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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

218 lines
11 KiB
C++

// Copyright (c) 2022-2026 Advanced Micro Devices, Inc. All rights reserved.
//
// Permission is hereby granted, free of charge, to any person obtaining a copy
// of this software and associated documentation files (the "Software"), to deal
// in the Software without restriction, including without limitation the rights
// to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the Software is
// furnished to do so, subject to the following conditions:
//
// The above copyright notice and this permission notice shall be included in
// all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
// OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
// THE SOFTWARE.
#include "benchmark_device_api.hpp"
#include <vector>
template<template<typename> class Gen,
typename T,
typename State,
auto Dist,
typename EngineType,
typename... Args>
void queue_device_bench(primbench::executor& executor,
EngineType engine,
size_t blocks,
size_t threads,
size_t dimensions,
size_t offset,
Args... args)
{
executor.queue<device_api_benchmark<Gen<State>, State, T, Dist>>(Gen<State>(args...),
engine,
blocks,
threads,
dimensions,
offset,
args...);
}
template<typename State>
inline constexpr bool uses_64bit_int_v = std::is_same_v<State, rand_state_sobol64_t>
|| std::is_same_v<State, rand_state_scrambled_sobol64_t>
#ifdef __HIP__
|| std::is_same_v<State, rocrand_state_threefry2x64_20>
|| std::is_same_v<State, rocrand_state_threefry4x64_20>
#endif
;
template<typename StateType, auto EngineVal>
struct engine_state
{
using State = StateType;
static constexpr auto Engine = EngineVal;
};
template<typename State, auto Engine>
void queue_device_permutations(primbench::executor& executor,
size_t blocks,
size_t threads,
size_t dimensions,
size_t offset,
const std::vector<double>& poisson_lambdas)
{
if constexpr(uses_64bit_int_v<State>)
{
queue_device_bench<generator_ullong, unsigned long long, State, DISTRIBUTION_UNIFORM>(
executor,
Engine,
blocks,
threads,
dimensions,
offset);
}
else
{
queue_device_bench<generator_uint, uint32_t, State, DISTRIBUTION_UNIFORM>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
}
queue_device_bench<generator_uniform, float, State, DISTRIBUTION_UNIFORM>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
queue_device_bench<generator_uniform_double, double, State, DISTRIBUTION_UNIFORM>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
queue_device_bench<generator_normal, float, State, DISTRIBUTION_NORMAL>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
queue_device_bench<generator_normal_double, double, State, DISTRIBUTION_NORMAL>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
queue_device_bench<generator_log_normal, float, State, DISTRIBUTION_LOG_NORMAL>(executor,
Engine,
blocks,
threads,
dimensions,
offset);
queue_device_bench<generator_log_normal_double, double, State, DISTRIBUTION_LOG_NORMAL>(
executor,
Engine,
blocks,
threads,
dimensions,
offset);
for(double lambda : poisson_lambdas)
{
queue_device_bench<generator_poisson, uint32_t, State, DISTRIBUTION_POISSON>(executor,
Engine,
blocks,
threads,
dimensions,
offset,
lambda);
queue_device_bench<generator_discrete_poisson,
uint32_t,
State,
DISTRIBUTION_DISCRETE_POISSON>(executor,
Engine,
blocks,
threads,
dimensions,
offset,
lambda);
}
#ifdef __HIP__
queue_device_bench<generator_discrete_custom, uint32_t, State, DISTRIBUTION_DISCRETE_CUSTOM>(
executor,
Engine,
blocks,
threads,
dimensions,
offset);
#endif
}
template<typename... Configs>
void queue_all_permutations(primbench::executor& executor,
size_t blocks,
size_t threads,
size_t dimensions,
size_t offset,
const std::vector<double>& poisson_lambdas)
{
(queue_device_permutations<typename Configs::State, Configs::Engine>(executor,
blocks,
threads,
dimensions,
offset,
poisson_lambdas),
...);
}
int main(int argc, char* argv[])
{
primbench::settings settings;
settings.size = 128 * primbench::MiB; // In items
settings.min_gpu_ms_per_batch = 100;
settings.hot = true;
primbench::executor executor(argc, argv, settings);
auto blocks = executor.get<size_t>("blocks", 256, "Number of blocks");
auto threads = executor.get<size_t>("threads", 256, "Threads per block");
auto dimensions = executor.get<size_t>("dimensions", 1, "Number of quasi-random dimensions");
auto offset = executor.get<size_t>("offset", 0, "Offset of generated pseudo-random values");
auto poisson_lambdas
= executor.get<std::vector<double>>("lambda",
{10.0},
"Space-separated list of Poisson lambdas");
queue_all_permutations<
engine_state<rand_state_mrg32k3a_t, RAND_RNG_PSEUDO_MRG32K3A>,
engine_state<rand_state_philox4x32_10_t, RAND_RNG_PSEUDO_PHILOX4_32_10>,
engine_state<rand_state_xorwow_t, RAND_RNG_PSEUDO_XORWOW>,
engine_state<rand_state_mtgp32_t, RAND_RNG_PSEUDO_MTGP32>,
engine_state<rand_state_sobol32_t, RAND_RNG_QUASI_SOBOL32>,
engine_state<rand_state_scrambled_sobol32_t, RAND_RNG_QUASI_SCRAMBLED_SOBOL32>,
engine_state<rand_state_sobol64_t, RAND_RNG_QUASI_SOBOL64>,
engine_state<rand_state_scrambled_sobol64_t, RAND_RNG_QUASI_SCRAMBLED_SOBOL64>
#ifdef __HIP__
,
engine_state<rocrand_state_lfsr113, ROCRAND_RNG_PSEUDO_LFSR113>,
engine_state<rocrand_state_mrg31k3p, ROCRAND_RNG_PSEUDO_MRG31K3P>,
engine_state<rocrand_state_threefry2x32_20, ROCRAND_RNG_PSEUDO_THREEFRY2_32_20>,
engine_state<rocrand_state_threefry4x32_20, ROCRAND_RNG_PSEUDO_THREEFRY4_32_20>,
engine_state<rocrand_state_threefry2x64_20, ROCRAND_RNG_PSEUDO_THREEFRY2_64_20>,
engine_state<rocrand_state_threefry4x64_20, ROCRAND_RNG_PSEUDO_THREEFRY4_64_20>
#endif
>(executor, blocks, threads, dimensions, offset, poisson_lambdas);
executor.run();
}