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/opt/rh/gcc-toolset-14/root/usr/include/c++/14/parallel/settings.h
// -*- C++ -*-
// Copyright (C) 2007-2024 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 Deciding 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 */
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