mirror of
https://github.com/mhx/dwarfs.git
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154 lines
4.8 KiB
C++
154 lines
4.8 KiB
C++
/* vim:set ts=2 sw=2 sts=2 et: */
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/**
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* \author Marcus Holland-Moritz (github@mhxnet.de)
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* \copyright Copyright (c) Marcus Holland-Moritz
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*
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* This file is part of ricepp.
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*
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* ricepp is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* ricepp is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with ricepp. If not, see <https://www.gnu.org/licenses/>.
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*/
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#include <iostream>
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#include <random>
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#include <benchmark/benchmark.h>
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#include <ricepp/byteswap.h>
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#include <ricepp/ricepp.h>
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namespace {
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struct random_config {
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std::endian byteorder{std::endian::big};
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unsigned unused_lsb{0};
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unsigned noise_bits{0};
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unsigned full_bits{0};
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double full_freq{0.0};
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};
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template <std::unsigned_integral ValueType>
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std::vector<ValueType> generate_random_data(std::mt19937_64& rng, size_t count,
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random_config const& cfg) {
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std::exponential_distribution<double> full_freq_dist(cfg.full_freq);
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std::uniform_int_distribution<ValueType> noise(
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0, (UINT64_C(1) << (cfg.noise_bits + cfg.unused_lsb)) - 1);
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std::uniform_int_distribution<ValueType> full(
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0, (UINT64_C(1) << (cfg.full_bits + cfg.unused_lsb)) - 1);
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std::vector<ValueType> data(count);
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ValueType mask = static_cast<ValueType>(std::numeric_limits<ValueType>::max()
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<< cfg.unused_lsb);
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std::generate(data.begin(), data.end(), [&]() {
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return ricepp::byteswap<ValueType>(
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(full_freq_dist(rng) <= 1.0 ? full(rng) : noise(rng)) & mask,
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cfg.byteorder);
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});
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return data;
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}
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class ricepp_bm : public ::benchmark::Fixture {
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public:
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void SetUp(::benchmark::State const& state) {
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if (state.thread_index() > 0) {
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return;
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}
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std::mt19937_64 rng(42);
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data_ = generate_random_data<uint16_t>(
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rng, state.range(0),
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{
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.byteorder =
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state.range(1) ? std::endian::big : std::endian::little,
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.unused_lsb = static_cast<unsigned>(state.range(2)),
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.noise_bits = static_cast<unsigned>(state.range(3)),
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.full_bits = static_cast<unsigned>(state.range(4)),
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.full_freq = 1.0 / state.range(5),
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});
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codec_ = ricepp::create_codec<uint16_t>({
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.block_size = static_cast<size_t>(state.range(6)),
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.component_stream_count = static_cast<unsigned>(state.range(7)),
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.byteorder = state.range(1) ? std::endian::big : std::endian::little,
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.unused_lsb_count = static_cast<unsigned>(state.range(2)),
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});
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encoded_ = codec_->encode(data_);
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}
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void TearDown(::benchmark::State const&) {}
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std::unique_ptr<ricepp::codec_interface<uint16_t>> codec_;
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std::vector<uint16_t> data_;
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std::vector<uint8_t> encoded_;
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};
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void ricepp_params(benchmark::internal::Benchmark* b) {
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b->ArgNames({"size", "bo", "ulsb", "noise", "full", "freq", "bs", "cs"});
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for (int64_t size : {1024 * 1024, 8 * 1024 * 1024}) {
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for (int bo : {0, 1}) {
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for (int cs : {1, 2}) {
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b->Args({size, bo, 0, 6, 16, 10, 128, cs});
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}
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}
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}
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for (int64_t bs : {16, 32, 64, 128, 256, 512}) {
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b->Args({1024 * 1024, 1, 0, 6, 16, 10, bs, 1});
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}
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for (int64_t full_freq : {2, 4, 8, 16, 32}) {
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b->Args({1024 * 1024, 1, 0, 6, 16, full_freq, 128, 1});
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}
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// b->Args({1024*1024, 1, 0, 6, 16, 10, 64, 1});
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// b->Args({1024*1024, 1, 4, 6, 12, 10, 64, 1});
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}
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} // namespace
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BENCHMARK_DEFINE_F(ricepp_bm, encode)(::benchmark::State& state) {
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std::vector<uint8_t> encoded;
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encoded.resize(codec_->worst_case_encoded_bytes(data_));
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for (auto _ : state) {
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auto r = codec_->encode(encoded, data_);
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::benchmark::DoNotOptimize(r);
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}
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state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) *
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data_.size() * sizeof(data_[0]));
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}
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BENCHMARK_DEFINE_F(ricepp_bm, decode)(::benchmark::State& state) {
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std::vector<uint16_t> decoded;
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decoded.resize(data_.size());
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for (auto _ : state) {
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codec_->decode(decoded, encoded_);
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}
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state.SetBytesProcessed(static_cast<int64_t>(state.iterations()) *
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data_.size() * sizeof(data_[0]));
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}
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BENCHMARK_REGISTER_F(ricepp_bm, encode)
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->Unit(benchmark::kMillisecond)
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->Apply(ricepp_params)
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->ThreadRange(1, 4)
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->UseRealTime();
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BENCHMARK_REGISTER_F(ricepp_bm, decode)
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->Unit(benchmark::kMillisecond)
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->Apply(ricepp_params)
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->ThreadRange(1, 4)
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->UseRealTime();
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BENCHMARK_MAIN();
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