Files
src_old/examples/eurohack24/read_setnparticles_managed.cu
2024-10-12 19:34:22 +02:00

97 lines
2.5 KiB
Plaintext

/*
Copyright (c) 2006-2015, The Regents of the University of California,
through Lawrence Berkeley National Laboratory (subject to receipt of any
required approvals from the U.S. Dept. of Energy) and the Paul Scherrer
Institut (Switzerland). All rights reserved.
License: see file COPYING in top level of source distribution.
*/
#include "H5hut.h"
#include "examples.h"
#include <stdlib.h>
#include "cuda.h"
// name of input file
const char* fname = "example_setnparticles.h5";
// H5hut verbosity level
const h5_int64_t h5_verbosity = H5_VERBOSE_DEFAULT;
#define USE_CUDA_KERNEL 1
#ifdef USE_CUDA_KERNEL
__global__
#endif
void kernel(h5_int32_t *data, h5_size_t n)
{
for (h5_size_t i=0; i<n; i++) {
data[i] += 2;
}
}
int
main (
int argc, char* argv[]
){
// initialize MPI & H5hut
MPI_Init (&argc, &argv);
MPI_Comm comm = MPI_COMM_WORLD;
int comm_size = 1;
MPI_Comm_size (comm, &comm_size);
int comm_rank = 0;
MPI_Comm_rank (comm, &comm_rank);
H5AbortOnError ();
H5SetVerbosityLevel (h5_verbosity);
// open file and go to first step
h5_file_t file = H5OpenFile (fname, H5_O_RDONLY, H5_PROP_DEFAULT);
H5SetStep (file, 0);
// compute number of particles this process has to read
h5_ssize_t num_particles_total = H5PartGetNumParticles (file);
h5_ssize_t num_particles = num_particles_total / comm_size;
if (comm_rank+1 == comm_size)
num_particles += num_particles_total % comm_size;
printf ("[proc %d]: particles in view: %lld\n", comm_rank, (long long)num_particles);
printf ("[proc %d]: total number of particles: %lld\n",
comm_rank, (long long unsigned)num_particles_total);
// set number of particles
H5PartSetNumParticles (file, num_particles);
// read and print data
h5_int32_t *data;
#ifdef USE_CUDA_KERNEL
cudaMallocManaged((void **)&data, num_particles * sizeof(*data));
#else
data = (h5_int32_t*)calloc (num_particles, sizeof (*data));
#endif
H5PartReadDataInt32 (file, "data", data);
H5CloseFile (file);
#ifdef USE_CUDA_KERNEL
kernel<<<1, 1>>>(data, num_particles);
#else
kernel(data, num_particles);
#endif
int ec=cudaDeviceSynchronize();
printf("%d\n", ec);
for (int i = 0; i < num_particles; i++) {
printf ("[proc %d]: local index = %d, value = %d\n",
comm_rank, i, data[i]);
}
// cleanup
#ifdef USE_CUDA_KERNEL
cudaFree(data);
#else
free (data);
#endif
MPI_Finalize ();
return 0;
}