llvm-project/libcxx/benchmarks/ordered_set.bench.cpp

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
#include <algorithm>
#include <cstdint>
#include <memory>
#include <random>
#include <set>
#include <string>
#include <vector>
#include "CartesianBenchmarks.hpp"
#include "benchmark/benchmark.h"
#include "test_macros.h"
namespace {
enum class HitType { Hit, Miss };
struct AllHitTypes : EnumValuesAsTuple<AllHitTypes, HitType, 2> {
static constexpr const char* Names[] = {"Hit", "Miss"};
};
enum class AccessPattern { Ordered, Random };
struct AllAccessPattern
: EnumValuesAsTuple<AllAccessPattern, AccessPattern, 2> {
static constexpr const char* Names[] = {"Ordered", "Random"};
};
void sortKeysBy(std::vector<uint64_t>& Keys, AccessPattern AP) {
if (AP == AccessPattern::Random) {
std::random_device R;
std::mt19937 M(R());
std::shuffle(std::begin(Keys), std::end(Keys), M);
}
}
struct TestSets {
std::vector<std::set<uint64_t> > Sets;
std::vector<uint64_t> Keys;
};
TestSets makeTestingSets(size_t TableSize, size_t NumTables, HitType Hit,
AccessPattern Access) {
TestSets R;
R.Sets.resize(1);
for (uint64_t I = 0; I < TableSize; ++I) {
R.Sets[0].insert(2 * I);
R.Keys.push_back(Hit == HitType::Hit ? 2 * I : 2 * I + 1);
}
R.Sets.resize(NumTables, R.Sets[0]);
sortKeysBy(R.Keys, Access);
return R;
}
struct Base {
size_t TableSize;
size_t NumTables;
Base(size_t T, size_t N) : TableSize(T), NumTables(N) {}
bool skip() const {
size_t Total = TableSize * NumTables;
return Total < 100 || Total > 1000000;
}
std::string baseName() const {
return "_TableSize" + std::to_string(TableSize) + "_NumTables" +
std::to_string(NumTables);
}
};
template <class Access>
struct Create : Base {
using Base::Base;
void run(benchmark::State& State) const {
std::vector<size_t> Keys(TableSize);
std::iota(Keys.begin(), Keys.end(), size_t{0});
sortKeysBy(Keys, Access());
while (State.KeepRunningBatch(TableSize * NumTables)) {
std::vector<std::set<size_t>> Sets(NumTables);
for (auto K : Keys) {
for (auto& Set : Sets) {
benchmark::DoNotOptimize(Set.insert(K));
}
}
}
}
std::string name() const {
return "BM_Create" + Access::name() + baseName();
}
};
template <class Hit, class Access>
struct Find : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, Hit(), Access());
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto K : Data.Keys) {
for (auto& Set : Data.Sets) {
benchmark::DoNotOptimize(Set.find(K));
}
}
}
}
std::string name() const {
return "BM_Find" + Hit::name() + Access::name() + baseName();
}
};
template <class Hit, class Access>
struct FindNeEnd : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, Hit(), Access());
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto K : Data.Keys) {
for (auto& Set : Data.Sets) {
benchmark::DoNotOptimize(Set.find(K) != Set.end());
}
}
}
}
std::string name() const {
return "BM_FindNeEnd" + Hit::name() + Access::name() + baseName();
}
};
template <class Access>
struct InsertHit : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, HitType::Hit, Access());
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto K : Data.Keys) {
for (auto& Set : Data.Sets) {
benchmark::DoNotOptimize(Set.insert(K));
}
}
}
}
std::string name() const {
return "BM_InsertHit" + Access::name() + baseName();
}
};
template <class Access>
struct InsertMissAndErase : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, HitType::Miss, Access());
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto K : Data.Keys) {
for (auto& Set : Data.Sets) {
benchmark::DoNotOptimize(Set.erase(Set.insert(K).first));
}
}
}
}
std::string name() const {
return "BM_InsertMissAndErase" + Access::name() + baseName();
}
};
struct IterateRangeFor : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, HitType::Miss,
AccessPattern::Ordered);
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto& Set : Data.Sets) {
for (auto& V : Set) {
benchmark::DoNotOptimize(V);
}
}
}
}
std::string name() const { return "BM_IterateRangeFor" + baseName(); }
};
struct IterateBeginEnd : Base {
using Base::Base;
void run(benchmark::State& State) const {
auto Data = makeTestingSets(TableSize, NumTables, HitType::Miss,
AccessPattern::Ordered);
while (State.KeepRunningBatch(TableSize * NumTables)) {
for (auto& Set : Data.Sets) {
for (auto it = Set.begin(); it != Set.end(); ++it) {
benchmark::DoNotOptimize(*it);
}
}
}
}
std::string name() const { return "BM_IterateBeginEnd" + baseName(); }
};
} // namespace
int main(int argc, char** argv) {
benchmark::Initialize(&argc, argv);
if (benchmark::ReportUnrecognizedArguments(argc, argv))
return 1;
const std::vector<size_t> TableSize{1, 10, 100, 1000, 10000, 100000, 1000000};
const std::vector<size_t> NumTables{1, 10, 100, 1000, 10000, 100000, 1000000};
makeCartesianProductBenchmark<Create, AllAccessPattern>(TableSize, NumTables);
makeCartesianProductBenchmark<Find, AllHitTypes, AllAccessPattern>(
TableSize, NumTables);
makeCartesianProductBenchmark<FindNeEnd, AllHitTypes, AllAccessPattern>(
TableSize, NumTables);
makeCartesianProductBenchmark<InsertHit, AllAccessPattern>(
TableSize, NumTables);
makeCartesianProductBenchmark<InsertMissAndErase, AllAccessPattern>(
TableSize, NumTables);
makeCartesianProductBenchmark<IterateRangeFor>(TableSize, NumTables);
makeCartesianProductBenchmark<IterateBeginEnd>(TableSize, NumTables);
benchmark::RunSpecifiedBenchmarks();
}