69 lines
2.3 KiB
C++
69 lines
2.3 KiB
C++
/*
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* BenchCallback.actor.cpp
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*
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* This source file is part of the FoundationDB open source project
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*
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* Copyright 2013-2020 Apple Inc. and the FoundationDB project authors
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* 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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*/
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#include "benchmark/benchmark.h"
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#include <vector>
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#include "fdbclient/FDBTypes.h"
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#include "flow/flow.h"
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#include "flow/ThreadHelper.actor.h"
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#include "flow/actorcompiler.h" // This must be the last #include.
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ACTOR template <size_t Size>
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static Future<Void> increment(Future<Void> f, uint32_t* sum) {
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state std::array<uint8_t, Size> arr;
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wait(f);
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benchmark::DoNotOptimize(arr);
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++(*sum);
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return Void();
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}
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ACTOR template <size_t Size>
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static Future<Void> benchCallbackActor(benchmark::State* benchState) {
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state size_t actorCount = benchState->range(0);
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state uint32_t sum;
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while (benchState->KeepRunning()) {
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sum = 0;
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Promise<Void> trigger;
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std::vector<Future<Void>> futures;
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futures.reserve(actorCount);
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for (int i = 0; i < actorCount; ++i) {
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futures.push_back(increment<Size>(trigger.getFuture(), &sum));
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}
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trigger.send(Void());
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wait(waitForAll(futures));
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benchmark::DoNotOptimize(sum);
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}
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benchState->SetItemsProcessed(actorCount * static_cast<long>(benchState->iterations()));
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benchState->SetBytesProcessed(actorCount * Size * static_cast<long>(benchState->iterations()));
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return Void();
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}
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template <size_t Size>
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static void bench_callback(benchmark::State& benchState) {
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onMainThread([&benchState]() { return benchCallbackActor<Size>(&benchState); }).blockUntilReady();
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}
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BENCHMARK_TEMPLATE(bench_callback, 1)->Range(1, 1 << 8)->ReportAggregatesOnly(true);
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BENCHMARK_TEMPLATE(bench_callback, 32)->Range(1, 1 << 8)->ReportAggregatesOnly(true);
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BENCHMARK_TEMPLATE(bench_callback, 1024)->Range(1, 1 << 8)->ReportAggregatesOnly(true);
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