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/******************************************************************************
* Copyright (c) 2011-2023, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/
#include <thrust/device_vector.h>
#include <thrust/execution_policy.h>
#include <thrust/random.h>
#include <thrust/shuffle.h>
#include "nvbench_helper.cuh"
template <typename T>
static void basic(nvbench::state& state, nvbench::type_list<T>)
{
const auto elements = static_cast<std::size_t>(state.get_int64("Elements"));
thrust::device_vector<T> data(elements);
state.add_element_count(elements);
state.add_global_memory_reads<T>(elements);
state.add_global_memory_writes<T>(elements);
auto do_engine = [&](auto&& engine_constructor) {
caching_allocator_t alloc;
thrust::shuffle(policy(alloc), data.begin(), data.end(), engine_constructor());
state.exec(nvbench::exec_tag::no_batch | nvbench::exec_tag::sync, [&](nvbench::launch& launch) {
thrust::shuffle(policy(alloc, launch), data.begin(), data.end(), engine_constructor());
});
};
const auto rng_engine = state.get_string("Engine");
if (rng_engine == "minstd")
{
do_engine([] {
return thrust::random::minstd_rand{};
});
}
else if (rng_engine == "ranlux24")
{
do_engine([] {
return thrust::random::ranlux24{};
});
}
else if (rng_engine == "ranlux48")
{
do_engine([] {
return thrust::random::ranlux48{};
});
}
else if (rng_engine == "taus88")
{
do_engine([] {
return thrust::random::taus88{};
});
}
}
using types =
nvbench::type_list<int8_t,
int16_t,
int32_t,
int64_t
#if NVBENCH_HELPER_HAS_I128
,
int128_t
#endif
>;
NVBENCH_BENCH_TYPES(basic, NVBENCH_TYPE_AXES(types))
.set_name("base")
.set_type_axes_names({"T{ct}"})
.add_int64_power_of_two_axis("Elements", nvbench::range(16, 28, 4))
.add_string_axis("Engine", {"minstd", "ranlux24", "ranlux48", "taus88"});
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