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1 // -*- C++ -*-
2
3 // Copyright (C) 2007, 2008, 2009 Free Software Foundation, Inc.
4 //
5 // This file is part of the GNU ISO C++ Library. This library is free
6 // software; you can redistribute it and/or modify it under the terms
7 // of the GNU General Public License as published by the Free Software
8 // Foundation; either version 3, or (at your option) any later
9 // version.
10
11 // This library is distributed in the hope that it will be useful, but
12 // WITHOUT ANY WARRANTY; without even the implied warranty of
13 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
14 // General Public License for more details.
15
16 // Under Section 7 of GPL version 3, you are granted additional
17 // permissions described in the GCC Runtime Library Exception, version
18 // 3.1, as published by the Free Software Foundation.
19
20 // You should have received a copy of the GNU General Public License and
21 // a copy of the GCC Runtime Library Exception along with this program;
22 // see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
23 // <http://www.gnu.org/licenses/>.
24
25 /** @file parallel/settings.h
26 * @brief Runtime settings and tuning parameters, heuristics to decide
27 * whether to use parallelized algorithms.
28 * This file is a GNU parallel extension to the Standard C++ Library.
29 *
30 * @section parallelization_decision
31 * The decision whether to run an algorithm in parallel.
32 *
33 * There are several ways the user can switch on and off the parallel
34 * execution of an algorithm, both at compile- and run-time.
35 *
36 * Only sequential execution can be forced at compile-time. This
37 * reduces code size and protects code parts that have
38 * non-thread-safe side effects.
39 *
40 * Ultimately, forcing parallel execution at compile-time makes
41 * sense. Often, the sequential algorithm implementation is used as
42 * a subroutine, so no reduction in code size can be achieved. Also,
43 * the machine the program is run on might have only one processor
44 * core, so to avoid overhead, the algorithm is executed
45 * sequentially.
46 *
47 * To force sequential execution of an algorithm ultimately at
48 * compile-time, the user must add the tag
49 * __gnu_parallel::sequential_tag() to the end of the parameter list,
50 * e. g.
51 *
52 * \code
53 * std::sort(v.begin(), v.end(), __gnu_parallel::sequential_tag());
54 * \endcode
55 *
56 * This is compatible with all overloaded algorithm variants. No
57 * additional code will be instantiated, at all. The same holds for
58 * most algorithm calls with iterators not providing random access.
59 *
60 * If the algorithm call is not forced to be executed sequentially
61 * at compile-time, the decision is made at run-time.
62 * The global variable __gnu_parallel::_Settings::algorithm_strategy
63 * is checked. It is a tristate variable corresponding to:
64 *
65 * a. force_sequential, meaning the sequential algorithm is executed.
66 * b. force_parallel, meaning the parallel algorithm is executed.
67 * c. heuristic
68 *
69 * For heuristic, the parallel algorithm implementation is called
70 * only if the input size is sufficiently large. For most
71 * algorithms, the input size is the (combined) length of the input
72 * sequence(s). The threshold can be set by the user, individually
73 * for each algorithm. The according variables are called
74 * __gnu_parallel::_Settings::[algorithm]_minimal_n .
75 *
76 * For some of the algorithms, there are even more tuning options,
77 * e. g. the ability to choose from multiple algorithm variants. See
78 * below for details.
79 */
80
81 // Written by Johannes Singler and Felix Putze.
82
83 #ifndef _GLIBCXX_PARALLEL_SETTINGS_H
84 #define _GLIBCXX_PARALLEL_SETTINGS_H 1
85
86 #include <parallel/types.h>
87
88 /**
89 * @brief Determine at compile(?)-time if the parallel variant of an
90 * algorithm should be called.
91 * @param c A condition that is convertible to bool that is overruled by
92 * __gnu_parallel::_Settings::algorithm_strategy. Usually a decision
93 * based on the input size.
94 */
95 #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))
96
97 /*
98 inline bool
99 parallel_condition(bool c)
100 {
101 bool ret = false;
102 const _Settings& s = _Settings::get();
103 if (s.algorithm_strategy != force_seqential)
104 {
105 if (s.algorithm_strategy == force_parallel)
106 ret = true;
107 else
108 ret = get_max_threads() > 1 && c;
109 }
110 return ret;
111 }
112 */
113
114 namespace __gnu_parallel
115 {
116 /// class _Settings
117 /// Run-time settings for the parallel mode, including all tunable parameters.
118 struct _Settings
119 {
120 _AlgorithmStrategy algorithm_strategy;
121
122 _SortAlgorithm sort_algorithm;
123 _PartialSumAlgorithm partial_sum_algorithm;
124 _MultiwayMergeAlgorithm multiway_merge_algorithm;
125 _FindAlgorithm find_algorithm;
126
127 _SplittingAlgorithm sort_splitting;
128 _SplittingAlgorithm merge_splitting;
129 _SplittingAlgorithm multiway_merge_splitting;
130
131 // Per-algorithm settings.
132
133 /// Minimal input size for accumulate.
134 sequence_index_t accumulate_minimal_n;
135
136 /// Minimal input size for adjacent_difference.
137 unsigned int adjacent_difference_minimal_n;
138
139 /// Minimal input size for count and count_if.
140 sequence_index_t count_minimal_n;
141
142 /// Minimal input size for fill.
143 sequence_index_t fill_minimal_n;
144
145 /// Block size increase factor for find.
146 double find_increasing_factor;
147
148 /// Initial block size for find.
149 sequence_index_t find_initial_block_size;
150
151 /// Maximal block size for find.
152 sequence_index_t find_maximum_block_size;
153
154 /// Start with looking for this many elements sequentially, for find.
155 sequence_index_t find_sequential_search_size;
156
157 /// Minimal input size for for_each.
158 sequence_index_t for_each_minimal_n;
159
160 /// Minimal input size for generate.
161 sequence_index_t generate_minimal_n;
162
163 /// Minimal input size for max_element.
164 sequence_index_t max_element_minimal_n;
165
166 /// Minimal input size for merge.
167 sequence_index_t merge_minimal_n;
168
169 /// Oversampling factor for merge.
170 unsigned int merge_oversampling;
171
172 /// Minimal input size for min_element.
173 sequence_index_t min_element_minimal_n;
174
175 /// Minimal input size for multiway_merge.
176 sequence_index_t multiway_merge_minimal_n;
177
178 /// Oversampling factor for multiway_merge.
179 int multiway_merge_minimal_k;
180
181 /// Oversampling factor for multiway_merge.
182 unsigned int multiway_merge_oversampling;
183
184 /// Minimal input size for nth_element.
185 sequence_index_t nth_element_minimal_n;
186
187 /// Chunk size for partition.
188 sequence_index_t partition_chunk_size;
189
190 /// Chunk size for partition, relative to input size. If > 0.0,
191 /// this value overrides partition_chunk_size.
192 double partition_chunk_share;
193
194 /// Minimal input size for partition.
195 sequence_index_t partition_minimal_n;
196
197 /// Minimal input size for partial_sort.
198 sequence_index_t partial_sort_minimal_n;
199
200 /// Ratio for partial_sum. Assume "sum and write result" to be
201 /// this factor slower than just "sum".
202 float partial_sum_dilation;
203
204 /// Minimal input size for partial_sum.
205 unsigned int partial_sum_minimal_n;
206
207 /// Minimal input size for random_shuffle.
208 unsigned int random_shuffle_minimal_n;
209
210 /// Minimal input size for replace and replace_if.
211 sequence_index_t replace_minimal_n;
212
213 /// Minimal input size for set_difference.
214 sequence_index_t set_difference_minimal_n;
215
216 /// Minimal input size for set_intersection.
217 sequence_index_t set_intersection_minimal_n;
218
219 /// Minimal input size for set_symmetric_difference.
220 sequence_index_t set_symmetric_difference_minimal_n;
221
222 /// Minimal input size for set_union.
223 sequence_index_t set_union_minimal_n;
224
225 /// Minimal input size for parallel sorting.
226 sequence_index_t sort_minimal_n;
227
228 /// Oversampling factor for parallel std::sort (MWMS).
229 unsigned int sort_mwms_oversampling;
230
231 /// Such many samples to take to find a good pivot (quicksort).
232 unsigned int sort_qs_num_samples_preset;
233
234 /// Maximal subsequence length to switch to unbalanced base case.
235 /// Applies to std::sort with dynamically load-balanced quicksort.
236 sequence_index_t sort_qsb_base_case_maximal_n;
237
238 /// Minimal input size for parallel std::transform.
239 sequence_index_t transform_minimal_n;
240
241 /// Minimal input size for unique_copy.
242 sequence_index_t unique_copy_minimal_n;
243
244 sequence_index_t workstealing_chunk_size;
245
246 // Hardware dependent tuning parameters.
247
248 /// Size of the L1 cache in bytes (underestimation).
249 unsigned long long L1_cache_size;
250
251 /// Size of the L2 cache in bytes (underestimation).
252 unsigned long long L2_cache_size;
253
254 /// Size of the Translation Lookaside Buffer (underestimation).
255 unsigned int TLB_size;
256
257 /// Overestimation of cache line size. Used to avoid false
258 /// sharing, i. e. elements of different threads are at least this
259 /// amount apart.
260 unsigned int cache_line_size;
261
262 // Statistics.
263
264 /// The number of stolen ranges in load-balanced quicksort.
265 sequence_index_t qsb_steals;
266
267 /// Get the global settings.
268 static const _Settings&
269 get() throw();
270
271 /// Set the global settings.
272 static void
273 set(_Settings&) throw();
274
275 explicit
276 _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)
277 { }
278 };
279 }
280
281 #endif /* _GLIBCXX_PARALLEL_SETTINGS_H */