87 lines
2.9 KiB
C++
87 lines
2.9 KiB
C++
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#include <benchmark/benchmark.h>
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#include <random>
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#include <numeric>
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#include <vector>
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#include <cmath>
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#include <iostream>
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#include "../sources/SIMDHelpers.h"
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static void Dummy(benchmark::State& state) {
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::vector<float> source(state.range(0));
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std::vector<float> result(state.range(0));
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std::normal_distribution<float> dist { };
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std::generate(source.begin(), source.end(), [&]() { return dist(gen); });
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for (auto _ : state)
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{
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for (int i = 0; i < state.range(0); ++i)
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result[i] = source[i];
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benchmark::DoNotOptimize(result);
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}
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}
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static void StdExp(benchmark::State& state) {
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::vector<float> source(state.range(0));
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std::vector<float> result(state.range(0));
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std::normal_distribution<float> dist { };
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std::generate(source.begin(), source.end(), [&]() { return dist(gen); });
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for (auto _ : state)
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{
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for (int i = 0; i < state.range(0); ++i)
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result[i] = std::exp(source[i]);
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benchmark::DoNotOptimize(result);
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}
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}
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// static void StdExpOMP(benchmark::State& state) {
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// std::random_device rd { };
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// std::mt19937 gen { rd() };
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// std::vector<float> source(state.range(0));
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// std::vector<float> result(state.range(0));
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// std::normal_distribution<float> dist { };
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// std::generate(source.begin(), source.end(), [&]() { return dist(gen); });
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// for (auto _ : state)
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// {
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// #pragma omp simd
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// for (int i = 0; i < state.range(0); ++i)
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// result[i] = std::exp(source[i]);
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// benchmark::DoNotOptimize(result);
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// }
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// }
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static void Scalar(benchmark::State& state) {
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::vector<float> source(state.range(0));
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std::vector<float> result(state.range(0));
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std::normal_distribution<float> dist { };
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std::generate(source.begin(), source.end(), [&]() { return dist(gen); });
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for (auto _ : state)
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{
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exp<float, false>(source, absl::MakeSpan(result));
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benchmark::DoNotOptimize(result);
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}
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}
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static void SIMD(benchmark::State& state) {
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::vector<float> source(state.range(0));
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std::vector<float> result(state.range(0));
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std::normal_distribution<float> dist { };
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std::generate(source.begin(), source.end(), [&]() { return dist(gen); });
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for (auto _ : state)
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{
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exp<float, true>(source, absl::MakeSpan(result));
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benchmark::DoNotOptimize(result);
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}
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}
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BENCHMARK(Dummy)->RangeMultiplier(2)->Range(1 << 6, 1 << 10);
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BENCHMARK(StdExp)->RangeMultiplier(2)->Range(1 << 6, 1 << 10);
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BENCHMARK(Scalar)->RangeMultiplier(2)->Range(1 << 6, 1 << 10);
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BENCHMARK(SIMD)->RangeMultiplier(2)->Range(1 << 6, 1 << 10);
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BENCHMARK_MAIN();
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