter, _Compare,
__gnu_parallel::sequential_tag);
 
template<typename _RAIter>
void
partial_sort(_RAIter, _RAIter, _RAIter, __gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _Compare>
void
partial_sort(_RAIter, _RAIter, _RAIter, _Compare);
 
template<typename _RAIter>
void
partial_sort(_RAIter, _RAIter, _RAIter);
 
template<typename _FIter, typename _Predicate>
_FIter
partition(_FIter, _FIter, _Predicate, __gnu_parallel::sequential_tag);
template<typename _FIter, typename _Predicate>
_FIter
partition(_FIter, _FIter, _Predicate);
 
template<typename _FIter, typename _Predicate, typename _IterTag>
_FIter
__partition_switch(_FIter, _FIter, _Predicate, _IterTag);
template<typename _RAIter, typename _Predicate>
_RAIter
__partition_switch(
_RAIter, _RAIter, _Predicate, random_access_iterator_tag);
 
template<typename _RAIter>
void
random_shuffle(_RAIter, _RAIter, __gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _RandomNumberGenerator>
void
random_shuffle(_RAIter, _RAIter, _RandomNumberGenerator&,
__gnu_parallel::sequential_tag);
 
template<typename _RAIter>
void
random_shuffle(_RAIter, _RAIter);
 
template<typename _RAIter, typename _RandomNumberGenerator>
void
random_shuffle(_RAIter, _RAIter,
#if __cplusplus >= 201103L
_RandomNumberGenerator&&);
#else
_RandomNumberGenerator&);
#endif
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_union(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_union(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_union(_IIter1, _IIter1, _IIter2, _IIter2, _OIter);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_union(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate);
 
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OIter, typename _IterTag1, typename _IterTag2,
typename _IterTag3>
_OIter
__set_union_switch(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
_Predicate, _IterTag1, _IterTag2, _IterTag3);
 
template<typename _RAIter1, typename _RAIter2, typename _Output_RAIter,
typename _Predicate>
_Output_RAIter
__set_union_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2, _Output_RAIter,
_Predicate, random_access_iterator_tag,
random_access_iterator_tag, random_access_iterator_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_intersection(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_intersection(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_intersection(_IIter1, _IIter1, _IIter2, _IIter2, _OIter);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_intersection(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate);
 
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OIter, typename _IterTag1, typename _IterTag2,
typename _IterTag3>
_OIter
__set_intersection_switch(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
_Predicate, _IterTag1, _IterTag2, _IterTag3);
 
template<typename _RAIter1, typename _RAIter2, typename _Output_RAIter,
typename _Predicate>
_Output_RAIter
__set_intersection_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2,
_Output_RAIter, _Predicate,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_symmetric_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_symmetric_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
_Predicate, __gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_symmetric_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_symmetric_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
_Predicate);
 
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OIter, typename _IterTag1, typename _IterTag2,
typename _IterTag3>
_OIter
__set_symmetric_difference_switch(_IIter1, _IIter1, _IIter2, _IIter2,
_OIter, _Predicate, _IterTag1, _IterTag2,
_IterTag3);
 
template<typename _RAIter1, typename _RAIter2, typename _Output_RAIter,
typename _Predicate>
_Output_RAIter
__set_symmetric_difference_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2,
_Output_RAIter, _Predicate,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag);
 
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _OIter>
_OIter
set_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter);
 
template<typename _IIter1, typename _IIter2, typename _OIter,
typename _Predicate>
_OIter
set_difference(_IIter1, _IIter1, _IIter2, _IIter2, _OIter, _Predicate);
 
template<typename _IIter1, typename _IIter2, typename _Predicate,
typename _OIter, typename _IterTag1, typename _IterTag2,
typename _IterTag3>
_OIter
__set_difference_switch(_IIter1, _IIter1, _IIter2, _IIter2, _OIter,
_Predicate, _IterTag1, _IterTag2, _IterTag3);
 
template<typename _RAIter1, typename _RAIter2, typename _Output_RAIter,
typename _Predicate>
_Output_RAIter
__set_difference_switch(_RAIter1, _RAIter1, _RAIter2, _RAIter2,
_Output_RAIter, _Predicate,
random_access_iterator_tag,
random_access_iterator_tag,
random_access_iterator_tag);
 
 
template<typename _RAIter>
void
sort(_RAIter, _RAIter, __gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _Compare>
void
sort(_RAIter, _RAIter, _Compare, __gnu_parallel::sequential_tag);
 
template<typename _RAIter>
void
sort(_RAIter, _RAIter);
 
template<typename _RAIter, typename _Compare>
void
sort(_RAIter, _RAIter, _Compare);
 
template<typename _RAIter>
void
stable_sort(_RAIter, _RAIter, __gnu_parallel::sequential_tag);
 
template<typename _RAIter, typename _Compare>
void
stable_sort(_RAIter, _RAIter, _Compare, __gnu_parallel::sequential_tag);
 
template<typename _RAIter>
void
stable_sort(_RAIter, _RAIter);
 
template<typename _RAIter, typename _Compare>
void
stable_sort(_RAIter, _RAIter, _Compare);
 
template<typename _IIter, typename _OIter>
_OIter
unique_copy(_IIter, _IIter, _OIter, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter, typename _Predicate>
_OIter
unique_copy(_IIter, _IIter, _OIter, _Predicate,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter>
_OIter
unique_copy(_IIter, _IIter, _OIter);
 
template<typename _IIter, typename _OIter, typename _Predicate>
_OIter
unique_copy(_IIter, _IIter, _OIter, _Predicate);
 
template<typename _IIter, typename _OIter, typename _Predicate,
typename _IterTag1, typename _IterTag2>
_OIter
__unique_copy_switch(_IIter, _IIter, _OIter, _Predicate,
_IterTag1, _IterTag2);
 
template<typename _RAIter, typename _RandomAccess_OIter, typename _Predicate>
_RandomAccess_OIter
__unique_copy_switch(_RAIter, _RAIter, _RandomAccess_OIter, _Predicate,
random_access_iterator_tag, random_access_iterator_tag);
} // end namespace __parallel
} // end namespace std
 
#endif /* _GLIBCXX_PARALLEL_ALGORITHMFWD_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/balanced_quicksort.h
0,0 → 1,492
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/balanced_quicksort.h
* @brief Implementation of a dynamically load-balanced parallel quicksort.
*
* It works in-place and needs only logarithmic extra memory.
* The algorithm is similar to the one proposed in
*
* P. Tsigas and Y. Zhang.
* A simple, fast parallel implementation of quicksort and
* its performance evaluation on SUN enterprise 10000.
* In 11th Euromicro Conference on Parallel, Distributed and
* Network-Based Processing, page 372, 2003.
*
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_BALANCED_QUICKSORT_H
#define _GLIBCXX_PARALLEL_BALANCED_QUICKSORT_H 1
 
#include <parallel/basic_iterator.h>
#include <bits/stl_algo.h>
#include <bits/stl_function.h>
 
#include <parallel/settings.h>
#include <parallel/partition.h>
#include <parallel/random_number.h>
#include <parallel/queue.h>
 
#if _GLIBCXX_ASSERTIONS
#include <parallel/checkers.h>
#endif
 
namespace __gnu_parallel
{
/** @brief Information local to one thread in the parallel quicksort run. */
template<typename _RAIter>
struct _QSBThreadLocal
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
/** @brief Continuous part of the sequence, described by an
iterator pair. */
typedef std::pair<_RAIter, _RAIter> _Piece;
 
/** @brief Initial piece to work on. */
_Piece _M_initial;
 
/** @brief Work-stealing queue. */
_RestrictedBoundedConcurrentQueue<_Piece> _M_leftover_parts;
 
/** @brief Number of threads involved in this algorithm. */
_ThreadIndex _M_num_threads;
 
/** @brief Pointer to a counter of elements left over to sort. */
volatile _DifferenceType* _M_elements_leftover;
 
/** @brief The complete sequence to sort. */
_Piece _M_global;
 
/** @brief Constructor.
* @param __queue_size size of the work-stealing queue. */
_QSBThreadLocal(int __queue_size) : _M_leftover_parts(__queue_size) { }
};
 
/** @brief Balanced quicksort divide step.
* @param __begin Begin iterator of subsequence.
* @param __end End iterator of subsequence.
* @param __comp Comparator.
* @param __num_threads Number of threads that are allowed to work on
* this part.
* @pre @c (__end-__begin)>=1 */
template<typename _RAIter, typename _Compare>
typename std::iterator_traits<_RAIter>::difference_type
__qsb_divide(_RAIter __begin, _RAIter __end,
_Compare __comp, _ThreadIndex __num_threads)
{
_GLIBCXX_PARALLEL_ASSERT(__num_threads > 0);
 
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_RAIter __pivot_pos =
__median_of_three_iterators(__begin, __begin + (__end - __begin) / 2,
__end - 1, __comp);
 
#if defined(_GLIBCXX_ASSERTIONS)
// Must be in between somewhere.
_DifferenceType __n = __end - __begin;
 
_GLIBCXX_PARALLEL_ASSERT((!__comp(*__pivot_pos, *__begin)
&& !__comp(*(__begin + __n / 2),
*__pivot_pos))
|| (!__comp(*__pivot_pos, *__begin)
&& !__comp(*(__end - 1), *__pivot_pos))
|| (!__comp(*__pivot_pos, *(__begin + __n / 2))
&& !__comp(*__begin, *__pivot_pos))
|| (!__comp(*__pivot_pos, *(__begin + __n / 2))
&& !__comp(*(__end - 1), *__pivot_pos))
|| (!__comp(*__pivot_pos, *(__end - 1))
&& !__comp(*__begin, *__pivot_pos))
|| (!__comp(*__pivot_pos, *(__end - 1))
&& !__comp(*(__begin + __n / 2),
*__pivot_pos)));
#endif
 
// Swap pivot value to end.
if (__pivot_pos != (__end - 1))
std::iter_swap(__pivot_pos, __end - 1);
__pivot_pos = __end - 1;
 
__gnu_parallel::__binder2nd<_Compare, _ValueType, _ValueType, bool>
__pred(__comp, *__pivot_pos);
 
// Divide, returning __end - __begin - 1 in the worst case.
_DifferenceType __split_pos = __parallel_partition(__begin, __end - 1,
__pred,
__num_threads);
 
// Swap back pivot to middle.
std::iter_swap(__begin + __split_pos, __pivot_pos);
__pivot_pos = __begin + __split_pos;
 
#if _GLIBCXX_ASSERTIONS
_RAIter __r;
for (__r = __begin; __r != __pivot_pos; ++__r)
_GLIBCXX_PARALLEL_ASSERT(__comp(*__r, *__pivot_pos));
for (; __r != __end; ++__r)
_GLIBCXX_PARALLEL_ASSERT(!__comp(*__r, *__pivot_pos));
#endif
 
return __split_pos;
}
 
/** @brief Quicksort conquer step.
* @param __tls Array of thread-local storages.
* @param __begin Begin iterator of subsequence.
* @param __end End iterator of subsequence.
* @param __comp Comparator.
* @param __iam Number of the thread processing this function.
* @param __num_threads
* Number of threads that are allowed to work on this part. */
template<typename _RAIter, typename _Compare>
void
__qsb_conquer(_QSBThreadLocal<_RAIter>** __tls,
_RAIter __begin, _RAIter __end,
_Compare __comp,
_ThreadIndex __iam, _ThreadIndex __num_threads,
bool __parent_wait)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
 
if (__num_threads <= 1 || __n <= 1)
{
__tls[__iam]->_M_initial.first = __begin;
__tls[__iam]->_M_initial.second = __end;
 
__qsb_local_sort_with_helping(__tls, __comp, __iam, __parent_wait);
 
return;
}
 
// Divide step.
_DifferenceType __split_pos =
__qsb_divide(__begin, __end, __comp, __num_threads);
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(0 <= __split_pos &&
__split_pos < (__end - __begin));
#endif
 
_ThreadIndex
__num_threads_leftside = std::max<_ThreadIndex>
(1, std::min<_ThreadIndex>(__num_threads - 1, __split_pos
* __num_threads / __n));
 
# pragma omp atomic
*__tls[__iam]->_M_elements_leftover -= (_DifferenceType)1;
 
// Conquer step.
# pragma omp parallel num_threads(2)
{
bool __wait;
if(omp_get_num_threads() < 2)
__wait = false;
else
__wait = __parent_wait;
 
# pragma omp sections
{
# pragma omp section
{
__qsb_conquer(__tls, __begin, __begin + __split_pos, __comp,
__iam, __num_threads_leftside, __wait);
__wait = __parent_wait;
}
// The pivot_pos is left in place, to ensure termination.
# pragma omp section
{
__qsb_conquer(__tls, __begin + __split_pos + 1, __end, __comp,
__iam + __num_threads_leftside,
__num_threads - __num_threads_leftside, __wait);
__wait = __parent_wait;
}
}
}
}
 
/**
* @brief Quicksort step doing load-balanced local sort.
* @param __tls Array of thread-local storages.
* @param __comp Comparator.
* @param __iam Number of the thread processing this function.
*/
template<typename _RAIter, typename _Compare>
void
__qsb_local_sort_with_helping(_QSBThreadLocal<_RAIter>** __tls,
_Compare& __comp, _ThreadIndex __iam,
bool __wait)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef std::pair<_RAIter, _RAIter> _Piece;
 
_QSBThreadLocal<_RAIter>& __tl = *__tls[__iam];
 
_DifferenceType
__base_case_n = _Settings::get().sort_qsb_base_case_maximal_n;
if (__base_case_n < 2)
__base_case_n = 2;
_ThreadIndex __num_threads = __tl._M_num_threads;
 
// Every thread has its own random number generator.
_RandomNumber __rng(__iam + 1);
 
_Piece __current = __tl._M_initial;
 
_DifferenceType __elements_done = 0;
#if _GLIBCXX_ASSERTIONS
_DifferenceType __total_elements_done = 0;
#endif
 
for (;;)
{
// Invariant: __current must be a valid (maybe empty) range.
_RAIter __begin = __current.first, __end = __current.second;
_DifferenceType __n = __end - __begin;
 
if (__n > __base_case_n)
{
// Divide.
_RAIter __pivot_pos = __begin + __rng(__n);
 
// Swap __pivot_pos value to end.
if (__pivot_pos != (__end - 1))
std::iter_swap(__pivot_pos, __end - 1);
__pivot_pos = __end - 1;
 
__gnu_parallel::__binder2nd
<_Compare, _ValueType, _ValueType, bool>
__pred(__comp, *__pivot_pos);
 
// Divide, leave pivot unchanged in last place.
_RAIter __split_pos1, __split_pos2;
__split_pos1 = __gnu_sequential::partition(__begin, __end - 1,
__pred);
 
// Left side: < __pivot_pos; __right side: >= __pivot_pos.
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__begin <= __split_pos1
&& __split_pos1 < __end);
#endif
// Swap pivot back to middle.
if (__split_pos1 != __pivot_pos)
std::iter_swap(__split_pos1, __pivot_pos);
__pivot_pos = __split_pos1;
 
// In case all elements are equal, __split_pos1 == 0.
if ((__split_pos1 + 1 - __begin) < (__n >> 7)
|| (__end - __split_pos1) < (__n >> 7))
{
// Very unequal split, one part smaller than one 128th
// elements not strictly larger than the pivot.
__gnu_parallel::__unary_negate<__gnu_parallel::__binder1st
<_Compare, _ValueType, _ValueType, bool>, _ValueType>
__pred(__gnu_parallel::__binder1st
<_Compare, _ValueType, _ValueType, bool>
(__comp, *__pivot_pos));
 
// Find other end of pivot-equal range.
__split_pos2 = __gnu_sequential::partition(__split_pos1 + 1,
__end, __pred);
}
else
// Only skip the pivot.
__split_pos2 = __split_pos1 + 1;
 
// Elements equal to pivot are done.
__elements_done += (__split_pos2 - __split_pos1);
#if _GLIBCXX_ASSERTIONS
__total_elements_done += (__split_pos2 - __split_pos1);
#endif
// Always push larger part onto stack.
if (((__split_pos1 + 1) - __begin) < (__end - (__split_pos2)))
{
// Right side larger.
if ((__split_pos2) != __end)
__tl._M_leftover_parts.push_front
(std::make_pair(__split_pos2, __end));
 
//__current.first = __begin; //already set anyway
__current.second = __split_pos1;
continue;
}
else
{
// Left side larger.
if (__begin != __split_pos1)
__tl._M_leftover_parts.push_front(std::make_pair
(__begin, __split_pos1));
 
__current.first = __split_pos2;
//__current.second = __end; //already set anyway
continue;
}
}
else
{
__gnu_sequential::sort(__begin, __end, __comp);
__elements_done += __n;
#if _GLIBCXX_ASSERTIONS
__total_elements_done += __n;
#endif
 
// Prefer own stack, small pieces.
if (__tl._M_leftover_parts.pop_front(__current))
continue;
 
# pragma omp atomic
*__tl._M_elements_leftover -= __elements_done;
 
__elements_done = 0;
 
#if _GLIBCXX_ASSERTIONS
double __search_start = omp_get_wtime();
#endif
 
// Look for new work.
bool __successfully_stolen = false;
while (__wait && *__tl._M_elements_leftover > 0
&& !__successfully_stolen
#if _GLIBCXX_ASSERTIONS
// Possible dead-lock.
&& (omp_get_wtime() < (__search_start + 1.0))
#endif
)
{
_ThreadIndex __victim;
__victim = __rng(__num_threads);
 
// Large pieces.
__successfully_stolen = (__victim != __iam)
&& __tls[__victim]->_M_leftover_parts.pop_back(__current);
if (!__successfully_stolen)
__yield();
#if !defined(__ICC) && !defined(__ECC)
# pragma omp flush
#endif
}
 
#if _GLIBCXX_ASSERTIONS
if (omp_get_wtime() >= (__search_start + 1.0))
{
sleep(1);
_GLIBCXX_PARALLEL_ASSERT(omp_get_wtime()
< (__search_start + 1.0));
}
#endif
if (!__successfully_stolen)
{
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(*__tl._M_elements_leftover == 0);
#endif
return;
}
}
}
}
 
/** @brief Top-level quicksort routine.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __comp Comparator.
* @param __num_threads Number of threads that are allowed to work on
* this part.
*/
template<typename _RAIter, typename _Compare>
void
__parallel_sort_qsb(_RAIter __begin, _RAIter __end,
_Compare __comp, _ThreadIndex __num_threads)
{
_GLIBCXX_CALL(__end - __begin)
 
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef std::pair<_RAIter, _RAIter> _Piece;
 
typedef _QSBThreadLocal<_RAIter> _TLSType;
 
_DifferenceType __n = __end - __begin;
 
if (__n <= 1)
return;
 
// At least one element per processor.
if (__num_threads > __n)
__num_threads = static_cast<_ThreadIndex>(__n);
 
// Initialize thread local storage
_TLSType** __tls = new _TLSType*[__num_threads];
_DifferenceType __queue_size = (__num_threads
* (_ThreadIndex)(__rd_log2(__n) + 1));
for (_ThreadIndex __t = 0; __t < __num_threads; ++__t)
__tls[__t] = new _QSBThreadLocal<_RAIter>(__queue_size);
 
// There can never be more than ceil(__rd_log2(__n)) ranges on the
// stack, because
// 1. Only one processor pushes onto the stack
// 2. The largest range has at most length __n
// 3. Each range is larger than half of the range remaining
volatile _DifferenceType __elements_leftover = __n;
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
{
__tls[__i]->_M_elements_leftover = &__elements_leftover;
__tls[__i]->_M_num_threads = __num_threads;
__tls[__i]->_M_global = std::make_pair(__begin, __end);
 
// Just in case nothing is left to assign.
__tls[__i]->_M_initial = std::make_pair(__end, __end);
}
 
// Main recursion call.
__qsb_conquer(__tls, __begin, __begin + __n, __comp, 0,
__num_threads, true);
 
#if _GLIBCXX_ASSERTIONS
// All stack must be empty.
_Piece __dummy;
for (_ThreadIndex __i = 1; __i < __num_threads; ++__i)
_GLIBCXX_PARALLEL_ASSERT(
!__tls[__i]->_M_leftover_parts.pop_back(__dummy));
#endif
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
delete __tls[__i];
delete[] __tls;
}
} // namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_BALANCED_QUICKSORT_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/base.h
0,0 → 1,426
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/base.h
* @brief Sequential helper functions.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_BASE_H
#define _GLIBCXX_PARALLEL_BASE_H 1
 
#include <bits/c++config.h>
#include <bits/stl_function.h>
#include <omp.h>
#include <parallel/features.h>
#include <parallel/basic_iterator.h>
#include <parallel/parallel.h>
 
// Parallel mode namespaces.
 
/**
* @namespace std::__parallel
* @brief GNU parallel code, replaces standard behavior with parallel behavior.
*/
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel { }
}
 
/**
* @namespace __gnu_parallel
* @brief GNU parallel code for public use.
*/
namespace __gnu_parallel
{
// Import all the parallel versions of components in namespace std.
using namespace std::__parallel;
}
 
/**
* @namespace __gnu_sequential
* @brief GNU sequential classes for public use.
*/
namespace __gnu_sequential
{
// Import whatever is the serial version.
#ifdef _GLIBCXX_PARALLEL
using namespace std::_GLIBCXX_STD_A;
#else
using namespace std;
#endif
}
 
 
namespace __gnu_parallel
{
// NB: Including this file cannot produce (unresolved) symbols from
// the OpenMP runtime unless the parallel mode is actually invoked
// and active, which imples that the OpenMP runtime is actually
// going to be linked in.
inline _ThreadIndex
__get_max_threads()
{
_ThreadIndex __i = omp_get_max_threads();
return __i > 1 ? __i : 1;
}
 
 
inline bool
__is_parallel(const _Parallelism __p) { return __p != sequential; }
 
 
/** @brief Calculates the rounded-down logarithm of @c __n for base 2.
* @param __n Argument.
* @return Returns 0 for any argument <1.
*/
template<typename _Size>
inline _Size
__rd_log2(_Size __n)
{
_Size __k;
for (__k = 0; __n > 1; __n >>= 1)
++__k;
return __k;
}
 
/** @brief Encode two integers into one gnu_parallel::_CASable.
* @param __a First integer, to be encoded in the most-significant @c
* _CASable_bits/2 bits.
* @param __b Second integer, to be encoded in the least-significant
* @c _CASable_bits/2 bits.
* @return value encoding @c __a and @c __b.
* @see __decode2
*/
inline _CASable
__encode2(int __a, int __b) //must all be non-negative, actually
{
return (((_CASable)__a) << (_CASable_bits / 2)) | (((_CASable)__b) << 0);
}
 
/** @brief Decode two integers from one gnu_parallel::_CASable.
* @param __x __gnu_parallel::_CASable to decode integers from.
* @param __a First integer, to be decoded from the most-significant
* @c _CASable_bits/2 bits of @c __x.
* @param __b Second integer, to be encoded in the least-significant
* @c _CASable_bits/2 bits of @c __x.
* @see __encode2
*/
inline void
__decode2(_CASable __x, int& __a, int& __b)
{
__a = (int)((__x >> (_CASable_bits / 2)) & _CASable_mask);
__b = (int)((__x >> 0 ) & _CASable_mask);
}
 
//needed for parallel "numeric", even if "algorithm" not included
 
/** @brief Equivalent to std::min. */
template<typename _Tp>
inline const _Tp&
min(const _Tp& __a, const _Tp& __b)
{ return (__a < __b) ? __a : __b; }
 
/** @brief Equivalent to std::max. */
template<typename _Tp>
inline const _Tp&
max(const _Tp& __a, const _Tp& __b)
{ return (__a > __b) ? __a : __b; }
 
/** @brief Constructs predicate for equality from strict weak
* ordering predicate
*/
template<typename _T1, typename _T2, typename _Compare>
class _EqualFromLess : public std::binary_function<_T1, _T2, bool>
{
private:
_Compare& _M_comp;
 
public:
_EqualFromLess(_Compare& __comp) : _M_comp(__comp) { }
 
bool operator()(const _T1& __a, const _T2& __b)
{ return !_M_comp(__a, __b) && !_M_comp(__b, __a); }
};
 
 
/** @brief Similar to std::unary_negate,
* but giving the argument types explicitly. */
template<typename _Predicate, typename argument_type>
class __unary_negate
: public std::unary_function<argument_type, bool>
{
protected:
_Predicate _M_pred;
 
public:
explicit
__unary_negate(const _Predicate& __x) : _M_pred(__x) { }
 
bool
operator()(const argument_type& __x)
{ return !_M_pred(__x); }
};
 
/** @brief Similar to std::binder1st,
* but giving the argument types explicitly. */
template<typename _Operation, typename _FirstArgumentType,
typename _SecondArgumentType, typename _ResultType>
class __binder1st
: public std::unary_function<_SecondArgumentType, _ResultType>
{
protected:
_Operation _M_op;
_FirstArgumentType _M_value;
 
public:
__binder1st(const _Operation& __x, const _FirstArgumentType& __y)
: _M_op(__x), _M_value(__y) { }
 
_ResultType
operator()(const _SecondArgumentType& __x)
{ return _M_op(_M_value, __x); }
 
// _GLIBCXX_RESOLVE_LIB_DEFECTS
// 109. Missing binders for non-const sequence elements
_ResultType
operator()(_SecondArgumentType& __x) const
{ return _M_op(_M_value, __x); }
};
 
/**
* @brief Similar to std::binder2nd, but giving the argument types
* explicitly.
*/
template<typename _Operation, typename _FirstArgumentType,
typename _SecondArgumentType, typename _ResultType>
class __binder2nd
: public std::unary_function<_FirstArgumentType, _ResultType>
{
protected:
_Operation _M_op;
_SecondArgumentType _M_value;
 
public:
__binder2nd(const _Operation& __x, const _SecondArgumentType& __y)
: _M_op(__x), _M_value(__y) { }
 
_ResultType
operator()(const _FirstArgumentType& __x) const
{ return _M_op(__x, _M_value); }
 
// _GLIBCXX_RESOLVE_LIB_DEFECTS
// 109. Missing binders for non-const sequence elements
_ResultType
operator()(_FirstArgumentType& __x)
{ return _M_op(__x, _M_value); }
};
 
/** @brief Similar to std::equal_to, but allows two different types. */
template<typename _T1, typename _T2>
struct _EqualTo : std::binary_function<_T1, _T2, bool>
{
bool operator()(const _T1& __t1, const _T2& __t2) const
{ return __t1 == __t2; }
};
 
/** @brief Similar to std::less, but allows two different types. */
template<typename _T1, typename _T2>
struct _Less : std::binary_function<_T1, _T2, bool>
{
bool
operator()(const _T1& __t1, const _T2& __t2) const
{ return __t1 < __t2; }
 
bool
operator()(const _T2& __t2, const _T1& __t1) const
{ return __t2 < __t1; }
};
 
// Partial specialization for one type. Same as std::less.
template<typename _Tp>
struct _Less<_Tp, _Tp>
: public std::less<_Tp> { };
 
/** @brief Similar to std::plus, but allows two different types. */
template<typename _Tp1, typename _Tp2, typename _Result
= __typeof__(*static_cast<_Tp1*>(0)
+ *static_cast<_Tp2*>(0))>
struct _Plus : public std::binary_function<_Tp1, _Tp2, _Result>
{
_Result
operator()(const _Tp1& __x, const _Tp2& __y) const
{ return __x + __y; }
};
 
// Partial specialization for one type. Same as std::plus.
template<typename _Tp>
struct _Plus<_Tp, _Tp, _Tp>
: public std::plus<_Tp> { };
 
/** @brief Similar to std::multiplies, but allows two different types. */
template<typename _Tp1, typename _Tp2, typename _Result
= __typeof__(*static_cast<_Tp1*>(0)
* *static_cast<_Tp2*>(0))>
struct _Multiplies : public std::binary_function<_Tp1, _Tp2, _Result>
{
_Result
operator()(const _Tp1& __x, const _Tp2& __y) const
{ return __x * __y; }
};
 
// Partial specialization for one type. Same as std::multiplies.
template<typename _Tp>
struct _Multiplies<_Tp, _Tp, _Tp>
: public std::multiplies<_Tp> { };
 
/** @brief _Iterator associated with __gnu_parallel::_PseudoSequence.
* If features the usual random-access iterator functionality.
* @param _Tp Sequence _M_value type.
* @param _DifferenceTp Sequence difference type.
*/
template<typename _Tp, typename _DifferenceTp>
class _PseudoSequenceIterator
{
public:
typedef _DifferenceTp _DifferenceType;
 
_PseudoSequenceIterator(const _Tp& __val, _DifferenceType __pos)
: _M_val(__val), _M_pos(__pos) { }
 
// Pre-increment operator.
_PseudoSequenceIterator&
operator++()
{
++_M_pos;
return *this;
}
 
// Post-increment operator.
_PseudoSequenceIterator
operator++(int)
{ return _PseudoSequenceIterator(_M_pos++); }
 
const _Tp&
operator*() const
{ return _M_val; }
 
const _Tp&
operator[](_DifferenceType) const
{ return _M_val; }
 
bool
operator==(const _PseudoSequenceIterator& __i2)
{ return _M_pos == __i2._M_pos; }
 
bool
operator!=(const _PseudoSequenceIterator& __i2)
{ return _M_pos != __i2._M_pos; }
 
_DifferenceType
operator-(const _PseudoSequenceIterator& __i2)
{ return _M_pos - __i2._M_pos; }
 
private:
const _Tp& _M_val;
_DifferenceType _M_pos;
};
 
/** @brief Sequence that conceptually consists of multiple copies of
the same element.
* The copies are not stored explicitly, of course.
* @param _Tp Sequence _M_value type.
* @param _DifferenceTp Sequence difference type.
*/
template<typename _Tp, typename _DifferenceTp>
class _PseudoSequence
{
public:
typedef _DifferenceTp _DifferenceType;
 
// Better cast down to uint64_t, than up to _DifferenceTp.
typedef _PseudoSequenceIterator<_Tp, uint64_t> iterator;
 
/** @brief Constructor.
* @param __val Element of the sequence.
* @param __count Number of (virtual) copies.
*/
_PseudoSequence(const _Tp& __val, _DifferenceType __count)
: _M_val(__val), _M_count(__count) { }
 
/** @brief Begin iterator. */
iterator
begin() const
{ return iterator(_M_val, 0); }
 
/** @brief End iterator. */
iterator
end() const
{ return iterator(_M_val, _M_count); }
 
private:
const _Tp& _M_val;
_DifferenceType _M_count;
};
 
/** @brief Compute the median of three referenced elements,
according to @c __comp.
* @param __a First iterator.
* @param __b Second iterator.
* @param __c Third iterator.
* @param __comp Comparator.
*/
template<typename _RAIter, typename _Compare>
_RAIter
__median_of_three_iterators(_RAIter __a, _RAIter __b,
_RAIter __c, _Compare __comp)
{
if (__comp(*__a, *__b))
if (__comp(*__b, *__c))
return __b;
else
if (__comp(*__a, *__c))
return __c;
else
return __a;
else
{
// Just swap __a and __b.
if (__comp(*__a, *__c))
return __a;
else
if (__comp(*__b, *__c))
return __c;
else
return __b;
}
}
 
#define _GLIBCXX_PARALLEL_ASSERT(_Condition) __glibcxx_assert(_Condition)
 
} //namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_BASE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/basic_iterator.h
0,0 → 1,41
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/basic_iterator.h
* @brief Includes the original header files concerned with iterators
* except for stream iterators.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_BASIC_ITERATOR_H
#define _GLIBCXX_PARALLEL_BASIC_ITERATOR_H 1
 
#include <bits/c++config.h>
#include <bits/stl_iterator_base_types.h>
#include <bits/stl_iterator_base_funcs.h>
#include <bits/stl_iterator.h>
 
#endif /* _GLIBCXX_PARALLEL_BASIC_ITERATOR_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/checkers.h
0,0 → 1,73
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/checkers.h
* @brief Routines for checking the correctness of algorithm results.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_CHECKERS_H
#define _GLIBCXX_PARALLEL_CHECKERS_H 1
 
#include <cstdio>
#include <bits/stl_algobase.h>
#include <bits/stl_function.h>
 
namespace __gnu_parallel
{
/**
* @brief Check whether @c [__begin, @c __end) is sorted according
* to @c __comp.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __comp Comparator.
* @return @c true if sorted, @c false otherwise.
*/
template<typename _IIter, typename _Compare>
bool
__is_sorted(_IIter __begin, _IIter __end, _Compare __comp)
{
if (__begin == __end)
return true;
 
_IIter __current(__begin), __recent(__begin);
 
unsigned long long __position = 1;
for (__current++; __current != __end; __current++)
{
if (__comp(*__current, *__recent))
{
return false;
}
__recent = __current;
__position++;
}
 
return true;
}
}
 
#endif /* _GLIBCXX_PARALLEL_CHECKERS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/compatibility.h
0,0 → 1,131
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/compatibility.h
* @brief Compatibility layer, mostly concerned with atomic operations.
*
* This file is a GNU parallel extension to the Standard C++ Library
* and contains implementation details for the library's internal use.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_COMPATIBILITY_H
#define _GLIBCXX_PARALLEL_COMPATIBILITY_H 1
 
#include <parallel/types.h>
#include <parallel/base.h>
 
#if !defined(_WIN32) || defined (__CYGWIN__)
#include <sched.h>
#endif
 
#ifdef __MINGW32__
// Including <windows.h> will drag in all the windows32 names. Since
// that can cause user code portability problems, we just declare the
// one needed function here.
extern "C"
__attribute((dllimport)) void __attribute__((stdcall)) Sleep (unsigned long);
#endif
 
namespace __gnu_parallel
{
template<typename _Tp>
inline _Tp
__add_omp(volatile _Tp* __ptr, _Tp __addend)
{
int64_t __res;
#pragma omp critical
{
__res = *__ptr;
*(__ptr) += __addend;
}
return __res;
}
 
/** @brief Add a value to a variable, atomically.
*
* @param __ptr Pointer to a signed integer.
* @param __addend Value to add.
*/
template<typename _Tp>
inline _Tp
__fetch_and_add(volatile _Tp* __ptr, _Tp __addend)
{
if (__atomic_always_lock_free(sizeof(_Tp), __ptr))
return __atomic_fetch_add(__ptr, __addend, __ATOMIC_ACQ_REL);
return __add_omp(__ptr, __addend);
}
 
template<typename _Tp>
inline bool
__cas_omp(volatile _Tp* __ptr, _Tp __comparand, _Tp __replacement)
{
bool __res = false;
#pragma omp critical
{
if (*__ptr == __comparand)
{
*__ptr = __replacement;
__res = true;
}
}
return __res;
}
 
/** @brief Compare-and-swap
*
* Compare @c *__ptr and @c __comparand. If equal, let @c
* *__ptr=__replacement and return @c true, return @c false otherwise.
*
* @param __ptr Pointer to signed integer.
* @param __comparand Compare value.
* @param __replacement Replacement value.
*/
template<typename _Tp>
inline bool
__compare_and_swap(volatile _Tp* __ptr, _Tp __comparand, _Tp __replacement)
{
if (__atomic_always_lock_free(sizeof(_Tp), __ptr))
return __atomic_compare_exchange_n(__ptr, &__comparand, __replacement,
false, __ATOMIC_ACQ_REL,
__ATOMIC_RELAXED);
return __cas_omp(__ptr, __comparand, __replacement);
}
 
/** @brief Yield control to another thread, without waiting for
* the end of the time slice.
*/
inline void
__yield()
{
#if defined (_WIN32) && !defined (__CYGWIN__)
Sleep(0);
#else
sched_yield();
#endif
}
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_COMPATIBILITY_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/compiletime_settings.h
0,0 → 1,75
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/compiletime_settings.h
* @brief Defines on options concerning debugging and performance, at
* compile-time.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#include <cstdio>
 
/** @brief Determine verbosity level of the parallel mode.
* Level 1 prints a message each time a parallel-mode function is entered. */
#define _GLIBCXX_VERBOSE_LEVEL 0
 
/** @def _GLIBCXX_CALL
* @brief Macro to produce log message when entering a function.
* @param __n Input size.
* @see _GLIBCXX_VERBOSE_LEVEL */
#if (_GLIBCXX_VERBOSE_LEVEL == 0)
#define _GLIBCXX_CALL(__n)
#endif
#if (_GLIBCXX_VERBOSE_LEVEL == 1)
#define _GLIBCXX_CALL(__n) \
printf(" %__s:\niam = %d, __n = %ld, __num_threads = %d\n", \
__PRETTY_FUNCTION__, omp_get_thread_num(), (__n), __get_max_threads());
#endif
 
#ifndef _GLIBCXX_SCALE_DOWN_FPU
/** @brief Use floating-point scaling instead of modulo for mapping
* random numbers to a range. This can be faster on certain CPUs. */
#define _GLIBCXX_SCALE_DOWN_FPU 0
#endif
 
#ifndef _GLIBCXX_ASSERTIONS
/** @brief Switch on many _GLIBCXX_PARALLEL_ASSERTions in parallel code.
* Should be switched on only locally. */
#define _GLIBCXX_ASSERTIONS 0
#endif
 
#ifndef _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1
/** @brief Switch on many _GLIBCXX_PARALLEL_ASSERTions in parallel code.
* Consider the size of the L1 cache for
* gnu_parallel::__parallel_random_shuffle(). */
#define _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1 0
#endif
#ifndef _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB
/** @brief Switch on many _GLIBCXX_PARALLEL_ASSERTions in parallel code.
* Consider the size of the TLB for
* gnu_parallel::__parallel_random_shuffle(). */
#define _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB 0
#endif
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/equally_split.h
0,0 → 1,89
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/equally_split.h
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_EQUALLY_SPLIT_H
#define _GLIBCXX_PARALLEL_EQUALLY_SPLIT_H 1
 
namespace __gnu_parallel
{
/** @brief function to split a sequence into parts of almost equal size.
*
* The resulting sequence __s of length __num_threads+1 contains the
* splitting positions when splitting the range [0,__n) into parts of
* almost equal size (plus minus 1). The first entry is 0, the last
* one n. There may result empty parts.
* @param __n Number of elements
* @param __num_threads Number of parts
* @param __s Splitters
* @returns End of __splitter sequence, i.e. @c __s+__num_threads+1 */
template<typename _DifferenceType, typename _OutputIterator>
_OutputIterator
__equally_split(_DifferenceType __n, _ThreadIndex __num_threads,
_OutputIterator __s)
{
_DifferenceType __chunk_length = __n / __num_threads;
_DifferenceType __num_longer_chunks = __n % __num_threads;
_DifferenceType __pos = 0;
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
{
*__s++ = __pos;
__pos += ((__i < __num_longer_chunks)
? (__chunk_length + 1) : __chunk_length);
}
*__s++ = __n;
return __s;
}
 
/** @brief function to split a sequence into parts of almost equal size.
*
* Returns the position of the splitting point between
* thread number __thread_no (included) and
* thread number __thread_no+1 (excluded).
* @param __n Number of elements
* @param __num_threads Number of parts
* @param __thread_no Number of threads
* @returns splitting point */
template<typename _DifferenceType>
_DifferenceType
__equally_split_point(_DifferenceType __n,
_ThreadIndex __num_threads,
_ThreadIndex __thread_no)
{
_DifferenceType __chunk_length = __n / __num_threads;
_DifferenceType __num_longer_chunks = __n % __num_threads;
if (__thread_no < __num_longer_chunks)
return __thread_no * (__chunk_length + 1);
else
return __num_longer_chunks * (__chunk_length + 1)
+ (__thread_no - __num_longer_chunks) * __chunk_length;
}
}
 
#endif /* _GLIBCXX_PARALLEL_EQUALLY_SPLIT_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/features.h
0,0 → 1,104
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/features.h
* @brief Defines on whether to include algorithm variants.
*
* Less variants reduce executable size and compile time.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_FEATURES_H
#define _GLIBCXX_PARALLEL_FEATURES_H 1
 
#ifndef _GLIBCXX_MERGESORT
/** @def _GLIBCXX_MERGESORT
* @brief Include parallel multi-way mergesort.
* @see __gnu_parallel::_Settings::sort_algorithm */
#define _GLIBCXX_MERGESORT 1
#endif
 
#ifndef _GLIBCXX_QUICKSORT
/** @def _GLIBCXX_QUICKSORT
* @brief Include parallel unbalanced quicksort.
* @see __gnu_parallel::_Settings::sort_algorithm */
#define _GLIBCXX_QUICKSORT 1
#endif
 
#ifndef _GLIBCXX_BAL_QUICKSORT
/** @def _GLIBCXX_BAL_QUICKSORT
* @brief Include parallel dynamically load-balanced quicksort.
* @see __gnu_parallel::_Settings::sort_algorithm */
#define _GLIBCXX_BAL_QUICKSORT 1
#endif
 
#ifndef _GLIBCXX_FIND_GROWING_BLOCKS
/** @brief Include the growing blocks variant for std::find.
* @see __gnu_parallel::_Settings::find_algorithm */
#define _GLIBCXX_FIND_GROWING_BLOCKS 1
#endif
 
#ifndef _GLIBCXX_FIND_CONSTANT_SIZE_BLOCKS
/** @brief Include the equal-sized blocks variant for std::find.
* @see __gnu_parallel::_Settings::find_algorithm */
#define _GLIBCXX_FIND_CONSTANT_SIZE_BLOCKS 1
#endif
 
#ifndef _GLIBCXX_FIND_EQUAL_SPLIT
/** @def _GLIBCXX_FIND_EQUAL_SPLIT
* @brief Include the equal splitting variant for std::find.
* @see __gnu_parallel::_Settings::find_algorithm */
#define _GLIBCXX_FIND_EQUAL_SPLIT 1
#endif
 
 
#ifndef _GLIBCXX_TREE_INITIAL_SPLITTING
/** @def _GLIBCXX_TREE_INITIAL_SPLITTING
* @brief Include the initial splitting variant for
* _Rb_tree::insert_unique(_IIter beg, _IIter __end).
* @see __gnu_parallel::_Rb_tree */
#define _GLIBCXX_TREE_INITIAL_SPLITTING 1
#endif
 
#ifndef _GLIBCXX_TREE_DYNAMIC_BALANCING
/** @def _GLIBCXX_TREE_DYNAMIC_BALANCING
* @brief Include the dynamic balancing variant for
* _Rb_tree::insert_unique(_IIter beg, _IIter __end).
* @see __gnu_parallel::_Rb_tree */
#define _GLIBCXX_TREE_DYNAMIC_BALANCING 1
#endif
 
#ifndef _GLIBCXX_TREE_FULL_COPY
/** @def _GLIBCXX_TREE_FULL_COPY
* @brief In order to sort the input sequence of
* _Rb_tree::insert_unique(_IIter beg, _IIter __end) a
* full copy of the input elements is done.
* @see __gnu_parallel::_Rb_tree */
#define _GLIBCXX_TREE_FULL_COPY 1
#endif
 
 
#endif /* _GLIBCXX_PARALLEL_FEATURES_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/find.h
0,0 → 1,405
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/find.h
* @brief Parallel implementation base for std::find(), std::equal()
* and related functions.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze and Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_FIND_H
#define _GLIBCXX_PARALLEL_FIND_H 1
 
#include <bits/stl_algobase.h>
 
#include <parallel/features.h>
#include <parallel/parallel.h>
#include <parallel/compatibility.h>
#include <parallel/equally_split.h>
 
namespace __gnu_parallel
{
/**
* @brief Parallel std::find, switch for different algorithms.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence. Must have same
* length as first sequence.
* @param __pred Find predicate.
* @param __selector _Functionality (e. g. std::find_if(), std::equal(),...)
* @return Place of finding in both sequences.
*/
template<typename _RAIter1,
typename _RAIter2,
typename _Pred,
typename _Selector>
inline std::pair<_RAIter1, _RAIter2>
__find_template(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred, _Selector __selector)
{
switch (_Settings::get().find_algorithm)
{
case GROWING_BLOCKS:
return __find_template(__begin1, __end1, __begin2, __pred,
__selector, growing_blocks_tag());
case CONSTANT_SIZE_BLOCKS:
return __find_template(__begin1, __end1, __begin2, __pred,
__selector, constant_size_blocks_tag());
case EQUAL_SPLIT:
return __find_template(__begin1, __end1, __begin2, __pred,
__selector, equal_split_tag());
default:
_GLIBCXX_PARALLEL_ASSERT(false);
return std::make_pair(__begin1, __begin2);
}
}
 
#if _GLIBCXX_FIND_EQUAL_SPLIT
 
/**
* @brief Parallel std::find, equal splitting variant.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence. Second __sequence
* must have same length as first sequence.
* @param __pred Find predicate.
* @param __selector _Functionality (e. g. std::find_if(), std::equal(),...)
* @return Place of finding in both sequences.
*/
template<typename _RAIter1,
typename _RAIter2,
typename _Pred,
typename _Selector>
std::pair<_RAIter1, _RAIter2>
__find_template(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred,
_Selector __selector, equal_split_tag)
{
_GLIBCXX_CALL(__end1 - __begin1)
 
typedef std::iterator_traits<_RAIter1> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename _TraitsType::value_type _ValueType;
 
_DifferenceType __length = __end1 - __begin1;
_DifferenceType __result = __length;
_DifferenceType* __borders;
 
omp_lock_t __result_lock;
omp_init_lock(&__result_lock);
 
_ThreadIndex __num_threads = __get_max_threads();
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__borders = new _DifferenceType[__num_threads + 1];
__equally_split(__length, __num_threads, __borders);
} //single
 
_ThreadIndex __iam = omp_get_thread_num();
_DifferenceType __start = __borders[__iam],
__stop = __borders[__iam + 1];
 
_RAIter1 __i1 = __begin1 + __start;
_RAIter2 __i2 = __begin2 + __start;
for (_DifferenceType __pos = __start; __pos < __stop; ++__pos)
{
# pragma omp flush(__result)
// Result has been set to something lower.
if (__result < __pos)
break;
 
if (__selector(__i1, __i2, __pred))
{
omp_set_lock(&__result_lock);
if (__pos < __result)
__result = __pos;
omp_unset_lock(&__result_lock);
break;
}
++__i1;
++__i2;
}
} //parallel
 
omp_destroy_lock(&__result_lock);
delete[] __borders;
 
return std::pair<_RAIter1, _RAIter2>(__begin1 + __result,
__begin2 + __result);
}
 
#endif
 
#if _GLIBCXX_FIND_GROWING_BLOCKS
 
/**
* @brief Parallel std::find, growing block size variant.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence. Second __sequence
* must have same length as first sequence.
* @param __pred Find predicate.
* @param __selector _Functionality (e. g. std::find_if(), std::equal(),...)
* @return Place of finding in both sequences.
* @see __gnu_parallel::_Settings::find_sequential_search_size
* @see __gnu_parallel::_Settings::find_scale_factor
*
* There are two main differences between the growing blocks and
* the constant-size blocks variants.
* 1. For GB, the block size grows; for CSB, the block size is fixed.
* 2. For GB, the blocks are allocated dynamically;
* for CSB, the blocks are allocated in a predetermined manner,
* namely spacial round-robin.
*/
template<typename _RAIter1,
typename _RAIter2,
typename _Pred,
typename _Selector>
std::pair<_RAIter1, _RAIter2>
__find_template(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred, _Selector __selector,
growing_blocks_tag)
{
_GLIBCXX_CALL(__end1 - __begin1)
 
typedef std::iterator_traits<_RAIter1> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename _TraitsType::value_type _ValueType;
 
const _Settings& __s = _Settings::get();
 
_DifferenceType __length = __end1 - __begin1;
 
_DifferenceType
__sequential_search_size = std::min<_DifferenceType>
(__length, __s.find_sequential_search_size);
 
// Try it sequentially first.
std::pair<_RAIter1, _RAIter2>
__find_seq_result = __selector._M_sequential_algorithm
(__begin1, __begin1 + __sequential_search_size,
__begin2, __pred);
 
if (__find_seq_result.first != (__begin1 + __sequential_search_size))
return __find_seq_result;
 
// Index of beginning of next free block (after sequential find).
_DifferenceType __next_block_start = __sequential_search_size;
_DifferenceType __result = __length;
 
omp_lock_t __result_lock;
omp_init_lock(&__result_lock);
 
const float __scale_factor = __s.find_scale_factor;
 
_ThreadIndex __num_threads = __get_max_threads();
# pragma omp parallel shared(__result) num_threads(__num_threads)
{
# pragma omp single
__num_threads = omp_get_num_threads();
 
// Not within first __k elements -> start parallel.
_ThreadIndex __iam = omp_get_thread_num();
 
_DifferenceType __block_size =
std::max<_DifferenceType>(1, __scale_factor * __next_block_start);
_DifferenceType __start = __fetch_and_add<_DifferenceType>
(&__next_block_start, __block_size);
 
// Get new block, update pointer to next block.
_DifferenceType __stop =
std::min<_DifferenceType>(__length, __start + __block_size);
 
std::pair<_RAIter1, _RAIter2> __local_result;
 
while (__start < __length)
{
# pragma omp flush(__result)
// Get new value of result.
if (__result < __start)
{
// No chance to find first element.
break;
}
 
__local_result = __selector._M_sequential_algorithm
(__begin1 + __start, __begin1 + __stop,
__begin2 + __start, __pred);
 
if (__local_result.first != (__begin1 + __stop))
{
omp_set_lock(&__result_lock);
if ((__local_result.first - __begin1) < __result)
{
__result = __local_result.first - __begin1;
 
// Result cannot be in future blocks, stop algorithm.
__fetch_and_add<_DifferenceType>(&__next_block_start,
__length);
}
omp_unset_lock(&__result_lock);
}
 
_DifferenceType __block_size =
std::max<_DifferenceType>(1, __scale_factor * __next_block_start);
 
// Get new block, update pointer to next block.
__start = __fetch_and_add<_DifferenceType>(&__next_block_start,
__block_size);
__stop =
std::min<_DifferenceType>(__length, __start + __block_size);
}
} //parallel
 
omp_destroy_lock(&__result_lock);
 
// Return iterator on found element.
return
std::pair<_RAIter1, _RAIter2>(__begin1 + __result,
__begin2 + __result);
}
 
#endif
 
#if _GLIBCXX_FIND_CONSTANT_SIZE_BLOCKS
 
/**
* @brief Parallel std::find, constant block size variant.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence. Second __sequence
* must have same length as first sequence.
* @param __pred Find predicate.
* @param __selector _Functionality (e. g. std::find_if(), std::equal(),...)
* @return Place of finding in both sequences.
* @see __gnu_parallel::_Settings::find_sequential_search_size
* @see __gnu_parallel::_Settings::find_block_size
* There are two main differences between the growing blocks and the
* constant-size blocks variants.
* 1. For GB, the block size grows; for CSB, the block size is fixed.
* 2. For GB, the blocks are allocated dynamically; for CSB, the
* blocks are allocated in a predetermined manner, namely spacial
* round-robin.
*/
template<typename _RAIter1,
typename _RAIter2,
typename _Pred,
typename _Selector>
std::pair<_RAIter1, _RAIter2>
__find_template(_RAIter1 __begin1, _RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred, _Selector __selector,
constant_size_blocks_tag)
{
_GLIBCXX_CALL(__end1 - __begin1)
typedef std::iterator_traits<_RAIter1> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename _TraitsType::value_type _ValueType;
 
const _Settings& __s = _Settings::get();
 
_DifferenceType __length = __end1 - __begin1;
 
_DifferenceType __sequential_search_size = std::min<_DifferenceType>
(__length, __s.find_sequential_search_size);
 
// Try it sequentially first.
std::pair<_RAIter1, _RAIter2>
__find_seq_result = __selector._M_sequential_algorithm
(__begin1, __begin1 + __sequential_search_size, __begin2, __pred);
 
if (__find_seq_result.first != (__begin1 + __sequential_search_size))
return __find_seq_result;
 
_DifferenceType __result = __length;
omp_lock_t __result_lock;
omp_init_lock(&__result_lock);
 
// Not within first __sequential_search_size elements -> start parallel.
 
_ThreadIndex __num_threads = __get_max_threads();
# pragma omp parallel shared(__result) num_threads(__num_threads)
{
# pragma omp single
__num_threads = omp_get_num_threads();
 
_ThreadIndex __iam = omp_get_thread_num();
_DifferenceType __block_size = __s.find_initial_block_size;
 
// First element of thread's current iteration.
_DifferenceType __iteration_start = __sequential_search_size;
 
// Where to work (initialization).
_DifferenceType __start = __iteration_start + __iam * __block_size;
_DifferenceType __stop = std::min<_DifferenceType>(__length,
__start
+ __block_size);
 
std::pair<_RAIter1, _RAIter2> __local_result;
 
while (__start < __length)
{
// Get new value of result.
# pragma omp flush(__result)
// No chance to find first element.
if (__result < __start)
break;
 
__local_result = __selector._M_sequential_algorithm
(__begin1 + __start, __begin1 + __stop,
__begin2 + __start, __pred);
 
if (__local_result.first != (__begin1 + __stop))
{
omp_set_lock(&__result_lock);
if ((__local_result.first - __begin1) < __result)
__result = __local_result.first - __begin1;
omp_unset_lock(&__result_lock);
// Will not find better value in its interval.
break;
}
 
__iteration_start += __num_threads * __block_size;
 
// Where to work.
__start = __iteration_start + __iam * __block_size;
__stop = std::min<_DifferenceType>(__length,
__start + __block_size);
}
} //parallel
 
omp_destroy_lock(&__result_lock);
 
// Return iterator on found element.
return std::pair<_RAIter1, _RAIter2>(__begin1 + __result,
__begin2 + __result);
}
#endif
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_FIND_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/find_selectors.h
0,0 → 1,197
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/find_selectors.h
* @brief _Function objects representing different tasks to be plugged
* into the parallel find algorithm.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_FIND_SELECTORS_H
#define _GLIBCXX_PARALLEL_FIND_SELECTORS_H 1
 
#include <parallel/tags.h>
#include <parallel/basic_iterator.h>
#include <bits/stl_pair.h>
 
namespace __gnu_parallel
{
/** @brief Base class of all __gnu_parallel::__find_template selectors. */
struct __generic_find_selector
{ };
 
/**
* @brief Test predicate on a single element, used for std::find()
* and std::find_if ().
*/
struct __find_if_selector : public __generic_find_selector
{
/** @brief Test on one position.
* @param __i1 _Iterator on first sequence.
* @param __i2 _Iterator on second sequence (unused).
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
bool
operator()(_RAIter1 __i1, _RAIter2 __i2, _Pred __pred)
{ return __pred(*__i1); }
 
/** @brief Corresponding sequential algorithm on a sequence.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
std::pair<_RAIter1, _RAIter2>
_M_sequential_algorithm(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred)
{ return std::make_pair(find_if(__begin1, __end1, __pred,
sequential_tag()), __begin2); }
};
 
/** @brief Test predicate on two adjacent elements. */
struct __adjacent_find_selector : public __generic_find_selector
{
/** @brief Test on one position.
* @param __i1 _Iterator on first sequence.
* @param __i2 _Iterator on second sequence (unused).
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
bool
operator()(_RAIter1 __i1, _RAIter2 __i2, _Pred __pred)
{
// Passed end iterator is one short.
return __pred(*__i1, *(__i1 + 1));
}
 
/** @brief Corresponding sequential algorithm on a sequence.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
std::pair<_RAIter1, _RAIter2>
_M_sequential_algorithm(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred)
{
// Passed end iterator is one short.
_RAIter1 __spot = adjacent_find(__begin1, __end1 + 1,
__pred, sequential_tag());
if (__spot == (__end1 + 1))
__spot = __end1;
return std::make_pair(__spot, __begin2);
}
};
 
/** @brief Test inverted predicate on a single element. */
struct __mismatch_selector : public __generic_find_selector
{
/**
* @brief Test on one position.
* @param __i1 _Iterator on first sequence.
* @param __i2 _Iterator on second sequence (unused).
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
bool
operator()(_RAIter1 __i1, _RAIter2 __i2, _Pred __pred)
{ return !__pred(*__i1, *__i2); }
 
/**
* @brief Corresponding sequential algorithm on a sequence.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __pred Find predicate.
*/
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
std::pair<_RAIter1, _RAIter2>
_M_sequential_algorithm(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred)
{ return mismatch(__begin1, __end1, __begin2,
__pred, sequential_tag()); }
};
 
 
/** @brief Test predicate on several elements. */
template<typename _FIterator>
struct __find_first_of_selector : public __generic_find_selector
{
_FIterator _M_begin;
_FIterator _M_end;
 
explicit __find_first_of_selector(_FIterator __begin,
_FIterator __end)
: _M_begin(__begin), _M_end(__end) { }
 
/** @brief Test on one position.
* @param __i1 _Iterator on first sequence.
* @param __i2 _Iterator on second sequence (unused).
* @param __pred Find predicate. */
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
bool
operator()(_RAIter1 __i1, _RAIter2 __i2, _Pred __pred)
{
for (_FIterator __pos_in_candidates = _M_begin;
__pos_in_candidates != _M_end; ++__pos_in_candidates)
if (__pred(*__i1, *__pos_in_candidates))
return true;
return false;
}
 
/** @brief Corresponding sequential algorithm on a sequence.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __pred Find predicate. */
template<typename _RAIter1, typename _RAIter2,
typename _Pred>
std::pair<_RAIter1, _RAIter2>
_M_sequential_algorithm(_RAIter1 __begin1,
_RAIter1 __end1,
_RAIter2 __begin2, _Pred __pred)
{
return std::make_pair(find_first_of(__begin1, __end1,
_M_begin, _M_end, __pred,
sequential_tag()), __begin2);
}
};
}
 
#endif /* _GLIBCXX_PARALLEL_FIND_SELECTORS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/for_each.h
0,0 → 1,90
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/for_each.h
* @brief Main interface for embarrassingly parallel functions.
*
* The explicit implementation are in other header files, like
* workstealing.h, par_loop.h, omp_loop.h, and omp_loop_static.h.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_FOR_EACH_H
#define _GLIBCXX_PARALLEL_FOR_EACH_H 1
 
#include <parallel/settings.h>
#include <parallel/par_loop.h>
#include <parallel/omp_loop.h>
#include <parallel/workstealing.h>
 
namespace __gnu_parallel
{
/** @brief Chose the desired algorithm by evaluating @c __parallelism_tag.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __user_op A user-specified functor (comparator, predicate,
* associative operator,...)
* @param __functionality functor to @a process an element with
* __user_op (depends on desired functionality, e. g. accumulate,
* for_each,...
* @param __reduction Reduction functor.
* @param __reduction_start Initial value for reduction.
* @param __output Output iterator.
* @param __bound Maximum number of elements processed.
* @param __parallelism_tag Parallelization method */
template<typename _IIter, typename _UserOp,
typename _Functionality, typename _Red, typename _Result>
_UserOp
__for_each_template_random_access(_IIter __begin, _IIter __end,
_UserOp __user_op,
_Functionality& __functionality,
_Red __reduction,
_Result __reduction_start,
_Result& __output, typename
std::iterator_traits<_IIter>::
difference_type __bound,
_Parallelism __parallelism_tag)
{
if (__parallelism_tag == parallel_unbalanced)
return __for_each_template_random_access_ed
(__begin, __end, __user_op, __functionality, __reduction,
__reduction_start, __output, __bound);
else if (__parallelism_tag == parallel_omp_loop)
return __for_each_template_random_access_omp_loop
(__begin, __end, __user_op, __functionality, __reduction,
__reduction_start, __output, __bound);
else if (__parallelism_tag == parallel_omp_loop_static)
return __for_each_template_random_access_omp_loop
(__begin, __end, __user_op, __functionality, __reduction,
__reduction_start, __output, __bound);
else //e. g. parallel_balanced
return __for_each_template_random_access_workstealing
(__begin, __end, __user_op, __functionality, __reduction,
__reduction_start, __output, __bound);
}
}
 
#endif /* _GLIBCXX_PARALLEL_FOR_EACH_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/for_each_selectors.h
0,0 → 1,349
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/for_each_selectors.h
* @brief Functors representing different tasks to be plugged into the
* generic parallelization methods for embarrassingly parallel functions.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_FOR_EACH_SELECTORS_H
#define _GLIBCXX_PARALLEL_FOR_EACH_SELECTORS_H 1
 
#include <parallel/basic_iterator.h>
 
namespace __gnu_parallel
{
/** @brief Generic __selector for embarrassingly parallel functions. */
template<typename _It>
struct __generic_for_each_selector
{
/** @brief _Iterator on last element processed; needed for some
* algorithms (e. g. std::transform()).
*/
_It _M_finish_iterator;
};
 
/** @brief std::for_each() selector. */
template<typename _It>
struct __for_each_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object. */
template<typename _Op>
bool
operator()(_Op& __o, _It __i)
{
__o(*__i);
return true;
}
};
 
/** @brief std::generate() selector. */
template<typename _It>
struct __generate_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object. */
template<typename _Op>
bool
operator()(_Op& __o, _It __i)
{
*__i = __o();
return true;
}
};
 
/** @brief std::fill() selector. */
template<typename _It>
struct __fill_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __v Current value.
* @param __i iterator referencing object. */
template<typename _ValueType>
bool
operator()(_ValueType& __v, _It __i)
{
*__i = __v;
return true;
}
};
 
/** @brief std::transform() __selector, one input sequence variant. */
template<typename _It>
struct __transform1_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object. */
template<typename _Op>
bool
operator()(_Op& __o, _It __i)
{
*__i.second = __o(*__i.first);
return true;
}
};
 
/** @brief std::transform() __selector, two input sequences variant. */
template<typename _It>
struct __transform2_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object. */
template<typename _Op>
bool
operator()(_Op& __o, _It __i)
{
*__i._M_third = __o(*__i._M_first, *__i._M_second);
return true;
}
};
 
/** @brief std::replace() selector. */
template<typename _It, typename _Tp>
struct __replace_selector : public __generic_for_each_selector<_It>
{
/** @brief Value to replace with. */
const _Tp& __new_val;
 
/** @brief Constructor
* @param __new_val Value to replace with. */
explicit
__replace_selector(const _Tp &__new_val) : __new_val(__new_val) {}
 
/** @brief Functor execution.
* @param __v Current value.
* @param __i iterator referencing object. */
bool
operator()(_Tp& __v, _It __i)
{
if (*__i == __v)
*__i = __new_val;
return true;
}
};
 
/** @brief std::replace() selector. */
template<typename _It, typename _Op, typename _Tp>
struct __replace_if_selector : public __generic_for_each_selector<_It>
{
/** @brief Value to replace with. */
const _Tp& __new_val;
 
/** @brief Constructor.
* @param __new_val Value to replace with. */
explicit
__replace_if_selector(const _Tp &__new_val) : __new_val(__new_val) { }
 
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object. */
bool
operator()(_Op& __o, _It __i)
{
if (__o(*__i))
*__i = __new_val;
return true;
}
};
 
/** @brief std::count() selector. */
template<typename _It, typename _Diff>
struct __count_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __v Current value.
* @param __i iterator referencing object.
* @return 1 if count, 0 if does not count. */
template<typename _ValueType>
_Diff
operator()(_ValueType& __v, _It __i)
{ return (__v == *__i) ? 1 : 0; }
};
 
/** @brief std::count_if () selector. */
template<typename _It, typename _Diff>
struct __count_if_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator.
* @param __i iterator referencing object.
* @return 1 if count, 0 if does not count. */
template<typename _Op>
_Diff
operator()(_Op& __o, _It __i)
{ return (__o(*__i)) ? 1 : 0; }
};
 
/** @brief std::accumulate() selector. */
template<typename _It>
struct __accumulate_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator (unused).
* @param __i iterator referencing object.
* @return The current value. */
template<typename _Op>
typename std::iterator_traits<_It>::value_type
operator()(_Op __o, _It __i)
{ return *__i; }
};
 
/** @brief std::inner_product() selector. */
template<typename _It, typename _It2, typename _Tp>
struct __inner_product_selector : public __generic_for_each_selector<_It>
{
/** @brief Begin iterator of first sequence. */
_It __begin1_iterator;
 
/** @brief Begin iterator of second sequence. */
_It2 __begin2_iterator;
 
/** @brief Constructor.
* @param __b1 Begin iterator of first sequence.
* @param __b2 Begin iterator of second sequence. */
explicit
__inner_product_selector(_It __b1, _It2 __b2)
: __begin1_iterator(__b1), __begin2_iterator(__b2) { }
 
/** @brief Functor execution.
* @param __mult Multiplication functor.
* @param __current iterator referencing object.
* @return Inner product elemental __result. */
template<typename _Op>
_Tp
operator()(_Op __mult, _It __current)
{
typename std::iterator_traits<_It>::difference_type __position
= __current - __begin1_iterator;
return __mult(*__current, *(__begin2_iterator + __position));
}
};
 
/** @brief Selector that just returns the passed iterator. */
template<typename _It>
struct __identity_selector : public __generic_for_each_selector<_It>
{
/** @brief Functor execution.
* @param __o Operator (unused).
* @param __i iterator referencing object.
* @return Passed iterator. */
template<typename _Op>
_It
operator()(_Op __o, _It __i)
{ return __i; }
};
 
/** @brief Selector that returns the difference between two adjacent
* __elements.
*/
template<typename _It>
struct __adjacent_difference_selector
: public __generic_for_each_selector<_It>
{
template<typename _Op>
bool
operator()(_Op& __o, _It __i)
{
typename _It::first_type __go_back_one = __i.first;
--__go_back_one;
*__i.second = __o(*__i.first, *__go_back_one);
return true;
}
};
 
/** @brief Functor doing nothing
*
* For some __reduction tasks (this is not a function object, but is
* passed as __selector __dummy parameter.
*/
struct _Nothing
{
/** @brief Functor execution.
* @param __i iterator referencing object. */
template<typename _It>
void
operator()(_It __i) { }
};
 
/** @brief Reduction function doing nothing. */
struct _DummyReduct
{
bool
operator()(bool, bool) const
{ return true; }
};
 
/** @brief Reduction for finding the maximum element, using a comparator. */
template<typename _Compare, typename _It>
struct __min_element_reduct
{
_Compare& __comp;
 
explicit
__min_element_reduct(_Compare &__c) : __comp(__c) { }
 
_It
operator()(_It __x, _It __y)
{ return (__comp(*__x, *__y)) ? __x : __y; }
};
 
/** @brief Reduction for finding the maximum element, using a comparator. */
template<typename _Compare, typename _It>
struct __max_element_reduct
{
_Compare& __comp;
 
explicit
__max_element_reduct(_Compare& __c) : __comp(__c) { }
 
_It
operator()(_It __x, _It __y)
{ return (__comp(*__x, *__y)) ? __y : __x; }
};
 
/** @brief General reduction, using a binary operator. */
template<typename _BinOp>
struct __accumulate_binop_reduct
{
_BinOp& __binop;
 
explicit
__accumulate_binop_reduct(_BinOp& __b) : __binop(__b) { }
 
template<typename _Result, typename _Addend>
_Result
operator()(const _Result& __x, const _Addend& __y)
{ return __binop(__x, __y); }
};
}
 
#endif /* _GLIBCXX_PARALLEL_FOR_EACH_SELECTORS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/iterator.h
0,0 → 1,198
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/iterator.h
* @brief Helper iterator classes for the std::transform() functions.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_ITERATOR_H
#define _GLIBCXX_PARALLEL_ITERATOR_H 1
 
#include <parallel/basic_iterator.h>
#include <bits/stl_pair.h>
 
namespace __gnu_parallel
{
/** @brief A pair of iterators. The usual iterator operations are
* applied to both child iterators.
*/
template<typename _Iterator1, typename _Iterator2,
typename _IteratorCategory>
class _IteratorPair : public std::pair<_Iterator1, _Iterator2>
{
private:
typedef std::pair<_Iterator1, _Iterator2> _Base;
 
public:
typedef _IteratorCategory iterator_category;
typedef void value_type;
 
typedef std::iterator_traits<_Iterator1> _TraitsType;
typedef typename _TraitsType::difference_type difference_type;
typedef _IteratorPair* pointer;
typedef _IteratorPair& reference;
 
_IteratorPair() { }
 
_IteratorPair(const _Iterator1& __first, const _Iterator2& __second)
: _Base(__first, __second) { }
 
// Pre-increment operator.
_IteratorPair&
operator++()
{
++_Base::first;
++_Base::second;
return *this;
}
 
// Post-increment operator.
const _IteratorPair
operator++(int)
{ return _IteratorPair(_Base::first++, _Base::second++); }
 
// Pre-decrement operator.
_IteratorPair&
operator--()
{
--_Base::first;
--_Base::second;
return *this;
}
 
// Post-decrement operator.
const _IteratorPair
operator--(int)
{ return _IteratorPair(_Base::first--, _Base::second--); }
 
// Type conversion.
operator _Iterator2() const
{ return _Base::second; }
 
_IteratorPair&
operator=(const _IteratorPair& __other)
{
_Base::first = __other.first;
_Base::second = __other.second;
return *this;
}
 
_IteratorPair
operator+(difference_type __delta) const
{ return _IteratorPair(_Base::first + __delta, _Base::second + __delta);
}
 
difference_type
operator-(const _IteratorPair& __other) const
{ return _Base::first - __other.first; }
};
 
 
/** @brief A triple of iterators. The usual iterator operations are
applied to all three child iterators.
*/
template<typename _Iterator1, typename _Iterator2, typename _Iterator3,
typename _IteratorCategory>
class _IteratorTriple
{
public:
typedef _IteratorCategory iterator_category;
typedef void value_type;
typedef typename std::iterator_traits<_Iterator1>::difference_type
difference_type;
typedef _IteratorTriple* pointer;
typedef _IteratorTriple& reference;
 
_Iterator1 _M_first;
_Iterator2 _M_second;
_Iterator3 _M_third;
 
_IteratorTriple() { }
 
_IteratorTriple(const _Iterator1& __first, const _Iterator2& __second,
const _Iterator3& __third)
{
_M_first = __first;
_M_second = __second;
_M_third = __third;
}
 
// Pre-increment operator.
_IteratorTriple&
operator++()
{
++_M_first;
++_M_second;
++_M_third;
return *this;
}
 
// Post-increment operator.
const _IteratorTriple
operator++(int)
{ return _IteratorTriple(_M_first++, _M_second++, _M_third++); }
 
// Pre-decrement operator.
_IteratorTriple&
operator--()
{
--_M_first;
--_M_second;
--_M_third;
return *this;
}
 
// Post-decrement operator.
const _IteratorTriple
operator--(int)
{ return _IteratorTriple(_M_first--, _M_second--, _M_third--); }
 
// Type conversion.
operator _Iterator3() const
{ return _M_third; }
 
_IteratorTriple&
operator=(const _IteratorTriple& __other)
{
_M_first = __other._M_first;
_M_second = __other._M_second;
_M_third = __other._M_third;
return *this;
}
 
_IteratorTriple
operator+(difference_type __delta) const
{ return _IteratorTriple(_M_first + __delta, _M_second + __delta,
_M_third + __delta); }
 
difference_type
operator-(const _IteratorTriple& __other) const
{ return _M_first - __other._M_first; }
};
}
 
#endif /* _GLIBCXX_PARALLEL_ITERATOR_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/list_partition.h
0,0 → 1,179
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute __it and/or modify __it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that __it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/list_partition.h
* @brief _Functionality to split __sequence referenced by only input
* iterators.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Leonor Frias Moya and Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_LIST_PARTITION_H
#define _GLIBCXX_PARALLEL_LIST_PARTITION_H 1
 
#include <parallel/parallel.h>
#include <vector>
 
namespace __gnu_parallel
{
/** @brief Shrinks and doubles the ranges.
* @param __os_starts Start positions worked on (oversampled).
* @param __count_to_two Counts up to 2.
* @param __range_length Current length of a chunk.
* @param __make_twice Whether the @c __os_starts is allowed to be
* grown or not
*/
template<typename _IIter>
void
__shrink_and_double(std::vector<_IIter>& __os_starts,
size_t& __count_to_two, size_t& __range_length,
const bool __make_twice)
{
++__count_to_two;
if (!__make_twice || __count_to_two < 2)
__shrink(__os_starts, __count_to_two, __range_length);
else
{
__os_starts.resize((__os_starts.size() - 1) * 2 + 1);
__count_to_two = 0;
}
}
 
/** @brief Combines two ranges into one and thus halves the number of ranges.
* @param __os_starts Start positions worked on (oversampled).
* @param __count_to_two Counts up to 2.
* @param __range_length Current length of a chunk. */
template<typename _IIter>
void
__shrink(std::vector<_IIter>& __os_starts, size_t& __count_to_two,
size_t& __range_length)
{
for (typename std::vector<_IIter>::size_type __i = 0;
__i <= (__os_starts.size() / 2); ++__i)
__os_starts[__i] = __os_starts[__i * 2];
__range_length *= 2;
}
 
/** @brief Splits a sequence given by input iterators into parts of
* almost equal size
*
* The function needs only one pass over the sequence.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __starts Start iterators for the resulting parts, dimension
* @c __num_parts+1. For convenience, @c __starts @c [__num_parts]
* contains the end iterator of the sequence.
* @param __lengths Length of the resulting parts.
* @param __num_parts Number of parts to split the sequence into.
* @param __f Functor to be applied to each element by traversing __it
* @param __oversampling Oversampling factor. If 0, then the
* partitions will differ in at most
* \f$\sqrt{\mathrm{end} - \mathrm{begin}}\f$
* elements. Otherwise, the ratio between the
* longest and the shortest part is bounded by
* \f$1/(\mathrm{oversampling} \cdot \mathrm{num\_parts})\f$
* @return Length of the whole sequence.
*/
template<typename _IIter, typename _FunctorType>
size_t
list_partition(const _IIter __begin, const _IIter __end,
_IIter* __starts, size_t* __lengths, const int __num_parts,
_FunctorType& __f, int __oversampling = 0)
{
bool __make_twice = false;
 
// The resizing algorithm is chosen according to the oversampling factor.
if (__oversampling == 0)
{
__make_twice = true;
__oversampling = 1;
}
 
std::vector<_IIter> __os_starts(2 * __oversampling * __num_parts + 1);
 
__os_starts[0] = __begin;
_IIter __prev = __begin, __it = __begin;
size_t __dist_limit = 0, __dist = 0;
size_t __cur = 1, __next = 1;
size_t __range_length = 1;
size_t __count_to_two = 0;
while (__it != __end)
{
__cur = __next;
for (; __cur < __os_starts.size() and __it != __end; ++__cur)
{
for (__dist_limit += __range_length;
__dist < __dist_limit and __it != __end; ++__dist)
{
__f(__it);
++__it;
}
__os_starts[__cur] = __it;
}
 
// Must compare for end and not __cur < __os_starts.size() , because
// __cur could be == __os_starts.size() as well
if (__it == __end)
break;
 
__shrink_and_double(__os_starts, __count_to_two, __range_length,
__make_twice);
__next = __os_starts.size() / 2 + 1;
}
 
// Calculation of the parts (one must be extracted from __current
// because the partition beginning at end, consists only of
// itself).
size_t __size_part = (__cur - 1) / __num_parts;
int __size_greater = static_cast<int>((__cur - 1) % __num_parts);
__starts[0] = __os_starts[0];
 
size_t __index = 0;
 
// Smallest partitions.
for (int __i = 1; __i < (__num_parts + 1 - __size_greater); ++__i)
{
__lengths[__i - 1] = __size_part * __range_length;
__index += __size_part;
__starts[__i] = __os_starts[__index];
}
 
// Biggest partitions.
for (int __i = __num_parts + 1 - __size_greater; __i <= __num_parts;
++__i)
{
__lengths[__i - 1] = (__size_part+1) * __range_length;
__index += (__size_part+1);
__starts[__i] = __os_starts[__index];
}
 
// Correction of the end size (the end iteration has not finished).
__lengths[__num_parts - 1] -= (__dist_limit - __dist);
 
return __dist;
}
}
 
#endif /* _GLIBCXX_PARALLEL_LIST_PARTITION_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/losertree.h
0,0 → 1,1063
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/losertree.h
* @brief Many generic loser tree variants.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_LOSERTREE_H
#define _GLIBCXX_PARALLEL_LOSERTREE_H 1
 
#include <bits/stl_algobase.h>
#include <bits/stl_function.h>
#include <parallel/features.h>
#include <parallel/base.h>
 
namespace __gnu_parallel
{
/**
* @brief Guarded loser/tournament tree.
*
* The smallest element is at the top.
*
* Guarding is done explicitly through one flag _M_sup per element,
* inf is not needed due to a better initialization routine. This
* is a well-performing variant.
*
* @param _Tp the element type
* @param _Compare the comparator to use, defaults to std::less<_Tp>
*/
template<typename _Tp, typename _Compare>
class _LoserTreeBase
{
protected:
/** @brief Internal representation of a _LoserTree element. */
struct _Loser
{
/** @brief flag, true iff this is a "maximum" __sentinel. */
bool _M_sup;
/** @brief __index of the __source __sequence. */
int _M_source;
/** @brief _M_key of the element in the _LoserTree. */
_Tp _M_key;
};
 
unsigned int _M_ik, _M_k, _M_offset;
 
/** log_2{_M_k} */
unsigned int _M_log_k;
 
/** @brief _LoserTree __elements. */
_Loser* _M_losers;
 
/** @brief _Compare to use. */
_Compare _M_comp;
 
/**
* @brief State flag that determines whether the _LoserTree is empty.
*
* Only used for building the _LoserTree.
*/
bool _M_first_insert;
 
public:
/**
* @brief The constructor.
*
* @param __k The number of sequences to merge.
* @param __comp The comparator to use.
*/
_LoserTreeBase(unsigned int __k, _Compare __comp)
: _M_comp(__comp)
{
_M_ik = __k;
 
// Compute log_2{_M_k} for the _Loser Tree
_M_log_k = __rd_log2(_M_ik - 1) + 1;
 
// Next greater power of 2.
_M_k = 1 << _M_log_k;
_M_offset = _M_k;
 
// Avoid default-constructing _M_losers[]._M_key
_M_losers = static_cast<_Loser*>(::operator new(2 * _M_k
* sizeof(_Loser)));
for (unsigned int __i = _M_ik - 1; __i < _M_k; ++__i)
_M_losers[__i + _M_k]._M_sup = true;
 
_M_first_insert = true;
}
 
/**
* @brief The destructor.
*/
~_LoserTreeBase()
{
for (unsigned int __i = 0; __i < (2 * _M_k); ++__i)
_M_losers[__i].~_Loser();
::operator delete(_M_losers);
}
 
/**
* @brief Initializes the sequence "_M_source" with the element "__key".
*
* @param __key the element to insert
* @param __source __index of the __source __sequence
* @param __sup flag that determines whether the value to insert is an
* explicit __supremum.
*/
void
__insert_start(const _Tp& __key, int __source, bool __sup)
{
unsigned int __pos = _M_k + __source;
 
if (_M_first_insert)
{
// Construct all keys, so we can easily destruct them.
for (unsigned int __i = 0; __i < (2 * _M_k); ++__i)
::new(&(_M_losers[__i]._M_key)) _Tp(__key);
_M_first_insert = false;
}
else
_M_losers[__pos]._M_key = __key;
 
_M_losers[__pos]._M_sup = __sup;
_M_losers[__pos]._M_source = __source;
}
 
/**
* @return the index of the sequence with the smallest element.
*/
int __get_min_source()
{ return _M_losers[0]._M_source; }
};
 
/**
* @brief Stable _LoserTree variant.
*
* Provides the stable implementations of insert_start, __init_winner,
* __init and __delete_min_insert.
*
* Unstable variant is done using partial specialisation below.
*/
template<bool __stable/* default == true */, typename _Tp,
typename _Compare>
class _LoserTree
: public _LoserTreeBase<_Tp, _Compare>
{
typedef _LoserTreeBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
using _Base::_M_first_insert;
 
public:
_LoserTree(unsigned int __k, _Compare __comp)
: _Base::_LoserTreeBase(__k, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (_M_losers[__right]._M_sup
|| (!_M_losers[__left]._M_sup
&& !_M_comp(_M_losers[__right]._M_key,
_M_losers[__left]._M_key)))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void __init()
{ _M_losers[0] = _M_losers[__init_winner(1)]; }
 
/**
* @brief Delete the smallest element and insert a new element from
* the previously smallest element's sequence.
*
* This implementation is stable.
*/
// Do not pass a const reference since __key will be used as
// local variable.
void
__delete_min_insert(_Tp __key, bool __sup)
{
using std::swap;
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted, ties are broken by _M_source.
if ((__sup && (!_M_losers[__pos]._M_sup
|| _M_losers[__pos]._M_source < __source))
|| (!__sup && !_M_losers[__pos]._M_sup
&& ((_M_comp(_M_losers[__pos]._M_key, __key))
|| (!_M_comp(__key, _M_losers[__pos]._M_key)
&& _M_losers[__pos]._M_source < __source))))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_sup, __sup);
std::swap(_M_losers[__pos]._M_source, __source);
swap(_M_losers[__pos]._M_key, __key);
}
}
 
_M_losers[0]._M_sup = __sup;
_M_losers[0]._M_source = __source;
_M_losers[0]._M_key = __key;
}
};
 
/**
* @brief Unstable _LoserTree variant.
*
* Stability (non-stable here) is selected with partial specialization.
*/
template<typename _Tp, typename _Compare>
class _LoserTree</* __stable == */false, _Tp, _Compare>
: public _LoserTreeBase<_Tp, _Compare>
{
typedef _LoserTreeBase<_Tp, _Compare> _Base;
using _Base::_M_log_k;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
using _Base::_M_first_insert;
 
public:
_LoserTree(unsigned int __k, _Compare __comp)
: _Base::_LoserTreeBase(__k, __comp)
{ }
 
/**
* Computes the winner of the competition at position "__root".
*
* Called recursively (starting at 0) to build the initial tree.
*
* @param __root __index of the "game" to start.
*/
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (_M_losers[__right]._M_sup
|| (!_M_losers[__left]._M_sup
&& !_M_comp(_M_losers[__right]._M_key,
_M_losers[__left]._M_key)))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void
__init()
{ _M_losers[0] = _M_losers[__init_winner(1)]; }
 
/**
* Delete the _M_key smallest element and insert the element __key
* instead.
*
* @param __key the _M_key to insert
* @param __sup true iff __key is an explicitly marked supremum
*/
// Do not pass a const reference since __key will be used as local
// variable.
void
__delete_min_insert(_Tp __key, bool __sup)
{
using std::swap;
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted.
if (__sup || (!_M_losers[__pos]._M_sup
&& _M_comp(_M_losers[__pos]._M_key, __key)))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_sup, __sup);
std::swap(_M_losers[__pos]._M_source, __source);
swap(_M_losers[__pos]._M_key, __key);
}
}
 
_M_losers[0]._M_sup = __sup;
_M_losers[0]._M_source = __source;
_M_losers[0]._M_key = __key;
}
};
 
/**
* @brief Base class of _Loser Tree implementation using pointers.
*/
template<typename _Tp, typename _Compare>
class _LoserTreePointerBase
{
protected:
/** @brief Internal representation of _LoserTree __elements. */
struct _Loser
{
bool _M_sup;
int _M_source;
const _Tp* _M_keyp;
};
 
unsigned int _M_ik, _M_k, _M_offset;
_Loser* _M_losers;
_Compare _M_comp;
 
public:
_LoserTreePointerBase(unsigned int __k,
_Compare __comp = std::less<_Tp>())
: _M_comp(__comp)
{
_M_ik = __k;
 
// Next greater power of 2.
_M_k = 1 << (__rd_log2(_M_ik - 1) + 1);
_M_offset = _M_k;
_M_losers = new _Loser[_M_k * 2];
for (unsigned int __i = _M_ik - 1; __i < _M_k; __i++)
_M_losers[__i + _M_k]._M_sup = true;
}
 
~_LoserTreePointerBase()
{ delete[] _M_losers; }
 
int __get_min_source()
{ return _M_losers[0]._M_source; }
 
void __insert_start(const _Tp& __key, int __source, bool __sup)
{
unsigned int __pos = _M_k + __source;
 
_M_losers[__pos]._M_sup = __sup;
_M_losers[__pos]._M_source = __source;
_M_losers[__pos]._M_keyp = &__key;
}
};
 
/**
* @brief Stable _LoserTree implementation.
*
* The unstable variant is implemented using partial instantiation below.
*/
template<bool __stable/* default == true */, typename _Tp, typename _Compare>
class _LoserTreePointer
: public _LoserTreePointerBase<_Tp, _Compare>
{
typedef _LoserTreePointerBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreePointer(unsigned int __k, _Compare __comp = std::less<_Tp>())
: _Base::_LoserTreePointerBase(__k, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (_M_losers[__right]._M_sup
|| (!_M_losers[__left]._M_sup
&& !_M_comp(*_M_losers[__right]._M_keyp,
*_M_losers[__left]._M_keyp)))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void __init()
{ _M_losers[0] = _M_losers[__init_winner(1)]; }
 
void __delete_min_insert(const _Tp& __key, bool __sup)
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
const _Tp* __keyp = &__key;
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted, ties are broken by __source.
if ((__sup && (!_M_losers[__pos]._M_sup
|| _M_losers[__pos]._M_source < __source))
|| (!__sup && !_M_losers[__pos]._M_sup &&
((_M_comp(*_M_losers[__pos]._M_keyp, *__keyp))
|| (!_M_comp(*__keyp, *_M_losers[__pos]._M_keyp)
&& _M_losers[__pos]._M_source < __source))))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_sup, __sup);
std::swap(_M_losers[__pos]._M_source, __source);
std::swap(_M_losers[__pos]._M_keyp, __keyp);
}
}
 
_M_losers[0]._M_sup = __sup;
_M_losers[0]._M_source = __source;
_M_losers[0]._M_keyp = __keyp;
}
};
 
/**
* @brief Unstable _LoserTree implementation.
*
* The stable variant is above.
*/
template<typename _Tp, typename _Compare>
class _LoserTreePointer</* __stable == */false, _Tp, _Compare>
: public _LoserTreePointerBase<_Tp, _Compare>
{
typedef _LoserTreePointerBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreePointer(unsigned int __k, _Compare __comp = std::less<_Tp>())
: _Base::_LoserTreePointerBase(__k, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (_M_losers[__right]._M_sup
|| (!_M_losers[__left]._M_sup
&& !_M_comp(*_M_losers[__right]._M_keyp,
*_M_losers[__left]._M_keyp)))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void __init()
{ _M_losers[0] = _M_losers[__init_winner(1)]; }
 
void __delete_min_insert(const _Tp& __key, bool __sup)
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
const _Tp* __keyp = &__key;
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted.
if (__sup || (!_M_losers[__pos]._M_sup
&& _M_comp(*_M_losers[__pos]._M_keyp, *__keyp)))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_sup, __sup);
std::swap(_M_losers[__pos]._M_source, __source);
std::swap(_M_losers[__pos]._M_keyp, __keyp);
}
}
 
_M_losers[0]._M_sup = __sup;
_M_losers[0]._M_source = __source;
_M_losers[0]._M_keyp = __keyp;
}
};
 
/** @brief Base class for unguarded _LoserTree implementation.
*
* The whole element is copied into the tree structure.
*
* No guarding is done, therefore not a single input sequence must
* run empty. Unused __sequence heads are marked with a sentinel which
* is &gt; all elements that are to be merged.
*
* This is a very fast variant.
*/
template<typename _Tp, typename _Compare>
class _LoserTreeUnguardedBase
{
protected:
struct _Loser
{
int _M_source;
_Tp _M_key;
};
 
unsigned int _M_ik, _M_k, _M_offset;
_Loser* _M_losers;
_Compare _M_comp;
 
public:
_LoserTreeUnguardedBase(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _M_comp(__comp)
{
_M_ik = __k;
 
// Next greater power of 2.
_M_k = 1 << (__rd_log2(_M_ik - 1) + 1);
_M_offset = _M_k;
// Avoid default-constructing _M_losers[]._M_key
_M_losers = static_cast<_Loser*>(::operator new(2 * _M_k
* sizeof(_Loser)));
 
for (unsigned int __i = 0; __i < _M_k; ++__i)
{
::new(&(_M_losers[__i]._M_key)) _Tp(__sentinel);
_M_losers[__i]._M_source = -1;
}
for (unsigned int __i = _M_k + _M_ik - 1; __i < (2 * _M_k); ++__i)
{
::new(&(_M_losers[__i]._M_key)) _Tp(__sentinel);
_M_losers[__i]._M_source = -1;
}
}
 
~_LoserTreeUnguardedBase()
{
for (unsigned int __i = 0; __i < (2 * _M_k); ++__i)
_M_losers[__i].~_Loser();
::operator delete(_M_losers);
}
 
int
__get_min_source()
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
return _M_losers[0]._M_source;
}
 
void
__insert_start(const _Tp& __key, int __source, bool)
{
unsigned int __pos = _M_k + __source;
 
::new(&(_M_losers[__pos]._M_key)) _Tp(__key);
_M_losers[__pos]._M_source = __source;
}
};
 
/**
* @brief Stable implementation of unguarded _LoserTree.
*
* Unstable variant is selected below with partial specialization.
*/
template<bool __stable/* default == true */, typename _Tp, typename _Compare>
class _LoserTreeUnguarded
: public _LoserTreeUnguardedBase<_Tp, _Compare>
{
typedef _LoserTreeUnguardedBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreeUnguarded(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _Base::_LoserTreeUnguardedBase(__k, __sentinel, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (!_M_comp(_M_losers[__right]._M_key,
_M_losers[__left]._M_key))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void
__init()
{
_M_losers[0] = _M_losers[__init_winner(1)];
 
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top at the beginning
// (0 sequences!)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
}
 
// Do not pass a const reference since __key will be used as
// local variable.
void
__delete_min_insert(_Tp __key, bool)
{
using std::swap;
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted, ties are broken by _M_source.
if (_M_comp(_M_losers[__pos]._M_key, __key)
|| (!_M_comp(__key, _M_losers[__pos]._M_key)
&& _M_losers[__pos]._M_source < __source))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_source, __source);
swap(_M_losers[__pos]._M_key, __key);
}
}
 
_M_losers[0]._M_source = __source;
_M_losers[0]._M_key = __key;
}
};
 
/**
* @brief Non-Stable implementation of unguarded _LoserTree.
*
* Stable implementation is above.
*/
template<typename _Tp, typename _Compare>
class _LoserTreeUnguarded</* __stable == */false, _Tp, _Compare>
: public _LoserTreeUnguardedBase<_Tp, _Compare>
{
typedef _LoserTreeUnguardedBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreeUnguarded(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _Base::_LoserTreeUnguardedBase(__k, __sentinel, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
 
#if _GLIBCXX_ASSERTIONS
// If __left one is sentinel then __right one must be, too.
if (_M_losers[__left]._M_source == -1)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[__right]._M_source == -1);
#endif
 
if (!_M_comp(_M_losers[__right]._M_key,
_M_losers[__left]._M_key))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void
__init()
{
_M_losers[0] = _M_losers[__init_winner(1)];
 
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top at the beginning
// (0 sequences!)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
}
 
// Do not pass a const reference since __key will be used as
// local variable.
void
__delete_min_insert(_Tp __key, bool)
{
using std::swap;
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted.
if (_M_comp(_M_losers[__pos]._M_key, __key))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_source, __source);
swap(_M_losers[__pos]._M_key, __key);
}
}
 
_M_losers[0]._M_source = __source;
_M_losers[0]._M_key = __key;
}
};
 
/** @brief Unguarded loser tree, keeping only pointers to the
* elements in the tree structure.
*
* No guarding is done, therefore not a single input sequence must
* run empty. This is a very fast variant.
*/
template<typename _Tp, typename _Compare>
class _LoserTreePointerUnguardedBase
{
protected:
struct _Loser
{
int _M_source;
const _Tp* _M_keyp;
};
 
unsigned int _M_ik, _M_k, _M_offset;
_Loser* _M_losers;
_Compare _M_comp;
 
public:
 
_LoserTreePointerUnguardedBase(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _M_comp(__comp)
{
_M_ik = __k;
 
// Next greater power of 2.
_M_k = 1 << (__rd_log2(_M_ik - 1) + 1);
_M_offset = _M_k;
// Avoid default-constructing _M_losers[]._M_key
_M_losers = new _Loser[2 * _M_k];
 
for (unsigned int __i = _M_k + _M_ik - 1; __i < (2 * _M_k); ++__i)
{
_M_losers[__i]._M_keyp = &__sentinel;
_M_losers[__i]._M_source = -1;
}
}
 
~_LoserTreePointerUnguardedBase()
{ delete[] _M_losers; }
 
int
__get_min_source()
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
return _M_losers[0]._M_source;
}
 
void
__insert_start(const _Tp& __key, int __source, bool)
{
unsigned int __pos = _M_k + __source;
 
_M_losers[__pos]._M_keyp = &__key;
_M_losers[__pos]._M_source = __source;
}
};
 
/**
* @brief Stable unguarded _LoserTree variant storing pointers.
*
* Unstable variant is implemented below using partial specialization.
*/
template<bool __stable/* default == true */, typename _Tp, typename _Compare>
class _LoserTreePointerUnguarded
: public _LoserTreePointerUnguardedBase<_Tp, _Compare>
{
typedef _LoserTreePointerUnguardedBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreePointerUnguarded(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _Base::_LoserTreePointerUnguardedBase(__k, __sentinel, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
if (!_M_comp(*_M_losers[__right]._M_keyp,
*_M_losers[__left]._M_keyp))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void
__init()
{
_M_losers[0] = _M_losers[__init_winner(1)];
 
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top at the beginning
// (0 sequences!)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
}
 
void
__delete_min_insert(const _Tp& __key, bool __sup)
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
const _Tp* __keyp = &__key;
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted, ties are broken by _M_source.
if (_M_comp(*_M_losers[__pos]._M_keyp, *__keyp)
|| (!_M_comp(*__keyp, *_M_losers[__pos]._M_keyp)
&& _M_losers[__pos]._M_source < __source))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_source, __source);
std::swap(_M_losers[__pos]._M_keyp, __keyp);
}
}
 
_M_losers[0]._M_source = __source;
_M_losers[0]._M_keyp = __keyp;
}
};
 
/**
* @brief Unstable unguarded _LoserTree variant storing pointers.
*
* Stable variant is above.
*/
template<typename _Tp, typename _Compare>
class _LoserTreePointerUnguarded</* __stable == */false, _Tp, _Compare>
: public _LoserTreePointerUnguardedBase<_Tp, _Compare>
{
typedef _LoserTreePointerUnguardedBase<_Tp, _Compare> _Base;
using _Base::_M_k;
using _Base::_M_comp;
using _Base::_M_losers;
 
public:
_LoserTreePointerUnguarded(unsigned int __k, const _Tp& __sentinel,
_Compare __comp = std::less<_Tp>())
: _Base::_LoserTreePointerUnguardedBase(__k, __sentinel, __comp)
{ }
 
unsigned int
__init_winner(unsigned int __root)
{
if (__root >= _M_k)
return __root;
else
{
unsigned int __left = __init_winner(2 * __root);
unsigned int __right = __init_winner(2 * __root + 1);
 
#if _GLIBCXX_ASSERTIONS
// If __left one is sentinel then __right one must be, too.
if (_M_losers[__left]._M_source == -1)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[__right]._M_source == -1);
#endif
 
if (!_M_comp(*_M_losers[__right]._M_keyp,
*_M_losers[__left]._M_keyp))
{
// Left one is less or equal.
_M_losers[__root] = _M_losers[__right];
return __left;
}
else
{
// Right one is less.
_M_losers[__root] = _M_losers[__left];
return __right;
}
}
}
 
void
__init()
{
_M_losers[0] = _M_losers[__init_winner(1)];
 
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top at the beginning
// (0 sequences!)
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
}
 
void
__delete_min_insert(const _Tp& __key, bool __sup)
{
#if _GLIBCXX_ASSERTIONS
// no dummy sequence can ever be at the top!
_GLIBCXX_PARALLEL_ASSERT(_M_losers[0]._M_source != -1);
#endif
 
const _Tp* __keyp = &__key;
int __source = _M_losers[0]._M_source;
for (unsigned int __pos = (_M_k + __source) / 2; __pos > 0;
__pos /= 2)
{
// The smaller one gets promoted.
if (_M_comp(*(_M_losers[__pos]._M_keyp), *__keyp))
{
// The other one is smaller.
std::swap(_M_losers[__pos]._M_source, __source);
std::swap(_M_losers[__pos]._M_keyp, __keyp);
}
}
 
_M_losers[0]._M_source = __source;
_M_losers[0]._M_keyp = __keyp;
}
};
} // namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_LOSERTREE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/merge.h
0,0 → 1,251
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/merge.h
* @brief Parallel implementation of std::merge().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_MERGE_H
#define _GLIBCXX_PARALLEL_MERGE_H 1
 
#include <parallel/basic_iterator.h>
#include <bits/stl_algo.h>
 
namespace __gnu_parallel
{
/** @brief Merge routine being able to merge only the @c __max_length
* smallest elements.
*
* The @c __begin iterators are advanced accordingly, they might not
* reach @c __end, in contrast to the usual variant.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __target Target begin iterator.
* @param __max_length Maximum number of elements to merge.
* @param __comp Comparator.
* @return Output end iterator. */
template<typename _RAIter1, typename _RAIter2,
typename _OutputIterator, typename _DifferenceTp,
typename _Compare>
_OutputIterator
__merge_advance_usual(_RAIter1& __begin1, _RAIter1 __end1,
_RAIter2& __begin2, _RAIter2 __end2,
_OutputIterator __target,
_DifferenceTp __max_length, _Compare __comp)
{
typedef _DifferenceTp _DifferenceType;
while (__begin1 != __end1 && __begin2 != __end2 && __max_length > 0)
{
// array1[__i1] < array0[i0]
if (__comp(*__begin2, *__begin1))
*__target++ = *__begin2++;
else
*__target++ = *__begin1++;
--__max_length;
}
 
if (__begin1 != __end1)
{
__target = std::copy(__begin1, __begin1 + __max_length, __target);
__begin1 += __max_length;
}
else
{
__target = std::copy(__begin2, __begin2 + __max_length, __target);
__begin2 += __max_length;
}
return __target;
}
 
/** @brief Merge routine being able to merge only the @c __max_length
* smallest elements.
*
* The @c __begin iterators are advanced accordingly, they might not
* reach @c __end, in contrast to the usual variant.
* Specially designed code should allow the compiler to generate
* conditional moves instead of branches.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __target Target begin iterator.
* @param __max_length Maximum number of elements to merge.
* @param __comp Comparator.
* @return Output end iterator. */
template<typename _RAIter1, typename _RAIter2,
typename _OutputIterator, typename _DifferenceTp,
typename _Compare>
_OutputIterator
__merge_advance_movc(_RAIter1& __begin1, _RAIter1 __end1,
_RAIter2& __begin2, _RAIter2 __end2,
_OutputIterator __target,
_DifferenceTp __max_length, _Compare __comp)
{
typedef _DifferenceTp _DifferenceType;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType1;
typedef typename std::iterator_traits<_RAIter2>::value_type
_ValueType2;
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__max_length >= 0);
#endif
 
while (__begin1 != __end1 && __begin2 != __end2 && __max_length > 0)
{
_RAIter1 __next1 = __begin1 + 1;
_RAIter2 __next2 = __begin2 + 1;
_ValueType1 __element1 = *__begin1;
_ValueType2 __element2 = *__begin2;
 
if (__comp(__element2, __element1))
{
__element1 = __element2;
__begin2 = __next2;
}
else
__begin1 = __next1;
 
*__target = __element1;
 
++__target;
--__max_length;
}
if (__begin1 != __end1)
{
__target = std::copy(__begin1, __begin1 + __max_length, __target);
__begin1 += __max_length;
}
else
{
__target = std::copy(__begin2, __begin2 + __max_length, __target);
__begin2 += __max_length;
}
return __target;
}
 
/** @brief Merge routine being able to merge only the @c __max_length
* smallest elements.
*
* The @c __begin iterators are advanced accordingly, they might not
* reach @c __end, in contrast to the usual variant.
* Static switch on whether to use the conditional-move variant.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __target Target begin iterator.
* @param __max_length Maximum number of elements to merge.
* @param __comp Comparator.
* @return Output end iterator. */
template<typename _RAIter1, typename _RAIter2,
typename _OutputIterator, typename _DifferenceTp,
typename _Compare>
inline _OutputIterator
__merge_advance(_RAIter1& __begin1, _RAIter1 __end1,
_RAIter2& __begin2, _RAIter2 __end2,
_OutputIterator __target, _DifferenceTp __max_length,
_Compare __comp)
{
_GLIBCXX_CALL(__max_length)
 
return __merge_advance_movc(__begin1, __end1, __begin2, __end2,
__target, __max_length, __comp);
}
 
/** @brief Merge routine fallback to sequential in case the
iterators of the two input sequences are of different type.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __target Target begin iterator.
* @param __max_length Maximum number of elements to merge.
* @param __comp Comparator.
* @return Output end iterator. */
template<typename _RAIter1, typename _RAIter2,
typename _RAIter3, typename _Compare>
inline _RAIter3
__parallel_merge_advance(_RAIter1& __begin1, _RAIter1 __end1,
_RAIter2& __begin2,
// different iterators, parallel implementation
// not available
_RAIter2 __end2, _RAIter3 __target, typename
std::iterator_traits<_RAIter1>::
difference_type __max_length, _Compare __comp)
{ return __merge_advance(__begin1, __end1, __begin2, __end2, __target,
__max_length, __comp); }
 
/** @brief Parallel merge routine being able to merge only the @c
* __max_length smallest elements.
*
* The @c __begin iterators are advanced accordingly, they might not
* reach @c __end, in contrast to the usual variant.
* The functionality is projected onto parallel_multiway_merge.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __target Target begin iterator.
* @param __max_length Maximum number of elements to merge.
* @param __comp Comparator.
* @return Output end iterator.
*/
template<typename _RAIter1, typename _RAIter3,
typename _Compare>
inline _RAIter3
__parallel_merge_advance(_RAIter1& __begin1, _RAIter1 __end1,
_RAIter1& __begin2, _RAIter1 __end2,
_RAIter3 __target, typename
std::iterator_traits<_RAIter1>::
difference_type __max_length, _Compare __comp)
{
typedef typename
std::iterator_traits<_RAIter1>::value_type _ValueType;
typedef typename std::iterator_traits<_RAIter1>::
difference_type _DifferenceType1 /* == difference_type2 */;
typedef typename std::iterator_traits<_RAIter3>::
difference_type _DifferenceType3;
typedef typename std::pair<_RAIter1, _RAIter1>
_IteratorPair;
 
_IteratorPair __seqs[2] = { std::make_pair(__begin1, __end1),
std::make_pair(__begin2, __end2) };
_RAIter3 __target_end = parallel_multiway_merge
< /* __stable = */ true, /* __sentinels = */ false>
(__seqs, __seqs + 2, __target, multiway_merge_exact_splitting
< /* __stable = */ true, _IteratorPair*,
_Compare, _DifferenceType1>, __max_length, __comp,
omp_get_max_threads());
 
return __target_end;
}
} //namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_MERGE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/multiseq_selection.h
0,0 → 1,644
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/multiseq_selection.h
* @brief Functions to find elements of a certain global __rank in
* multiple sorted sequences. Also serves for splitting such
* sequence sets.
*
* The algorithm description can be found in
*
* P. J. Varman, S. D. Scheufler, B. R. Iyer, and G. R. Ricard.
* Merging Multiple Lists on Hierarchical-Memory Multiprocessors.
* Journal of Parallel and Distributed Computing, 12(2):171–177, 1991.
*
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_MULTISEQ_SELECTION_H
#define _GLIBCXX_PARALLEL_MULTISEQ_SELECTION_H 1
 
#include <vector>
#include <queue>
 
#include <bits/stl_algo.h>
 
namespace __gnu_parallel
{
/** @brief Compare __a pair of types lexicographically, ascending. */
template<typename _T1, typename _T2, typename _Compare>
class _Lexicographic
: public std::binary_function<std::pair<_T1, _T2>,
std::pair<_T1, _T2>, bool>
{
private:
_Compare& _M_comp;
 
public:
_Lexicographic(_Compare& __comp) : _M_comp(__comp) { }
 
bool
operator()(const std::pair<_T1, _T2>& __p1,
const std::pair<_T1, _T2>& __p2) const
{
if (_M_comp(__p1.first, __p2.first))
return true;
 
if (_M_comp(__p2.first, __p1.first))
return false;
 
// Firsts are equal.
return __p1.second < __p2.second;
}
};
 
/** @brief Compare __a pair of types lexicographically, descending. */
template<typename _T1, typename _T2, typename _Compare>
class _LexicographicReverse : public std::binary_function<_T1, _T2, bool>
{
private:
_Compare& _M_comp;
 
public:
_LexicographicReverse(_Compare& __comp) : _M_comp(__comp) { }
 
bool
operator()(const std::pair<_T1, _T2>& __p1,
const std::pair<_T1, _T2>& __p2) const
{
if (_M_comp(__p2.first, __p1.first))
return true;
 
if (_M_comp(__p1.first, __p2.first))
return false;
 
// Firsts are equal.
return __p2.second < __p1.second;
}
};
 
/**
* @brief Splits several sorted sequences at a certain global __rank,
* resulting in a splitting point for each sequence.
* The sequences are passed via a sequence of random-access
* iterator pairs, none of the sequences may be empty. If there
* are several equal elements across the split, the ones on the
* __left side will be chosen from sequences with smaller number.
* @param __begin_seqs Begin of the sequence of iterator pairs.
* @param __end_seqs End of the sequence of iterator pairs.
* @param __rank The global rank to partition at.
* @param __begin_offsets A random-access __sequence __begin where the
* __result will be stored in. Each element of the sequence is an
* iterator that points to the first element on the greater part of
* the respective __sequence.
* @param __comp The ordering functor, defaults to std::less<_Tp>.
*/
template<typename _RanSeqs, typename _RankType, typename _RankIterator,
typename _Compare>
void
multiseq_partition(_RanSeqs __begin_seqs, _RanSeqs __end_seqs,
_RankType __rank,
_RankIterator __begin_offsets,
_Compare __comp = std::less<
typename std::iterator_traits<typename
std::iterator_traits<_RanSeqs>::value_type::
first_type>::value_type>()) // std::less<_Tp>
{
_GLIBCXX_CALL(__end_seqs - __begin_seqs)
 
typedef typename std::iterator_traits<_RanSeqs>::value_type::first_type
_It;
typedef typename std::iterator_traits<_RanSeqs>::difference_type
_SeqNumber;
typedef typename std::iterator_traits<_It>::difference_type
_DifferenceType;
typedef typename std::iterator_traits<_It>::value_type _ValueType;
 
_Lexicographic<_ValueType, _SeqNumber, _Compare> __lcomp(__comp);
_LexicographicReverse<_ValueType, _SeqNumber, _Compare> __lrcomp(__comp);
 
// Number of sequences, number of elements in total (possibly
// including padding).
_DifferenceType __m = std::distance(__begin_seqs, __end_seqs), __nn = 0,
__nmax, __n, __r;
 
for (_SeqNumber __i = 0; __i < __m; __i++)
{
__nn += std::distance(__begin_seqs[__i].first,
__begin_seqs[__i].second);
_GLIBCXX_PARALLEL_ASSERT(
std::distance(__begin_seqs[__i].first,
__begin_seqs[__i].second) > 0);
}
 
if (__rank == __nn)
{
for (_SeqNumber __i = 0; __i < __m; __i++)
__begin_offsets[__i] = __begin_seqs[__i].second; // Very end.
// Return __m - 1;
return;
}
 
_GLIBCXX_PARALLEL_ASSERT(__m != 0);
_GLIBCXX_PARALLEL_ASSERT(__nn != 0);
_GLIBCXX_PARALLEL_ASSERT(__rank >= 0);
_GLIBCXX_PARALLEL_ASSERT(__rank < __nn);
 
_DifferenceType* __ns = new _DifferenceType[__m];
_DifferenceType* __a = new _DifferenceType[__m];
_DifferenceType* __b = new _DifferenceType[__m];
_DifferenceType __l;
 
__ns[0] = std::distance(__begin_seqs[0].first, __begin_seqs[0].second);
__nmax = __ns[0];
for (_SeqNumber __i = 0; __i < __m; __i++)
{
__ns[__i] = std::distance(__begin_seqs[__i].first,
__begin_seqs[__i].second);
__nmax = std::max(__nmax, __ns[__i]);
}
 
__r = __rd_log2(__nmax) + 1;
 
// Pad all lists to this length, at least as long as any ns[__i],
// equality iff __nmax = 2^__k - 1.
__l = (1ULL << __r) - 1;
 
for (_SeqNumber __i = 0; __i < __m; __i++)
{
__a[__i] = 0;
__b[__i] = __l;
}
__n = __l / 2;
 
// Invariants:
// 0 <= __a[__i] <= __ns[__i], 0 <= __b[__i] <= __l
 
#define __S(__i) (__begin_seqs[__i].first)
 
// Initial partition.
std::vector<std::pair<_ValueType, _SeqNumber> > __sample;
 
for (_SeqNumber __i = 0; __i < __m; __i++)
if (__n < __ns[__i]) //__sequence long enough
__sample.push_back(std::make_pair(__S(__i)[__n], __i));
__gnu_sequential::sort(__sample.begin(), __sample.end(), __lcomp);
 
for (_SeqNumber __i = 0; __i < __m; __i++) //conceptual infinity
if (__n >= __ns[__i]) //__sequence too short, conceptual infinity
__sample.push_back(
std::make_pair(__S(__i)[0] /*__dummy element*/, __i));
 
_DifferenceType __localrank = __rank / __l;
 
_SeqNumber __j;
for (__j = 0;
__j < __localrank && ((__n + 1) <= __ns[__sample[__j].second]);
++__j)
__a[__sample[__j].second] += __n + 1;
for (; __j < __m; __j++)
__b[__sample[__j].second] -= __n + 1;
// Further refinement.
while (__n > 0)
{
__n /= 2;
 
_SeqNumber __lmax_seq = -1; // to avoid warning
const _ValueType* __lmax = 0; // impossible to avoid the warning?
for (_SeqNumber __i = 0; __i < __m; __i++)
{
if (__a[__i] > 0)
{
if (!__lmax)
{
__lmax = &(__S(__i)[__a[__i] - 1]);
__lmax_seq = __i;
}
else
{
// Max, favor rear sequences.
if (!__comp(__S(__i)[__a[__i] - 1], *__lmax))
{
__lmax = &(__S(__i)[__a[__i] - 1]);
__lmax_seq = __i;
}
}
}
}
 
_SeqNumber __i;
for (__i = 0; __i < __m; __i++)
{
_DifferenceType __middle = (__b[__i] + __a[__i]) / 2;
if (__lmax && __middle < __ns[__i] &&
__lcomp(std::make_pair(__S(__i)[__middle], __i),
std::make_pair(*__lmax, __lmax_seq)))
__a[__i] = std::min(__a[__i] + __n + 1, __ns[__i]);
else
__b[__i] -= __n + 1;
}
 
_DifferenceType __leftsize = 0;
for (_SeqNumber __i = 0; __i < __m; __i++)
__leftsize += __a[__i] / (__n + 1);
 
_DifferenceType __skew = __rank / (__n + 1) - __leftsize;
 
if (__skew > 0)
{
// Move to the left, find smallest.
std::priority_queue<std::pair<_ValueType, _SeqNumber>,
std::vector<std::pair<_ValueType, _SeqNumber> >,
_LexicographicReverse<_ValueType, _SeqNumber, _Compare> >
__pq(__lrcomp);
for (_SeqNumber __i = 0; __i < __m; __i++)
if (__b[__i] < __ns[__i])
__pq.push(std::make_pair(__S(__i)[__b[__i]], __i));
 
for (; __skew != 0 && !__pq.empty(); --__skew)
{
_SeqNumber __source = __pq.top().second;
__pq.pop();
 
__a[__source]
= std::min(__a[__source] + __n + 1, __ns[__source]);
__b[__source] += __n + 1;
 
if (__b[__source] < __ns[__source])
__pq.push(
std::make_pair(__S(__source)[__b[__source]], __source));
}
}
else if (__skew < 0)
{
// Move to the right, find greatest.
std::priority_queue<std::pair<_ValueType, _SeqNumber>,
std::vector<std::pair<_ValueType, _SeqNumber> >,
_Lexicographic<_ValueType, _SeqNumber, _Compare> >
__pq(__lcomp);
 
for (_SeqNumber __i = 0; __i < __m; __i++)
if (__a[__i] > 0)
__pq.push(std::make_pair(__S(__i)[__a[__i] - 1], __i));
 
for (; __skew != 0; ++__skew)
{
_SeqNumber __source = __pq.top().second;
__pq.pop();
 
__a[__source] -= __n + 1;
__b[__source] -= __n + 1;
 
if (__a[__source] > 0)
__pq.push(std::make_pair(
__S(__source)[__a[__source] - 1], __source));
}
}
}
 
// Postconditions:
// __a[__i] == __b[__i] in most cases, except when __a[__i] has been
// clamped because of having reached the boundary
 
// Now return the result, calculate the offset.
 
// Compare the keys on both edges of the border.
 
// Maximum of left edge, minimum of right edge.
_ValueType* __maxleft = 0;
_ValueType* __minright = 0;
for (_SeqNumber __i = 0; __i < __m; __i++)
{
if (__a[__i] > 0)
{
if (!__maxleft)
__maxleft = &(__S(__i)[__a[__i] - 1]);
else
{
// Max, favor rear sequences.
if (!__comp(__S(__i)[__a[__i] - 1], *__maxleft))
__maxleft = &(__S(__i)[__a[__i] - 1]);
}
}
if (__b[__i] < __ns[__i])
{
if (!__minright)
__minright = &(__S(__i)[__b[__i]]);
else
{
// Min, favor fore sequences.
if (__comp(__S(__i)[__b[__i]], *__minright))
__minright = &(__S(__i)[__b[__i]]);
}
}
}
 
_SeqNumber __seq = 0;
for (_SeqNumber __i = 0; __i < __m; __i++)
__begin_offsets[__i] = __S(__i) + __a[__i];
 
delete[] __ns;
delete[] __a;
delete[] __b;
}
 
 
/**
* @brief Selects the element at a certain global __rank from several
* sorted sequences.
*
* The sequences are passed via a sequence of random-access
* iterator pairs, none of the sequences may be empty.
* @param __begin_seqs Begin of the sequence of iterator pairs.
* @param __end_seqs End of the sequence of iterator pairs.
* @param __rank The global rank to partition at.
* @param __offset The rank of the selected element in the global
* subsequence of elements equal to the selected element. If the
* selected element is unique, this number is 0.
* @param __comp The ordering functor, defaults to std::less.
*/
template<typename _Tp, typename _RanSeqs, typename _RankType,
typename _Compare>
_Tp
multiseq_selection(_RanSeqs __begin_seqs, _RanSeqs __end_seqs,
_RankType __rank,
_RankType& __offset, _Compare __comp = std::less<_Tp>())
{
_GLIBCXX_CALL(__end_seqs - __begin_seqs)
 
typedef typename std::iterator_traits<_RanSeqs>::value_type::first_type
_It;
typedef typename std::iterator_traits<_RanSeqs>::difference_type
_SeqNumber;
typedef typename std::iterator_traits<_It>::difference_type
_DifferenceType;
 
_Lexicographic<_Tp, _SeqNumber, _Compare> __lcomp(__comp);
_LexicographicReverse<_Tp, _SeqNumber, _Compare> __lrcomp(__comp);
 
// Number of sequences, number of elements in total (possibly
// including padding).
_DifferenceType __m = std::distance(__begin_seqs, __end_seqs);
_DifferenceType __nn = 0;
_DifferenceType __nmax, __n, __r;
 
for (_SeqNumber __i = 0; __i < __m; __i++)
__nn += std::distance(__begin_seqs[__i].first,
__begin_seqs[__i].second);
 
if (__m == 0 || __nn == 0 || __rank < 0 || __rank >= __nn)
{
// result undefined if there is no data or __rank is outside bounds
throw std::exception();
}
 
 
_DifferenceType* __ns = new _DifferenceType[__m];
_DifferenceType* __a = new _DifferenceType[__m];
_DifferenceType* __b = new _DifferenceType[__m];
_DifferenceType __l;
 
__ns[0] = std::distance(__begin_seqs[0].first, __begin_seqs[0].second);
__nmax = __ns[0];
for (_SeqNumber __i = 0; __i < __m; ++__i)
{
__ns[__i] = std::distance(__begin_seqs[__i].first,
__begin_seqs[__i].second);
__nmax = std::max(__nmax, __ns[__i]);
}
 
__r = __rd_log2(__nmax) + 1;
 
// Pad all lists to this length, at least as long as any ns[__i],
// equality iff __nmax = 2^__k - 1
__l = __round_up_to_pow2(__r) - 1;
 
for (_SeqNumber __i = 0; __i < __m; ++__i)
{
__a[__i] = 0;
__b[__i] = __l;
}
__n = __l / 2;
 
// Invariants:
// 0 <= __a[__i] <= __ns[__i], 0 <= __b[__i] <= __l
 
#define __S(__i) (__begin_seqs[__i].first)
 
// Initial partition.
std::vector<std::pair<_Tp, _SeqNumber> > __sample;
 
for (_SeqNumber __i = 0; __i < __m; __i++)
if (__n < __ns[__i])
__sample.push_back(std::make_pair(__S(__i)[__n], __i));
__gnu_sequential::sort(__sample.begin(), __sample.end(),
__lcomp, sequential_tag());
 
// Conceptual infinity.
for (_SeqNumber __i = 0; __i < __m; __i++)
if (__n >= __ns[__i])
__sample.push_back(
std::make_pair(__S(__i)[0] /*__dummy element*/, __i));
 
_DifferenceType __localrank = __rank / __l;
 
_SeqNumber __j;
for (__j = 0;
__j < __localrank && ((__n + 1) <= __ns[__sample[__j].second]);
++__j)
__a[__sample[__j].second] += __n + 1;
for (; __j < __m; ++__j)
__b[__sample[__j].second] -= __n + 1;
 
// Further refinement.
while (__n > 0)
{
__n /= 2;
 
const _Tp* __lmax = 0;
for (_SeqNumber __i = 0; __i < __m; ++__i)
{
if (__a[__i] > 0)
{
if (!__lmax)
__lmax = &(__S(__i)[__a[__i] - 1]);
else
{
if (__comp(*__lmax, __S(__i)[__a[__i] - 1])) //max
__lmax = &(__S(__i)[__a[__i] - 1]);
}
}
}
 
_SeqNumber __i;
for (__i = 0; __i < __m; __i++)
{
_DifferenceType __middle = (__b[__i] + __a[__i]) / 2;
if (__lmax && __middle < __ns[__i]
&& __comp(__S(__i)[__middle], *__lmax))
__a[__i] = std::min(__a[__i] + __n + 1, __ns[__i]);
else
__b[__i] -= __n + 1;
}
 
_DifferenceType __leftsize = 0;
for (_SeqNumber __i = 0; __i < __m; ++__i)
__leftsize += __a[__i] / (__n + 1);
 
_DifferenceType __skew = __rank / (__n + 1) - __leftsize;
 
if (__skew > 0)
{
// Move to the left, find smallest.
std::priority_queue<std::pair<_Tp, _SeqNumber>,
std::vector<std::pair<_Tp, _SeqNumber> >,
_LexicographicReverse<_Tp, _SeqNumber, _Compare> >
__pq(__lrcomp);
 
for (_SeqNumber __i = 0; __i < __m; ++__i)
if (__b[__i] < __ns[__i])
__pq.push(std::make_pair(__S(__i)[__b[__i]], __i));
 
for (; __skew != 0 && !__pq.empty(); --__skew)
{
_SeqNumber __source = __pq.top().second;
__pq.pop();
 
__a[__source]
= std::min(__a[__source] + __n + 1, __ns[__source]);
__b[__source] += __n + 1;
 
if (__b[__source] < __ns[__source])
__pq.push(
std::make_pair(__S(__source)[__b[__source]], __source));
}
}
else if (__skew < 0)
{
// Move to the right, find greatest.
std::priority_queue<std::pair<_Tp, _SeqNumber>,
std::vector<std::pair<_Tp, _SeqNumber> >,
_Lexicographic<_Tp, _SeqNumber, _Compare> > __pq(__lcomp);
 
for (_SeqNumber __i = 0; __i < __m; ++__i)
if (__a[__i] > 0)
__pq.push(std::make_pair(__S(__i)[__a[__i] - 1], __i));
 
for (; __skew != 0; ++__skew)
{
_SeqNumber __source = __pq.top().second;
__pq.pop();
 
__a[__source] -= __n + 1;
__b[__source] -= __n + 1;
 
if (__a[__source] > 0)
__pq.push(std::make_pair(
__S(__source)[__a[__source] - 1], __source));
}
}
}
 
// Postconditions:
// __a[__i] == __b[__i] in most cases, except when __a[__i] has been
// clamped because of having reached the boundary
 
// Now return the result, calculate the offset.
 
// Compare the keys on both edges of the border.
 
// Maximum of left edge, minimum of right edge.
bool __maxleftset = false, __minrightset = false;
 
// Impossible to avoid the warning?
_Tp __maxleft, __minright;
for (_SeqNumber __i = 0; __i < __m; ++__i)
{
if (__a[__i] > 0)
{
if (!__maxleftset)
{
__maxleft = __S(__i)[__a[__i] - 1];
__maxleftset = true;
}
else
{
// Max.
if (__comp(__maxleft, __S(__i)[__a[__i] - 1]))
__maxleft = __S(__i)[__a[__i] - 1];
}
}
if (__b[__i] < __ns[__i])
{
if (!__minrightset)
{
__minright = __S(__i)[__b[__i]];
__minrightset = true;
}
else
{
// Min.
if (__comp(__S(__i)[__b[__i]], __minright))
__minright = __S(__i)[__b[__i]];
}
}
}
 
// Minright is the __splitter, in any case.
 
if (!__maxleftset || __comp(__minright, __maxleft))
{
// Good luck, everything is split unambiguously.
__offset = 0;
}
else
{
// We have to calculate an offset.
__offset = 0;
 
for (_SeqNumber __i = 0; __i < __m; ++__i)
{
_DifferenceType lb
= std::lower_bound(__S(__i), __S(__i) + __ns[__i],
__minright,
__comp) - __S(__i);
__offset += __a[__i] - lb;
}
}
 
delete[] __ns;
delete[] __a;
delete[] __b;
 
return __minright;
}
}
 
#undef __S
 
#endif /* _GLIBCXX_PARALLEL_MULTISEQ_SELECTION_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/multiway_merge.h
0,0 → 1,2072
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/multiway_merge.h
* @brief Implementation of sequential and parallel multiway merge.
*
* Explanations on the high-speed merging routines in the appendix of
*
* P. Sanders.
* Fast priority queues for cached memory.
* ACM Journal of Experimental Algorithmics, 5, 2000.
*
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Manuel Holtgrewe.
 
#ifndef _GLIBCXX_PARALLEL_MULTIWAY_MERGE_H
#define _GLIBCXX_PARALLEL_MULTIWAY_MERGE_H
 
#include <vector>
 
#include <bits/stl_algo.h>
#include <parallel/features.h>
#include <parallel/parallel.h>
#include <parallel/losertree.h>
#include <parallel/multiseq_selection.h>
#if _GLIBCXX_ASSERTIONS
#include <parallel/checkers.h>
#endif
 
/** @brief Length of a sequence described by a pair of iterators. */
#define _GLIBCXX_PARALLEL_LENGTH(__s) ((__s).second - (__s).first)
 
namespace __gnu_parallel
{
template<typename _RAIter1, typename _RAIter2, typename _OutputIterator,
typename _DifferenceTp, typename _Compare>
_OutputIterator
__merge_advance(_RAIter1&, _RAIter1, _RAIter2&, _RAIter2,
_OutputIterator, _DifferenceTp, _Compare);
 
/** @brief _Iterator wrapper supporting an implicit supremum at the end
* of the sequence, dominating all comparisons.
*
* The implicit supremum comes with a performance cost.
*
* Deriving from _RAIter is not possible since
* _RAIter need not be a class.
*/
template<typename _RAIter, typename _Compare>
class _GuardedIterator
{
private:
/** @brief Current iterator __position. */
_RAIter _M_current;
 
/** @brief End iterator of the sequence. */
_RAIter _M_end;
 
/** @brief _Compare. */
_Compare& __comp;
 
public:
/** @brief Constructor. Sets iterator to beginning of sequence.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __comp Comparator provided for associated overloaded
* compare operators. */
_GuardedIterator(_RAIter __begin, _RAIter __end, _Compare& __comp)
: _M_current(__begin), _M_end(__end), __comp(__comp)
{ }
 
/** @brief Pre-increment operator.
* @return This. */
_GuardedIterator<_RAIter, _Compare>&
operator++()
{
++_M_current;
return *this;
}
 
/** @brief Dereference operator.
* @return Referenced element. */
typename std::iterator_traits<_RAIter>::value_type&
operator*()
{ return *_M_current; }
 
/** @brief Convert to wrapped iterator.
* @return Wrapped iterator. */
operator _RAIter()
{ return _M_current; }
 
/** @brief Compare two elements referenced by guarded iterators.
* @param __bi1 First iterator.
* @param __bi2 Second iterator.
* @return @c true if less. */
friend bool
operator<(_GuardedIterator<_RAIter, _Compare>& __bi1,
_GuardedIterator<_RAIter, _Compare>& __bi2)
{
if (__bi1._M_current == __bi1._M_end) // __bi1 is sup
return __bi2._M_current == __bi2._M_end; // __bi2 is not sup
if (__bi2._M_current == __bi2._M_end) // __bi2 is sup
return true;
return (__bi1.__comp)(*__bi1, *__bi2); // normal compare
}
 
/** @brief Compare two elements referenced by guarded iterators.
* @param __bi1 First iterator.
* @param __bi2 Second iterator.
* @return @c True if less equal. */
friend bool
operator<=(_GuardedIterator<_RAIter, _Compare>& __bi1,
_GuardedIterator<_RAIter, _Compare>& __bi2)
{
if (__bi2._M_current == __bi2._M_end) // __bi1 is sup
return __bi1._M_current != __bi1._M_end; // __bi2 is not sup
if (__bi1._M_current == __bi1._M_end) // __bi2 is sup
return false;
return !(__bi1.__comp)(*__bi2, *__bi1); // normal compare
}
};
 
template<typename _RAIter, typename _Compare>
class _UnguardedIterator
{
private:
/** @brief Current iterator __position. */
_RAIter _M_current;
/** @brief _Compare. */
_Compare& __comp;
 
public:
/** @brief Constructor. Sets iterator to beginning of sequence.
* @param __begin Begin iterator of sequence.
* @param __end Unused, only for compatibility.
* @param __comp Unused, only for compatibility. */
_UnguardedIterator(_RAIter __begin,
_RAIter /* __end */, _Compare& __comp)
: _M_current(__begin), __comp(__comp)
{ }
 
/** @brief Pre-increment operator.
* @return This. */
_UnguardedIterator<_RAIter, _Compare>&
operator++()
{
++_M_current;
return *this;
}
 
/** @brief Dereference operator.
* @return Referenced element. */
typename std::iterator_traits<_RAIter>::value_type&
operator*()
{ return *_M_current; }
 
/** @brief Convert to wrapped iterator.
* @return Wrapped iterator. */
operator _RAIter()
{ return _M_current; }
 
/** @brief Compare two elements referenced by unguarded iterators.
* @param __bi1 First iterator.
* @param __bi2 Second iterator.
* @return @c true if less. */
friend bool
operator<(_UnguardedIterator<_RAIter, _Compare>& __bi1,
_UnguardedIterator<_RAIter, _Compare>& __bi2)
{
// Normal compare.
return (__bi1.__comp)(*__bi1, *__bi2);
}
 
/** @brief Compare two elements referenced by unguarded iterators.
* @param __bi1 First iterator.
* @param __bi2 Second iterator.
* @return @c True if less equal. */
friend bool
operator<=(_UnguardedIterator<_RAIter, _Compare>& __bi1,
_UnguardedIterator<_RAIter, _Compare>& __bi2)
{
// Normal compare.
return !(__bi1.__comp)(*__bi2, *__bi1);
}
};
 
/** @brief Highly efficient 3-way merging procedure.
*
* Merging is done with the algorithm implementation described by Peter
* Sanders. Basically, the idea is to minimize the number of necessary
* comparison after merging an element. The implementation trick
* that makes this fast is that the order of the sequences is stored
* in the instruction pointer (translated into labels in C++).
*
* This works well for merging up to 4 sequences.
*
* Note that making the merging stable does @a not come at a
* performance hit.
*
* Whether the merging is done guarded or unguarded is selected by the
* used iterator class.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, less equal than the
* total number of elements available.
*
* @return End iterator of output sequence.
*/
template<template<typename RAI, typename C> class iterator,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
_RAIter3
multiway_merge_3_variant(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{
_GLIBCXX_CALL(__length);
 
typedef _DifferenceTp _DifferenceType;
 
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
if (__length == 0)
return __target;
 
#if _GLIBCXX_ASSERTIONS
_DifferenceTp __orig_length = __length;
#endif
 
iterator<_RAIter1, _Compare>
__seq0(__seqs_begin[0].first, __seqs_begin[0].second, __comp),
__seq1(__seqs_begin[1].first, __seqs_begin[1].second, __comp),
__seq2(__seqs_begin[2].first, __seqs_begin[2].second, __comp);
 
if (__seq0 <= __seq1)
{
if (__seq1 <= __seq2)
goto __s012;
else
if (__seq2 < __seq0)
goto __s201;
else
goto __s021;
}
else
{
if (__seq1 <= __seq2)
{
if (__seq0 <= __seq2)
goto __s102;
else
goto __s120;
}
else
goto __s210;
}
#define _GLIBCXX_PARALLEL_MERGE_3_CASE(__a, __b, __c, __c0, __c1) \
__s ## __a ## __b ## __c : \
*__target = *__seq ## __a; \
++__target; \
--__length; \
++__seq ## __a; \
if (__length == 0) goto __finish; \
if (__seq ## __a __c0 __seq ## __b) goto __s ## __a ## __b ## __c; \
if (__seq ## __a __c1 __seq ## __c) goto __s ## __b ## __a ## __c; \
goto __s ## __b ## __c ## __a;
 
_GLIBCXX_PARALLEL_MERGE_3_CASE(0, 1, 2, <=, <=);
_GLIBCXX_PARALLEL_MERGE_3_CASE(1, 2, 0, <=, < );
_GLIBCXX_PARALLEL_MERGE_3_CASE(2, 0, 1, < , < );
_GLIBCXX_PARALLEL_MERGE_3_CASE(1, 0, 2, < , <=);
_GLIBCXX_PARALLEL_MERGE_3_CASE(0, 2, 1, <=, <=);
_GLIBCXX_PARALLEL_MERGE_3_CASE(2, 1, 0, < , < );
 
#undef _GLIBCXX_PARALLEL_MERGE_3_CASE
 
__finish:
;
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(
((_RAIter1)__seq0 - __seqs_begin[0].first) +
((_RAIter1)__seq1 - __seqs_begin[1].first) +
((_RAIter1)__seq2 - __seqs_begin[2].first)
== __orig_length);
#endif
 
__seqs_begin[0].first = __seq0;
__seqs_begin[1].first = __seq1;
__seqs_begin[2].first = __seq2;
 
return __target;
}
 
/**
* @brief Highly efficient 4-way merging procedure.
*
* Merging is done with the algorithm implementation described by Peter
* Sanders. Basically, the idea is to minimize the number of necessary
* comparison after merging an element. The implementation trick
* that makes this fast is that the order of the sequences is stored
* in the instruction pointer (translated into goto labels in C++).
*
* This works well for merging up to 4 sequences.
*
* Note that making the merging stable does @a not come at a
* performance hit.
*
* Whether the merging is done guarded or unguarded is selected by the
* used iterator class.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, less equal than the
* total number of elements available.
*
* @return End iterator of output sequence.
*/
template<template<typename RAI, typename C> class iterator,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
_RAIter3
multiway_merge_4_variant(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{
_GLIBCXX_CALL(__length);
typedef _DifferenceTp _DifferenceType;
 
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
iterator<_RAIter1, _Compare>
__seq0(__seqs_begin[0].first, __seqs_begin[0].second, __comp),
__seq1(__seqs_begin[1].first, __seqs_begin[1].second, __comp),
__seq2(__seqs_begin[2].first, __seqs_begin[2].second, __comp),
__seq3(__seqs_begin[3].first, __seqs_begin[3].second, __comp);
 
#define _GLIBCXX_PARALLEL_DECISION(__a, __b, __c, __d) { \
if (__seq ## __d < __seq ## __a) \
goto __s ## __d ## __a ## __b ## __c; \
if (__seq ## __d < __seq ## __b) \
goto __s ## __a ## __d ## __b ## __c; \
if (__seq ## __d < __seq ## __c) \
goto __s ## __a ## __b ## __d ## __c; \
goto __s ## __a ## __b ## __c ## __d; }
 
if (__seq0 <= __seq1)
{
if (__seq1 <= __seq2)
_GLIBCXX_PARALLEL_DECISION(0,1,2,3)
else
if (__seq2 < __seq0)
_GLIBCXX_PARALLEL_DECISION(2,0,1,3)
else
_GLIBCXX_PARALLEL_DECISION(0,2,1,3)
}
else
{
if (__seq1 <= __seq2)
{
if (__seq0 <= __seq2)
_GLIBCXX_PARALLEL_DECISION(1,0,2,3)
else
_GLIBCXX_PARALLEL_DECISION(1,2,0,3)
}
else
_GLIBCXX_PARALLEL_DECISION(2,1,0,3)
}
 
#define _GLIBCXX_PARALLEL_MERGE_4_CASE(__a, __b, __c, __d, \
__c0, __c1, __c2) \
__s ## __a ## __b ## __c ## __d: \
if (__length == 0) goto __finish; \
*__target = *__seq ## __a; \
++__target; \
--__length; \
++__seq ## __a; \
if (__seq ## __a __c0 __seq ## __b) \
goto __s ## __a ## __b ## __c ## __d; \
if (__seq ## __a __c1 __seq ## __c) \
goto __s ## __b ## __a ## __c ## __d; \
if (__seq ## __a __c2 __seq ## __d) \
goto __s ## __b ## __c ## __a ## __d; \
goto __s ## __b ## __c ## __d ## __a;
 
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 1, 2, 3, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 1, 3, 2, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 2, 1, 3, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 2, 3, 1, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 3, 1, 2, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(0, 3, 2, 1, <=, <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 0, 2, 3, < , <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 0, 3, 2, < , <=, <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 2, 0, 3, <=, < , <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 2, 3, 0, <=, <=, < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 3, 0, 2, <=, < , <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(1, 3, 2, 0, <=, <=, < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 0, 1, 3, < , < , <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 0, 3, 1, < , <=, < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 1, 0, 3, < , < , <=);
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 1, 3, 0, < , <=, < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 3, 0, 1, <=, < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(2, 3, 1, 0, <=, < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 0, 1, 2, < , < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 0, 2, 1, < , < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 1, 0, 2, < , < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 1, 2, 0, < , < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 2, 0, 1, < , < , < );
_GLIBCXX_PARALLEL_MERGE_4_CASE(3, 2, 1, 0, < , < , < );
 
#undef _GLIBCXX_PARALLEL_MERGE_4_CASE
#undef _GLIBCXX_PARALLEL_DECISION
 
__finish:
;
 
__seqs_begin[0].first = __seq0;
__seqs_begin[1].first = __seq1;
__seqs_begin[2].first = __seq2;
__seqs_begin[3].first = __seq3;
 
return __target;
}
 
/** @brief Multi-way merging procedure for a high branching factor,
* guarded case.
*
* This merging variant uses a LoserTree class as selected by <tt>_LT</tt>.
*
* Stability is selected through the used LoserTree class <tt>_LT</tt>.
*
* At least one non-empty sequence is required.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, less equal than the
* total number of elements available.
*
* @return End iterator of output sequence.
*/
template<typename _LT,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
_RAIter3
multiway_merge_loser_tree(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{
_GLIBCXX_CALL(__length)
 
typedef _DifferenceTp _DifferenceType;
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
_SeqNumber __k = static_cast<_SeqNumber>(__seqs_end - __seqs_begin);
 
_LT __lt(__k, __comp);
 
// Default value for potentially non-default-constructible types.
_ValueType* __arbitrary_element = 0;
 
for (_SeqNumber __t = 0; __t < __k; ++__t)
{
if(!__arbitrary_element
&& _GLIBCXX_PARALLEL_LENGTH(__seqs_begin[__t]) > 0)
__arbitrary_element = &(*__seqs_begin[__t].first);
}
 
for (_SeqNumber __t = 0; __t < __k; ++__t)
{
if (__seqs_begin[__t].first == __seqs_begin[__t].second)
__lt.__insert_start(*__arbitrary_element, __t, true);
else
__lt.__insert_start(*__seqs_begin[__t].first, __t, false);
}
 
__lt.__init();
 
_SeqNumber __source;
 
for (_DifferenceType __i = 0; __i < __length; ++__i)
{
//take out
__source = __lt.__get_min_source();
 
*(__target++) = *(__seqs_begin[__source].first++);
 
// Feed.
if (__seqs_begin[__source].first == __seqs_begin[__source].second)
__lt.__delete_min_insert(*__arbitrary_element, true);
else
// Replace from same __source.
__lt.__delete_min_insert(*__seqs_begin[__source].first, false);
}
 
return __target;
}
 
/** @brief Multi-way merging procedure for a high branching factor,
* unguarded case.
*
* Merging is done using the LoserTree class <tt>_LT</tt>.
*
* Stability is selected by the used LoserTrees.
*
* @pre No input will run out of elements during the merge.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, less equal than the
* total number of elements available.
*
* @return End iterator of output sequence.
*/
template<typename _LT,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp, typename _Compare>
_RAIter3
multiway_merge_loser_tree_unguarded(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
const typename std::iterator_traits<typename std::iterator_traits<
_RAIterIterator>::value_type::first_type>::value_type&
__sentinel,
_DifferenceTp __length,
_Compare __comp)
{
_GLIBCXX_CALL(__length)
typedef _DifferenceTp _DifferenceType;
 
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
_SeqNumber __k = __seqs_end - __seqs_begin;
 
_LT __lt(__k, __sentinel, __comp);
 
for (_SeqNumber __t = 0; __t < __k; ++__t)
{
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__seqs_begin[__t].first
!= __seqs_begin[__t].second);
#endif
__lt.__insert_start(*__seqs_begin[__t].first, __t, false);
}
 
__lt.__init();
 
_SeqNumber __source;
 
#if _GLIBCXX_ASSERTIONS
_DifferenceType __i = 0;
#endif
 
_RAIter3 __target_end = __target + __length;
while (__target < __target_end)
{
// Take out.
__source = __lt.__get_min_source();
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(0 <= __source && __source < __k);
_GLIBCXX_PARALLEL_ASSERT(__i == 0
|| !__comp(*(__seqs_begin[__source].first), *(__target - 1)));
#endif
 
// Feed.
*(__target++) = *(__seqs_begin[__source].first++);
 
#if _GLIBCXX_ASSERTIONS
++__i;
#endif
// Replace from same __source.
__lt.__delete_min_insert(*__seqs_begin[__source].first, false);
}
 
return __target;
}
 
 
/** @brief Multi-way merging procedure for a high branching factor,
* requiring sentinels to exist.
*
* @tparam UnguardedLoserTree _Loser Tree variant to use for the unguarded
* merging.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, less equal than the
* total number of elements available.
*
* @return End iterator of output sequence.
*/
template<typename UnguardedLoserTree,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
_RAIter3
multiway_merge_loser_tree_sentinel(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
const typename std::iterator_traits<typename std::iterator_traits<
_RAIterIterator>::value_type::first_type>::value_type&
__sentinel,
_DifferenceTp __length,
_Compare __comp)
{
_GLIBCXX_CALL(__length)
 
typedef _DifferenceTp _DifferenceType;
typedef std::iterator_traits<_RAIterIterator> _TraitsType;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
_RAIter3 __target_end;
 
for (_RAIterIterator __s = __seqs_begin; __s != __seqs_end; ++__s)
// Move the sequence ends to the sentinel. This has the
// effect that the sentinel appears to be within the sequence. Then,
// we can use the unguarded variant if we merge out as many
// non-sentinel elements as we have.
++((*__s).second);
 
__target_end = multiway_merge_loser_tree_unguarded<UnguardedLoserTree>
(__seqs_begin, __seqs_end, __target, __sentinel, __length, __comp);
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__target_end == __target + __length);
_GLIBCXX_PARALLEL_ASSERT(__is_sorted(__target, __target_end, __comp));
#endif
 
// Restore the sequence ends so the sentinels are not contained in the
// sequence any more (see comment in loop above).
for (_RAIterIterator __s = __seqs_begin; __s != __seqs_end; ++__s)
--((*__s).second);
 
return __target_end;
}
 
/**
* @brief Traits for determining whether the loser tree should
* use pointers or copies.
*
* The field "_M_use_pointer" is used to determine whether to use pointers
* in he loser trees or whether to copy the values into the loser tree.
*
* The default behavior is to use pointers if the data type is 4 times as
* big as the pointer to it.
*
* Specialize for your data type to customize the behavior.
*
* Example:
*
* template<>
* struct _LoserTreeTraits<int>
* { static const bool _M_use_pointer = false; };
*
* template<>
* struct _LoserTreeTraits<heavyweight_type>
* { static const bool _M_use_pointer = true; };
*
* @param _Tp type to give the loser tree traits for.
*/
template <typename _Tp>
struct _LoserTreeTraits
{
/**
* @brief True iff to use pointers instead of values in loser trees.
*
* The default behavior is to use pointers if the data type is four
* times as big as the pointer to it.
*/
static const bool _M_use_pointer = (sizeof(_Tp) > 4 * sizeof(_Tp*));
};
 
/**
* @brief Switch for 3-way merging with __sentinels turned off.
*
* Note that 3-way merging is always stable!
*/
template<bool __sentinels /*default == false*/,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_3_variant_sentinel_switch
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{ return multiway_merge_3_variant<_GuardedIterator>
(__seqs_begin, __seqs_end, __target, __length, __comp); }
};
 
/**
* @brief Switch for 3-way merging with __sentinels turned on.
*
* Note that 3-way merging is always stable!
*/
template<typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_3_variant_sentinel_switch<true, _RAIterIterator,
_RAIter3, _DifferenceTp,
_Compare>
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{ return multiway_merge_3_variant<_UnguardedIterator>
(__seqs_begin, __seqs_end, __target, __length, __comp); }
};
 
/**
* @brief Switch for 4-way merging with __sentinels turned off.
*
* Note that 4-way merging is always stable!
*/
template<bool __sentinels /*default == false*/,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_4_variant_sentinel_switch
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{ return multiway_merge_4_variant<_GuardedIterator>
(__seqs_begin, __seqs_end, __target, __length, __comp); }
};
 
/**
* @brief Switch for 4-way merging with __sentinels turned on.
*
* Note that 4-way merging is always stable!
*/
template<typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_4_variant_sentinel_switch<true, _RAIterIterator,
_RAIter3, _DifferenceTp,
_Compare>
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_DifferenceTp __length, _Compare __comp)
{ return multiway_merge_4_variant<_UnguardedIterator>
(__seqs_begin, __seqs_end, __target, __length, __comp); }
};
 
/**
* @brief Switch for k-way merging with __sentinels turned on.
*/
template<bool __sentinels,
bool __stable,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_k_variant_sentinel_switch
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
const typename std::iterator_traits<typename std::iterator_traits<
_RAIterIterator>::value_type::first_type>::value_type&
__sentinel,
_DifferenceTp __length, _Compare __comp)
{
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
return multiway_merge_loser_tree_sentinel<
typename __gnu_cxx::__conditional_type<
_LoserTreeTraits<_ValueType>::_M_use_pointer,
_LoserTreePointerUnguarded<__stable, _ValueType, _Compare>,
_LoserTreeUnguarded<__stable, _ValueType, _Compare>
>::__type>
(__seqs_begin, __seqs_end, __target, __sentinel, __length, __comp);
}
};
 
/**
* @brief Switch for k-way merging with __sentinels turned off.
*/
template<bool __stable,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
struct __multiway_merge_k_variant_sentinel_switch<false, __stable,
_RAIterIterator,
_RAIter3, _DifferenceTp,
_Compare>
{
_RAIter3
operator()(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
const typename std::iterator_traits<typename std::iterator_traits<
_RAIterIterator>::value_type::first_type>::value_type&
__sentinel,
_DifferenceTp __length, _Compare __comp)
{
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
return multiway_merge_loser_tree<
typename __gnu_cxx::__conditional_type<
_LoserTreeTraits<_ValueType>::_M_use_pointer,
_LoserTreePointer<__stable, _ValueType, _Compare>,
_LoserTree<__stable, _ValueType, _Compare>
>::__type >(__seqs_begin, __seqs_end, __target, __length, __comp);
}
};
 
/** @brief Sequential multi-way merging switch.
*
* The _GLIBCXX_PARALLEL_DECISION is based on the branching factor and
* runtime settings.
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, possibly larger than the
* number of elements available.
* @param __sentinel The sequences have __a __sentinel element.
* @return End iterator of output sequence. */
template<bool __stable,
bool __sentinels,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Compare>
_RAIter3
__sequential_multiway_merge(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
const typename std::iterator_traits<typename std::iterator_traits<
_RAIterIterator>::value_type::first_type>::value_type&
__sentinel,
_DifferenceTp __length, _Compare __comp)
{
_GLIBCXX_CALL(__length)
 
typedef _DifferenceTp _DifferenceType;
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
#if _GLIBCXX_ASSERTIONS
for (_RAIterIterator __s = __seqs_begin; __s != __seqs_end; ++__s)
{
_GLIBCXX_PARALLEL_ASSERT(__is_sorted((*__s).first,
(*__s).second, __comp));
}
#endif
 
_DifferenceTp __total_length = 0;
for (_RAIterIterator __s = __seqs_begin; __s != __seqs_end; ++__s)
__total_length += _GLIBCXX_PARALLEL_LENGTH(*__s);
 
__length = std::min<_DifferenceTp>(__length, __total_length);
 
if(__length == 0)
return __target;
 
_RAIter3 __return_target = __target;
_SeqNumber __k = static_cast<_SeqNumber>(__seqs_end - __seqs_begin);
 
switch (__k)
{
case 0:
break;
case 1:
__return_target = std::copy(__seqs_begin[0].first,
__seqs_begin[0].first + __length,
__target);
__seqs_begin[0].first += __length;
break;
case 2:
__return_target = __merge_advance(__seqs_begin[0].first,
__seqs_begin[0].second,
__seqs_begin[1].first,
__seqs_begin[1].second,
__target, __length, __comp);
break;
case 3:
__return_target = __multiway_merge_3_variant_sentinel_switch
<__sentinels, _RAIterIterator, _RAIter3, _DifferenceTp, _Compare>()
(__seqs_begin, __seqs_end, __target, __length, __comp);
break;
case 4:
__return_target = __multiway_merge_4_variant_sentinel_switch
<__sentinels, _RAIterIterator, _RAIter3, _DifferenceTp, _Compare>()
(__seqs_begin, __seqs_end, __target, __length, __comp);
break;
default:
__return_target = __multiway_merge_k_variant_sentinel_switch
<__sentinels, __stable, _RAIterIterator, _RAIter3, _DifferenceTp,
_Compare>()
(__seqs_begin, __seqs_end, __target, __sentinel, __length, __comp);
break;
}
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(
__is_sorted(__target, __target + __length, __comp));
#endif
 
return __return_target;
}
 
/**
* @brief Stable sorting functor.
*
* Used to reduce code instanciation in multiway_merge_sampling_splitting.
*/
template<bool __stable, class _RAIter, class _StrictWeakOrdering>
struct _SamplingSorter
{
void
operator()(_RAIter __first, _RAIter __last, _StrictWeakOrdering __comp)
{ __gnu_sequential::stable_sort(__first, __last, __comp); }
};
 
/**
* @brief Non-__stable sorting functor.
*
* Used to reduce code instantiation in multiway_merge_sampling_splitting.
*/
template<class _RAIter, class _StrictWeakOrdering>
struct _SamplingSorter<false, _RAIter, _StrictWeakOrdering>
{
void
operator()(_RAIter __first, _RAIter __last, _StrictWeakOrdering __comp)
{ __gnu_sequential::sort(__first, __last, __comp); }
};
 
/**
* @brief Sampling based splitting for parallel multiway-merge routine.
*/
template<bool __stable,
typename _RAIterIterator,
typename _Compare,
typename _DifferenceType>
void
multiway_merge_sampling_splitting(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_DifferenceType __length,
_DifferenceType __total_length,
_Compare __comp,
std::vector<std::pair<_DifferenceType, _DifferenceType> > *__pieces)
{
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename std::iterator_traits<_RAIter1>::value_type
_ValueType;
 
// __k sequences.
const _SeqNumber __k
= static_cast<_SeqNumber>(__seqs_end - __seqs_begin);
 
const _ThreadIndex __num_threads = omp_get_num_threads();
 
const _DifferenceType __num_samples =
__gnu_parallel::_Settings::get().merge_oversampling * __num_threads;
 
_ValueType* __samples = static_cast<_ValueType*>
(::operator new(sizeof(_ValueType) * __k * __num_samples));
// Sample.
for (_SeqNumber __s = 0; __s < __k; ++__s)
for (_DifferenceType __i = 0; __i < __num_samples; ++__i)
{
_DifferenceType sample_index = static_cast<_DifferenceType>
(_GLIBCXX_PARALLEL_LENGTH(__seqs_begin[__s])
* (double(__i + 1) / (__num_samples + 1))
* (double(__length) / __total_length));
new(&(__samples[__s * __num_samples + __i]))
_ValueType(__seqs_begin[__s].first[sample_index]);
}
 
// Sort stable or non-stable, depending on value of template parameter
// "__stable".
_SamplingSorter<__stable, _ValueType*, _Compare>()
(__samples, __samples + (__num_samples * __k), __comp);
 
for (_ThreadIndex __slab = 0; __slab < __num_threads; ++__slab)
// For each slab / processor.
for (_SeqNumber __seq = 0; __seq < __k; ++__seq)
{
// For each sequence.
if (__slab > 0)
__pieces[__slab][__seq].first = std::upper_bound
(__seqs_begin[__seq].first, __seqs_begin[__seq].second,
__samples[__num_samples * __k * __slab / __num_threads],
__comp)
- __seqs_begin[__seq].first;
else
// Absolute beginning.
__pieces[__slab][__seq].first = 0;
if ((__slab + 1) < __num_threads)
__pieces[__slab][__seq].second = std::upper_bound
(__seqs_begin[__seq].first, __seqs_begin[__seq].second,
__samples[__num_samples * __k * (__slab + 1) / __num_threads],
__comp)
- __seqs_begin[__seq].first;
else
// Absolute end.
__pieces[__slab][__seq].second =
_GLIBCXX_PARALLEL_LENGTH(__seqs_begin[__seq]);
}
 
for (_SeqNumber __s = 0; __s < __k; ++__s)
for (_DifferenceType __i = 0; __i < __num_samples; ++__i)
__samples[__s * __num_samples + __i].~_ValueType();
::operator delete(__samples);
}
 
/**
* @brief Exact splitting for parallel multiway-merge routine.
*
* None of the passed sequences may be empty.
*/
template<bool __stable,
typename _RAIterIterator,
typename _Compare,
typename _DifferenceType>
void
multiway_merge_exact_splitting(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_DifferenceType __length,
_DifferenceType __total_length,
_Compare __comp,
std::vector<std::pair<_DifferenceType, _DifferenceType> > *__pieces)
{
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
 
const bool __tight = (__total_length == __length);
 
// __k sequences.
const _SeqNumber __k = __seqs_end - __seqs_begin;
 
const _ThreadIndex __num_threads = omp_get_num_threads();
 
// (Settings::multiway_merge_splitting
// == __gnu_parallel::_Settings::EXACT).
std::vector<_RAIter1>* __offsets =
new std::vector<_RAIter1>[__num_threads];
std::vector<std::pair<_RAIter1, _RAIter1> > __se(__k);
 
copy(__seqs_begin, __seqs_end, __se.begin());
 
_DifferenceType* __borders =
new _DifferenceType[__num_threads + 1];
__equally_split(__length, __num_threads, __borders);
 
for (_ThreadIndex __s = 0; __s < (__num_threads - 1); ++__s)
{
__offsets[__s].resize(__k);
multiseq_partition(__se.begin(), __se.end(), __borders[__s + 1],
__offsets[__s].begin(), __comp);
 
// Last one also needed and available.
if (!__tight)
{
__offsets[__num_threads - 1].resize(__k);
multiseq_partition(__se.begin(), __se.end(),
_DifferenceType(__length),
__offsets[__num_threads - 1].begin(),
__comp);
}
}
delete[] __borders;
 
for (_ThreadIndex __slab = 0; __slab < __num_threads; ++__slab)
{
// For each slab / processor.
for (_SeqNumber __seq = 0; __seq < __k; ++__seq)
{
// For each sequence.
if (__slab == 0)
{
// Absolute beginning.
__pieces[__slab][__seq].first = 0;
}
else
__pieces[__slab][__seq].first =
__pieces[__slab - 1][__seq].second;
if (!__tight || __slab < (__num_threads - 1))
__pieces[__slab][__seq].second =
__offsets[__slab][__seq] - __seqs_begin[__seq].first;
else
{
// __slab == __num_threads - 1
__pieces[__slab][__seq].second =
_GLIBCXX_PARALLEL_LENGTH(__seqs_begin[__seq]);
}
}
}
delete[] __offsets;
}
 
/** @brief Parallel multi-way merge routine.
*
* The _GLIBCXX_PARALLEL_DECISION is based on the branching factor
* and runtime settings.
*
* Must not be called if the number of sequences is 1.
*
* @tparam _Splitter functor to split input (either __exact or sampling based)
* @tparam __stable Stable merging incurs a performance penalty.
* @tparam __sentinel Ignored.
*
* @param __seqs_begin Begin iterator of iterator pair input sequence.
* @param __seqs_end End iterator of iterator pair input sequence.
* @param __target Begin iterator of output sequence.
* @param __comp Comparator.
* @param __length Maximum length to merge, possibly larger than the
* number of elements available.
* @return End iterator of output sequence.
*/
template<bool __stable,
bool __sentinels,
typename _RAIterIterator,
typename _RAIter3,
typename _DifferenceTp,
typename _Splitter,
typename _Compare>
_RAIter3
parallel_multiway_merge(_RAIterIterator __seqs_begin,
_RAIterIterator __seqs_end,
_RAIter3 __target,
_Splitter __splitter,
_DifferenceTp __length,
_Compare __comp,
_ThreadIndex __num_threads)
{
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__seqs_end - __seqs_begin > 1);
#endif
 
_GLIBCXX_CALL(__length)
 
typedef _DifferenceTp _DifferenceType;
typedef typename std::iterator_traits<_RAIterIterator>
::difference_type _SeqNumber;
typedef typename std::iterator_traits<_RAIterIterator>
::value_type::first_type
_RAIter1;
typedef typename
std::iterator_traits<_RAIter1>::value_type _ValueType;
 
// Leave only non-empty sequences.
typedef std::pair<_RAIter1, _RAIter1> seq_type;
seq_type* __ne_seqs = new seq_type[__seqs_end - __seqs_begin];
_SeqNumber __k = 0;
_DifferenceType __total_length = 0;
for (_RAIterIterator __raii = __seqs_begin;
__raii != __seqs_end; ++__raii)
{
_DifferenceTp __seq_length = _GLIBCXX_PARALLEL_LENGTH(*__raii);
if(__seq_length > 0)
{
__total_length += __seq_length;
__ne_seqs[__k++] = *__raii;
}
}
 
_GLIBCXX_CALL(__total_length)
 
__length = std::min<_DifferenceTp>(__length, __total_length);
 
if (__total_length == 0 || __k == 0)
{
delete[] __ne_seqs;
return __target;
}
 
std::vector<std::pair<_DifferenceType, _DifferenceType> >* __pieces;
 
__num_threads = static_cast<_ThreadIndex>
(std::min<_DifferenceType>(__num_threads, __total_length));
 
# pragma omp parallel num_threads (__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
// Thread __t will have to merge pieces[__iam][0..__k - 1]
__pieces = new std::vector<
std::pair<_DifferenceType, _DifferenceType> >[__num_threads];
for (_ThreadIndex __s = 0; __s < __num_threads; ++__s)
__pieces[__s].resize(__k);
 
_DifferenceType __num_samples =
__gnu_parallel::_Settings::get().merge_oversampling
* __num_threads;
 
__splitter(__ne_seqs, __ne_seqs + __k, __length, __total_length,
__comp, __pieces);
} //single
 
_ThreadIndex __iam = omp_get_thread_num();
 
_DifferenceType __target_position = 0;
 
for (_SeqNumber __c = 0; __c < __k; ++__c)
__target_position += __pieces[__iam][__c].first;
 
seq_type* __chunks = new seq_type[__k];
 
for (_SeqNumber __s = 0; __s < __k; ++__s)
__chunks[__s] = std::make_pair(__ne_seqs[__s].first
+ __pieces[__iam][__s].first,
__ne_seqs[__s].first
+ __pieces[__iam][__s].second);
 
if(__length > __target_position)
__sequential_multiway_merge<__stable, __sentinels>
(__chunks, __chunks + __k, __target + __target_position,
*(__seqs_begin->second), __length - __target_position, __comp);
 
delete[] __chunks;
} // parallel
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(
__is_sorted(__target, __target + __length, __comp));
#endif
 
__k = 0;
// Update ends of sequences.
for (_RAIterIterator __raii = __seqs_begin;
__raii != __seqs_end; ++__raii)
{
_DifferenceTp __length = _GLIBCXX_PARALLEL_LENGTH(*__raii);
if(__length > 0)
(*__raii).first += __pieces[__num_threads - 1][__k++].second;
}
 
delete[] __pieces;
delete[] __ne_seqs;
 
return __target + __length;
}
 
/**
* @brief Multiway Merge Frontend.
*
* Merge the sequences specified by seqs_begin and __seqs_end into
* __target. __seqs_begin and __seqs_end must point to a sequence of
* pairs. These pairs must contain an iterator to the beginning
* of a sequence in their first entry and an iterator the _M_end of
* the same sequence in their second entry.
*
* Ties are broken arbitrarily. See stable_multiway_merge for a variant
* that breaks ties by sequence number but is slower.
*
* The first entries of the pairs (i.e. the begin iterators) will be moved
* forward.
*
* The output sequence has to provide enough space for all elements
* that are written to it.
*
* This function will merge the input sequences:
*
* - not stable
* - parallel, depending on the input size and Settings
* - using sampling for splitting
* - not using sentinels
*
* Example:
*
* <pre>
* int sequences[10][10];
* for (int __i = 0; __i < 10; ++__i)
* for (int __j = 0; __i < 10; ++__j)
* sequences[__i][__j] = __j;
*
* int __out[33];
* std::vector<std::pair<int*> > seqs;
* for (int __i = 0; __i < 10; ++__i)
* { seqs.push(std::make_pair<int*>(sequences[__i],
* sequences[__i] + 10)) }
*
* multiway_merge(seqs.begin(), seqs.end(), __target, std::less<int>(), 33);
* </pre>
*
* @see stable_multiway_merge
*
* @pre All input sequences must be sorted.
* @pre Target must provide enough space to merge out length elements or
* the number of elements in all sequences, whichever is smaller.
*
* @post [__target, return __value) contains merged __elements from the
* input sequences.
* @post return __value - __target = min(__length, number of elements in all
* sequences).
*
* @tparam _RAIterPairIterator iterator over sequence
* of pairs of iterators
* @tparam _RAIterOut iterator over target sequence
* @tparam _DifferenceTp difference type for the sequence
* @tparam _Compare strict weak ordering type to compare elements
* in sequences
*
* @param __seqs_begin __begin of sequence __sequence
* @param __seqs_end _M_end of sequence __sequence
* @param __target target sequence to merge to.
* @param __comp strict weak ordering to use for element comparison.
* @param __length Maximum length to merge, possibly larger than the
* number of elements available.
*
* @return _M_end iterator of output sequence
*/
// multiway_merge
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::sequential_tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute multiway merge *sequentially*.
return __sequential_multiway_merge
</* __stable = */ false, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::exact_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ false, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
multiway_merge_exact_splitting</* __stable = */ false,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ false, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::sampling_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ false, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
multiway_merge_exact_splitting</* __stable = */ false,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ false, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
parallel_tag __tag = parallel_tag(0))
{ return multiway_merge(__seqs_begin, __seqs_end, __target, __length,
__comp, exact_tag(__tag.__get_num_threads())); }
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
default_parallel_tag __tag)
{ return multiway_merge(__seqs_begin, __seqs_end, __target, __length,
__comp, exact_tag(__tag.__get_num_threads())); }
 
// stable_multiway_merge
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::sequential_tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute multiway merge *sequentially*.
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::exact_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ true, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
multiway_merge_exact_splitting</* __stable = */ true,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
sampling_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ true, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
multiway_merge_sampling_splitting</* __stable = */ true,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ false>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
parallel_tag __tag = parallel_tag(0))
{
return stable_multiway_merge
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
default_parallel_tag __tag)
{
return stable_multiway_merge
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
 
/**
* @brief Multiway Merge Frontend.
*
* Merge the sequences specified by seqs_begin and __seqs_end into
* __target. __seqs_begin and __seqs_end must point to a sequence of
* pairs. These pairs must contain an iterator to the beginning
* of a sequence in their first entry and an iterator the _M_end of
* the same sequence in their second entry.
*
* Ties are broken arbitrarily. See stable_multiway_merge for a variant
* that breaks ties by sequence number but is slower.
*
* The first entries of the pairs (i.e. the begin iterators) will be moved
* forward accordingly.
*
* The output sequence has to provide enough space for all elements
* that are written to it.
*
* This function will merge the input sequences:
*
* - not stable
* - parallel, depending on the input size and Settings
* - using sampling for splitting
* - using sentinels
*
* You have to take care that the element the _M_end iterator points to is
* readable and contains a value that is greater than any other non-sentinel
* value in all sequences.
*
* Example:
*
* <pre>
* int sequences[10][11];
* for (int __i = 0; __i < 10; ++__i)
* for (int __j = 0; __i < 11; ++__j)
* sequences[__i][__j] = __j; // __last one is sentinel!
*
* int __out[33];
* std::vector<std::pair<int*> > seqs;
* for (int __i = 0; __i < 10; ++__i)
* { seqs.push(std::make_pair<int*>(sequences[__i],
* sequences[__i] + 10)) }
*
* multiway_merge(seqs.begin(), seqs.end(), __target, std::less<int>(), 33);
* </pre>
*
* @pre All input sequences must be sorted.
* @pre Target must provide enough space to merge out length elements or
* the number of elements in all sequences, whichever is smaller.
* @pre For each @c __i, @c __seqs_begin[__i].second must be the end
* marker of the sequence, but also reference the one more __sentinel
* element.
*
* @post [__target, return __value) contains merged __elements from the
* input sequences.
* @post return __value - __target = min(__length, number of elements in all
* sequences).
*
* @see stable_multiway_merge_sentinels
*
* @tparam _RAIterPairIterator iterator over sequence
* of pairs of iterators
* @tparam _RAIterOut iterator over target sequence
* @tparam _DifferenceTp difference type for the sequence
* @tparam _Compare strict weak ordering type to compare elements
* in sequences
*
* @param __seqs_begin __begin of sequence __sequence
* @param __seqs_end _M_end of sequence __sequence
* @param __target target sequence to merge to.
* @param __comp strict weak ordering to use for element comparison.
* @param __length Maximum length to merge, possibly larger than the
* number of elements available.
*
* @return _M_end iterator of output sequence
*/
// multiway_merge_sentinels
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::sequential_tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute multiway merge *sequentially*.
return __sequential_multiway_merge
</* __stable = */ false, /* __sentinels = */ true>
(__seqs_begin, __seqs_end,
__target, *(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::exact_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ false, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
multiway_merge_exact_splitting</* __stable = */ false,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ false, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
sampling_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ false, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
multiway_merge_sampling_splitting</* __stable = */ false,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */false, /* __sentinels = */ true>(
__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
parallel_tag __tag = parallel_tag(0))
{
return multiway_merge_sentinels
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
default_parallel_tag __tag)
{
return multiway_merge_sentinels
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
 
// stable_multiway_merge_sentinels
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::sequential_tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute multiway merge *sequentially*.
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
__gnu_parallel::exact_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ true, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
multiway_merge_exact_splitting</* __stable = */ true,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length,
_Compare __comp,
sampling_tag __tag)
{
typedef _DifferenceTp _DifferenceType;
_GLIBCXX_CALL(__seqs_end - __seqs_begin)
 
// catch special case: no sequences
if (__seqs_begin == __seqs_end)
return __target;
 
// Execute merge; maybe parallel, depending on the number of merged
// elements and the number of sequences and global thresholds in
// Settings.
if ((__seqs_end - __seqs_begin > 1)
&& _GLIBCXX_PARALLEL_CONDITION(
((__seqs_end - __seqs_begin) >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_k)
&& ((_SequenceIndex)__length >=
__gnu_parallel::_Settings::get().multiway_merge_minimal_n)))
return parallel_multiway_merge
</* __stable = */ true, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
multiway_merge_sampling_splitting</* __stable = */ true,
typename std::iterator_traits<_RAIterPairIterator>
::value_type*, _Compare, _DifferenceTp>,
static_cast<_DifferenceType>(__length), __comp,
__tag.__get_num_threads());
else
return __sequential_multiway_merge
</* __stable = */ true, /* __sentinels = */ true>
(__seqs_begin, __seqs_end, __target,
*(__seqs_begin->second), __length, __comp);
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length,
_Compare __comp,
parallel_tag __tag = parallel_tag(0))
{
return stable_multiway_merge_sentinels
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
 
// public interface
template<typename _RAIterPairIterator,
typename _RAIterOut,
typename _DifferenceTp,
typename _Compare>
_RAIterOut
stable_multiway_merge_sentinels(_RAIterPairIterator __seqs_begin,
_RAIterPairIterator __seqs_end,
_RAIterOut __target,
_DifferenceTp __length, _Compare __comp,
default_parallel_tag __tag)
{
return stable_multiway_merge_sentinels
(__seqs_begin, __seqs_end, __target, __length, __comp,
exact_tag(__tag.__get_num_threads()));
}
}; // namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_MULTIWAY_MERGE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/multiway_mergesort.h
0,0 → 1,480
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/multiway_mergesort.h
* @brief Parallel multiway merge sort.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_MULTIWAY_MERGESORT_H
#define _GLIBCXX_PARALLEL_MULTIWAY_MERGESORT_H 1
 
#include <vector>
 
#include <parallel/basic_iterator.h>
#include <bits/stl_algo.h>
#include <parallel/parallel.h>
#include <parallel/multiway_merge.h>
 
namespace __gnu_parallel
{
/** @brief Subsequence description. */
template<typename _DifferenceTp>
struct _Piece
{
typedef _DifferenceTp _DifferenceType;
 
/** @brief Begin of subsequence. */
_DifferenceType _M_begin;
 
/** @brief End of subsequence. */
_DifferenceType _M_end;
};
 
/** @brief Data accessed by all threads.
*
* PMWMS = parallel multiway mergesort */
template<typename _RAIter>
struct _PMWMSSortingData
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
/** @brief Number of threads involved. */
_ThreadIndex _M_num_threads;
 
/** @brief Input __begin. */
_RAIter _M_source;
 
/** @brief Start indices, per thread. */
_DifferenceType* _M_starts;
 
/** @brief Storage in which to sort. */
_ValueType** _M_temporary;
 
/** @brief Samples. */
_ValueType* _M_samples;
 
/** @brief Offsets to add to the found positions. */
_DifferenceType* _M_offsets;
 
/** @brief Pieces of data to merge @c [thread][__sequence] */
std::vector<_Piece<_DifferenceType> >* _M_pieces;
};
 
/**
* @brief Select _M_samples from a sequence.
* @param __sd Pointer to algorithm data. _Result will be placed in
* @c __sd->_M_samples.
* @param __num_samples Number of _M_samples to select.
*/
template<typename _RAIter, typename _DifferenceTp>
void
__determine_samples(_PMWMSSortingData<_RAIter>* __sd,
_DifferenceTp __num_samples)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef _DifferenceTp _DifferenceType;
 
_ThreadIndex __iam = omp_get_thread_num();
 
_DifferenceType* __es = new _DifferenceType[__num_samples + 2];
 
__equally_split(__sd->_M_starts[__iam + 1] - __sd->_M_starts[__iam],
__num_samples + 1, __es);
 
for (_DifferenceType __i = 0; __i < __num_samples; ++__i)
::new(&(__sd->_M_samples[__iam * __num_samples + __i]))
_ValueType(__sd->_M_source[__sd->_M_starts[__iam]
+ __es[__i + 1]]);
 
delete[] __es;
}
 
/** @brief Split consistently. */
template<bool __exact, typename _RAIter,
typename _Compare, typename _SortingPlacesIterator>
struct _SplitConsistently
{ };
 
/** @brief Split by exact splitting. */
template<typename _RAIter, typename _Compare,
typename _SortingPlacesIterator>
struct _SplitConsistently<true, _RAIter, _Compare, _SortingPlacesIterator>
{
void
operator()(const _ThreadIndex __iam,
_PMWMSSortingData<_RAIter>* __sd,
_Compare& __comp,
const typename
std::iterator_traits<_RAIter>::difference_type
__num_samples) const
{
# pragma omp barrier
 
std::vector<std::pair<_SortingPlacesIterator,
_SortingPlacesIterator> >
__seqs(__sd->_M_num_threads);
for (_ThreadIndex __s = 0; __s < __sd->_M_num_threads; __s++)
__seqs[__s] = std::make_pair(__sd->_M_temporary[__s],
__sd->_M_temporary[__s]
+ (__sd->_M_starts[__s + 1]
- __sd->_M_starts[__s]));
 
std::vector<_SortingPlacesIterator> __offsets(__sd->_M_num_threads);
 
// if not last thread
if (__iam < __sd->_M_num_threads - 1)
multiseq_partition(__seqs.begin(), __seqs.end(),
__sd->_M_starts[__iam + 1], __offsets.begin(),
__comp);
 
for (_ThreadIndex __seq = 0; __seq < __sd->_M_num_threads; __seq++)
{
// for each sequence
if (__iam < (__sd->_M_num_threads - 1))
__sd->_M_pieces[__iam][__seq]._M_end
= __offsets[__seq] - __seqs[__seq].first;
else
// very end of this sequence
__sd->_M_pieces[__iam][__seq]._M_end =
__sd->_M_starts[__seq + 1] - __sd->_M_starts[__seq];
}
 
# pragma omp barrier
 
for (_ThreadIndex __seq = 0; __seq < __sd->_M_num_threads; __seq++)
{
// For each sequence.
if (__iam > 0)
__sd->_M_pieces[__iam][__seq]._M_begin =
__sd->_M_pieces[__iam - 1][__seq]._M_end;
else
// Absolute beginning.
__sd->_M_pieces[__iam][__seq]._M_begin = 0;
}
}
};
 
/** @brief Split by sampling. */
template<typename _RAIter, typename _Compare,
typename _SortingPlacesIterator>
struct _SplitConsistently<false, _RAIter, _Compare, _SortingPlacesIterator>
{
void
operator()(const _ThreadIndex __iam,
_PMWMSSortingData<_RAIter>* __sd,
_Compare& __comp,
const typename
std::iterator_traits<_RAIter>::difference_type
__num_samples) const
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
__determine_samples(__sd, __num_samples);
 
# pragma omp barrier
 
# pragma omp single
__gnu_sequential::sort(__sd->_M_samples,
__sd->_M_samples
+ (__num_samples * __sd->_M_num_threads),
__comp);
 
# pragma omp barrier
 
for (_ThreadIndex __s = 0; __s < __sd->_M_num_threads; ++__s)
{
// For each sequence.
if (__num_samples * __iam > 0)
__sd->_M_pieces[__iam][__s]._M_begin =
std::lower_bound(__sd->_M_temporary[__s],
__sd->_M_temporary[__s]
+ (__sd->_M_starts[__s + 1]
- __sd->_M_starts[__s]),
__sd->_M_samples[__num_samples * __iam],
__comp)
- __sd->_M_temporary[__s];
else
// Absolute beginning.
__sd->_M_pieces[__iam][__s]._M_begin = 0;
 
if ((__num_samples * (__iam + 1)) <
(__num_samples * __sd->_M_num_threads))
__sd->_M_pieces[__iam][__s]._M_end =
std::lower_bound(__sd->_M_temporary[__s],
__sd->_M_temporary[__s]
+ (__sd->_M_starts[__s + 1]
- __sd->_M_starts[__s]),
__sd->_M_samples[__num_samples * (__iam + 1)],
__comp)
- __sd->_M_temporary[__s];
else
// Absolute end.
__sd->_M_pieces[__iam][__s]._M_end = (__sd->_M_starts[__s + 1]
- __sd->_M_starts[__s]);
}
}
};
template<bool __stable, typename _RAIter, typename _Compare>
struct __possibly_stable_sort
{ };
 
template<typename _RAIter, typename _Compare>
struct __possibly_stable_sort<true, _RAIter, _Compare>
{
void operator()(const _RAIter& __begin,
const _RAIter& __end, _Compare& __comp) const
{ __gnu_sequential::stable_sort(__begin, __end, __comp); }
};
 
template<typename _RAIter, typename _Compare>
struct __possibly_stable_sort<false, _RAIter, _Compare>
{
void operator()(const _RAIter __begin,
const _RAIter __end, _Compare& __comp) const
{ __gnu_sequential::sort(__begin, __end, __comp); }
};
 
template<bool __stable, typename Seq_RAIter,
typename _RAIter, typename _Compare,
typename DiffType>
struct __possibly_stable_multiway_merge
{ };
 
template<typename Seq_RAIter, typename _RAIter,
typename _Compare, typename _DiffType>
struct __possibly_stable_multiway_merge<true, Seq_RAIter,
_RAIter, _Compare, _DiffType>
{
void operator()(const Seq_RAIter& __seqs_begin,
const Seq_RAIter& __seqs_end,
const _RAIter& __target,
_Compare& __comp,
_DiffType __length_am) const
{ stable_multiway_merge(__seqs_begin, __seqs_end, __target,
__length_am, __comp, sequential_tag()); }
};
 
template<typename Seq_RAIter, typename _RAIter,
typename _Compare, typename _DiffType>
struct __possibly_stable_multiway_merge<false, Seq_RAIter,
_RAIter, _Compare, _DiffType>
{
void operator()(const Seq_RAIter& __seqs_begin,
const Seq_RAIter& __seqs_end,
const _RAIter& __target,
_Compare& __comp,
_DiffType __length_am) const
{ multiway_merge(__seqs_begin, __seqs_end, __target, __length_am,
__comp, sequential_tag()); }
};
 
/** @brief PMWMS code executed by each thread.
* @param __sd Pointer to algorithm data.
* @param __comp Comparator.
*/
template<bool __stable, bool __exact, typename _RAIter,
typename _Compare>
void
parallel_sort_mwms_pu(_PMWMSSortingData<_RAIter>* __sd,
_Compare& __comp)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_ThreadIndex __iam = omp_get_thread_num();
 
// Length of this thread's chunk, before merging.
_DifferenceType __length_local =
__sd->_M_starts[__iam + 1] - __sd->_M_starts[__iam];
 
// Sort in temporary storage, leave space for sentinel.
 
typedef _ValueType* _SortingPlacesIterator;
 
__sd->_M_temporary[__iam] =
static_cast<_ValueType*>(::operator new(sizeof(_ValueType)
* (__length_local + 1)));
 
// Copy there.
std::uninitialized_copy(__sd->_M_source + __sd->_M_starts[__iam],
__sd->_M_source + __sd->_M_starts[__iam]
+ __length_local,
__sd->_M_temporary[__iam]);
 
__possibly_stable_sort<__stable, _SortingPlacesIterator, _Compare>()
(__sd->_M_temporary[__iam],
__sd->_M_temporary[__iam] + __length_local,
__comp);
 
// Invariant: locally sorted subsequence in sd->_M_temporary[__iam],
// __sd->_M_temporary[__iam] + __length_local.
 
// No barrier here: Synchronization is done by the splitting routine.
 
_DifferenceType __num_samples =
_Settings::get().sort_mwms_oversampling * __sd->_M_num_threads - 1;
_SplitConsistently<__exact, _RAIter, _Compare, _SortingPlacesIterator>()
(__iam, __sd, __comp, __num_samples);
 
// Offset from __target __begin, __length after merging.
_DifferenceType __offset = 0, __length_am = 0;
for (_ThreadIndex __s = 0; __s < __sd->_M_num_threads; __s++)
{
__length_am += (__sd->_M_pieces[__iam][__s]._M_end
- __sd->_M_pieces[__iam][__s]._M_begin);
__offset += __sd->_M_pieces[__iam][__s]._M_begin;
}
 
typedef std::vector<
std::pair<_SortingPlacesIterator, _SortingPlacesIterator> >
_SeqVector;
_SeqVector __seqs(__sd->_M_num_threads);
 
for (_ThreadIndex __s = 0; __s < __sd->_M_num_threads; ++__s)
{
__seqs[__s] =
std::make_pair(__sd->_M_temporary[__s]
+ __sd->_M_pieces[__iam][__s]._M_begin,
__sd->_M_temporary[__s]
+ __sd->_M_pieces[__iam][__s]._M_end);
}
 
__possibly_stable_multiway_merge<
__stable, typename _SeqVector::iterator,
_RAIter, _Compare, _DifferenceType>()(__seqs.begin(), __seqs.end(),
__sd->_M_source + __offset, __comp,
__length_am);
 
# pragma omp barrier
 
for (_DifferenceType __i = 0; __i < __length_local; ++__i)
__sd->_M_temporary[__iam][__i].~_ValueType();
::operator delete(__sd->_M_temporary[__iam]);
}
 
/** @brief PMWMS main call.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __comp Comparator.
* @param __num_threads Number of threads to use.
*/
template<bool __stable, bool __exact, typename _RAIter,
typename _Compare>
void
parallel_sort_mwms(_RAIter __begin, _RAIter __end,
_Compare __comp,
_ThreadIndex __num_threads)
{
_GLIBCXX_CALL(__end - __begin)
 
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
 
if (__n <= 1)
return;
 
// at least one element per thread
if (__num_threads > __n)
__num_threads = static_cast<_ThreadIndex>(__n);
 
// shared variables
_PMWMSSortingData<_RAIter> __sd;
_DifferenceType* __starts;
_DifferenceType __size;
 
# pragma omp parallel num_threads(__num_threads)
{
__num_threads = omp_get_num_threads(); //no more threads than requested
 
# pragma omp single
{
__sd._M_num_threads = __num_threads;
__sd._M_source = __begin;
__sd._M_temporary = new _ValueType*[__num_threads];
 
if (!__exact)
{
__size =
(_Settings::get().sort_mwms_oversampling * __num_threads - 1)
* __num_threads;
__sd._M_samples = static_cast<_ValueType*>
(::operator new(__size * sizeof(_ValueType)));
}
else
__sd._M_samples = 0;
 
__sd._M_offsets = new _DifferenceType[__num_threads - 1];
__sd._M_pieces
= new std::vector<_Piece<_DifferenceType> >[__num_threads];
for (_ThreadIndex __s = 0; __s < __num_threads; ++__s)
__sd._M_pieces[__s].resize(__num_threads);
__starts = __sd._M_starts = new _DifferenceType[__num_threads + 1];
 
_DifferenceType __chunk_length = __n / __num_threads;
_DifferenceType __split = __n % __num_threads;
_DifferenceType __pos = 0;
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
{
__starts[__i] = __pos;
__pos += ((__i < __split)
? (__chunk_length + 1) : __chunk_length);
}
__starts[__num_threads] = __pos;
} //single
 
// Now sort in parallel.
parallel_sort_mwms_pu<__stable, __exact>(&__sd, __comp);
} //parallel
 
delete[] __starts;
delete[] __sd._M_temporary;
 
if (!__exact)
{
for (_DifferenceType __i = 0; __i < __size; ++__i)
__sd._M_samples[__i].~_ValueType();
::operator delete(__sd._M_samples);
}
 
delete[] __sd._M_offsets;
delete[] __sd._M_pieces;
}
 
} //namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_MULTIWAY_MERGESORT_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/numeric
0,0 → 1,511
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/**
* @file parallel/numeric
*
* @brief Parallel STL function calls corresponding to stl_numeric.h.
* The functions defined here mainly do case switches and
* call the actual parallelized versions in other files.
* Inlining policy: Functions that basically only contain one function call,
* are declared inline.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_NUMERIC_H
#define _GLIBCXX_PARALLEL_NUMERIC_H 1
 
#include <numeric>
#include <bits/stl_function.h>
#include <parallel/numericfwd.h>
#include <parallel/iterator.h>
#include <parallel/for_each.h>
#include <parallel/for_each_selectors.h>
#include <parallel/partial_sum.h>
 
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel
{
// Sequential fallback.
template<typename _IIter, typename _Tp>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::accumulate(__begin, __end, __init); }
 
template<typename _IIter, typename _Tp, typename _BinaryOperation>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init,
_BinaryOperation __binary_op, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::accumulate(__begin, __end, __init, __binary_op); }
 
// Sequential fallback for input iterator case.
template<typename _IIter, typename _Tp, typename _IteratorTag>
inline _Tp
__accumulate_switch(_IIter __begin, _IIter __end,
_Tp __init, _IteratorTag)
{ return accumulate(__begin, __end, __init,
__gnu_parallel::sequential_tag()); }
 
template<typename _IIter, typename _Tp, typename _BinaryOperation,
typename _IteratorTag>
inline _Tp
__accumulate_switch(_IIter __begin, _IIter __end, _Tp __init,
_BinaryOperation __binary_op, _IteratorTag)
{ return accumulate(__begin, __end, __init, __binary_op,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename __RAIter, typename _Tp, typename _BinaryOperation>
_Tp
__accumulate_switch(__RAIter __begin, __RAIter __end,
_Tp __init, _BinaryOperation __binary_op,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().accumulate_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
_Tp __res = __init;
__gnu_parallel::__accumulate_selector<__RAIter>
__my_selector;
__gnu_parallel::
__for_each_template_random_access_ed(__begin, __end,
__gnu_parallel::_Nothing(),
__my_selector,
__gnu_parallel::
__accumulate_binop_reduct
<_BinaryOperation>(__binary_op),
__res, __res, -1);
return __res;
}
else
return accumulate(__begin, __end, __init, __binary_op,
__gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _IIter, typename _Tp>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef std::iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::value_type _ValueType;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
 
return __accumulate_switch(__begin, __end, __init,
__gnu_parallel::_Plus<_Tp, _ValueType>(),
_IteratorCategory(), __parallelism_tag);
}
 
template<typename _IIter, typename _Tp>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init)
{
typedef std::iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::value_type _ValueType;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
 
return __accumulate_switch(__begin, __end, __init,
__gnu_parallel::_Plus<_Tp, _ValueType>(),
_IteratorCategory());
}
 
template<typename _IIter, typename _Tp, typename _BinaryOperation>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init,
_BinaryOperation __binary_op,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __accumulate_switch(__begin, __end, __init, __binary_op,
_IteratorCategory(), __parallelism_tag);
}
 
template<typename _IIter, typename _Tp, typename _BinaryOperation>
inline _Tp
accumulate(_IIter __begin, _IIter __end, _Tp __init,
_BinaryOperation __binary_op)
{
typedef iterator_traits<_IIter> _IteratorTraits;
typedef typename _IteratorTraits::iterator_category _IteratorCategory;
return __accumulate_switch(__begin, __end, __init, __binary_op,
_IteratorCategory());
}
 
 
// Sequential fallback.
template<typename _IIter1, typename _IIter2, typename _Tp>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::inner_product(
__first1, __last1, __first2, __init); }
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init, _BinaryFunction1 __binary_op1,
_BinaryFunction2 __binary_op2,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::inner_product(__first1, __last1, __first2, __init,
__binary_op1, __binary_op2); }
 
// Parallel algorithm for random access iterators.
template<typename _RAIter1, typename _RAIter2,
typename _Tp, typename _BinaryFunction1, typename _BinaryFunction2>
_Tp
__inner_product_switch(_RAIter1 __first1,
_RAIter1 __last1,
_RAIter2 __first2, _Tp __init,
_BinaryFunction1 __binary_op1,
_BinaryFunction2 __binary_op2,
random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION((__last1 - __first1)
>= __gnu_parallel::_Settings::get().
accumulate_minimal_n
&& __gnu_parallel::
__is_parallel(__parallelism_tag)))
{
_Tp __res = __init;
__gnu_parallel::
__inner_product_selector<_RAIter1,
_RAIter2, _Tp> __my_selector(__first1, __first2);
__gnu_parallel::
__for_each_template_random_access_ed(
__first1, __last1, __binary_op2, __my_selector, __binary_op1,
__res, __res, -1);
return __res;
}
else
return inner_product(__first1, __last1, __first2, __init,
__gnu_parallel::sequential_tag());
}
 
// No parallelism for input iterators.
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2,
typename _IteratorTag1, typename _IteratorTag2>
inline _Tp
__inner_product_switch(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init,
_BinaryFunction1 __binary_op1,
_BinaryFunction2 __binary_op2,
_IteratorTag1, _IteratorTag2)
{ return inner_product(__first1, __last1, __first2, __init, __binary_op1,
__binary_op2, __gnu_parallel::sequential_tag()); }
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init, _BinaryFunction1 __binary_op1,
_BinaryFunction2 __binary_op2,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::iterator_category _IteratorCategory1;
 
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::iterator_category _IteratorCategory2;
 
return __inner_product_switch(__first1, __last1, __first2, __init,
__binary_op1, __binary_op2,
_IteratorCategory1(), _IteratorCategory2(),
__parallelism_tag);
}
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init, _BinaryFunction1 __binary_op1,
_BinaryFunction2 __binary_op2)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::iterator_category _IteratorCategory1;
 
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::iterator_category _IteratorCategory2;
 
return __inner_product_switch(__first1, __last1, __first2, __init,
__binary_op1, __binary_op2,
_IteratorCategory1(),
_IteratorCategory2());
}
 
template<typename _IIter1, typename _IIter2, typename _Tp>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::value_type _ValueType1;
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::value_type _ValueType2;
 
typedef typename
__gnu_parallel::_Multiplies<_ValueType1, _ValueType2>::result_type
_MultipliesResultType;
return __gnu_parallel::inner_product(__first1, __last1, __first2, __init,
__gnu_parallel::_Plus<_Tp, _MultipliesResultType>(),
__gnu_parallel::
_Multiplies<_ValueType1, _ValueType2>(),
__parallelism_tag);
}
 
template<typename _IIter1, typename _IIter2, typename _Tp>
inline _Tp
inner_product(_IIter1 __first1, _IIter1 __last1,
_IIter2 __first2, _Tp __init)
{
typedef iterator_traits<_IIter1> _TraitsType1;
typedef typename _TraitsType1::value_type _ValueType1;
typedef iterator_traits<_IIter2> _TraitsType2;
typedef typename _TraitsType2::value_type _ValueType2;
 
typedef typename
__gnu_parallel::_Multiplies<_ValueType1, _ValueType2>::result_type
_MultipliesResultType;
return __gnu_parallel::inner_product(__first1, __last1, __first2, __init,
__gnu_parallel::_Plus<_Tp, _MultipliesResultType>(),
__gnu_parallel::
_Multiplies<_ValueType1, _ValueType2>());
}
 
// Sequential fallback.
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
partial_sum(_IIter __begin, _IIter __end, _OutputIterator __result,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::partial_sum(__begin, __end, __result); }
 
// Sequential fallback.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
inline _OutputIterator
partial_sum(_IIter __begin, _IIter __end, _OutputIterator __result,
_BinaryOperation __bin_op, __gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::partial_sum(__begin, __end, __result, __bin_op); }
 
// Sequential fallback for input iterator case.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation, typename _IteratorTag1,
typename _IteratorTag2>
inline _OutputIterator
__partial_sum_switch(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __bin_op,
_IteratorTag1, _IteratorTag2)
{ return _GLIBCXX_STD_A::partial_sum(__begin, __end, __result, __bin_op); }
 
// Parallel algorithm for random access iterators.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
_OutputIterator
__partial_sum_switch(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __bin_op,
random_access_iterator_tag,
random_access_iterator_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().partial_sum_minimal_n))
return __gnu_parallel::__parallel_partial_sum(__begin, __end,
__result, __bin_op);
else
return partial_sum(__begin, __end, __result, __bin_op,
__gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
partial_sum(_IIter __begin, _IIter __end, _OutputIterator __result)
{
typedef typename iterator_traits<_IIter>::value_type _ValueType;
return __gnu_parallel::partial_sum(__begin, __end,
__result, std::plus<_ValueType>());
}
 
// Public interface
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
inline _OutputIterator
partial_sum(_IIter __begin, _IIter __end, _OutputIterator __result,
_BinaryOperation __binary_op)
{
typedef iterator_traits<_IIter> _ITraitsType;
typedef typename _ITraitsType::iterator_category _IIteratorCategory;
 
typedef iterator_traits<_OutputIterator> _OTraitsType;
typedef typename _OTraitsType::iterator_category _OIterCategory;
 
return __partial_sum_switch(__begin, __end, __result, __binary_op,
_IIteratorCategory(), _OIterCategory());
}
 
// Sequential fallback.
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end, _OutputIterator __result,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::adjacent_difference(__begin, __end, __result); }
 
// Sequential fallback.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __bin_op,
__gnu_parallel::sequential_tag)
{ return _GLIBCXX_STD_A::adjacent_difference(__begin, __end,
__result, __bin_op); }
 
// Sequential fallback for input iterator case.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation, typename _IteratorTag1,
typename _IteratorTag2>
inline _OutputIterator
__adjacent_difference_switch(_IIter __begin, _IIter __end,
_OutputIterator __result,
_BinaryOperation __bin_op, _IteratorTag1,
_IteratorTag2)
{ return adjacent_difference(__begin, __end, __result, __bin_op,
__gnu_parallel::sequential_tag()); }
 
// Parallel algorithm for random access iterators.
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
_OutputIterator
__adjacent_difference_switch(_IIter __begin, _IIter __end,
_OutputIterator __result,
_BinaryOperation __bin_op,
random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism
__parallelism_tag)
{
if (_GLIBCXX_PARALLEL_CONDITION(
static_cast<__gnu_parallel::_SequenceIndex>(__end - __begin)
>= __gnu_parallel::_Settings::get().adjacent_difference_minimal_n
&& __gnu_parallel::__is_parallel(__parallelism_tag)))
{
bool __dummy = true;
typedef __gnu_parallel::_IteratorPair<_IIter, _OutputIterator,
random_access_iterator_tag> _ItTrip;
*__result = *__begin;
_ItTrip __begin_pair(__begin + 1, __result + 1),
__end_pair(__end, __result + (__end - __begin));
__gnu_parallel::__adjacent_difference_selector<_ItTrip>
__functionality;
__gnu_parallel::
__for_each_template_random_access_ed(
__begin_pair, __end_pair, __bin_op, __functionality,
__gnu_parallel::_DummyReduct(), __dummy, __dummy, -1);
return __functionality._M_finish_iterator;
}
else
return adjacent_difference(__begin, __end, __result, __bin_op,
__gnu_parallel::sequential_tag());
}
 
// Public interface.
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end,
_OutputIterator __result,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
return adjacent_difference(__begin, __end, __result,
std::minus<_ValueType>(),
__parallelism_tag);
}
 
template<typename _IIter, typename _OutputIterator>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end,
_OutputIterator __result)
{
typedef iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
return adjacent_difference(__begin, __end, __result,
std::minus<_ValueType>());
}
 
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __binary_op,
__gnu_parallel::_Parallelism __parallelism_tag)
{
typedef iterator_traits<_IIter> _ITraitsType;
typedef typename _ITraitsType::iterator_category _IIteratorCategory;
 
typedef iterator_traits<_OutputIterator> _OTraitsType;
typedef typename _OTraitsType::iterator_category _OIterCategory;
 
return __adjacent_difference_switch(__begin, __end, __result,
__binary_op,
_IIteratorCategory(),
_OIterCategory(),
__parallelism_tag);
}
 
template<typename _IIter, typename _OutputIterator,
typename _BinaryOperation>
inline _OutputIterator
adjacent_difference(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __binary_op)
{
typedef iterator_traits<_IIter> _ITraitsType;
typedef typename _ITraitsType::iterator_category _IIteratorCategory;
 
typedef iterator_traits<_OutputIterator> _OTraitsType;
typedef typename _OTraitsType::iterator_category _OIterCategory;
 
return __adjacent_difference_switch(__begin, __end, __result,
__binary_op,
_IIteratorCategory(),
_OIterCategory());
}
} // end namespace
} // end namespace
 
#endif /* _GLIBCXX_NUMERIC_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/numericfwd.h
0,0 → 1,203
// <parallel/numeric> Forward declarations -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/numericfwd.h
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
#ifndef _GLIBCXX_PARALLEL_NUMERICFWD_H
#define _GLIBCXX_PARALLEL_NUMERICFWD_H 1
 
#pragma GCC system_header
 
#include <parallel/tags.h>
#include <parallel/settings.h>
 
namespace std _GLIBCXX_VISIBILITY(default)
{
namespace __parallel
{
template<typename _IIter, typename _Tp>
_Tp
accumulate(_IIter, _IIter, _Tp);
 
template<typename _IIter, typename _Tp>
_Tp
accumulate(_IIter, _IIter, _Tp, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Tp>
_Tp
accumulate(_IIter, _IIter, _Tp, __gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _Tp, typename _Tag>
_Tp
__accumulate_switch(_IIter, _IIter, _Tp, _Tag);
 
template<typename _IIter, typename _Tp, typename _BinaryOper>
_Tp
accumulate(_IIter, _IIter, _Tp, _BinaryOper);
 
template<typename _IIter, typename _Tp, typename _BinaryOper>
_Tp
accumulate(_IIter, _IIter, _Tp, _BinaryOper,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _Tp, typename _BinaryOper>
_Tp
accumulate(_IIter, _IIter, _Tp, _BinaryOper,
__gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _Tp, typename _BinaryOper,
typename _Tag>
_Tp
__accumulate_switch(_IIter, _IIter, _Tp, _BinaryOper, _Tag);
 
template<typename _RAIter, typename _Tp, typename _BinaryOper>
_Tp
__accumulate_switch(_RAIter, _RAIter, _Tp, _BinaryOper,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_unbalanced);
 
template<typename _IIter, typename _OIter>
_OIter
adjacent_difference(_IIter, _IIter, _OIter);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
adjacent_difference(_IIter, _IIter, _OIter, _BinaryOper);
 
template<typename _IIter, typename _OIter>
_OIter
adjacent_difference(_IIter, _IIter, _OIter,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
adjacent_difference(_IIter, _IIter, _OIter, _BinaryOper,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter>
_OIter
adjacent_difference(_IIter, _IIter, _OIter,
__gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
adjacent_difference(_IIter, _IIter, _OIter, _BinaryOper,
__gnu_parallel::_Parallelism);
 
template<typename _IIter, typename _OIter, typename _BinaryOper,
typename _Tag1, typename _Tag2>
_OIter
__adjacent_difference_switch(_IIter, _IIter, _OIter, _BinaryOper,
_Tag1, _Tag2);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
__adjacent_difference_switch(_IIter, _IIter, _OIter, _BinaryOper,
random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism __parallelism
= __gnu_parallel::parallel_unbalanced);
 
template<typename _IIter1, typename _IIter2, typename _Tp>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp);
 
template<typename _IIter1, typename _IIter2, typename _Tp>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp,
__gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _Tp>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp,
__gnu_parallel::_Parallelism);
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp,
_BinaryFunction1, _BinaryFunction2);
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp, _BinaryFunction1,
_BinaryFunction2, __gnu_parallel::sequential_tag);
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename BinaryFunction1, typename BinaryFunction2>
_Tp
inner_product(_IIter1, _IIter1, _IIter2, _Tp, BinaryFunction1,
BinaryFunction2, __gnu_parallel::_Parallelism);
 
template<typename _RAIter1, typename _RAIter2, typename _Tp,
typename BinaryFunction1, typename BinaryFunction2>
_Tp
__inner_product_switch(_RAIter1, _RAIter1, _RAIter2, _Tp, BinaryFunction1,
BinaryFunction2, random_access_iterator_tag,
random_access_iterator_tag,
__gnu_parallel::_Parallelism
= __gnu_parallel::parallel_unbalanced);
 
template<typename _IIter1, typename _IIter2, typename _Tp,
typename _BinaryFunction1, typename _BinaryFunction2,
typename _Tag1, typename _Tag2>
_Tp
__inner_product_switch(_IIter1, _IIter1, _IIter2, _Tp, _BinaryFunction1,
_BinaryFunction2, _Tag1, _Tag2);
 
 
template<typename _IIter, typename _OIter>
_OIter
partial_sum(_IIter, _IIter, _OIter, __gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
partial_sum(_IIter, _IIter, _OIter, _BinaryOper,
__gnu_parallel::sequential_tag);
 
template<typename _IIter, typename _OIter>
_OIter
partial_sum(_IIter, _IIter, _OIter __result);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
partial_sum(_IIter, _IIter, _OIter, _BinaryOper);
 
template<typename _IIter, typename _OIter, typename _BinaryOper,
typename _Tag1, typename _Tag2>
_OIter
__partial_sum_switch(_IIter, _IIter, _OIter, _BinaryOper, _Tag1, _Tag2);
 
template<typename _IIter, typename _OIter, typename _BinaryOper>
_OIter
__partial_sum_switch(_IIter, _IIter, _OIter, _BinaryOper,
random_access_iterator_tag, random_access_iterator_tag);
} // end namespace
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_NUMERICFWD_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/omp_loop.h
0,0 → 1,115
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/omp_loop.h
* @brief Parallelization of embarrassingly parallel execution by
* means of an OpenMP for loop.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_OMP_LOOP_H
#define _GLIBCXX_PARALLEL_OMP_LOOP_H 1
 
#include <omp.h>
 
#include <parallel/settings.h>
#include <parallel/basic_iterator.h>
#include <parallel/base.h>
 
namespace __gnu_parallel
{
/** @brief Embarrassingly parallel algorithm for random access
* iterators, using an OpenMP for loop.
*
* @param __begin Begin iterator of element sequence.
* @param __end End iterator of element sequence.
* @param __o User-supplied functor (comparator, predicate, adding
* functor, etc.).
* @param __f Functor to @a process an element with __op (depends on
* desired functionality, e. g. for std::for_each(), ...).
* @param __r Functor to @a add a single __result to the already
* processed elements (depends on functionality).
* @param __base Base value for reduction.
* @param __output Pointer to position where final result is written to
* @param __bound Maximum number of elements processed (e. g. for
* std::count_n()).
* @return User-supplied functor (that may contain a part of the result).
*/
template<typename _RAIter,
typename _Op,
typename _Fu,
typename _Red,
typename _Result>
_Op
__for_each_template_random_access_omp_loop(_RAIter __begin, _RAIter __end,
_Op __o, _Fu& __f, _Red __r,
_Result __base,
_Result& __output,
typename std::iterator_traits<_RAIter>::difference_type __bound)
{
typedef typename std::iterator_traits<_RAIter>::difference_type
_DifferenceType;
 
_DifferenceType __length = __end - __begin;
_ThreadIndex __num_threads = __gnu_parallel::min<_DifferenceType>
(__get_max_threads(), __length);
 
_Result *__thread_results;
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__thread_results = new _Result[__num_threads];
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__thread_results[__i] = _Result();
}
 
_ThreadIndex __iam = omp_get_thread_num();
 
#pragma omp for schedule(dynamic, _Settings::get().workstealing_chunk_size)
for (_DifferenceType __pos = 0; __pos < __length; ++__pos)
__thread_results[__iam] = __r(__thread_results[__iam],
__f(__o, __begin+__pos));
} //parallel
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__output = __r(__output, __thread_results[__i]);
 
delete [] __thread_results;
 
// Points to last element processed (needed as return value for
// some algorithms like transform).
__f._M_finish_iterator = __begin + __length;
 
return __o;
}
 
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_OMP_LOOP_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/omp_loop_static.h
0,0 → 1,115
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/omp_loop_static.h
* @brief Parallelization of embarrassingly parallel execution by
* means of an OpenMP for loop with static scheduling.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_OMP_LOOP_STATIC_H
#define _GLIBCXX_PARALLEL_OMP_LOOP_STATIC_H 1
 
#include <omp.h>
 
#include <parallel/settings.h>
#include <parallel/basic_iterator.h>
 
namespace __gnu_parallel
{
/** @brief Embarrassingly parallel algorithm for random access
* iterators, using an OpenMP for loop with static scheduling.
*
* @param __begin Begin iterator of element sequence.
* @param __end End iterator of element sequence.
* @param __o User-supplied functor (comparator, predicate, adding
* functor, ...).
* @param __f Functor to @a process an element with __op (depends on
* desired functionality, e. g. for std::for_each(), ...).
* @param __r Functor to @a add a single __result to the already processed
* __elements (depends on functionality).
* @param __base Base value for reduction.
* @param __output Pointer to position where final result is written to
* @param __bound Maximum number of elements processed (e. g. for
* std::count_n()).
* @return User-supplied functor (that may contain a part of the result).
*/
template<typename _RAIter,
typename _Op,
typename _Fu,
typename _Red,
typename _Result>
_Op
__for_each_template_random_access_omp_loop_static(_RAIter __begin,
_RAIter __end, _Op __o,
_Fu& __f, _Red __r,
_Result __base,
_Result& __output,
typename std::iterator_traits<_RAIter>::difference_type __bound)
{
typedef typename std::iterator_traits<_RAIter>::difference_type
_DifferenceType;
 
_DifferenceType __length = __end - __begin;
_ThreadIndex __num_threads = std::min<_DifferenceType>
(__get_max_threads(), __length);
 
_Result *__thread_results;
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__thread_results = new _Result[__num_threads];
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__thread_results[__i] = _Result();
}
 
_ThreadIndex __iam = omp_get_thread_num();
 
#pragma omp for schedule(static, _Settings::get().workstealing_chunk_size)
for (_DifferenceType __pos = 0; __pos < __length; ++__pos)
__thread_results[__iam] = __r(__thread_results[__iam],
__f(__o, __begin+__pos));
} //parallel
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__output = __r(__output, __thread_results[__i]);
 
delete [] __thread_results;
 
// Points to last element processed (needed as return value for
// some algorithms like transform).
__f.finish_iterator = __begin + __length;
 
return __o;
}
 
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_OMP_LOOP_STATIC_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/par_loop.h
0,0 → 1,139
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/par_loop.h
* @brief Parallelization of embarrassingly parallel execution by
* means of equal splitting.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_PAR_LOOP_H
#define _GLIBCXX_PARALLEL_PAR_LOOP_H 1
 
#include <omp.h>
#include <parallel/settings.h>
#include <parallel/base.h>
#include <parallel/equally_split.h>
 
namespace __gnu_parallel
{
/** @brief Embarrassingly parallel algorithm for random access
* iterators, using hand-crafted parallelization by equal splitting
* the work.
*
* @param __begin Begin iterator of element sequence.
* @param __end End iterator of element sequence.
* @param __o User-supplied functor (comparator, predicate, adding
* functor, ...)
* @param __f Functor to "process" an element with __op (depends on
* desired functionality, e. g. for std::for_each(), ...).
* @param __r Functor to "add" a single __result to the already
* processed elements (depends on functionality).
* @param __base Base value for reduction.
* @param __output Pointer to position where final result is written to
* @param __bound Maximum number of elements processed (e. g. for
* std::count_n()).
* @return User-supplied functor (that may contain a part of the result).
*/
template<typename _RAIter,
typename _Op,
typename _Fu,
typename _Red,
typename _Result>
_Op
__for_each_template_random_access_ed(_RAIter __begin, _RAIter __end,
_Op __o, _Fu& __f, _Red __r,
_Result __base, _Result& __output,
typename std::iterator_traits<_RAIter>::difference_type __bound)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
const _DifferenceType __length = __end - __begin;
_Result *__thread_results;
bool* __constructed;
 
_ThreadIndex __num_threads = __gnu_parallel::min<_DifferenceType>
(__get_max_threads(), __length);
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__thread_results = static_cast<_Result*>
(::operator new(__num_threads * sizeof(_Result)));
__constructed = new bool[__num_threads];
}
 
_ThreadIndex __iam = omp_get_thread_num();
 
// Neutral element.
_Result* __reduct;
 
_DifferenceType
__start = __equally_split_point(__length, __num_threads, __iam),
__stop = __equally_split_point(__length, __num_threads, __iam + 1);
 
if (__start < __stop)
{
__reduct = new _Result(__f(__o, __begin + __start));
++__start;
__constructed[__iam] = true;
}
else
__constructed[__iam] = false;
 
for (; __start < __stop; ++__start)
*__reduct = __r(*__reduct, __f(__o, __begin + __start));
 
if (__constructed[__iam])
{
::new(&__thread_results[__iam]) _Result(*__reduct);
delete __reduct;
}
} //parallel
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
if (__constructed[__i])
{
__output = __r(__output, __thread_results[__i]);
__thread_results[__i].~_Result();
}
 
// Points to last element processed (needed as return value for
// some algorithms like transform).
__f._M_finish_iterator = __begin + __length;
 
::operator delete(__thread_results);
 
delete[] __constructed;
 
return __o;
}
 
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_PAR_LOOP_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/parallel.h
0,0 → 1,42
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/parallel.h
* @brief End-user include file. Provides advanced settings and
* tuning options.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze and Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_PARALLEL_H
#define _GLIBCXX_PARALLEL_PARALLEL_H 1
 
#include <parallel/features.h>
#include <parallel/compiletime_settings.h>
#include <parallel/types.h>
#include <parallel/tags.h>
#include <parallel/settings.h>
 
#endif /* _GLIBCXX_PARALLEL_PARALLEL_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/partial_sum.h
0,0 → 1,230
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/partial_sum.h
* @brief Parallel implementation of std::partial_sum(), i.e. prefix
* sums.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_PARTIAL_SUM_H
#define _GLIBCXX_PARALLEL_PARTIAL_SUM_H 1
 
#include <omp.h>
#include <new>
#include <bits/stl_algobase.h>
#include <parallel/parallel.h>
#include <parallel/numericfwd.h>
 
namespace __gnu_parallel
{
// Problem: there is no 0-element given.
 
/** @brief Base case prefix sum routine.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __result Begin iterator of output sequence.
* @param __bin_op Associative binary function.
* @param __value Start value. Must be passed since the neutral
* element is unknown in general.
* @return End iterator of output sequence. */
template<typename _IIter,
typename _OutputIterator,
typename _BinaryOperation>
_OutputIterator
__parallel_partial_sum_basecase(_IIter __begin, _IIter __end,
_OutputIterator __result,
_BinaryOperation __bin_op,
typename std::iterator_traits <_IIter>::value_type __value)
{
if (__begin == __end)
return __result;
 
while (__begin != __end)
{
__value = __bin_op(__value, *__begin);
*__result = __value;
++__result;
++__begin;
}
return __result;
}
 
/** @brief Parallel partial sum implementation, two-phase approach,
no recursion.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __result Begin iterator of output sequence.
* @param __bin_op Associative binary function.
* @param __n Length of sequence.
* @return End iterator of output sequence.
*/
template<typename _IIter,
typename _OutputIterator,
typename _BinaryOperation>
_OutputIterator
__parallel_partial_sum_linear(_IIter __begin, _IIter __end,
_OutputIterator __result,
_BinaryOperation __bin_op,
typename std::iterator_traits<_IIter>::difference_type __n)
{
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
if (__begin == __end)
return __result;
 
_ThreadIndex __num_threads =
std::min<_DifferenceType>(__get_max_threads(), __n - 1);
 
if (__num_threads < 2)
{
*__result = *__begin;
return __parallel_partial_sum_basecase(__begin + 1, __end,
__result + 1, __bin_op,
*__begin);
}
 
_DifferenceType* __borders;
_ValueType* __sums;
 
const _Settings& __s = _Settings::get();
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__borders = new _DifferenceType[__num_threads + 2];
 
if (__s.partial_sum_dilation == 1.0f)
__equally_split(__n, __num_threads + 1, __borders);
else
{
_DifferenceType __first_part_length =
std::max<_DifferenceType>(1,
__n / (1.0f + __s.partial_sum_dilation * __num_threads));
_DifferenceType __chunk_length =
(__n - __first_part_length) / __num_threads;
_DifferenceType __borderstart =
__n - __num_threads * __chunk_length;
__borders[0] = 0;
for (_ThreadIndex __i = 1; __i < (__num_threads + 1); ++__i)
{
__borders[__i] = __borderstart;
__borderstart += __chunk_length;
}
__borders[__num_threads + 1] = __n;
}
 
__sums = static_cast<_ValueType*>(::operator new(sizeof(_ValueType)
* __num_threads));
_OutputIterator __target_end;
} //single
 
_ThreadIndex __iam = omp_get_thread_num();
if (__iam == 0)
{
*__result = *__begin;
__parallel_partial_sum_basecase(__begin + 1,
__begin + __borders[1],
__result + 1,
__bin_op, *__begin);
::new(&(__sums[__iam])) _ValueType(*(__result + __borders[1] - 1));
}
else
{
::new(&(__sums[__iam]))
_ValueType(__gnu_parallel::accumulate(
__begin + __borders[__iam] + 1,
__begin + __borders[__iam + 1],
*(__begin + __borders[__iam]),
__bin_op,
__gnu_parallel::sequential_tag()));
}
 
# pragma omp barrier
 
# pragma omp single
__parallel_partial_sum_basecase(__sums + 1, __sums + __num_threads,
__sums + 1, __bin_op, __sums[0]);
 
# pragma omp barrier
 
// Still same team.
__parallel_partial_sum_basecase(__begin + __borders[__iam + 1],
__begin + __borders[__iam + 2],
__result + __borders[__iam + 1],
__bin_op, __sums[__iam]);
} //parallel
 
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__sums[__i].~_ValueType();
::operator delete(__sums);
 
delete[] __borders;
 
return __result + __n;
}
 
/** @brief Parallel partial sum front-__end.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __result Begin iterator of output sequence.
* @param __bin_op Associative binary function.
* @return End iterator of output sequence. */
template<typename _IIter,
typename _OutputIterator,
typename _BinaryOperation>
_OutputIterator
__parallel_partial_sum(_IIter __begin, _IIter __end,
_OutputIterator __result, _BinaryOperation __bin_op)
{
_GLIBCXX_CALL(__begin - __end)
 
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
 
switch (_Settings::get().partial_sum_algorithm)
{
case LINEAR:
// Need an initial offset.
return __parallel_partial_sum_linear(__begin, __end, __result,
__bin_op, __n);
default:
// Partial_sum algorithm not implemented.
_GLIBCXX_PARALLEL_ASSERT(0);
return __result + __n;
}
}
}
 
#endif /* _GLIBCXX_PARALLEL_PARTIAL_SUM_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/partition.h
0,0 → 1,434
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/partition.h
* @brief Parallel implementation of std::partition(),
* std::nth_element(), and std::partial_sort().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_PARTITION_H
#define _GLIBCXX_PARALLEL_PARTITION_H 1
 
#include <parallel/basic_iterator.h>
#include <parallel/sort.h>
#include <parallel/random_number.h>
#include <bits/stl_algo.h>
#include <parallel/parallel.h>
 
/** @brief Decide whether to declare certain variables volatile. */
#define _GLIBCXX_VOLATILE volatile
 
namespace __gnu_parallel
{
/** @brief Parallel implementation of std::partition.
* @param __begin Begin iterator of input sequence to split.
* @param __end End iterator of input sequence to split.
* @param __pred Partition predicate, possibly including some kind
* of pivot.
* @param __num_threads Maximum number of threads to use for this task.
* @return Number of elements not fulfilling the predicate. */
template<typename _RAIter, typename _Predicate>
typename std::iterator_traits<_RAIter>::difference_type
__parallel_partition(_RAIter __begin, _RAIter __end,
_Predicate __pred, _ThreadIndex __num_threads)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
 
_GLIBCXX_CALL(__n)
 
const _Settings& __s = _Settings::get();
 
// shared
_GLIBCXX_VOLATILE _DifferenceType __left = 0, __right = __n - 1,
__dist = __n,
__leftover_left, __leftover_right,
__leftnew, __rightnew;
 
// just 0 or 1, but int to allow atomic operations
int* __reserved_left = 0, * __reserved_right = 0;
 
_DifferenceType __chunk_size = __s.partition_chunk_size;
 
//at least two chunks per thread
if (__dist >= 2 * __num_threads * __chunk_size)
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__reserved_left = new int[__num_threads];
__reserved_right = new int[__num_threads];
 
if (__s.partition_chunk_share > 0.0)
__chunk_size = std::max<_DifferenceType>
(__s.partition_chunk_size, (double)__n
* __s.partition_chunk_share / (double)__num_threads);
else
__chunk_size = __s.partition_chunk_size;
}
 
while (__dist >= 2 * __num_threads * __chunk_size)
{
# pragma omp single
{
_DifferenceType __num_chunks = __dist / __chunk_size;
 
for (_ThreadIndex __r = 0; __r < __num_threads; ++__r)
{
__reserved_left [__r] = 0; // false
__reserved_right[__r] = 0; // false
}
__leftover_left = 0;
__leftover_right = 0;
} //implicit barrier
 
// Private.
_DifferenceType __thread_left, __thread_left_border,
__thread_right, __thread_right_border;
 
__thread_left = __left + 1;
// Just to satisfy the condition below.
__thread_left_border = __thread_left - 1;
 
__thread_right = __n - 1;
// Just to satisfy the condition below.
__thread_right_border = __thread_right + 1;
 
bool __iam_finished = false;
while (!__iam_finished)
{
if (__thread_left > __thread_left_border)
{
_DifferenceType __former_dist =
__fetch_and_add(&__dist, -__chunk_size);
if (__former_dist < __chunk_size)
{
__fetch_and_add(&__dist, __chunk_size);
__iam_finished = true;
break;
}
else
{
__thread_left =
__fetch_and_add(&__left, __chunk_size);
__thread_left_border =
__thread_left + (__chunk_size - 1);
}
}
 
if (__thread_right < __thread_right_border)
{
_DifferenceType __former_dist =
__fetch_and_add(&__dist, -__chunk_size);
if (__former_dist < __chunk_size)
{
__fetch_and_add(&__dist, __chunk_size);
__iam_finished = true;
break;
}
else
{
__thread_right =
__fetch_and_add(&__right, -__chunk_size);
__thread_right_border =
__thread_right - (__chunk_size - 1);
}
}
 
// Swap as usual.
while (__thread_left < __thread_right)
{
while (__pred(__begin[__thread_left])
&& __thread_left <= __thread_left_border)
++__thread_left;
while (!__pred(__begin[__thread_right])
&& __thread_right >= __thread_right_border)
--__thread_right;
 
if (__thread_left > __thread_left_border
|| __thread_right < __thread_right_border)
// Fetch new chunk(__s).
break;
 
std::iter_swap(__begin + __thread_left,
__begin + __thread_right);
++__thread_left;
--__thread_right;
}
}
 
// Now swap the leftover chunks to the right places.
if (__thread_left <= __thread_left_border)
# pragma omp atomic
++__leftover_left;
if (__thread_right >= __thread_right_border)
# pragma omp atomic
++__leftover_right;
 
# pragma omp barrier
 
_DifferenceType
__leftold = __left,
__leftnew = __left - __leftover_left * __chunk_size,
__rightold = __right,
__rightnew = __right + __leftover_right * __chunk_size;
 
// <=> __thread_left_border + (__chunk_size - 1) >= __leftnew
if (__thread_left <= __thread_left_border
&& __thread_left_border >= __leftnew)
{
// Chunk already in place, reserve spot.
__reserved_left[(__left - (__thread_left_border + 1))
/ __chunk_size] = 1;
}
 
// <=> __thread_right_border - (__chunk_size - 1) <= __rightnew
if (__thread_right >= __thread_right_border
&& __thread_right_border <= __rightnew)
{
// Chunk already in place, reserve spot.
__reserved_right[((__thread_right_border - 1) - __right)
/ __chunk_size] = 1;
}
 
# pragma omp barrier
 
if (__thread_left <= __thread_left_border
&& __thread_left_border < __leftnew)
{
// Find spot and swap.
_DifferenceType __swapstart = -1;
for (int __r = 0; __r < __leftover_left; ++__r)
if (__reserved_left[__r] == 0
&& __compare_and_swap(&(__reserved_left[__r]), 0, 1))
{
__swapstart = __leftold - (__r + 1) * __chunk_size;
break;
}
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__swapstart != -1);
#endif
 
std::swap_ranges(__begin + __thread_left_border
- (__chunk_size - 1),
__begin + __thread_left_border + 1,
__begin + __swapstart);
}
 
if (__thread_right >= __thread_right_border
&& __thread_right_border > __rightnew)
{
// Find spot and swap
_DifferenceType __swapstart = -1;
for (int __r = 0; __r < __leftover_right; ++__r)
if (__reserved_right[__r] == 0
&& __compare_and_swap(&(__reserved_right[__r]), 0, 1))
{
__swapstart = __rightold + __r * __chunk_size + 1;
break;
}
 
#if _GLIBCXX_ASSERTIONS
_GLIBCXX_PARALLEL_ASSERT(__swapstart != -1);
#endif
 
std::swap_ranges(__begin + __thread_right_border,
__begin + __thread_right_border
+ __chunk_size, __begin + __swapstart);
}
#if _GLIBCXX_ASSERTIONS
# pragma omp barrier
 
# pragma omp single
{
for (_DifferenceType __r = 0; __r < __leftover_left; ++__r)
_GLIBCXX_PARALLEL_ASSERT(__reserved_left[__r] == 1);
for (_DifferenceType __r = 0; __r < __leftover_right; ++__r)
_GLIBCXX_PARALLEL_ASSERT(__reserved_right[__r] == 1);
}
#endif
 
__left = __leftnew;
__right = __rightnew;
__dist = __right - __left + 1;
}
 
# pragma omp flush(__left, __right)
} // end "recursion" //parallel
 
_DifferenceType __final_left = __left, __final_right = __right;
 
while (__final_left < __final_right)
{
// Go right until key is geq than pivot.
while (__pred(__begin[__final_left])
&& __final_left < __final_right)
++__final_left;
 
// Go left until key is less than pivot.
while (!__pred(__begin[__final_right])
&& __final_left < __final_right)
--__final_right;
 
if (__final_left == __final_right)
break;
std::iter_swap(__begin + __final_left, __begin + __final_right);
++__final_left;
--__final_right;
}
 
// All elements on the left side are < piv, all elements on the
// right are >= piv
delete[] __reserved_left;
delete[] __reserved_right;
 
// Element "between" __final_left and __final_right might not have
// been regarded yet
if (__final_left < __n && !__pred(__begin[__final_left]))
// Really swapped.
return __final_left;
else
return __final_left + 1;
}
 
/**
* @brief Parallel implementation of std::nth_element().
* @param __begin Begin iterator of input sequence.
* @param __nth _Iterator of element that must be in position afterwards.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
*/
template<typename _RAIter, typename _Compare>
void
__parallel_nth_element(_RAIter __begin, _RAIter __nth,
_RAIter __end, _Compare __comp)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_GLIBCXX_CALL(__end - __begin)
 
_RAIter __split;
_RandomNumber __rng;
 
const _Settings& __s = _Settings::get();
_DifferenceType __minimum_length = std::max<_DifferenceType>(2,
std::max(__s.nth_element_minimal_n, __s.partition_minimal_n));
 
// Break if input range to small.
while (static_cast<_SequenceIndex>(__end - __begin) >= __minimum_length)
{
_DifferenceType __n = __end - __begin;
 
_RAIter __pivot_pos = __begin + __rng(__n);
 
// Swap __pivot_pos value to end.
if (__pivot_pos != (__end - 1))
std::iter_swap(__pivot_pos, __end - 1);
__pivot_pos = __end - 1;
 
// _Compare must have first_value_type, second_value_type,
// result_type
// _Compare ==
// __gnu_parallel::_Lexicographic<S, int,
// __gnu_parallel::_Less<S, S> >
// __pivot_pos == std::pair<S, int>*
__gnu_parallel::__binder2nd<_Compare, _ValueType, _ValueType, bool>
__pred(__comp, *__pivot_pos);
 
// Divide, leave pivot unchanged in last place.
_RAIter __split_pos1, __split_pos2;
__split_pos1 = __begin + __parallel_partition(__begin, __end - 1,
__pred,
__get_max_threads());
 
// Left side: < __pivot_pos; __right side: >= __pivot_pos
 
// Swap pivot back to middle.
if (__split_pos1 != __pivot_pos)
std::iter_swap(__split_pos1, __pivot_pos);
__pivot_pos = __split_pos1;
 
// In case all elements are equal, __split_pos1 == 0
if ((__split_pos1 + 1 - __begin) < (__n >> 7)
|| (__end - __split_pos1) < (__n >> 7))
{
// Very unequal split, one part smaller than one 128th
// elements not strictly larger than the pivot.
__gnu_parallel::__unary_negate<__gnu_parallel::
__binder1st<_Compare, _ValueType,
_ValueType, bool>, _ValueType>
__pred(__gnu_parallel::__binder1st<_Compare, _ValueType,
_ValueType, bool>(__comp, *__pivot_pos));
 
// Find other end of pivot-equal range.
__split_pos2 = __gnu_sequential::partition(__split_pos1 + 1,
__end, __pred);
}
else
// Only skip the pivot.
__split_pos2 = __split_pos1 + 1;
 
// Compare iterators.
if (__split_pos2 <= __nth)
__begin = __split_pos2;
else if (__nth < __split_pos1)
__end = __split_pos1;
else
break;
}
 
// Only at most _Settings::partition_minimal_n __elements __left.
__gnu_sequential::nth_element(__begin, __nth, __end, __comp);
}
 
/** @brief Parallel implementation of std::partial_sort().
* @param __begin Begin iterator of input sequence.
* @param __middle Sort until this position.
* @param __end End iterator of input sequence.
* @param __comp Comparator. */
template<typename _RAIter, typename _Compare>
void
__parallel_partial_sort(_RAIter __begin,
_RAIter __middle,
_RAIter __end, _Compare __comp)
{
__parallel_nth_element(__begin, __middle, __end, __comp);
std::sort(__begin, __middle, __comp);
}
 
} //namespace __gnu_parallel
 
#undef _GLIBCXX_VOLATILE
 
#endif /* _GLIBCXX_PARALLEL_PARTITION_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/queue.h
0,0 → 1,155
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/queue.h
* @brief Lock-free double-ended queue.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_QUEUE_H
#define _GLIBCXX_PARALLEL_QUEUE_H 1
 
#include <parallel/types.h>
#include <parallel/base.h>
#include <parallel/compatibility.h>
 
/** @brief Decide whether to declare certain variable volatile in this file. */
#define _GLIBCXX_VOLATILE volatile
 
namespace __gnu_parallel
{
/**@brief Double-ended queue of bounded size, allowing lock-free
* atomic access. push_front() and pop_front() must not be called
* concurrently to each other, while pop_back() can be called
* concurrently at all times.
* @c empty(), @c size(), and @c top() are intentionally not provided.
* Calling them would not make sense in a concurrent setting.
* @param _Tp Contained element type. */
template<typename _Tp>
class _RestrictedBoundedConcurrentQueue
{
private:
/** @brief Array of elements, seen as cyclic buffer. */
_Tp* _M_base;
 
/** @brief Maximal number of elements contained at the same time. */
_SequenceIndex _M_max_size;
 
/** @brief Cyclic __begin and __end pointers contained in one
atomically changeable value. */
_GLIBCXX_VOLATILE _CASable _M_borders;
 
public:
/** @brief Constructor. Not to be called concurrent, of course.
* @param __max_size Maximal number of elements to be contained. */
_RestrictedBoundedConcurrentQueue(_SequenceIndex __max_size)
{
_M_max_size = __max_size;
_M_base = new _Tp[__max_size];
_M_borders = __encode2(0, 0);
#pragma omp flush
}
 
/** @brief Destructor. Not to be called concurrent, of course. */
~_RestrictedBoundedConcurrentQueue()
{ delete[] _M_base; }
 
/** @brief Pushes one element into the queue at the front end.
* Must not be called concurrently with pop_front(). */
void
push_front(const _Tp& __t)
{
_CASable __former_borders = _M_borders;
int __former_front, __former_back;
__decode2(__former_borders, __former_front, __former_back);
*(_M_base + __former_front % _M_max_size) = __t;
#if _GLIBCXX_ASSERTIONS
// Otherwise: front - back > _M_max_size eventually.
_GLIBCXX_PARALLEL_ASSERT(((__former_front + 1) - __former_back)
<= _M_max_size);
#endif
__fetch_and_add(&_M_borders, __encode2(1, 0));
}
 
/** @brief Pops one element from the queue at the front end.
* Must not be called concurrently with pop_front(). */
bool
pop_front(_Tp& __t)
{
int __former_front, __former_back;
#pragma omp flush
__decode2(_M_borders, __former_front, __former_back);
while (__former_front > __former_back)
{
// Chance.
_CASable __former_borders = __encode2(__former_front,
__former_back);
_CASable __new_borders = __encode2(__former_front - 1,
__former_back);
if (__compare_and_swap(&_M_borders, __former_borders,
__new_borders))
{
__t = *(_M_base + (__former_front - 1) % _M_max_size);
return true;
}
#pragma omp flush
__decode2(_M_borders, __former_front, __former_back);
}
return false;
}
 
/** @brief Pops one element from the queue at the front end.
* Must not be called concurrently with pop_front(). */
bool
pop_back(_Tp& __t) //queue behavior
{
int __former_front, __former_back;
#pragma omp flush
__decode2(_M_borders, __former_front, __former_back);
while (__former_front > __former_back)
{
// Chance.
_CASable __former_borders = __encode2(__former_front,
__former_back);
_CASable __new_borders = __encode2(__former_front,
__former_back + 1);
if (__compare_and_swap(&_M_borders, __former_borders,
__new_borders))
{
__t = *(_M_base + __former_back % _M_max_size);
return true;
}
#pragma omp flush
__decode2(_M_borders, __former_front, __former_back);
}
return false;
}
};
} //namespace __gnu_parallel
 
#undef _GLIBCXX_VOLATILE
 
#endif /* _GLIBCXX_PARALLEL_QUEUE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/quicksort.h
0,0 → 1,176
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/quicksort.h
* @brief Implementation of a unbalanced parallel quicksort (in-place).
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_QUICKSORT_H
#define _GLIBCXX_PARALLEL_QUICKSORT_H 1
 
#include <parallel/parallel.h>
#include <parallel/partition.h>
 
namespace __gnu_parallel
{
/** @brief Unbalanced quicksort divide step.
* @param __begin Begin iterator of subsequence.
* @param __end End iterator of subsequence.
* @param __comp Comparator.
* @param __pivot_rank Desired __rank of the pivot.
* @param __num_samples Choose pivot from that many samples.
* @param __num_threads Number of threads that are allowed to work on
* this part.
*/
template<typename _RAIter, typename _Compare>
typename std::iterator_traits<_RAIter>::difference_type
__parallel_sort_qs_divide(_RAIter __begin, _RAIter __end,
_Compare __comp, typename std::iterator_traits
<_RAIter>::difference_type __pivot_rank,
typename std::iterator_traits
<_RAIter>::difference_type
__num_samples, _ThreadIndex __num_threads)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
__num_samples = std::min(__num_samples, __n);
 
// Allocate uninitialized, to avoid default constructor.
_ValueType* __samples = static_cast<_ValueType*>
(::operator new(__num_samples * sizeof(_ValueType)));
 
for (_DifferenceType __s = 0; __s < __num_samples; ++__s)
{
const unsigned long long __index = static_cast<unsigned long long>
(__s) * __n / __num_samples;
::new(&(__samples[__s])) _ValueType(__begin[__index]);
}
 
__gnu_sequential::sort(__samples, __samples + __num_samples, __comp);
 
_ValueType& __pivot = __samples[__pivot_rank * __num_samples / __n];
 
__gnu_parallel::__binder2nd<_Compare, _ValueType, _ValueType, bool>
__pred(__comp, __pivot);
_DifferenceType __split = __parallel_partition(__begin, __end,
__pred, __num_threads);
 
for (_DifferenceType __s = 0; __s < __num_samples; ++__s)
__samples[__s].~_ValueType();
::operator delete(__samples);
 
return __split;
}
 
/** @brief Unbalanced quicksort conquer step.
* @param __begin Begin iterator of subsequence.
* @param __end End iterator of subsequence.
* @param __comp Comparator.
* @param __num_threads Number of threads that are allowed to work on
* this part.
*/
template<typename _RAIter, typename _Compare>
void
__parallel_sort_qs_conquer(_RAIter __begin, _RAIter __end,
_Compare __comp,
_ThreadIndex __num_threads)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
if (__num_threads <= 1)
{
__gnu_sequential::sort(__begin, __end, __comp);
return;
}
 
_DifferenceType __n = __end - __begin, __pivot_rank;
 
if (__n <= 1)
return;
 
_ThreadIndex __num_threads_left;
 
if ((__num_threads % 2) == 1)
__num_threads_left = __num_threads / 2 + 1;
else
__num_threads_left = __num_threads / 2;
 
__pivot_rank = __n * __num_threads_left / __num_threads;
 
_DifferenceType __split = __parallel_sort_qs_divide
(__begin, __end, __comp, __pivot_rank,
_Settings::get().sort_qs_num_samples_preset, __num_threads);
 
#pragma omp parallel sections num_threads(2)
{
#pragma omp section
__parallel_sort_qs_conquer(__begin, __begin + __split,
__comp, __num_threads_left);
#pragma omp section
__parallel_sort_qs_conquer(__begin + __split, __end,
__comp, __num_threads - __num_threads_left);
}
}
 
 
/** @brief Unbalanced quicksort main call.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator input sequence, ignored.
* @param __comp Comparator.
* @param __num_threads Number of threads that are allowed to work on
* this part.
*/
template<typename _RAIter, typename _Compare>
void
__parallel_sort_qs(_RAIter __begin, _RAIter __end,
_Compare __comp,
_ThreadIndex __num_threads)
{
_GLIBCXX_CALL(__n)
 
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
 
// At least one element per processor.
if (__num_threads > __n)
__num_threads = static_cast<_ThreadIndex>(__n);
 
__parallel_sort_qs_conquer(
__begin, __begin + __n, __comp, __num_threads);
}
 
} //namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_QUICKSORT_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/random_number.h
0,0 → 1,125
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/random_number.h
* @brief Random number generator based on the Mersenne twister.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_RANDOM_NUMBER_H
#define _GLIBCXX_PARALLEL_RANDOM_NUMBER_H 1
 
#include <parallel/types.h>
#include <tr1/random>
#include <limits>
 
namespace __gnu_parallel
{
/** @brief Random number generator, based on the Mersenne twister. */
class _RandomNumber
{
private:
std::tr1::mt19937 _M_mt;
uint64_t _M_supremum;
uint64_t _M_rand_sup;
double _M_supremum_reciprocal;
double _M_rand_sup_reciprocal;
 
// Assumed to be twice as long as the usual random number.
uint64_t __cache;
 
// Bit results.
int __bits_left;
static uint32_t
__scale_down(uint64_t __x,
#if _GLIBCXX_SCALE_DOWN_FPU
uint64_t /*_M_supremum*/, double _M_supremum_reciprocal)
#else
uint64_t _M_supremum, double /*_M_supremum_reciprocal*/)
#endif
{
#if _GLIBCXX_SCALE_DOWN_FPU
return uint32_t(__x * _M_supremum_reciprocal);
#else
return static_cast<uint32_t>(__x % _M_supremum);
#endif
}
 
public:
/** @brief Default constructor. Seed with 0. */
_RandomNumber()
: _M_mt(0), _M_supremum(0x100000000ULL),
_M_rand_sup(1ULL << std::numeric_limits<uint32_t>::digits),
_M_supremum_reciprocal(double(_M_supremum) / double(_M_rand_sup)),
_M_rand_sup_reciprocal(1.0 / double(_M_rand_sup)),
__cache(0), __bits_left(0) { }
 
/** @brief Constructor.
* @param __seed Random __seed.
* @param _M_supremum Generate integer random numbers in the
* interval @c [0,_M_supremum). */
_RandomNumber(uint32_t __seed, uint64_t _M_supremum = 0x100000000ULL)
: _M_mt(__seed), _M_supremum(_M_supremum),
_M_rand_sup(1ULL << std::numeric_limits<uint32_t>::digits),
_M_supremum_reciprocal(double(_M_supremum) / double(_M_rand_sup)),
_M_rand_sup_reciprocal(1.0 / double(_M_rand_sup)),
__cache(0), __bits_left(0) { }
 
/** @brief Generate unsigned random 32-bit integer. */
uint32_t
operator()()
{ return __scale_down(_M_mt(), _M_supremum, _M_supremum_reciprocal); }
 
/** @brief Generate unsigned random 32-bit integer in the
interval @c [0,local_supremum). */
uint32_t
operator()(uint64_t local_supremum)
{
return __scale_down(_M_mt(), local_supremum,
double(local_supremum * _M_rand_sup_reciprocal));
}
 
/** @brief Generate a number of random bits, run-time parameter.
* @param __bits Number of bits to generate. */
unsigned long
__genrand_bits(int __bits)
{
unsigned long __res = __cache & ((1 << __bits) - 1);
__cache = __cache >> __bits;
__bits_left -= __bits;
if (__bits_left < 32)
{
__cache |= ((uint64_t(_M_mt())) << __bits_left);
__bits_left += 32;
}
return __res;
}
};
 
} // namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_RANDOM_NUMBER_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/random_shuffle.h
0,0 → 1,533
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/random_shuffle.h
* @brief Parallel implementation of std::random_shuffle().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_RANDOM_SHUFFLE_H
#define _GLIBCXX_PARALLEL_RANDOM_SHUFFLE_H 1
 
#include <limits>
#include <bits/stl_numeric.h>
#include <parallel/parallel.h>
#include <parallel/random_number.h>
 
namespace __gnu_parallel
{
/** @brief Type to hold the index of a bin.
*
* Since many variables of this type are allocated, it should be
* chosen as small as possible.
*/
typedef unsigned short _BinIndex;
 
/** @brief Data known to every thread participating in
__gnu_parallel::__parallel_random_shuffle(). */
template<typename _RAIter>
struct _DRandomShufflingGlobalData
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
/** @brief Begin iterator of the __source. */
_RAIter& _M_source;
 
/** @brief Temporary arrays for each thread. */
_ValueType** _M_temporaries;
 
/** @brief Two-dimensional array to hold the thread-bin distribution.
*
* Dimensions (_M_num_threads + 1) __x (_M_num_bins + 1). */
_DifferenceType** _M_dist;
 
/** @brief Start indexes of the threads' __chunks. */
_DifferenceType* _M_starts;
 
/** @brief Number of the thread that will further process the
corresponding bin. */
_ThreadIndex* _M_bin_proc;
 
/** @brief Number of bins to distribute to. */
int _M_num_bins;
 
/** @brief Number of bits needed to address the bins. */
int _M_num_bits;
 
/** @brief Constructor. */
_DRandomShufflingGlobalData(_RAIter& __source)
: _M_source(__source) { }
};
 
/** @brief Local data for a thread participating in
__gnu_parallel::__parallel_random_shuffle().
*/
template<typename _RAIter, typename _RandomNumberGenerator>
struct _DRSSorterPU
{
/** @brief Number of threads participating in total. */
int _M_num_threads;
 
/** @brief Begin index for bins taken care of by this thread. */
_BinIndex _M_bins_begin;
 
/** @brief End index for bins taken care of by this thread. */
_BinIndex __bins_end;
 
/** @brief Random _M_seed for this thread. */
uint32_t _M_seed;
 
/** @brief Pointer to global data. */
_DRandomShufflingGlobalData<_RAIter>* _M_sd;
};
 
/** @brief Generate a random number in @c [0,2^__logp).
* @param __logp Logarithm (basis 2) of the upper range __bound.
* @param __rng Random number generator to use.
*/
template<typename _RandomNumberGenerator>
inline int
__random_number_pow2(int __logp, _RandomNumberGenerator& __rng)
{ return __rng.__genrand_bits(__logp); }
 
/** @brief Random shuffle code executed by each thread.
* @param __pus Array of thread-local data records. */
template<typename _RAIter, typename _RandomNumberGenerator>
void
__parallel_random_shuffle_drs_pu(_DRSSorterPU<_RAIter,
_RandomNumberGenerator>* __pus)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_ThreadIndex __iam = omp_get_thread_num();
_DRSSorterPU<_RAIter, _RandomNumberGenerator>* __d = &__pus[__iam];
_DRandomShufflingGlobalData<_RAIter>* __sd = __d->_M_sd;
 
// Indexing: _M_dist[bin][processor]
_DifferenceType __length = (__sd->_M_starts[__iam + 1]
- __sd->_M_starts[__iam]);
_BinIndex* __oracles = new _BinIndex[__length];
_DifferenceType* __dist = new _DifferenceType[__sd->_M_num_bins + 1];
_BinIndex* __bin_proc = new _BinIndex[__sd->_M_num_bins];
_ValueType** __temporaries = new _ValueType*[__d->_M_num_threads];
 
// Compute oracles and count appearances.
for (_BinIndex __b = 0; __b < __sd->_M_num_bins + 1; ++__b)
__dist[__b] = 0;
int __num_bits = __sd->_M_num_bits;
 
_RandomNumber __rng(__d->_M_seed);
 
// First main loop.
for (_DifferenceType __i = 0; __i < __length; ++__i)
{
_BinIndex __oracle = __random_number_pow2(__num_bits, __rng);
__oracles[__i] = __oracle;
 
// To allow prefix (partial) sum.
++(__dist[__oracle + 1]);
}
 
for (_BinIndex __b = 0; __b < __sd->_M_num_bins + 1; ++__b)
__sd->_M_dist[__b][__iam + 1] = __dist[__b];
 
# pragma omp barrier
 
# pragma omp single
{
// Sum up bins, __sd->_M_dist[__s + 1][__d->_M_num_threads] now
// contains the total number of items in bin __s
for (_BinIndex __s = 0; __s < __sd->_M_num_bins; ++__s)
__gnu_sequential::partial_sum(__sd->_M_dist[__s + 1],
__sd->_M_dist[__s + 1]
+ __d->_M_num_threads + 1,
__sd->_M_dist[__s + 1]);
}
 
# pragma omp barrier
 
_SequenceIndex __offset = 0, __global_offset = 0;
for (_BinIndex __s = 0; __s < __d->_M_bins_begin; ++__s)
__global_offset += __sd->_M_dist[__s + 1][__d->_M_num_threads];
 
# pragma omp barrier
 
for (_BinIndex __s = __d->_M_bins_begin; __s < __d->__bins_end; ++__s)
{
for (int __t = 0; __t < __d->_M_num_threads + 1; ++__t)
__sd->_M_dist[__s + 1][__t] += __offset;
__offset = __sd->_M_dist[__s + 1][__d->_M_num_threads];
}
 
__sd->_M_temporaries[__iam] = static_cast<_ValueType*>
(::operator new(sizeof(_ValueType) * __offset));
 
# pragma omp barrier
 
// Draw local copies to avoid false sharing.
for (_BinIndex __b = 0; __b < __sd->_M_num_bins + 1; ++__b)
__dist[__b] = __sd->_M_dist[__b][__iam];
for (_BinIndex __b = 0; __b < __sd->_M_num_bins; ++__b)
__bin_proc[__b] = __sd->_M_bin_proc[__b];
for (_ThreadIndex __t = 0; __t < __d->_M_num_threads; ++__t)
__temporaries[__t] = __sd->_M_temporaries[__t];
 
_RAIter __source = __sd->_M_source;
_DifferenceType __start = __sd->_M_starts[__iam];
 
// Distribute according to oracles, second main loop.
for (_DifferenceType __i = 0; __i < __length; ++__i)
{
_BinIndex __target_bin = __oracles[__i];
_ThreadIndex __target_p = __bin_proc[__target_bin];
 
// Last column [__d->_M_num_threads] stays unchanged.
::new(&(__temporaries[__target_p][__dist[__target_bin + 1]++]))
_ValueType(*(__source + __i + __start));
}
 
delete[] __oracles;
delete[] __dist;
delete[] __bin_proc;
delete[] __temporaries;
 
# pragma omp barrier
 
// Shuffle bins internally.
for (_BinIndex __b = __d->_M_bins_begin; __b < __d->__bins_end; ++__b)
{
_ValueType* __begin =
(__sd->_M_temporaries[__iam]
+ (__b == __d->_M_bins_begin
? 0 : __sd->_M_dist[__b][__d->_M_num_threads])),
*__end = (__sd->_M_temporaries[__iam]
+ __sd->_M_dist[__b + 1][__d->_M_num_threads]);
 
__sequential_random_shuffle(__begin, __end, __rng);
std::copy(__begin, __end, __sd->_M_source + __global_offset
+ (__b == __d->_M_bins_begin
? 0 : __sd->_M_dist[__b][__d->_M_num_threads]));
}
 
for (_SequenceIndex __i = 0; __i < __offset; ++__i)
__sd->_M_temporaries[__iam][__i].~_ValueType();
::operator delete(__sd->_M_temporaries[__iam]);
}
 
/** @brief Round up to the next greater power of 2.
* @param __x _Integer to round up */
template<typename _Tp>
_Tp
__round_up_to_pow2(_Tp __x)
{
if (__x <= 1)
return 1;
else
return (_Tp)1 << (__rd_log2(__x - 1) + 1);
}
 
/** @brief Main parallel random shuffle step.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __n Length of sequence.
* @param __num_threads Number of threads to use.
* @param __rng Random number generator to use.
*/
template<typename _RAIter, typename _RandomNumberGenerator>
void
__parallel_random_shuffle_drs(_RAIter __begin, _RAIter __end,
typename std::iterator_traits
<_RAIter>::difference_type __n,
_ThreadIndex __num_threads,
_RandomNumberGenerator& __rng)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_GLIBCXX_CALL(__n)
 
const _Settings& __s = _Settings::get();
 
if (__num_threads > __n)
__num_threads = static_cast<_ThreadIndex>(__n);
 
_BinIndex __num_bins, __num_bins_cache;
 
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1
// Try the L1 cache first.
 
// Must fit into L1.
__num_bins_cache =
std::max<_DifferenceType>(1, __n / (__s.L1_cache_size_lb
/ sizeof(_ValueType)));
__num_bins_cache = __round_up_to_pow2(__num_bins_cache);
 
// No more buckets than TLB entries, power of 2
// Power of 2 and at least one element per bin, at most the TLB size.
__num_bins = std::min<_DifferenceType>(__n, __num_bins_cache);
 
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB
// 2 TLB entries needed per bin.
__num_bins = std::min<_DifferenceType>(__s.TLB_size / 2, __num_bins);
#endif
__num_bins = __round_up_to_pow2(__num_bins);
 
if (__num_bins < __num_bins_cache)
{
#endif
// Now try the L2 cache
// Must fit into L2
__num_bins_cache = static_cast<_BinIndex>
(std::max<_DifferenceType>(1, __n / (__s.L2_cache_size
/ sizeof(_ValueType))));
__num_bins_cache = __round_up_to_pow2(__num_bins_cache);
 
// No more buckets than TLB entries, power of 2.
__num_bins = static_cast<_BinIndex>
(std::min(__n, static_cast<_DifferenceType>(__num_bins_cache)));
// Power of 2 and at least one element per bin, at most the TLB size.
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB
// 2 TLB entries needed per bin.
__num_bins = std::min(static_cast<_DifferenceType>(__s.TLB_size / 2),
__num_bins);
#endif
__num_bins = __round_up_to_pow2(__num_bins);
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1
}
#endif
 
__num_bins = __round_up_to_pow2(
std::max<_BinIndex>(__num_threads, __num_bins));
 
if (__num_threads <= 1)
{
_RandomNumber __derived_rng(
__rng(std::numeric_limits<uint32_t>::max()));
__sequential_random_shuffle(__begin, __end, __derived_rng);
return;
}
 
_DRandomShufflingGlobalData<_RAIter> __sd(__begin);
_DRSSorterPU<_RAIter, _RandomNumber >* __pus;
_DifferenceType* __starts;
 
# pragma omp parallel num_threads(__num_threads)
{
_ThreadIndex __num_threads = omp_get_num_threads();
# pragma omp single
{
__pus = new _DRSSorterPU<_RAIter, _RandomNumber>[__num_threads];
__sd._M_temporaries = new _ValueType*[__num_threads];
__sd._M_dist = new _DifferenceType*[__num_bins + 1];
__sd._M_bin_proc = new _ThreadIndex[__num_bins];
for (_BinIndex __b = 0; __b < __num_bins + 1; ++__b)
__sd._M_dist[__b] = new _DifferenceType[__num_threads + 1];
for (_BinIndex __b = 0; __b < (__num_bins + 1); ++__b)
{
__sd._M_dist[0][0] = 0;
__sd._M_dist[__b][0] = 0;
}
__starts = __sd._M_starts = new _DifferenceType[__num_threads + 1];
int __bin_cursor = 0;
__sd._M_num_bins = __num_bins;
__sd._M_num_bits = __rd_log2(__num_bins);
 
_DifferenceType __chunk_length = __n / __num_threads,
__split = __n % __num_threads,
__start = 0;
_DifferenceType __bin_chunk_length = __num_bins / __num_threads,
__bin_split = __num_bins % __num_threads;
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
{
__starts[__i] = __start;
__start += (__i < __split
? (__chunk_length + 1) : __chunk_length);
int __j = __pus[__i]._M_bins_begin = __bin_cursor;
 
// Range of bins for this processor.
__bin_cursor += (__i < __bin_split
? (__bin_chunk_length + 1)
: __bin_chunk_length);
__pus[__i].__bins_end = __bin_cursor;
for (; __j < __bin_cursor; ++__j)
__sd._M_bin_proc[__j] = __i;
__pus[__i]._M_num_threads = __num_threads;
__pus[__i]._M_seed = __rng(std::numeric_limits<uint32_t>::max());
__pus[__i]._M_sd = &__sd;
}
__starts[__num_threads] = __start;
} //single
// Now shuffle in parallel.
__parallel_random_shuffle_drs_pu(__pus);
} // parallel
 
delete[] __starts;
delete[] __sd._M_bin_proc;
for (int __s = 0; __s < (__num_bins + 1); ++__s)
delete[] __sd._M_dist[__s];
delete[] __sd._M_dist;
delete[] __sd._M_temporaries;
 
delete[] __pus;
}
 
/** @brief Sequential cache-efficient random shuffle.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __rng Random number generator to use.
*/
template<typename _RAIter, typename _RandomNumberGenerator>
void
__sequential_random_shuffle(_RAIter __begin, _RAIter __end,
_RandomNumberGenerator& __rng)
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __n = __end - __begin;
const _Settings& __s = _Settings::get();
 
_BinIndex __num_bins, __num_bins_cache;
 
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1
// Try the L1 cache first, must fit into L1.
__num_bins_cache = std::max<_DifferenceType>
(1, __n / (__s.L1_cache_size_lb / sizeof(_ValueType)));
__num_bins_cache = __round_up_to_pow2(__num_bins_cache);
 
// No more buckets than TLB entries, power of 2
// Power of 2 and at least one element per bin, at most the TLB size
__num_bins = std::min(__n, (_DifferenceType)__num_bins_cache);
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB
// 2 TLB entries needed per bin
__num_bins = std::min((_DifferenceType)__s.TLB_size / 2, __num_bins);
#endif
__num_bins = __round_up_to_pow2(__num_bins);
 
if (__num_bins < __num_bins_cache)
{
#endif
// Now try the L2 cache, must fit into L2.
__num_bins_cache = static_cast<_BinIndex>
(std::max<_DifferenceType>(1, __n / (__s.L2_cache_size
/ sizeof(_ValueType))));
__num_bins_cache = __round_up_to_pow2(__num_bins_cache);
 
// No more buckets than TLB entries, power of 2
// Power of 2 and at least one element per bin, at most the TLB size.
__num_bins = static_cast<_BinIndex>
(std::min(__n, static_cast<_DifferenceType>(__num_bins_cache)));
 
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_TLB
// 2 TLB entries needed per bin
__num_bins = std::min<_DifferenceType>(__s.TLB_size / 2, __num_bins);
#endif
__num_bins = __round_up_to_pow2(__num_bins);
#if _GLIBCXX_RANDOM_SHUFFLE_CONSIDER_L1
}
#endif
 
int __num_bits = __rd_log2(__num_bins);
 
if (__num_bins > 1)
{
_ValueType* __target =
static_cast<_ValueType*>(::operator new(sizeof(_ValueType) * __n));
_BinIndex* __oracles = new _BinIndex[__n];
_DifferenceType* __dist0 = new _DifferenceType[__num_bins + 1],
* __dist1 = new _DifferenceType[__num_bins + 1];
 
for (int __b = 0; __b < __num_bins + 1; ++__b)
__dist0[__b] = 0;
 
_RandomNumber __bitrng(__rng(0xFFFFFFFF));
 
for (_DifferenceType __i = 0; __i < __n; ++__i)
{
_BinIndex __oracle = __random_number_pow2(__num_bits, __bitrng);
__oracles[__i] = __oracle;
 
// To allow prefix (partial) sum.
++(__dist0[__oracle + 1]);
}
 
// Sum up bins.
__gnu_sequential::partial_sum(__dist0, __dist0 + __num_bins + 1,
__dist0);
 
for (int __b = 0; __b < __num_bins + 1; ++__b)
__dist1[__b] = __dist0[__b];
 
// Distribute according to oracles.
for (_DifferenceType __i = 0; __i < __n; ++__i)
::new(&(__target[(__dist0[__oracles[__i]])++]))
_ValueType(*(__begin + __i));
 
for (int __b = 0; __b < __num_bins; ++__b)
__sequential_random_shuffle(__target + __dist1[__b],
__target + __dist1[__b + 1], __rng);
 
// Copy elements back.
std::copy(__target, __target + __n, __begin);
 
delete[] __dist0;
delete[] __dist1;
delete[] __oracles;
for (_DifferenceType __i = 0; __i < __n; ++__i)
__target[__i].~_ValueType();
::operator delete(__target);
}
else
__gnu_sequential::random_shuffle(__begin, __end, __rng);
}
 
/** @brief Parallel random public call.
* @param __begin Begin iterator of sequence.
* @param __end End iterator of sequence.
* @param __rng Random number generator to use.
*/
template<typename _RAIter, typename _RandomNumberGenerator>
inline void
__parallel_random_shuffle(_RAIter __begin, _RAIter __end,
_RandomNumberGenerator __rng = _RandomNumber())
{
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
_DifferenceType __n = __end - __begin;
__parallel_random_shuffle_drs(__begin, __end, __n,
__get_max_threads(), __rng);
}
}
 
#endif /* _GLIBCXX_PARALLEL_RANDOM_SHUFFLE_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/search.h
0,0 → 1,172
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/search.h
* @brief Parallel implementation base for std::search() and
* std::search_n().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_SEARCH_H
#define _GLIBCXX_PARALLEL_SEARCH_H 1
 
#include <bits/stl_algobase.h>
 
#include <parallel/parallel.h>
#include <parallel/equally_split.h>
 
namespace __gnu_parallel
{
/**
* @brief Precalculate __advances for Knuth-Morris-Pratt algorithm.
* @param __elements Begin iterator of sequence to search for.
* @param __length Length of sequence to search for.
* @param __off Returned __offsets.
*/
template<typename _RAIter, typename _DifferenceTp>
void
__calc_borders(_RAIter __elements, _DifferenceTp __length,
_DifferenceTp* __off)
{
typedef _DifferenceTp _DifferenceType;
 
__off[0] = -1;
if (__length > 1)
__off[1] = 0;
_DifferenceType __k = 0;
for (_DifferenceType __j = 2; __j <= __length; __j++)
{
while ((__k >= 0) && !(__elements[__k] == __elements[__j-1]))
__k = __off[__k];
__off[__j] = ++__k;
}
}
 
// Generic parallel find algorithm (requires random access iterator).
 
/** @brief Parallel std::search.
* @param __begin1 Begin iterator of first sequence.
* @param __end1 End iterator of first sequence.
* @param __begin2 Begin iterator of second sequence.
* @param __end2 End iterator of second sequence.
* @param __pred Find predicate.
* @return Place of finding in first sequences. */
template<typename __RAIter1,
typename __RAIter2,
typename _Pred>
__RAIter1
__search_template(__RAIter1 __begin1, __RAIter1 __end1,
__RAIter2 __begin2, __RAIter2 __end2,
_Pred __pred)
{
typedef std::iterator_traits<__RAIter1> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_GLIBCXX_CALL((__end1 - __begin1) + (__end2 - __begin2));
 
_DifferenceType __pattern_length = __end2 - __begin2;
 
// Pattern too short.
if(__pattern_length <= 0)
return __end1;
 
// Last point to start search.
_DifferenceType __input_length = (__end1 - __begin1) - __pattern_length;
 
// Where is first occurrence of pattern? defaults to end.
_DifferenceType __result = (__end1 - __begin1);
_DifferenceType *__splitters;
 
// Pattern too long.
if (__input_length < 0)
return __end1;
 
omp_lock_t __result_lock;
omp_init_lock(&__result_lock);
 
_ThreadIndex __num_threads = std::max<_DifferenceType>
(1, std::min<_DifferenceType>(__input_length,
__get_max_threads()));
 
_DifferenceType __advances[__pattern_length];
__calc_borders(__begin2, __pattern_length, __advances);
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__splitters = new _DifferenceType[__num_threads + 1];
__equally_split(__input_length, __num_threads, __splitters);
}
 
_ThreadIndex __iam = omp_get_thread_num();
 
_DifferenceType __start = __splitters[__iam],
__stop = __splitters[__iam + 1];
 
_DifferenceType __pos_in_pattern = 0;
bool __found_pattern = false;
 
while (__start <= __stop && !__found_pattern)
{
// Get new value of result.
#pragma omp flush(__result)
// No chance for this thread to find first occurrence.
if (__result < __start)
break;
while (__pred(__begin1[__start + __pos_in_pattern],
__begin2[__pos_in_pattern]))
{
++__pos_in_pattern;
if (__pos_in_pattern == __pattern_length)
{
// Found new candidate for result.
omp_set_lock(&__result_lock);
__result = std::min(__result, __start);
omp_unset_lock(&__result_lock);
 
__found_pattern = true;
break;
}
}
// Make safe jump.
__start += (__pos_in_pattern - __advances[__pos_in_pattern]);
__pos_in_pattern = (__advances[__pos_in_pattern] < 0
? 0 : __advances[__pos_in_pattern]);
}
} //parallel
 
omp_destroy_lock(&__result_lock);
 
delete[] __splitters;
// Return iterator on found element.
return (__begin1 + __result);
}
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_SEARCH_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/set_operations.h
0,0 → 1,529
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/**
* @file parallel/set_operations.h
* @brief Parallel implementations of set operations for random-access
* iterators.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Marius Elvert and Felix Bondarenko.
 
#ifndef _GLIBCXX_PARALLEL_SET_OPERATIONS_H
#define _GLIBCXX_PARALLEL_SET_OPERATIONS_H 1
 
#include <omp.h>
 
#include <parallel/settings.h>
#include <parallel/multiseq_selection.h>
 
namespace __gnu_parallel
{
template<typename _IIter, typename _OutputIterator>
_OutputIterator
__copy_tail(std::pair<_IIter, _IIter> __b,
std::pair<_IIter, _IIter> __e, _OutputIterator __r)
{
if (__b.first != __e.first)
{
do
{
*__r++ = *__b.first++;
}
while (__b.first != __e.first);
}
else
{
while (__b.second != __e.second)
*__r++ = *__b.second++;
}
return __r;
}
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
struct __symmetric_difference_func
{
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename std::pair<_IIter, _IIter> _IteratorPair;
 
__symmetric_difference_func(_Compare __comp) : _M_comp(__comp) {}
 
_Compare _M_comp;
 
_OutputIterator
_M_invoke(_IIter __a, _IIter __b, _IIter __c, _IIter __d,
_OutputIterator __r) const
{
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{
*__r = *__a;
++__a;
++__r;
}
else if (_M_comp(*__c, *__a))
{
*__r = *__c;
++__c;
++__r;
}
else
{
++__a;
++__c;
}
}
return std::copy(__c, __d, std::copy(__a, __b, __r));
}
 
_DifferenceType
__count(_IIter __a, _IIter __b, _IIter __c, _IIter __d) const
{
_DifferenceType __counter = 0;
 
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{
++__a;
++__counter;
}
else if (_M_comp(*__c, *__a))
{
++__c;
++__counter;
}
else
{
++__a;
++__c;
}
}
 
return __counter + (__b - __a) + (__d - __c);
}
 
_OutputIterator
__first_empty(_IIter __c, _IIter __d, _OutputIterator __out) const
{ return std::copy(__c, __d, __out); }
 
_OutputIterator
__second_empty(_IIter __a, _IIter __b, _OutputIterator __out) const
{ return std::copy(__a, __b, __out); }
};
 
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
struct __difference_func
{
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename std::pair<_IIter, _IIter> _IteratorPair;
 
__difference_func(_Compare __comp) : _M_comp(__comp) {}
 
_Compare _M_comp;
 
_OutputIterator
_M_invoke(_IIter __a, _IIter __b, _IIter __c, _IIter __d,
_OutputIterator __r) const
{
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{
*__r = *__a;
++__a;
++__r;
}
else if (_M_comp(*__c, *__a))
{ ++__c; }
else
{
++__a;
++__c;
}
}
return std::copy(__a, __b, __r);
}
 
_DifferenceType
__count(_IIter __a, _IIter __b,
_IIter __c, _IIter __d) const
{
_DifferenceType __counter = 0;
 
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{
++__a;
++__counter;
}
else if (_M_comp(*__c, *__a))
{ ++__c; }
else
{ ++__a; ++__c; }
}
 
return __counter + (__b - __a);
}
 
_OutputIterator
__first_empty(_IIter, _IIter, _OutputIterator __out) const
{ return __out; }
 
_OutputIterator
__second_empty(_IIter __a, _IIter __b, _OutputIterator __out) const
{ return std::copy(__a, __b, __out); }
};
 
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
struct __intersection_func
{
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename std::pair<_IIter, _IIter> _IteratorPair;
 
__intersection_func(_Compare __comp) : _M_comp(__comp) {}
 
_Compare _M_comp;
 
_OutputIterator
_M_invoke(_IIter __a, _IIter __b, _IIter __c, _IIter __d,
_OutputIterator __r) const
{
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{ ++__a; }
else if (_M_comp(*__c, *__a))
{ ++__c; }
else
{
*__r = *__a;
++__a;
++__c;
++__r;
}
}
 
return __r;
}
 
_DifferenceType
__count(_IIter __a, _IIter __b, _IIter __c, _IIter __d) const
{
_DifferenceType __counter = 0;
 
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{ ++__a; }
else if (_M_comp(*__c, *__a))
{ ++__c; }
else
{
++__a;
++__c;
++__counter;
}
}
 
return __counter;
}
 
_OutputIterator
__first_empty(_IIter, _IIter, _OutputIterator __out) const
{ return __out; }
 
_OutputIterator
__second_empty(_IIter, _IIter, _OutputIterator __out) const
{ return __out; }
};
 
template<class _IIter, class _OutputIterator, class _Compare>
struct __union_func
{
typedef typename std::iterator_traits<_IIter>::difference_type
_DifferenceType;
 
__union_func(_Compare __comp) : _M_comp(__comp) {}
 
_Compare _M_comp;
 
_OutputIterator
_M_invoke(_IIter __a, const _IIter __b, _IIter __c,
const _IIter __d, _OutputIterator __r) const
{
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{
*__r = *__a;
++__a;
}
else if (_M_comp(*__c, *__a))
{
*__r = *__c;
++__c;
}
else
{
*__r = *__a;
++__a;
++__c;
}
++__r;
}
return std::copy(__c, __d, std::copy(__a, __b, __r));
}
 
_DifferenceType
__count(_IIter __a, _IIter __b, _IIter __c, _IIter __d) const
{
_DifferenceType __counter = 0;
 
while (__a != __b && __c != __d)
{
if (_M_comp(*__a, *__c))
{ ++__a; }
else if (_M_comp(*__c, *__a))
{ ++__c; }
else
{
++__a;
++__c;
}
++__counter;
}
 
__counter += (__b - __a);
__counter += (__d - __c);
return __counter;
}
 
_OutputIterator
__first_empty(_IIter __c, _IIter __d, _OutputIterator __out) const
{ return std::copy(__c, __d, __out); }
 
_OutputIterator
__second_empty(_IIter __a, _IIter __b, _OutputIterator __out) const
{ return std::copy(__a, __b, __out); }
};
 
template<typename _IIter,
typename _OutputIterator,
typename _Operation>
_OutputIterator
__parallel_set_operation(_IIter __begin1, _IIter __end1,
_IIter __begin2, _IIter __end2,
_OutputIterator __result, _Operation __op)
{
_GLIBCXX_CALL((__end1 - __begin1) + (__end2 - __begin2))
 
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
typedef typename std::pair<_IIter, _IIter> _IteratorPair;
 
if (__begin1 == __end1)
return __op.__first_empty(__begin2, __end2, __result);
 
if (__begin2 == __end2)
return __op.__second_empty(__begin1, __end1, __result);
 
const _DifferenceType __size = (__end1 - __begin1) + (__end2 - __begin2);
 
const _IteratorPair __sequence[2] = { std::make_pair(__begin1, __end1),
std::make_pair(__begin2, __end2) };
_OutputIterator __return_value = __result;
_DifferenceType *__borders;
_IteratorPair *__block_begins;
_DifferenceType* __lengths;
 
_ThreadIndex __num_threads =
std::min<_DifferenceType>(__get_max_threads(),
std::min(__end1 - __begin1, __end2 - __begin2));
 
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
 
__borders = new _DifferenceType[__num_threads + 2];
__equally_split(__size, __num_threads + 1, __borders);
__block_begins = new _IteratorPair[__num_threads + 1];
// Very __start.
__block_begins[0] = std::make_pair(__begin1, __begin2);
__lengths = new _DifferenceType[__num_threads];
} //single
 
_ThreadIndex __iam = omp_get_thread_num();
 
// _Result from multiseq_partition.
_IIter __offset[2];
const _DifferenceType __rank = __borders[__iam + 1];
 
multiseq_partition(__sequence, __sequence + 2,
__rank, __offset, __op._M_comp);
 
// allowed to read?
// together
// *(__offset[ 0 ] - 1) == *__offset[ 1 ]
if (__offset[ 0 ] != __begin1 && __offset[1] != __end2
&& !__op._M_comp(*(__offset[0] - 1), *__offset[1])
&& !__op._M_comp(*__offset[1], *(__offset[0] - 1)))
{
// Avoid split between globally equal elements: move one to
// front in first sequence.
--__offset[0];
}
 
_IteratorPair __block_end = __block_begins[__iam + 1] =
_IteratorPair(__offset[0], __offset[1]);
 
// Make sure all threads have their block_begin result written out.
# pragma omp barrier
 
_IteratorPair __block_begin = __block_begins[__iam];
 
// Begin working for the first block, while the others except
// the last start to count.
if (__iam == 0)
{
// The first thread can copy already.
__lengths[ __iam ] =
__op._M_invoke(__block_begin.first, __block_end.first,
__block_begin.second, __block_end.second,
__result) - __result;
}
else
{
__lengths[ __iam ] =
__op.__count(__block_begin.first, __block_end.first,
__block_begin.second, __block_end.second);
}
 
// Make sure everyone wrote their lengths.
# pragma omp barrier
 
_OutputIterator __r = __result;
 
if (__iam == 0)
{
// Do the last block.
for (_ThreadIndex __i = 0; __i < __num_threads; ++__i)
__r += __lengths[__i];
 
__block_begin = __block_begins[__num_threads];
 
// Return the result iterator of the last block.
__return_value =
__op._M_invoke(__block_begin.first, __end1,
__block_begin.second, __end2, __r);
 
}
else
{
for (_ThreadIndex __i = 0; __i < __iam; ++__i)
__r += __lengths[ __i ];
 
// Reset begins for copy pass.
__op._M_invoke(__block_begin.first, __block_end.first,
__block_begin.second, __block_end.second, __r);
}
}
return __return_value;
}
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
inline _OutputIterator
__parallel_set_union(_IIter __begin1, _IIter __end1,
_IIter __begin2, _IIter __end2,
_OutputIterator __result, _Compare __comp)
{
return __parallel_set_operation(__begin1, __end1, __begin2, __end2,
__result,
__union_func< _IIter, _OutputIterator,
_Compare>(__comp));
}
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
inline _OutputIterator
__parallel_set_intersection(_IIter __begin1, _IIter __end1,
_IIter __begin2, _IIter __end2,
_OutputIterator __result, _Compare __comp)
{
return __parallel_set_operation(__begin1, __end1, __begin2, __end2,
__result,
__intersection_func<_IIter,
_OutputIterator, _Compare>(__comp));
}
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
inline _OutputIterator
__parallel_set_difference(_IIter __begin1, _IIter __end1,
_IIter __begin2, _IIter __end2,
_OutputIterator __result, _Compare __comp)
{
return __parallel_set_operation(__begin1, __end1, __begin2, __end2,
__result,
__difference_func<_IIter,
_OutputIterator, _Compare>(__comp));
}
 
template<typename _IIter,
typename _OutputIterator,
typename _Compare>
inline _OutputIterator
__parallel_set_symmetric_difference(_IIter __begin1, _IIter __end1,
_IIter __begin2, _IIter __end2,
_OutputIterator __result,
_Compare __comp)
{
return __parallel_set_operation(__begin1, __end1, __begin2, __end2,
__result,
__symmetric_difference_func<_IIter,
_OutputIterator, _Compare>(__comp));
}
}
 
#endif /* _GLIBCXX_PARALLEL_SET_OPERATIONS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/settings.h
0,0 → 1,343
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/settings.h
* @brief Runtime settings and tuning parameters, heuristics to decide
* whether to use parallelized algorithms.
* This file is a GNU parallel extension to the Standard C++ Library.
*
* @section parallelization_decision
* The decision whether to run an algorithm in parallel.
*
* There are several ways the user can switch on and __off the parallel
* execution of an algorithm, both at compile- and run-time.
*
* Only sequential execution can be forced at compile-time. This
* reduces code size and protects code parts that have
* non-thread-safe side effects.
*
* Ultimately, forcing parallel execution at compile-time makes
* sense. Often, the sequential algorithm implementation is used as
* a subroutine, so no reduction in code size can be achieved. Also,
* the machine the program is run on might have only one processor
* core, so to avoid overhead, the algorithm is executed
* sequentially.
*
* To force sequential execution of an algorithm ultimately at
* compile-time, the user must add the tag
* gnu_parallel::sequential_tag() to the end of the parameter list,
* e. g.
*
* \code
* std::sort(__v.begin(), __v.end(), __gnu_parallel::sequential_tag());
* \endcode
*
* This is compatible with all overloaded algorithm variants. No
* additional code will be instantiated, at all. The same holds for
* most algorithm calls with iterators not providing random access.
*
* If the algorithm call is not forced to be executed sequentially
* at compile-time, the decision is made at run-time.
* The global variable __gnu_parallel::_Settings::algorithm_strategy
* is checked. _It is a tristate variable corresponding to:
*
* a. force_sequential, meaning the sequential algorithm is executed.
* b. force_parallel, meaning the parallel algorithm is executed.
* c. heuristic
*
* For heuristic, the parallel algorithm implementation is called
* only if the input size is sufficiently large. For most
* algorithms, the input size is the (combined) length of the input
* sequence(__s). The threshold can be set by the user, individually
* for each algorithm. The according variables are called
* gnu_parallel::_Settings::[algorithm]_minimal_n .
*
* For some of the algorithms, there are even more tuning options,
* e. g. the ability to choose from multiple algorithm variants. See
* below for details.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_SETTINGS_H
#define _GLIBCXX_PARALLEL_SETTINGS_H 1
 
#include <parallel/types.h>
 
/**
* @brief Determine at compile(?)-time if the parallel variant of an
* algorithm should be called.
* @param __c A condition that is convertible to bool that is overruled by
* __gnu_parallel::_Settings::algorithm_strategy. Usually a decision
* based on the input size.
*/
#define _GLIBCXX_PARALLEL_CONDITION(__c) \
(__gnu_parallel::_Settings::get().algorithm_strategy \
!= __gnu_parallel::force_sequential \
&& ((__gnu_parallel::__get_max_threads() > 1 && (__c)) \
|| __gnu_parallel::_Settings::get().algorithm_strategy \
== __gnu_parallel::force_parallel))
 
/*
inline bool
parallel_condition(bool __c)
{
bool ret = false;
const _Settings& __s = _Settings::get();
if (__s.algorithm_strategy != force_seqential)
{
if (__s.algorithm_strategy == force_parallel)
ret = true;
else
ret = __get_max_threads() > 1 && __c;
}
return ret;
}
*/
 
namespace __gnu_parallel
{
/// class _Settings
/// Run-time settings for the parallel mode including all tunable parameters.
struct _Settings
{
_AlgorithmStrategy algorithm_strategy;
_SortAlgorithm sort_algorithm;
_PartialSumAlgorithm partial_sum_algorithm;
_MultiwayMergeAlgorithm multiway_merge_algorithm;
_FindAlgorithm find_algorithm;
 
_SplittingAlgorithm sort_splitting;
_SplittingAlgorithm merge_splitting;
_SplittingAlgorithm multiway_merge_splitting;
 
// Per-algorithm settings.
 
/// Minimal input size for accumulate.
_SequenceIndex accumulate_minimal_n;
 
/// Minimal input size for adjacent_difference.
unsigned int adjacent_difference_minimal_n;
 
/// Minimal input size for count and count_if.
_SequenceIndex count_minimal_n;
 
/// Minimal input size for fill.
_SequenceIndex fill_minimal_n;
 
/// Block size increase factor for find.
double find_increasing_factor;
 
/// Initial block size for find.
_SequenceIndex find_initial_block_size;
 
/// Maximal block size for find.
_SequenceIndex find_maximum_block_size;
 
/// Start with looking for this many elements sequentially, for find.
_SequenceIndex find_sequential_search_size;
 
/// Minimal input size for for_each.
_SequenceIndex for_each_minimal_n;
 
/// Minimal input size for generate.
_SequenceIndex generate_minimal_n;
 
/// Minimal input size for max_element.
_SequenceIndex max_element_minimal_n;
 
/// Minimal input size for merge.
_SequenceIndex merge_minimal_n;
 
/// Oversampling factor for merge.
unsigned int merge_oversampling;
 
/// Minimal input size for min_element.
_SequenceIndex min_element_minimal_n;
 
/// Minimal input size for multiway_merge.
_SequenceIndex multiway_merge_minimal_n;
 
/// Oversampling factor for multiway_merge.
int multiway_merge_minimal_k;
 
/// Oversampling factor for multiway_merge.
unsigned int multiway_merge_oversampling;
 
/// Minimal input size for nth_element.
_SequenceIndex nth_element_minimal_n;
 
/// Chunk size for partition.
_SequenceIndex partition_chunk_size;
 
/// Chunk size for partition, relative to input size. If > 0.0,
/// this value overrides partition_chunk_size.
double partition_chunk_share;
 
/// Minimal input size for partition.
_SequenceIndex partition_minimal_n;
 
/// Minimal input size for partial_sort.
_SequenceIndex partial_sort_minimal_n;
 
/// Ratio for partial_sum. Assume "sum and write result" to be
/// this factor slower than just "sum".
float partial_sum_dilation;
 
/// Minimal input size for partial_sum.
unsigned int partial_sum_minimal_n;
 
/// Minimal input size for random_shuffle.
unsigned int random_shuffle_minimal_n;
 
/// Minimal input size for replace and replace_if.
_SequenceIndex replace_minimal_n;
 
/// Minimal input size for set_difference.
_SequenceIndex set_difference_minimal_n;
 
/// Minimal input size for set_intersection.
_SequenceIndex set_intersection_minimal_n;
 
/// Minimal input size for set_symmetric_difference.
_SequenceIndex set_symmetric_difference_minimal_n;
 
/// Minimal input size for set_union.
_SequenceIndex set_union_minimal_n;
 
/// Minimal input size for parallel sorting.
_SequenceIndex sort_minimal_n;
 
/// Oversampling factor for parallel std::sort (MWMS).
unsigned int sort_mwms_oversampling;
 
/// Such many samples to take to find a good pivot (quicksort).
unsigned int sort_qs_num_samples_preset;
 
/// Maximal subsequence __length to switch to unbalanced __base case.
/// Applies to std::sort with dynamically load-balanced quicksort.
_SequenceIndex sort_qsb_base_case_maximal_n;
 
/// Minimal input size for parallel std::transform.
_SequenceIndex transform_minimal_n;
 
/// Minimal input size for unique_copy.
_SequenceIndex unique_copy_minimal_n;
 
_SequenceIndex workstealing_chunk_size;
 
// Hardware dependent tuning parameters.
 
/// size of the L1 cache in bytes (underestimation).
unsigned long long L1_cache_size;
 
/// size of the L2 cache in bytes (underestimation).
unsigned long long L2_cache_size;
 
/// size of the Translation Lookaside Buffer (underestimation).
unsigned int TLB_size;
 
/// Overestimation of cache line size. Used to avoid false
/// sharing, i.e. elements of different threads are at least this
/// amount apart.
unsigned int cache_line_size;
 
// Statistics.
 
/// The number of stolen ranges in load-balanced quicksort.
_SequenceIndex qsb_steals;
 
/// Minimal input size for search and search_n.
_SequenceIndex search_minimal_n;
 
/// Block size scale-down factor with respect to current position.
float find_scale_factor;
 
/// Get the global settings.
_GLIBCXX_CONST static const _Settings&
get() throw();
 
/// Set the global settings.
static void
set(_Settings&) throw();
 
explicit
_Settings() :
algorithm_strategy(heuristic),
sort_algorithm(MWMS),
partial_sum_algorithm(LINEAR),
multiway_merge_algorithm(LOSER_TREE),
find_algorithm(CONSTANT_SIZE_BLOCKS),
sort_splitting(EXACT),
merge_splitting(EXACT),
multiway_merge_splitting(EXACT),
accumulate_minimal_n(1000),
adjacent_difference_minimal_n(1000),
count_minimal_n(1000),
fill_minimal_n(1000),
find_increasing_factor(2.0),
find_initial_block_size(256),
find_maximum_block_size(8192),
find_sequential_search_size(256),
for_each_minimal_n(1000),
generate_minimal_n(1000),
max_element_minimal_n(1000),
merge_minimal_n(1000),
merge_oversampling(10),
min_element_minimal_n(1000),
multiway_merge_minimal_n(1000),
multiway_merge_minimal_k(2), multiway_merge_oversampling(10),
nth_element_minimal_n(1000),
partition_chunk_size(1000),
partition_chunk_share(0.0),
partition_minimal_n(1000),
partial_sort_minimal_n(1000),
partial_sum_dilation(1.0f),
partial_sum_minimal_n(1000),
random_shuffle_minimal_n(1000),
replace_minimal_n(1000),
set_difference_minimal_n(1000),
set_intersection_minimal_n(1000),
set_symmetric_difference_minimal_n(1000),
set_union_minimal_n(1000),
sort_minimal_n(1000),
sort_mwms_oversampling(10),
sort_qs_num_samples_preset(100),
sort_qsb_base_case_maximal_n(100),
transform_minimal_n(1000),
unique_copy_minimal_n(10000),
workstealing_chunk_size(100),
L1_cache_size(16 << 10),
L2_cache_size(256 << 10),
TLB_size(128),
cache_line_size(64),
qsb_steals(0),
search_minimal_n(1000),
find_scale_factor(0.01f)
{ }
};
}
 
#endif /* _GLIBCXX_PARALLEL_SETTINGS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/sort.h
0,0 → 1,238
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/sort.h
* @brief Parallel sorting algorithm switch.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler.
 
#ifndef _GLIBCXX_PARALLEL_SORT_H
#define _GLIBCXX_PARALLEL_SORT_H 1
 
#include <parallel/basic_iterator.h>
#include <parallel/features.h>
#include <parallel/parallel.h>
 
#if _GLIBCXX_ASSERTIONS
#include <parallel/checkers.h>
#endif
 
#if _GLIBCXX_MERGESORT
#include <parallel/multiway_mergesort.h>
#endif
 
#if _GLIBCXX_QUICKSORT
#include <parallel/quicksort.h>
#endif
 
#if _GLIBCXX_BAL_QUICKSORT
#include <parallel/balanced_quicksort.h>
#endif
 
namespace __gnu_parallel
{
//prototype
template<bool __stable, typename _RAIter,
typename _Compare, typename _Parallelism>
void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, _Parallelism __parallelism);
/**
* @brief Choose multiway mergesort, splitting variant at run-time,
* for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, multiway_mergesort_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
if(_Settings::get().sort_splitting == EXACT)
parallel_sort_mwms<__stable, true>
(__begin, __end, __comp, __parallelism.__get_num_threads());
else
parallel_sort_mwms<__stable, false>
(__begin, __end, __comp, __parallelism.__get_num_threads());
}
 
/**
* @brief Choose multiway mergesort with exact splitting,
* for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp,
multiway_mergesort_exact_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
parallel_sort_mwms<__stable, true>
(__begin, __end, __comp, __parallelism.__get_num_threads());
}
 
/**
* @brief Choose multiway mergesort with splitting by sampling,
* for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp,
multiway_mergesort_sampling_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
parallel_sort_mwms<__stable, false>
(__begin, __end, __comp, __parallelism.__get_num_threads());
}
 
/**
* @brief Choose quicksort for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, quicksort_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
_GLIBCXX_PARALLEL_ASSERT(__stable == false);
 
__parallel_sort_qs(__begin, __end, __comp,
__parallelism.__get_num_threads());
}
 
/**
* @brief Choose balanced quicksort for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, balanced_quicksort_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
_GLIBCXX_PARALLEL_ASSERT(__stable == false);
 
__parallel_sort_qsb(__begin, __end, __comp,
__parallelism.__get_num_threads());
}
 
/**
* @brief Choose multiway mergesort with exact splitting,
* for parallel sorting.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, default_parallel_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
 
__parallel_sort<__stable>
(__begin, __end, __comp,
multiway_mergesort_exact_tag(__parallelism.__get_num_threads()));
}
 
/**
* @brief Choose a parallel sorting algorithm.
* @param __begin Begin iterator of input sequence.
* @param __end End iterator of input sequence.
* @param __comp Comparator.
* @tparam __stable Sort stable.
* @callgraph
*/
template<bool __stable, typename _RAIter, typename _Compare>
inline void
__parallel_sort(_RAIter __begin, _RAIter __end,
_Compare __comp, parallel_tag __parallelism)
{
_GLIBCXX_CALL(__end - __begin)
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
if (false) ;
#if _GLIBCXX_MERGESORT
else if (__stable || _Settings::get().sort_algorithm == MWMS)
{
if(_Settings::get().sort_splitting == EXACT)
parallel_sort_mwms<__stable, true>
(__begin, __end, __comp, __parallelism.__get_num_threads());
else
parallel_sort_mwms<false, false>
(__begin, __end, __comp, __parallelism.__get_num_threads());
}
#endif
#if _GLIBCXX_QUICKSORT
else if (_Settings::get().sort_algorithm == QS)
__parallel_sort_qs(__begin, __end, __comp,
__parallelism.__get_num_threads());
#endif
#if _GLIBCXX_BAL_QUICKSORT
else if (_Settings::get().sort_algorithm == QS_BALANCED)
__parallel_sort_qsb(__begin, __end, __comp,
__parallelism.__get_num_threads());
#endif
else
__gnu_sequential::sort(__begin, __end, __comp);
}
} // end namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_SORT_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/tags.h
0,0 → 1,185
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/**
* @file parallel/tags.h
* @brief Tags for compile-time selection.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_TAGS_H
#define _GLIBCXX_PARALLEL_TAGS_H 1
 
#include <omp.h>
#include <parallel/types.h>
 
namespace __gnu_parallel
{
/** @brief Forces sequential execution at compile time. */
struct sequential_tag { };
 
/** @brief Recommends parallel execution at compile time,
* optionally using a user-specified number of threads. */
struct parallel_tag
{
private:
_ThreadIndex _M_num_threads;
 
public:
/** @brief Default constructor. Use default number of threads. */
parallel_tag()
{ _M_num_threads = 0; }
 
/** @brief Default constructor. Recommend number of threads to use.
* @param __num_threads Desired number of threads. */
parallel_tag(_ThreadIndex __num_threads)
{ _M_num_threads = __num_threads; }
 
/** @brief Find out desired number of threads.
* @return Desired number of threads. */
_ThreadIndex __get_num_threads()
{
if(_M_num_threads == 0)
return omp_get_max_threads();
else
return _M_num_threads;
}
 
/** @brief Set the desired number of threads.
* @param __num_threads Desired number of threads. */
void set_num_threads(_ThreadIndex __num_threads)
{ _M_num_threads = __num_threads; }
};
 
/** @brief Recommends parallel execution using the
default parallel algorithm. */
struct default_parallel_tag : public parallel_tag
{
default_parallel_tag() { }
default_parallel_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Recommends parallel execution using dynamic
load-balancing at compile time. */
struct balanced_tag : public parallel_tag { };
 
/** @brief Recommends parallel execution using static
load-balancing at compile time. */
struct unbalanced_tag : public parallel_tag { };
 
/** @brief Recommends parallel execution using OpenMP dynamic
load-balancing at compile time. */
struct omp_loop_tag : public parallel_tag { };
 
/** @brief Recommends parallel execution using OpenMP static
load-balancing at compile time. */
struct omp_loop_static_tag : public parallel_tag { };
 
 
/** @brief Base class for for std::find() variants. */
struct find_tag { };
 
 
/** @brief Forces parallel merging
* with exact splitting, at compile time. */
struct exact_tag : public parallel_tag
{
exact_tag() { }
exact_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Forces parallel merging
* with exact splitting, at compile time. */
struct sampling_tag : public parallel_tag
{
sampling_tag() { }
sampling_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
 
/** @brief Forces parallel sorting using multiway mergesort
* at compile time. */
struct multiway_mergesort_tag : public parallel_tag
{
multiway_mergesort_tag() { }
multiway_mergesort_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Forces parallel sorting using multiway mergesort
* with exact splitting at compile time. */
struct multiway_mergesort_exact_tag : public parallel_tag
{
multiway_mergesort_exact_tag() { }
multiway_mergesort_exact_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Forces parallel sorting using multiway mergesort
* with splitting by sampling at compile time. */
struct multiway_mergesort_sampling_tag : public parallel_tag
{
multiway_mergesort_sampling_tag() { }
multiway_mergesort_sampling_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Forces parallel sorting using unbalanced quicksort
* at compile time. */
struct quicksort_tag : public parallel_tag
{
quicksort_tag() { }
quicksort_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
/** @brief Forces parallel sorting using balanced quicksort
* at compile time. */
struct balanced_quicksort_tag : public parallel_tag
{
balanced_quicksort_tag() { }
balanced_quicksort_tag(_ThreadIndex __num_threads)
: parallel_tag(__num_threads) { }
};
 
 
/** @brief Selects the growing block size variant for std::find().
@see _GLIBCXX_FIND_GROWING_BLOCKS */
struct growing_blocks_tag : public find_tag { };
 
/** @brief Selects the constant block size variant for std::find().
@see _GLIBCXX_FIND_CONSTANT_SIZE_BLOCKS */
struct constant_size_blocks_tag : public find_tag { };
 
/** @brief Selects the equal splitting variant for std::find().
@see _GLIBCXX_FIND_EQUAL_SPLIT */
struct equal_split_tag : public find_tag { };
}
 
#endif /* _GLIBCXX_PARALLEL_TAGS_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/types.h
0,0 → 1,137
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/types.h
* @brief Basic types and typedefs.
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Johannes Singler and Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_TYPES_H
#define _GLIBCXX_PARALLEL_TYPES_H 1
 
#include <cstdlib>
#include <limits>
#include <tr1/cstdint>
 
namespace __gnu_parallel
{
// Enumerated types.
 
/// Run-time equivalents for the compile-time tags.
enum _Parallelism
{
/// Not parallel.
sequential,
 
/// Parallel unbalanced (equal-sized chunks).
parallel_unbalanced,
 
/// Parallel balanced (work-stealing).
parallel_balanced,
 
/// Parallel with OpenMP dynamic load-balancing.
parallel_omp_loop,
 
/// Parallel with OpenMP static load-balancing.
parallel_omp_loop_static,
 
/// Parallel with OpenMP taskqueue construct.
parallel_taskqueue
};
 
/// Strategies for run-time algorithm selection:
// force_sequential, force_parallel, heuristic.
enum _AlgorithmStrategy
{
heuristic,
force_sequential,
force_parallel
};
 
/// Sorting algorithms:
// multi-way mergesort, quicksort, load-balanced quicksort.
enum _SortAlgorithm
{
MWMS,
QS,
QS_BALANCED
};
 
/// Merging algorithms:
// bubblesort-alike, loser-tree variants, enum __sentinel.
enum _MultiwayMergeAlgorithm
{
LOSER_TREE
};
 
/// Partial sum algorithms: recursive, linear.
enum _PartialSumAlgorithm
{
RECURSIVE,
LINEAR
};
 
/// Sorting/merging algorithms: sampling, __exact.
enum _SplittingAlgorithm
{
SAMPLING,
EXACT
};
 
/// Find algorithms:
// growing blocks, equal-sized blocks, equal splitting.
enum _FindAlgorithm
{
GROWING_BLOCKS,
CONSTANT_SIZE_BLOCKS,
EQUAL_SPLIT
};
 
/**
* @brief Unsigned integer to index __elements.
* The total number of elements for each algorithm must fit into this type.
*/
typedef uint64_t _SequenceIndex;
 
/**
* @brief Unsigned integer to index a thread number.
* The maximum thread number (for each processor) must fit into this type.
*/
typedef uint16_t _ThreadIndex;
 
// XXX atomics interface?
/// Longest compare-and-swappable integer type on this platform.
typedef int64_t _CASable;
 
/// Number of bits of _CASable.
static const int _CASable_bits = std::numeric_limits<_CASable>::digits;
 
/// ::_CASable with the right half of bits set to 1.
static const _CASable _CASable_mask =
((_CASable(1) << (_CASable_bits / 2)) - 1);
}
 
#endif /* _GLIBCXX_PARALLEL_TYPES_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/unique_copy.h
0,0 → 1,197
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/unique_copy.h
* @brief Parallel implementations of std::unique_copy().
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Robert Geisberger and Robin Dapp.
 
#ifndef _GLIBCXX_PARALLEL_UNIQUE_COPY_H
#define _GLIBCXX_PARALLEL_UNIQUE_COPY_H 1
 
#include <parallel/parallel.h>
#include <parallel/multiseq_selection.h>
 
namespace __gnu_parallel
{
/** @brief Parallel std::unique_copy(), w/__o explicit equality predicate.
* @param __first Begin iterator of input sequence.
* @param __last End iterator of input sequence.
* @param __result Begin iterator of result __sequence.
* @param __binary_pred Equality predicate.
* @return End iterator of result __sequence. */
template<typename _IIter,
class _OutputIterator,
class _BinaryPredicate>
_OutputIterator
__parallel_unique_copy(_IIter __first, _IIter __last,
_OutputIterator __result,
_BinaryPredicate __binary_pred)
{
_GLIBCXX_CALL(__last - __first)
 
typedef std::iterator_traits<_IIter> _TraitsType;
typedef typename _TraitsType::value_type _ValueType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
_DifferenceType __size = __last - __first;
 
if (__size == 0)
return __result;
 
// Let the first thread process two parts.
_DifferenceType *__counter;
_DifferenceType *__borders;
 
_ThreadIndex __num_threads = __get_max_threads();
// First part contains at least one element.
# pragma omp parallel num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
__borders = new _DifferenceType[__num_threads + 2];
__equally_split(__size, __num_threads + 1, __borders);
__counter = new _DifferenceType[__num_threads + 1];
}
 
_ThreadIndex __iam = omp_get_thread_num();
 
_DifferenceType __begin, __end;
 
// Check for length without duplicates
// Needed for position in output
_DifferenceType __i = 0;
_OutputIterator __out = __result;
 
if (__iam == 0)
{
__begin = __borders[0] + 1; // == 1
__end = __borders[__iam + 1];
 
++__i;
*__out++ = *__first;
 
for (_IIter __iter = __first + __begin; __iter < __first + __end;
++__iter)
{
if (!__binary_pred(*__iter, *(__iter - 1)))
{
++__i;
*__out++ = *__iter;
}
}
}
else
{
__begin = __borders[__iam]; //one part
__end = __borders[__iam + 1];
 
for (_IIter __iter = __first + __begin; __iter < __first + __end;
++__iter)
{
if (!__binary_pred(*__iter, *(__iter - 1)))
++__i;
}
}
__counter[__iam] = __i;
 
// Last part still untouched.
_DifferenceType __begin_output;
 
# pragma omp barrier
 
// Store result in output on calculated positions.
__begin_output = 0;
 
if (__iam == 0)
{
for (_ThreadIndex __t = 0; __t < __num_threads; ++__t)
__begin_output += __counter[__t];
 
__i = 0;
 
_OutputIterator __iter_out = __result + __begin_output;
 
__begin = __borders[__num_threads];
__end = __size;
 
for (_IIter __iter = __first + __begin; __iter < __first + __end;
++__iter)
{
if (__iter == __first
|| !__binary_pred(*__iter, *(__iter - 1)))
{
++__i;
*__iter_out++ = *__iter;
}
}
 
__counter[__num_threads] = __i;
}
else
{
for (_ThreadIndex __t = 0; __t < __iam; __t++)
__begin_output += __counter[__t];
 
_OutputIterator __iter_out = __result + __begin_output;
for (_IIter __iter = __first + __begin; __iter < __first + __end;
++__iter)
{
if (!__binary_pred(*__iter, *(__iter - 1)))
*__iter_out++ = *__iter;
}
}
}
 
_DifferenceType __end_output = 0;
for (_ThreadIndex __t = 0; __t < __num_threads + 1; __t++)
__end_output += __counter[__t];
 
delete[] __borders;
 
return __result + __end_output;
}
 
/** @brief Parallel std::unique_copy(), without explicit equality predicate
* @param __first Begin iterator of input sequence.
* @param __last End iterator of input sequence.
* @param __result Begin iterator of result __sequence.
* @return End iterator of result __sequence. */
template<typename _IIter, class _OutputIterator>
inline _OutputIterator
__parallel_unique_copy(_IIter __first, _IIter __last,
_OutputIterator __result)
{
typedef typename std::iterator_traits<_IIter>::value_type
_ValueType;
return __parallel_unique_copy(__first, __last, __result,
std::equal_to<_ValueType>());
}
 
}//namespace __gnu_parallel
 
#endif /* _GLIBCXX_PARALLEL_UNIQUE_COPY_H */
/contrib/toolchain/gcc/5x/libstdc++-v3/include/parallel/workstealing.h
0,0 → 1,312
// -*- C++ -*-
 
// Copyright (C) 2007-2015 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the terms
// of the GNU General Public License as published by the Free Software
// Foundation; either version 3, or (at your option) any later
// version.
 
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// General Public License for more details.
 
// Under Section 7 of GPL version 3, you are granted additional
// permissions described in the GCC Runtime Library Exception, version
// 3.1, as published by the Free Software Foundation.
 
// You should have received a copy of the GNU General Public License and
// a copy of the GCC Runtime Library Exception along with this program;
// see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
// <http://www.gnu.org/licenses/>.
 
/** @file parallel/workstealing.h
* @brief Parallelization of embarrassingly parallel execution by
* means of work-stealing.
*
* Work stealing is described in
*
* R. D. Blumofe and C. E. Leiserson.
* Scheduling multithreaded computations by work stealing.
* Journal of the ACM, 46(5):720–748, 1999.
*
* This file is a GNU parallel extension to the Standard C++ Library.
*/
 
// Written by Felix Putze.
 
#ifndef _GLIBCXX_PARALLEL_WORKSTEALING_H
#define _GLIBCXX_PARALLEL_WORKSTEALING_H 1
 
#include <parallel/parallel.h>
#include <parallel/random_number.h>
#include <parallel/compatibility.h>
 
namespace __gnu_parallel
{
 
#define _GLIBCXX_JOB_VOLATILE volatile
 
/** @brief One __job for a certain thread. */
template<typename _DifferenceTp>
struct _Job
{
typedef _DifferenceTp _DifferenceType;
 
/** @brief First element.
*
* Changed by owning and stealing thread. By stealing thread,
* always incremented. */
_GLIBCXX_JOB_VOLATILE _DifferenceType _M_first;
 
/** @brief Last element.
*
* Changed by owning thread only. */
_GLIBCXX_JOB_VOLATILE _DifferenceType _M_last;
 
/** @brief Number of elements, i.e. @c _M_last-_M_first+1.
*
* Changed by owning thread only. */
_GLIBCXX_JOB_VOLATILE _DifferenceType _M_load;
};
 
/** @brief Work stealing algorithm for random access iterators.
*
* Uses O(1) additional memory. Synchronization at job lists is
* done with atomic operations.
* @param __begin Begin iterator of element sequence.
* @param __end End iterator of element sequence.
* @param __op User-supplied functor (comparator, predicate, adding
* functor, ...).
* @param __f Functor to @a process an element with __op (depends on
* desired functionality, e. g. for std::for_each(), ...).
* @param __r Functor to @a add a single __result to the already
* processed elements (depends on functionality).
* @param __base Base value for reduction.
* @param __output Pointer to position where final result is written to
* @param __bound Maximum number of elements processed (e. g. for
* std::count_n()).
* @return User-supplied functor (that may contain a part of the result).
*/
template<typename _RAIter,
typename _Op,
typename _Fu,
typename _Red,
typename _Result>
_Op
__for_each_template_random_access_workstealing(_RAIter __begin,
_RAIter __end, _Op __op,
_Fu& __f, _Red __r,
_Result __base,
_Result& __output,
typename std::iterator_traits<_RAIter>::difference_type __bound)
{
_GLIBCXX_CALL(__end - __begin)
 
typedef std::iterator_traits<_RAIter> _TraitsType;
typedef typename _TraitsType::difference_type _DifferenceType;
 
const _Settings& __s = _Settings::get();
 
_DifferenceType __chunk_size =
static_cast<_DifferenceType>(__s.workstealing_chunk_size);
 
// How many jobs?
_DifferenceType __length = (__bound < 0) ? (__end - __begin) : __bound;
 
// To avoid false sharing in a cache line.
const int __stride = (__s.cache_line_size * 10
/ sizeof(_Job<_DifferenceType>) + 1);
 
// Total number of threads currently working.
_ThreadIndex __busy = 0;
 
_Job<_DifferenceType> *__job;
 
omp_lock_t __output_lock;
omp_init_lock(&__output_lock);
 
// Write base value to output.
__output = __base;
 
// No more threads than jobs, at least one thread.
_ThreadIndex __num_threads = __gnu_parallel::max<_ThreadIndex>
(1, __gnu_parallel::min<_DifferenceType>(__length,
__get_max_threads()));
 
# pragma omp parallel shared(__busy) num_threads(__num_threads)
{
# pragma omp single
{
__num_threads = omp_get_num_threads();
 
// Create job description array.
__job = new _Job<_DifferenceType>[__num_threads * __stride];
}
 
// Initialization phase.
 
// Flags for every thread if it is doing productive work.
bool __iam_working = false;
 
// Thread id.
_ThreadIndex __iam = omp_get_thread_num();
 
// This job.
_Job<_DifferenceType>& __my_job = __job[__iam * __stride];
 
// Random number (for work stealing).
_ThreadIndex __victim;
 
// Local value for reduction.
_Result __result = _Result();
 
// Number of elements to steal in one attempt.
_DifferenceType __steal;
 
// Every thread has its own random number generator
// (modulo __num_threads).
_RandomNumber __rand_gen(__iam, __num_threads);
 
// This thread is currently working.
# pragma omp atomic
++__busy;
 
__iam_working = true;
 
// How many jobs per thread? last thread gets the rest.
__my_job._M_first = static_cast<_DifferenceType>
(__iam * (__length / __num_threads));
 
__my_job._M_last = (__iam == (__num_threads - 1)
? (__length - 1)
: ((__iam + 1) * (__length / __num_threads) - 1));
__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
 
// Init result with _M_first value (to have a base value for reduction)
if (__my_job._M_first <= __my_job._M_last)
{
// Cannot use volatile variable directly.
_DifferenceType __my_first = __my_job._M_first;
__result = __f(__op, __begin + __my_first);
++__my_job._M_first;
--__my_job._M_load;
}
 
_RAIter __current;
 
# pragma omp barrier
 
// Actual work phase
// Work on own or stolen current start
while (__busy > 0)
{
// Work until no productive thread left.
# pragma omp flush(__busy)
 
// Thread has own work to do
while (__my_job._M_first <= __my_job._M_last)
{
// fetch-and-add call
// Reserve current job block (size __chunk_size) in my queue.
_DifferenceType __current_job =
__fetch_and_add<_DifferenceType>(&(__my_job._M_first),
__chunk_size);
 
// Update _M_load, to make the three values consistent,
// _M_first might have been changed in the meantime
__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
for (_DifferenceType __job_counter = 0;
__job_counter < __chunk_size
&& __current_job <= __my_job._M_last;
++__job_counter)
{
// Yes: process it!
__current = __begin + __current_job;
++__current_job;
 
// Do actual work.
__result = __r(__result, __f(__op, __current));
}
 
# pragma omp flush(__busy)
}
 
// After reaching this point, a thread's __job list is empty.
if (__iam_working)
{
// This thread no longer has work.
# pragma omp atomic
--__busy;
 
__iam_working = false;
}
 
_DifferenceType __supposed_first, __supposed_last,
__supposed_load;
do
{
// Find random nonempty deque (not own), do consistency check.
__yield();
# pragma omp flush(__busy)
__victim = __rand_gen();
__supposed_first = __job[__victim * __stride]._M_first;
__supposed_last = __job[__victim * __stride]._M_last;
__supposed_load = __job[__victim * __stride]._M_load;
}
while (__busy > 0
&& ((__supposed_load <= 0)
|| ((__supposed_first + __supposed_load - 1)
!= __supposed_last)));
 
if (__busy == 0)
break;
 
if (__supposed_load > 0)
{
// Has work and work to do.
// Number of elements to steal (at least one).
__steal = (__supposed_load < 2) ? 1 : __supposed_load / 2;
 
// Push __victim's current start forward.
_DifferenceType __stolen_first =
__fetch_and_add<_DifferenceType>
(&(__job[__victim * __stride]._M_first), __steal);
_DifferenceType __stolen_try = (__stolen_first + __steal
- _DifferenceType(1));
 
__my_job._M_first = __stolen_first;
__my_job._M_last = __gnu_parallel::min(__stolen_try,
__supposed_last);
__my_job._M_load = __my_job._M_last - __my_job._M_first + 1;
 
// Has potential work again.
# pragma omp atomic
++__busy;
__iam_working = true;
 
# pragma omp flush(__busy)
}
# pragma omp flush(__busy)
} // end while __busy > 0
// Add accumulated result to output.
omp_set_lock(&__output_lock);
__output = __r(__output, __result);
omp_unset_lock(&__output_lock);
}
 
delete[] __job;
 
// Points to last element processed (needed as return value for
// some algorithms like transform)
__f._M_finish_iterator = __begin + __length;
 
omp_destroy_lock(&__output_lock);
 
return __op;
}
} // end namespace
 
#endif /* _GLIBCXX_PARALLEL_WORKSTEALING_H */