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Diffstat (limited to 'third_party/abseil_cpp/absl/numeric/int128_benchmark.cc')
-rw-r--r-- | third_party/abseil_cpp/absl/numeric/int128_benchmark.cc | 282 |
1 files changed, 282 insertions, 0 deletions
diff --git a/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc new file mode 100644 index 0000000000..eab1515c0a --- /dev/null +++ b/third_party/abseil_cpp/absl/numeric/int128_benchmark.cc @@ -0,0 +1,282 @@ +// Copyright 2017 The Abseil Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// https://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include <algorithm> +#include <cstdint> +#include <limits> +#include <random> +#include <vector> + +#include "benchmark/benchmark.h" +#include "absl/base/config.h" +#include "absl/numeric/int128.h" + +namespace { + +constexpr size_t kSampleSize = 1000000; + +std::mt19937 MakeRandomEngine() { + std::random_device r; + std::seed_seq seed({r(), r(), r(), r(), r(), r(), r(), r()}); + return std::mt19937(seed); +} + +template <typename T, + typename H = typename std::conditional< + std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type> +std::vector<std::pair<T, T>> GetRandomClass128SampleUniformDivisor() { + std::vector<std::pair<T, T>> values; + std::mt19937 random = MakeRandomEngine(); + std::uniform_int_distribution<H> uniform_h; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + T a{absl::MakeUint128(uniform_h(random), uniform_h(random))}; + T b{absl::MakeUint128(uniform_h(random), uniform_h(random))}; + values.emplace_back(std::max(a, b), std::max(T(2), std::min(a, b))); + } + return values; +} + +template <typename T> +void BM_DivideClass128UniformDivisor(benchmark::State& state) { + auto values = GetRandomClass128SampleUniformDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first / pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::uint128); +BENCHMARK_TEMPLATE(BM_DivideClass128UniformDivisor, absl::int128); + +template <typename T> +void BM_RemainderClass128UniformDivisor(benchmark::State& state) { + auto values = GetRandomClass128SampleUniformDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first % pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::uint128); +BENCHMARK_TEMPLATE(BM_RemainderClass128UniformDivisor, absl::int128); + +template <typename T, + typename H = typename std::conditional< + std::numeric_limits<T>::is_signed, int64_t, uint64_t>::type> +std::vector<std::pair<T, H>> GetRandomClass128SampleSmallDivisor() { + std::vector<std::pair<T, H>> values; + std::mt19937 random = MakeRandomEngine(); + std::uniform_int_distribution<H> uniform_h; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + T a{absl::MakeUint128(uniform_h(random), uniform_h(random))}; + H b{std::max(H{2}, uniform_h(random))}; + values.emplace_back(std::max(a, T(b)), b); + } + return values; +} + +template <typename T> +void BM_DivideClass128SmallDivisor(benchmark::State& state) { + auto values = GetRandomClass128SampleSmallDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first / pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::uint128); +BENCHMARK_TEMPLATE(BM_DivideClass128SmallDivisor, absl::int128); + +template <typename T> +void BM_RemainderClass128SmallDivisor(benchmark::State& state) { + auto values = GetRandomClass128SampleSmallDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first % pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::uint128); +BENCHMARK_TEMPLATE(BM_RemainderClass128SmallDivisor, absl::int128); + +std::vector<std::pair<absl::uint128, absl::uint128>> GetRandomClass128Sample() { + std::vector<std::pair<absl::uint128, absl::uint128>> values; + std::mt19937 random = MakeRandomEngine(); + std::uniform_int_distribution<uint64_t> uniform_uint64; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + values.emplace_back( + absl::MakeUint128(uniform_uint64(random), uniform_uint64(random)), + absl::MakeUint128(uniform_uint64(random), uniform_uint64(random))); + } + return values; +} + +void BM_MultiplyClass128(benchmark::State& state) { + auto values = GetRandomClass128Sample(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first * pair.second); + } + } +} +BENCHMARK(BM_MultiplyClass128); + +void BM_AddClass128(benchmark::State& state) { + auto values = GetRandomClass128Sample(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first + pair.second); + } + } +} +BENCHMARK(BM_AddClass128); + +#ifdef ABSL_HAVE_INTRINSIC_INT128 + +// Some implementations of <random> do not support __int128 when it is +// available, so we make our own uniform_int_distribution-like type. +template <typename T, + typename H = typename std::conditional< + std::is_same<T, __int128>::value, int64_t, uint64_t>::type> +class UniformIntDistribution128 { + public: + // NOLINTNEXTLINE: mimicking std::uniform_int_distribution API + T operator()(std::mt19937& generator) { + return (static_cast<T>(dist64_(generator)) << 64) | dist64_(generator); + } + + private: + std::uniform_int_distribution<H> dist64_; +}; + +template <typename T, + typename H = typename std::conditional< + std::is_same<T, __int128>::value, int64_t, uint64_t>::type> +std::vector<std::pair<T, T>> GetRandomIntrinsic128SampleUniformDivisor() { + std::vector<std::pair<T, T>> values; + std::mt19937 random = MakeRandomEngine(); + UniformIntDistribution128<T> uniform_128; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + T a = uniform_128(random); + T b = uniform_128(random); + values.emplace_back(std::max(a, b), + std::max(static_cast<T>(2), std::min(a, b))); + } + return values; +} + +template <typename T> +void BM_DivideIntrinsic128UniformDivisor(benchmark::State& state) { + auto values = GetRandomIntrinsic128SampleUniformDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first / pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, unsigned __int128); +BENCHMARK_TEMPLATE(BM_DivideIntrinsic128UniformDivisor, __int128); + +template <typename T> +void BM_RemainderIntrinsic128UniformDivisor(benchmark::State& state) { + auto values = GetRandomIntrinsic128SampleUniformDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first % pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, unsigned __int128); +BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128UniformDivisor, __int128); + +template <typename T, + typename H = typename std::conditional< + std::is_same<T, __int128>::value, int64_t, uint64_t>::type> +std::vector<std::pair<T, H>> GetRandomIntrinsic128SampleSmallDivisor() { + std::vector<std::pair<T, H>> values; + std::mt19937 random = MakeRandomEngine(); + UniformIntDistribution128<T> uniform_int128; + std::uniform_int_distribution<H> uniform_int64; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + T a = uniform_int128(random); + H b = std::max(H{2}, uniform_int64(random)); + values.emplace_back(std::max(a, static_cast<T>(b)), b); + } + return values; +} + +template <typename T> +void BM_DivideIntrinsic128SmallDivisor(benchmark::State& state) { + auto values = GetRandomIntrinsic128SampleSmallDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first / pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, unsigned __int128); +BENCHMARK_TEMPLATE(BM_DivideIntrinsic128SmallDivisor, __int128); + +template <typename T> +void BM_RemainderIntrinsic128SmallDivisor(benchmark::State& state) { + auto values = GetRandomIntrinsic128SampleSmallDivisor<T>(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first % pair.second); + } + } +} +BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, unsigned __int128); +BENCHMARK_TEMPLATE(BM_RemainderIntrinsic128SmallDivisor, __int128); + +std::vector<std::pair<unsigned __int128, unsigned __int128>> + GetRandomIntrinsic128Sample() { + std::vector<std::pair<unsigned __int128, unsigned __int128>> values; + std::mt19937 random = MakeRandomEngine(); + UniformIntDistribution128<unsigned __int128> uniform_uint128; + values.reserve(kSampleSize); + for (size_t i = 0; i < kSampleSize; ++i) { + values.emplace_back(uniform_uint128(random), uniform_uint128(random)); + } + return values; +} + +void BM_MultiplyIntrinsic128(benchmark::State& state) { + auto values = GetRandomIntrinsic128Sample(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first * pair.second); + } + } +} +BENCHMARK(BM_MultiplyIntrinsic128); + +void BM_AddIntrinsic128(benchmark::State& state) { + auto values = GetRandomIntrinsic128Sample(); + while (state.KeepRunningBatch(values.size())) { + for (const auto& pair : values) { + benchmark::DoNotOptimize(pair.first + pair.second); + } + } +} +BENCHMARK(BM_AddIntrinsic128); + +#endif // ABSL_HAVE_INTRINSIC_INT128 + +} // namespace |