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Improve BM_SetInsert example (#465)
* Fix BM_SetInsert example Move declaration of `std::set<int> data` outside the timing loop, so that the destructor is not timed. * Speed up BM_SetInsert test Since the time taken to ConstructRandomSet() is so large compared to the time to insert one element, but only the latter is used to determine number of iterations, this benchmark now takes an extremely long time to run in benchmark_test. Speed it up two ways: - Increase the Ranges() parameters - Cache ConstructRandomSet() result (it's not random anyway), and do only O(N) copy every iteration * Fix same issue in BM_MapLookup test * Make BM_SetInsert test consistent with README - Use the same Ranges everywhere, but increase the 2nd range - Change order of Args() calls in README to more closely match the result of Ranges - Don't cache ConstructRandomSet, since it doesn't make sense in README - Get a smaller optimization inside it, by givint a hint to insert()
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README.md
17
README.md
@ -84,22 +84,23 @@ insertion.
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```c++
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static void BM_SetInsert(benchmark::State& state) {
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std::set<int> data;
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for (auto _ : state) {
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state.PauseTiming();
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std::set<int> data = ConstructRandomSet(state.range(0));
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data = ConstructRandomSet(state.range(0));
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state.ResumeTiming();
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for (int j = 0; j < state.range(1); ++j)
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data.insert(RandomNumber());
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}
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}
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BENCHMARK(BM_SetInsert)
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->Args({1<<10, 1})
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->Args({1<<10, 8})
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->Args({1<<10, 64})
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->Args({1<<10, 128})
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->Args({2<<10, 128})
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->Args({4<<10, 128})
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->Args({8<<10, 128})
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->Args({1<<10, 512})
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->Args({8<<10, 1})
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->Args({8<<10, 8})
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->Args({8<<10, 64})
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->Args({2<<10, 512})
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->Args({4<<10, 512})
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->Args({8<<10, 512});
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```
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@ -109,7 +110,7 @@ product of the two specified ranges and will generate a benchmark for each such
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pair.
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```c++
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BENCHMARK(BM_SetInsert)->Ranges({{1<<10, 8<<10}, {1, 512}});
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BENCHMARK(BM_SetInsert)->Ranges({{1<<10, 8<<10}, {128, 512}});
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```
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For more complex patterns of inputs, passing a custom function to `Apply` allows
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@ -72,29 +72,30 @@ BENCHMARK(BM_memcpy)->Range(8, 8<<10);
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// example, the following code defines a family of microbenchmarks for
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// measuring the speed of set insertion.
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static void BM_SetInsert(benchmark::State& state) {
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set<int> data;
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for (auto _ : state) {
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state.PauseTiming();
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set<int> data = ConstructRandomSet(state.range(0));
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data = ConstructRandomSet(state.range(0));
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state.ResumeTiming();
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for (int j = 0; j < state.range(1); ++j)
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data.insert(RandomNumber());
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}
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}
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BENCHMARK(BM_SetInsert)
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->Args({1<<10, 1})
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->Args({1<<10, 8})
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->Args({1<<10, 64})
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->Args({1<<10, 128})
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->Args({2<<10, 128})
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->Args({4<<10, 128})
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->Args({8<<10, 128})
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->Args({1<<10, 512})
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->Args({8<<10, 1})
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->Args({8<<10, 8})
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->Args({8<<10, 64})
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->Args({2<<10, 512})
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->Args({4<<10, 512})
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->Args({8<<10, 512});
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// The preceding code is quite repetitive, and can be replaced with
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// the following short-hand. The following macro will pick a few
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// appropriate arguments in the product of the two specified ranges
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// and will generate a microbenchmark for each such pair.
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BENCHMARK(BM_SetInsert)->Ranges({{1<<10, 8<<10}, {1, 512}});
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BENCHMARK(BM_SetInsert)->Ranges({{1<<10, 8<<10}, {128, 512}});
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// For more complex patterns of inputs, passing a custom function
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// to Apply allows programmatic specification of an
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@ -42,7 +42,7 @@ double CalculatePi(int depth) {
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std::set<int> ConstructRandomSet(int size) {
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std::set<int> s;
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for (int i = 0; i < size; ++i) s.insert(i);
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for (int i = 0; i < size; ++i) s.insert(s.end(), i);
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return s;
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}
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@ -82,16 +82,20 @@ BENCHMARK(BM_CalculatePi)->ThreadRange(1, 32);
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BENCHMARK(BM_CalculatePi)->ThreadPerCpu();
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static void BM_SetInsert(benchmark::State& state) {
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std::set<int> data;
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for (auto _ : state) {
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state.PauseTiming();
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std::set<int> data = ConstructRandomSet(state.range(0));
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data = ConstructRandomSet(state.range(0));
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state.ResumeTiming();
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for (int j = 0; j < state.range(1); ++j) data.insert(rand());
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}
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state.SetItemsProcessed(state.iterations() * state.range(1));
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state.SetBytesProcessed(state.iterations() * state.range(1) * sizeof(int));
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}
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BENCHMARK(BM_SetInsert)->Ranges({{1 << 10, 8 << 10}, {1, 10}});
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// Test many inserts at once to reduce the total iterations needed. Otherwise, the slower,
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// non-timed part of each iteration will make the benchmark take forever.
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BENCHMARK(BM_SetInsert)->Ranges({{1 << 10, 8 << 10}, {128, 512}});
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template <typename Container,
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typename ValueType = typename Container::value_type>
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@ -18,9 +18,10 @@ std::map<int, int> ConstructRandomMap(int size) {
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// Basic version.
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static void BM_MapLookup(benchmark::State& state) {
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const int size = state.range(0);
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std::map<int, int> m;
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for (auto _ : state) {
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state.PauseTiming();
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std::map<int, int> m = ConstructRandomMap(size);
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m = ConstructRandomMap(size);
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state.ResumeTiming();
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for (int i = 0; i < size; ++i) {
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benchmark::DoNotOptimize(m.find(rand() % size));
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