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/*
* Copyright 2022 Patrick Stotko
* 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
*
* http://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.
*/
#ifndef STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS
#error "Class name for benchmark not specified!"
#endif
#ifndef STDGPU_UNORDERED_DATASTRUCTURE_TYPE
#error "Data structure type not specified!"
#endif
#ifndef STDGPU_UNORDERED_DATASTRUCTURE_KEY2VALUE
#error "Key to Value conversion not specified!"
#endif
#ifndef STDGPU_UNORDERED_DATASTRUCTURE_VALUE2KEY
#error "Value to Key conversion not specified!"
#endif
#include <benchmark/benchmark.h>
#include <algorithm>
#include <limits>
#include <random>
#include <benchmark_utils.h>
#include <stdgpu/algorithm.h>
#include <stdgpu/impl/preprocessor.h>
#include <stdgpu/memory.h>
#include <stdgpu/platform.h>
// convenience wrapper to improve readability
using benchmark_unordered_datastructure = STDGPU_UNORDERED_DATASTRUCTURE_TYPE;
namespace
{
class Key2ValueFunctor
{
public:
Key2ValueFunctor(benchmark_unordered_datastructure::key_type* keys,
benchmark_unordered_datastructure::value_type* values)
: _keys(keys)
, _values(values)
{
}
STDGPU_HOST_DEVICE void
operator()(const stdgpu::index_t i)
{
stdgpu::construct_at(&(_values[i]), STDGPU_UNORDERED_DATASTRUCTURE_KEY2VALUE(_keys[i]));
}
private:
benchmark_unordered_datastructure::key_type* _keys;
benchmark_unordered_datastructure::value_type* _values;
};
benchmark_unordered_datastructure::value_type*
create_values(const stdgpu::index_t N)
{
// Generate true random numbers
size_t seed = benchmark_utils::random_seed();
std::default_random_engine rng(static_cast<std::default_random_engine::result_type>(seed));
std::uniform_int_distribution<std::int16_t> dist(std::numeric_limits<std::int16_t>::lowest(),
std::numeric_limits<std::int16_t>::max());
benchmark_unordered_datastructure::key_type* host_keys =
createHostArray<benchmark_unordered_datastructure::key_type>(N);
std::generate(host_keys, host_keys + N, [&dist, &rng]() {
return benchmark_unordered_datastructure::key_type(dist(rng), dist(rng), dist(rng));
});
benchmark_unordered_datastructure::key_type* keys =
copyCreateHost2DeviceArray<benchmark_unordered_datastructure::key_type>(host_keys, N);
destroyHostArray<benchmark_unordered_datastructure::key_type>(host_keys);
benchmark_unordered_datastructure::value_type* values =
createDeviceArray<benchmark_unordered_datastructure::value_type>(N);
stdgpu::for_each_index(stdgpu::execution::device, N, Key2ValueFunctor(keys, values));
destroyDeviceArray<benchmark_unordered_datastructure::key_type>(keys);
return values;
}
class Value2KeyFunctor
{
public:
Value2KeyFunctor(benchmark_unordered_datastructure::key_type* keys,
benchmark_unordered_datastructure::value_type* values)
: _keys(keys)
, _values(values)
{
}
STDGPU_HOST_DEVICE void
operator()(const stdgpu::index_t i) const
{
_keys[i] = STDGPU_UNORDERED_DATASTRUCTURE_VALUE2KEY(_values[i]);
}
private:
benchmark_unordered_datastructure::key_type* _keys;
benchmark_unordered_datastructure::value_type* _values;
};
benchmark_unordered_datastructure::key_type*
extract_keys(benchmark_unordered_datastructure::value_type* values, const stdgpu::index_t N)
{
benchmark_unordered_datastructure::key_type* keys =
createDeviceArray<benchmark_unordered_datastructure::key_type>(N);
stdgpu::for_each_index(stdgpu::execution::device, N, Value2KeyFunctor(keys, values));
return keys;
}
} // namespace
void STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _insert)(benchmark::State& state,
const stdgpu::index_t unordered_size)
{
// Use larger container to avoid unlikely but possible overflow of excess list
benchmark_unordered_datastructure u = benchmark_unordered_datastructure::createDeviceObject(2 * unordered_size);
benchmark_unordered_datastructure::value_type* values = create_values(unordered_size);
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
u.clear();
for (auto _ : state)
{
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
state.PauseTiming();
u.clear();
state.ResumeTiming();
}
benchmark_unordered_datastructure::destroyDeviceObject(u);
destroyDeviceArray<benchmark_unordered_datastructure::value_type>(values);
}
void STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _erase)(benchmark::State& state,
const stdgpu::index_t unordered_size)
{
// Use larger container to avoid unlikely but possible overflow of excess list
benchmark_unordered_datastructure u = benchmark_unordered_datastructure::createDeviceObject(2 * unordered_size);
benchmark_unordered_datastructure::value_type* values = create_values(unordered_size);
benchmark_unordered_datastructure::key_type* keys = extract_keys(values, unordered_size);
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
for (auto _ : state)
{
u.erase(stdgpu::device_begin(keys), stdgpu::device_end(keys));
state.PauseTiming();
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
state.ResumeTiming();
}
benchmark_unordered_datastructure::destroyDeviceObject(u);
destroyDeviceArray<benchmark_unordered_datastructure::value_type>(values);
destroyDeviceArray<benchmark_unordered_datastructure::key_type>(keys);
}
void STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _clear)(benchmark::State& state,
const stdgpu::index_t unordered_size)
{
// Use larger container to avoid unlikely but possible overflow of excess list
benchmark_unordered_datastructure u = benchmark_unordered_datastructure::createDeviceObject(2 * unordered_size);
benchmark_unordered_datastructure::value_type* values = create_values(unordered_size);
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
for (auto _ : state)
{
u.clear();
state.PauseTiming();
u.insert(stdgpu::device_begin(values), stdgpu::device_end(values));
state.ResumeTiming();
}
benchmark_unordered_datastructure::destroyDeviceObject(u);
destroyDeviceArray<benchmark_unordered_datastructure::value_type>(values);
}
void STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _valid)(benchmark::State& state,
const stdgpu::index_t vector_size)
{
benchmark_unordered_datastructure u = benchmark_unordered_datastructure::createDeviceObject(vector_size);
benchmark::DoNotOptimize(u.valid());
for (auto _ : state)
{
benchmark::DoNotOptimize(u.valid());
}
benchmark_unordered_datastructure::destroyDeviceObject(u);
}
#define STDGPU_REGISTER_BENCHMARK(function) \
BENCHMARK_CAPTURE(function, 1000, 1000)->Unit(benchmark::kMillisecond); \
BENCHMARK_CAPTURE(function, 100000, 100000)->Unit(benchmark::kMillisecond); \
BENCHMARK_CAPTURE(function, 10000000, 10000000)->Unit(benchmark::kMillisecond);
STDGPU_REGISTER_BENCHMARK(STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _insert))
STDGPU_REGISTER_BENCHMARK(STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _erase))
// clear is significantly faster than non-measured insert
#if STDGPU_BACKEND != STDGPU_BACKEND_OPENMP
STDGPU_REGISTER_BENCHMARK(STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _clear))
#endif
STDGPU_REGISTER_BENCHMARK(STDGPU_DETAIL_CAT2(STDGPU_UNORDERED_DATASTRUCTURE_BENCHMARK_CLASS, _valid))
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