sled/3party/marl/src/marl_bench.h
tqcq 1782dba5ba
All checks were successful
linux-x64-gcc / linux-gcc (Release) (push) Successful in 51s
linux-x64-gcc / linux-gcc (Debug) (push) Successful in 1m1s
feat add marl for fiber
2024-03-08 18:05:40 +08:00

96 lines
3.4 KiB
C++

// Copyright 2020 The Marl 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 "marl/scheduler.h"
#include "marl/thread.h"
#include "benchmark/benchmark.h"
// Define MARL_FULL_BENCHMARK to 1 if you want to run benchmarks for every
// available logical CPU core.
#ifndef MARL_FULL_BENCHMARK
#define MARL_FULL_BENCHMARK 0
#endif
class Schedule : public benchmark::Fixture {
public:
void SetUp(const ::benchmark::State&) {}
void TearDown(const ::benchmark::State&) {}
// run() creates a scheduler using the config cfg, sets the number of worker
// threads from the benchmark arguments, calls f, then unbinds and destructs
// the scheduler.
// F must be a function of the signature: void(int numTasks)
template <typename F>
void run(const ::benchmark::State& state,
marl::Scheduler::Config cfg,
F&& f) {
cfg.setWorkerThreadCount(numThreads(state));
marl::Scheduler scheduler(cfg);
scheduler.bind();
f(numTasks(state));
scheduler.unbind();
}
// run() creates a scheduler, sets the number of worker threads from the
// benchmark arguments, calls f, then unbinds and destructs the scheduler.
// F must be a function of the signature: void(int numTasks)
template <typename F>
void run(const ::benchmark::State& state, F&& f) {
run(state, marl::Scheduler::Config{}, f);
}
// args() sets up the benchmark to run a number of tasks over a number of
// threads.
// If MARL_FULL_BENCHMARK is enabled, then NumTasks tasks will be run
// across from 0 to numLogicalCPUs worker threads.
// If MARL_FULL_BENCHMARK is not enabled, then NumTasks tasks will be run
// across [0 .. numLogicalCPUs] worker threads in 2^n steps.
template <int NumTasks = 0x40000>
static void args(benchmark::internal::Benchmark* b) {
b->ArgNames({"tasks", "threads"});
b->Args({NumTasks, 0});
auto numLogicalCPUs = marl::Thread::numLogicalCPUs();
#if MARL_FULL_BENCHMARK
for (unsigned int threads = 1U; threads <= numLogicalCPUs; threads++) {
b->Args({NumTasks, threads});
}
#else
for (unsigned int threads = 1U; threads <= numLogicalCPUs; threads *= 2) {
b->Args({NumTasks, threads});
}
if ((numLogicalCPUs & (numLogicalCPUs - 1)) != 0) {
// numLogicalCPUs is not a power-of-two. Also test with numLogicalCPUs.
b->Args({NumTasks, numLogicalCPUs});
}
#endif
}
// numThreads() return the number of threads in the benchmark run from the
// state.
static int numThreads(const ::benchmark::State& state) {
return static_cast<int>(state.range(1));
}
// numTasks() return the number of tasks in the benchmark run from the state.
static int numTasks(const ::benchmark::State& state) {
return static_cast<int>(state.range(0));
}
// doSomeWork() performs some made up bit-shitfy algorithm that's difficult
// for a compiler to optimize and produces consistent results.
static uint32_t doSomeWork(uint32_t x);
};