sfizz/benchmarks/BM_gain.cpp

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// Copyright (c) 2019, Paul Ferrand
// All rights reserved.
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
// 1. Redistributions of source code must retain the above copyright notice, this
// list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include "SIMDHelpers.h"
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#include <benchmark/benchmark.h>
#include <random>
#include <numeric>
#include <vector>
#include <cmath>
#include <iostream>
class GainSingle : public benchmark::Fixture {
public:
void SetUp(const ::benchmark::State& state) {
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 0, 1 };
input = std::vector<float>(state.range(0));
output = std::vector<float>(state.range(0));
gain = dist(gen);
std::generate(input.begin(), input.end(), [&]() { return dist(gen); });
}
void TearDown(const ::benchmark::State& state [[maybe_unused]]) {
}
float gain;
std::vector<float> input;
std::vector<float> output;
};
class GainArray : public benchmark::Fixture {
public:
void SetUp(const ::benchmark::State& state) {
std::random_device rd { };
std::mt19937 gen { rd() };
std::uniform_real_distribution<float> dist { 0, 1 };
input = std::vector<float>(state.range(0));
output = std::vector<float>(state.range(0));
gain = std::vector<float>(state.range(0));
std::generate(gain.begin(), gain.end(), [&]() { return dist(gen); });
std::generate(input.begin(), input.end(), [&]() { return dist(gen); });
}
void TearDown(const ::benchmark::State& state [[maybe_unused]]) {
}
std::vector<float> gain;
std::vector<float> input;
std::vector<float> output;
};
BENCHMARK_DEFINE_F(GainSingle, Straight)(benchmark::State& state) {
for (auto _ : state)
{
for (int i = 0; i < state.range(0); ++i)
output[i] = gain * input[i];
}
}
BENCHMARK_DEFINE_F(GainSingle, Scalar)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, false>(gain, input, absl::MakeSpan(output));
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}
}
BENCHMARK_DEFINE_F(GainSingle, SIMD)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, true>(gain, input, absl::MakeSpan(output));
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}
}
BENCHMARK_DEFINE_F(GainArray, Straight)(benchmark::State& state) {
for (auto _ : state)
{
for (int i = 0; i < state.range(0); ++i)
output[i] = gain[i] * input[i];
}
}
BENCHMARK_DEFINE_F(GainArray, Scalar)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, false>(gain, input, absl::MakeSpan(output));
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}
}
BENCHMARK_DEFINE_F(GainArray, SIMD)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, true>(gain, input, absl::MakeSpan(output));
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}
}
BENCHMARK_DEFINE_F(GainArray, Scalar_Unaligned)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, false>(absl::MakeSpan(gain).subspan(1), absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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}
}
BENCHMARK_DEFINE_F(GainArray, SIMD_Unaligned)(benchmark::State& state) {
for (auto _ : state)
{
sfz::applyGain<float, true>(absl::MakeSpan(gain).subspan(1), absl::MakeSpan(input).subspan(1), absl::MakeSpan(output).subspan(1));
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}
}
BENCHMARK_REGISTER_F(GainSingle, Straight)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainSingle, Scalar)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainSingle, SIMD)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainArray, Straight)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainArray, Scalar)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainArray, SIMD)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainArray, Scalar_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
BENCHMARK_REGISTER_F(GainArray, SIMD_Unaligned)->RangeMultiplier(4)->Range(1 << 2, 1 << 12);
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BENCHMARK_MAIN();