sfizz/benchmarks/BM_ramp.cpp

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2019-08-22 12:05:28 +02:00
#include <benchmark/benchmark.h>
#include <random>
#include "../sources/SIMDHelpers.h"
#include "../sources/Buffer.h"
static void Dummy(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
benchmark::DoNotOptimize(value);
}
}
static void LinearScalar(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
linearRamp<float, false>(absl::MakeSpan(output), 0.0f, value);
}
}
static void LinearSIMD(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
linearRamp<float, true>(absl::MakeSpan(output), 0.0f, value);
}
}
static void LinearScalarUnaligned(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
linearRamp<float, false>(absl::MakeSpan(output).subspan(1), 0.0f, value);
}
}
static void LinearSIMDUnaligned(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
linearRamp<float, true>(absl::MakeSpan(output).subspan(1), 0.0f, value);
}
}
static void MulScalar(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
multiplicativeRamp<float, false>(absl::MakeSpan(output), 1.0f, value);
}
}
static void MulSIMD(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
multiplicativeRamp<float, true>(absl::MakeSpan(output), 1.0f, value);
}
}
static void MulScalarUnaligned(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
multiplicativeRamp<float, false>(absl::MakeSpan(output).subspan(1), 1.0f, value);
}
}
static void MulSIMDUnaligned(benchmark::State& state) {
Buffer<float> output(state.range(0));
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 1, 2 };
for (auto _ : state)
{
auto value = dist(gen);
multiplicativeRamp<float, true>(absl::MakeSpan(output).subspan(1), 1.0f, value);
}
}
// Register the function as a benchmark
BENCHMARK(Dummy)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(LinearScalar)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(LinearSIMD)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(LinearScalarUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(LinearSIMDUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(MulScalar)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(MulSIMD)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(MulScalarUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK(MulSIMDUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
BENCHMARK_MAIN();