| #include <benchmark/benchmark.h> |
| |
| #include <pthreadpool.h> |
| |
| |
| static void compute_1d(void*, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_1d( |
| threadpool, |
| compute_1d, |
| nullptr /* context */, |
| items * threads, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_1d_tile_1d(void*, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_1d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_1d_tile_1d( |
| threadpool, |
| compute_1d_tile_1d, |
| nullptr /* context */, |
| items * threads, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_1d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_2d(void*, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_2d( |
| threadpool, |
| compute_2d, |
| nullptr /* context */, |
| threads, items, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_2d_tile_1d(void*, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_2d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_2d_tile_1d( |
| threadpool, |
| compute_2d_tile_1d, |
| nullptr /* context */, |
| threads, items, |
| 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_2d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_2d_tile_2d(void*, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_2d_tile_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_2d_tile_2d( |
| threadpool, |
| compute_2d_tile_2d, |
| nullptr /* context */, |
| threads, items, |
| 1, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_2d_tile_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_3d(void*, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_3d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_3d( |
| threadpool, |
| compute_3d, |
| nullptr /* context */, |
| 1, threads, items, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_3d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_3d_tile_1d(void*, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_3d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_3d_tile_1d( |
| threadpool, |
| compute_3d_tile_1d, |
| nullptr /* context */, |
| 1, threads, items, |
| 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_3d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_3d_tile_2d(void*, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_3d_tile_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_3d_tile_2d( |
| threadpool, |
| compute_3d_tile_2d, |
| nullptr /* context */, |
| 1, threads, items, |
| 1, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_3d_tile_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_4d(void*, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_4d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_4d( |
| threadpool, |
| compute_4d, |
| nullptr /* context */, |
| 1, 1, threads, items, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_4d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_4d_tile_1d(void*, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_4d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_4d_tile_1d( |
| threadpool, |
| compute_4d_tile_1d, |
| nullptr /* context */, |
| 1, 1, threads, items, |
| 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_4d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_4d_tile_2d(void*, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_4d_tile_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_4d_tile_2d( |
| threadpool, |
| compute_4d_tile_2d, |
| nullptr /* context */, |
| 1, 1, threads, items, |
| 1, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_4d_tile_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_5d(void*, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_5d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_5d( |
| threadpool, |
| compute_5d, |
| nullptr /* context */, |
| 1, 1, 1, threads, items, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_5d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_5d_tile_1d(void*, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_5d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_5d_tile_1d( |
| threadpool, |
| compute_5d_tile_1d, |
| nullptr /* context */, |
| 1, 1, 1, threads, items, |
| 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_5d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_5d_tile_2d(void*, size_t, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_5d_tile_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_5d_tile_2d( |
| threadpool, |
| compute_5d_tile_2d, |
| nullptr /* context */, |
| 1, 1, 1, threads, items, |
| 1, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_5d_tile_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_6d(void*, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_6d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_6d( |
| threadpool, |
| compute_6d, |
| nullptr /* context */, |
| 1, 1, 1, 1, threads, items, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_6d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_6d_tile_1d(void*, size_t, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_6d_tile_1d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_6d_tile_1d( |
| threadpool, |
| compute_6d_tile_1d, |
| nullptr /* context */, |
| 1, 1, 1, 1, threads, items, |
| 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_6d_tile_1d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| static void compute_6d_tile_2d(void*, size_t, size_t, size_t, size_t, size_t, size_t, size_t, size_t) { |
| } |
| |
| static void pthreadpool_parallelize_6d_tile_2d(benchmark::State& state) { |
| pthreadpool_t threadpool = pthreadpool_create(2); |
| const size_t threads = pthreadpool_get_threads_count(threadpool); |
| const size_t items = static_cast<size_t>(state.range(0)); |
| while (state.KeepRunning()) { |
| pthreadpool_parallelize_6d_tile_2d( |
| threadpool, |
| compute_6d_tile_2d, |
| nullptr /* context */, |
| 1, 1, 1, 1, threads, items, |
| 1, 1, |
| 0 /* flags */); |
| } |
| pthreadpool_destroy(threadpool); |
| |
| /* Do not normalize by thread */ |
| state.SetItemsProcessed(int64_t(state.iterations()) * items); |
| } |
| BENCHMARK(pthreadpool_parallelize_6d_tile_2d)->UseRealTime()->RangeMultiplier(10)->Range(10, 1000000); |
| |
| |
| BENCHMARK_MAIN(); |