Files
lammps/lib/kokkos/benchmarks/gups/gups-kokkos.cc
2020-08-25 20:21:48 -06:00

202 lines
6.3 KiB
C++

/*
//@HEADER
// ************************************************************************
//
// Kokkos v. 3.0
// Copyright (2020) National Technology & Engineering
// Solutions of Sandia, LLC (NTESS).
//
// Under the terms of Contract DE-NA0003525 with NTESS,
// the U.S. Government retains certain rights in this software.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are
// met:
//
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
//
// 2. 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.
//
// 3. Neither the name of the Corporation nor the names of the
// contributors may be used to endorse or promote products derived from
// this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY NTESS "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 NTESS OR THE
// CONTRIBUTORS 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.
//
// ************************************************************************
//@HEADER
*/
#include "Kokkos_Core.hpp"
#include <cstdio>
#include <cstdlib>
#include <cmath>
#include <sys/time.h>
#define HLINE "-------------------------------------------------------------\n"
#if defined(KOKKOS_ENABLE_CUDA)
using GUPSHostArray = Kokkos::View<int64_t*, Kokkos::CudaSpace>::HostMirror;
using GUPSDeviceArray = Kokkos::View<int64_t*, Kokkos::CudaSpace>;
#else
using GUPSHostArray = Kokkos::View<int64_t*, Kokkos::HostSpace>::HostMirror;
using GUPSDeviceArray = Kokkos::View<int64_t*, Kokkos::HostSpace>;
#endif
using GUPSIndex = int;
double now() {
struct timeval now;
gettimeofday(&now, nullptr);
return (double)now.tv_sec + ((double)now.tv_usec * 1.0e-6);
}
void randomize_indices(GUPSHostArray& indices, GUPSDeviceArray& dev_indices,
const int64_t dataCount) {
for (GUPSIndex i = 0; i < indices.extent(0); ++i) {
indices[i] = lrand48() % dataCount;
}
Kokkos::deep_copy(dev_indices, indices);
}
void run_gups(GUPSDeviceArray& indices, GUPSDeviceArray& data,
const int64_t datum, const bool performAtomics) {
if (performAtomics) {
Kokkos::parallel_for(
"bench-gups-atomic", indices.extent(0),
KOKKOS_LAMBDA(const GUPSIndex i) {
Kokkos::atomic_fetch_xor(&data[indices[i]], datum);
});
} else {
Kokkos::parallel_for(
"bench-gups-non-atomic", indices.extent(0),
KOKKOS_LAMBDA(const GUPSIndex i) { data[indices[i]] ^= datum; });
}
Kokkos::fence();
}
int run_benchmark(const GUPSIndex indicesCount, const GUPSIndex dataCount,
const int repeats, const bool useAtomics) {
printf("Reports fastest timing per kernel\n");
printf("Creating Views...\n");
printf("Memory Sizes:\n");
printf("- Elements: %15" PRIu64 " (%12.4f MB)\n",
static_cast<uint64_t>(dataCount),
1.0e-6 * ((double)dataCount * (double)sizeof(int64_t)));
printf("- Indices: %15" PRIu64 " (%12.4f MB)\n",
static_cast<uint64_t>(indicesCount),
1.0e-6 * ((double)indicesCount * (double)sizeof(int64_t)));
printf(" - Atomics: %15s\n", (useAtomics ? "Yes" : "No"));
printf("Benchmark kernels will be performed for %d iterations.\n", repeats);
printf(HLINE);
GUPSDeviceArray dev_indices("indices", indicesCount);
GUPSDeviceArray dev_data("data", dataCount);
int64_t datum = -1;
GUPSHostArray indices = Kokkos::create_mirror_view(dev_indices);
GUPSHostArray data = Kokkos::create_mirror_view(dev_data);
double gupsTime = 0.0;
printf("Initializing Views...\n");
#if defined(KOKKOS_HAVE_OPENMP)
Kokkos::parallel_for(
"init-data", Kokkos::RangePolicy<Kokkos::OpenMP>(0, dataCount),
#else
Kokkos::parallel_for(
"init-data", Kokkos::RangePolicy<Kokkos::Serial>(0, dataCount),
#endif
KOKKOS_LAMBDA(const int i) { data[i] = 10101010101; });
#if defined(KOKKOS_HAVE_OPENMP)
Kokkos::parallel_for(
"init-indices", Kokkos::RangePolicy<Kokkos::OpenMP>(0, indicesCount),
#else
Kokkos::parallel_for(
"init-indices", Kokkos::RangePolicy<Kokkos::Serial>(0, indicesCount),
#endif
KOKKOS_LAMBDA(const int i) { indices[i] = 0; });
Kokkos::deep_copy(dev_data, data);
Kokkos::deep_copy(dev_indices, indices);
double start;
printf("Starting benchmarking...\n");
for (GUPSIndex k = 0; k < repeats; ++k) {
randomize_indices(indices, dev_indices, data.extent(0));
start = now();
run_gups(dev_indices, dev_data, datum, useAtomics);
gupsTime += now() - start;
}
Kokkos::deep_copy(indices, dev_indices);
Kokkos::deep_copy(data, dev_data);
printf(HLINE);
printf(
"GUP/s Random: %18.6f\n",
(1.0e-9 * ((double)repeats) * (double)dev_indices.extent(0)) / gupsTime);
printf(HLINE);
return 0;
}
int main(int argc, char* argv[]) {
printf(HLINE);
printf("Kokkos GUPS Benchmark\n");
printf(HLINE);
srand48(1010101);
Kokkos::initialize(argc, argv);
int64_t indices = 8192;
int64_t data = 33554432;
int64_t repeats = 10;
bool useAtomics = false;
for (int i = 1; i < argc; ++i) {
if (strcmp(argv[i], "--indices") == 0) {
indices = std::atoll(argv[i + 1]);
++i;
} else if (strcmp(argv[i], "--data") == 0) {
data = std::atoll(argv[i + 1]);
++i;
} else if (strcmp(argv[i], "--repeats") == 0) {
repeats = std::atoll(argv[i + 1]);
++i;
} else if (strcmp(argv[i], "--atomics") == 0) {
useAtomics = true;
}
}
const int rc = run_benchmark(indices, data, repeats, useAtomics);
Kokkos::finalize();
return rc;
}