blob: 47c8da7d8f08ea05a9d2b4879a381205065a7f99 [file] [log] [blame]
#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();