137 lines
4.8 KiB
C++
137 lines
4.8 KiB
C++
// SPDX-License-Identifier: BSD-2-Clause
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// This code is part of the sfizz library and is licensed under a BSD 2-clause
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// license. You should have receive a LICENSE.md file along with the code.
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// If not, contact the sfizz maintainers at https://github.com/sfztools/sfizz
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#include "SIMDHelpers.h"
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#include <benchmark/benchmark.h>
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#include <random>
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#include "Buffer.h"
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static void Dummy(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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benchmark::DoNotOptimize(value);
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}
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}
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static void LinearScalar(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::linearRamp, false);
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sfz::linearRamp<float>(absl::MakeSpan(output), 0.0f, value);
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}
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}
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static void LinearSIMD(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::linearRamp, true);
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sfz::linearRamp<float>(absl::MakeSpan(output), 0.0f, value);
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}
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}
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static void LinearScalarUnaligned(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::linearRamp, false);
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sfz::linearRamp<float>(absl::MakeSpan(output).subspan(1), 0.0f, value);
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}
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}
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static void LinearSIMDUnaligned(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::linearRamp, true);
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sfz::linearRamp<float>(absl::MakeSpan(output).subspan(1), 0.0f, value);
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}
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}
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static void MulScalar(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::multiplicativeRamp, false);
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sfz::multiplicativeRamp<float>(absl::MakeSpan(output), 1.0f, value);
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}
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}
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static void MulSIMD(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::multiplicativeRamp, true);
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sfz::multiplicativeRamp<float>(absl::MakeSpan(output), 1.0f, value);
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}
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}
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static void MulScalarUnaligned(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::multiplicativeRamp, false);
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sfz::multiplicativeRamp<float>(absl::MakeSpan(output).subspan(1), 1.0f, value);
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}
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}
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static void MulSIMDUnaligned(benchmark::State& state) {
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sfz::Buffer<float> output(state.range(0));
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std::random_device rd { };
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std::mt19937 gen { rd() };
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std::uniform_real_distribution<float> dist { 1, 2 };
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for (auto _ : state)
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{
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auto value = dist(gen);
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sfz::setSIMDOpStatus(sfz::SIMDOps::multiplicativeRamp, true);
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sfz::multiplicativeRamp<float>(absl::MakeSpan(output).subspan(1), 1.0f, value);
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}
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}
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// Register the function as a benchmark
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BENCHMARK(Dummy)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(LinearScalar)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(LinearSIMD)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(LinearScalarUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(LinearSIMDUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(MulScalar)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(MulSIMD)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(MulScalarUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK(MulSIMDUnaligned)->RangeMultiplier(4)->Range((1 << 2), (1 << 12));
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BENCHMARK_MAIN();
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