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