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86 lines
2.7 KiB
C++
86 lines
2.7 KiB
C++
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "common/FastMem.h"
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#include <algorithm>
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#include <array>
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#include <cstddef>
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#include <cstdint>
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#include <cstring>
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#include <vector>
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#include <benchmark/benchmark.h>
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namespace milvus::fastmem {
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namespace {
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constexpr size_t kBufferSize = 4096;
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std::vector<uint8_t>
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MakeBenchmarkSource() {
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std::vector<uint8_t> source(kBufferSize);
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for (size_t i = 0; i < source.size(); ++i) {
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source[i] = static_cast<uint8_t>((i * 131 + 17) & 0xFF);
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}
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return source;
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}
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void
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StdMemcpyBenchmark(benchmark::State& state) {
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auto source = MakeBenchmarkSource();
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std::vector<uint8_t> destination(kBufferSize);
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auto size = static_cast<size_t>(state.range(0));
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for (auto _ : state) {
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std::memcpy(destination.data(), source.data(), size);
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benchmark::DoNotOptimize(destination.data());
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benchmark::DoNotOptimize(source.data());
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benchmark::ClobberMemory();
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}
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state.SetBytesProcessed(state.iterations() * static_cast<int64_t>(size));
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}
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void
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FastMemcpyBenchmark(benchmark::State& state) {
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auto source = MakeBenchmarkSource();
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std::vector<uint8_t> destination(kBufferSize);
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auto size = static_cast<size_t>(state.range(0));
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for (auto _ : state) {
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FastMemcpy(destination.data(), source.data(), size);
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benchmark::DoNotOptimize(destination.data());
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benchmark::DoNotOptimize(source.data());
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benchmark::ClobberMemory();
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}
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state.SetBytesProcessed(state.iterations() * static_cast<int64_t>(size));
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}
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void
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ApplyFastMemArgs(benchmark::internal::Benchmark* benchmark) {
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for (auto size : std::array<int64_t, 9>{1, 2, 4, 8, 16, 32, 64, 128, 256}) {
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benchmark->Arg(size);
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}
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}
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} // namespace
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} // namespace milvus::fastmem
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BENCHMARK(milvus::fastmem::StdMemcpyBenchmark)
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->Apply(milvus::fastmem::ApplyFastMemArgs);
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BENCHMARK(milvus::fastmem::FastMemcpyBenchmark)
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->Apply(milvus::fastmem::ApplyFastMemArgs);
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BENCHMARK_MAIN();
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