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/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2012-2013 Inria
* Copyright (C) 2009-2015,2017 Université de Bordeaux
* Copyright (C) 2010 Mehdi Juhoor
* Copyright (C) 2010-2013,2015,2017 CNRS
*
* StarPU is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation; either version 2.1 of the License, or (at
* your option) any later version.
*
* StarPU is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
*
* See the GNU Lesser General Public License in COPYING.LGPL for more details.
*/
/*
* This creates two dumb vectors, splits them into chunks, and for each pair of
* chunk, run axpy on them.
*/
#include <starpu.h>
#include <stdlib.h>
#include <stdio.h>
#include <assert.h>
#include <math.h>
#include <common/blas.h>
#ifdef STARPU_USE_CUDA
#include <starpu_cublas_v2.h>
#endif
#include "axpy.h"
#define AXPY STARPU_SAXPY
#define CUBLASAXPY cublasSaxpy
#define N (16*1024*1024)
#define NBLOCKS 8
#define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
#define EPSILON 1e-6
TYPE *_vec_x, *_vec_y;
TYPE _alpha = 3.41;
/* descriptors for StarPU */
starpu_data_handle_t _handle_y, _handle_x;
void axpy_cpu(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
{
TYPE alpha = *((TYPE *)arg);
unsigned n = STARPU_VECTOR_GET_NX(descr[0]);
TYPE *block_x = (TYPE *)STARPU_VECTOR_GET_PTR(descr[0]);
TYPE *block_y = (TYPE *)STARPU_VECTOR_GET_PTR(descr[1]);
AXPY((int)n, alpha, block_x, 1, block_y, 1);
}
#ifdef STARPU_USE_CUDA
void axpy_gpu(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
{
TYPE alpha = *((TYPE *)arg);
unsigned n = STARPU_VECTOR_GET_NX(descr[0]);
TYPE *block_x = (TYPE *)STARPU_VECTOR_GET_PTR(descr[0]);
TYPE *block_y = (TYPE *)STARPU_VECTOR_GET_PTR(descr[1]);
cublasStatus_t status = CUBLASAXPY(starpu_cublas_get_local_handle(), (int)n, &alpha, block_x, 1, block_y, 1);
if (status != CUBLAS_STATUS_SUCCESS)
STARPU_CUBLAS_REPORT_ERROR(status);
}
#endif
#ifdef STARPU_USE_OPENCL
extern void axpy_opencl(void *buffers[], void *args);
#endif
static struct starpu_perfmodel axpy_model =
{
.type = STARPU_HISTORY_BASED,
.symbol = "axpy"
};
static struct starpu_codelet axpy_cl =
{
.cpu_funcs = {axpy_cpu},
.cpu_funcs_name = {"axpy_cpu"},
#ifdef STARPU_USE_CUDA
.cuda_funcs = {axpy_gpu},
#elif defined(STARPU_SIMGRID)
.cuda_funcs = {(void*)1},
#endif
.cuda_flags = {STARPU_CUDA_ASYNC},
#ifdef STARPU_USE_OPENCL
.opencl_funcs = {axpy_opencl},
#elif defined(STARPU_SIMGRID)
.opencl_funcs = {(void*)1},
#endif
.opencl_flags = {STARPU_OPENCL_ASYNC},
.nbuffers = 2,
.modes = {STARPU_R, STARPU_RW},
.name = "axpy",
.model = &axpy_model
};
static int
check(void)
{
int i;
for (i = 0; i < N; i++)
{
TYPE expected_value = _alpha * _vec_x[i] + 4.0;
if (fabs(_vec_y[i] - expected_value) > expected_value * EPSILON)
{
FPRINTF(stderr,"at %d, %f*%f+%f=%f, expected %f\n", i, _alpha, _vec_x[i], 4.0, _vec_y[i], expected_value);
return EXIT_FAILURE;
}
}
return EXIT_SUCCESS;
}
#ifdef STARPU_USE_OPENCL
struct starpu_opencl_program opencl_program;
#endif
int main(int argc, char **argv)
{
int ret, exit_value = 0;
/* Initialize StarPU */
ret = starpu_init(NULL);
if (ret == -ENODEV)
return 77;
STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
#ifdef STARPU_USE_OPENCL
ret = starpu_opencl_load_opencl_from_file("examples/axpy/axpy_opencl_kernel.cl",
&opencl_program, NULL);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_load_opencl_from_file");
#endif
starpu_cublas_init();
/* This is equivalent to
vec_a = malloc(N*sizeof(TYPE));
vec_b = malloc(N*sizeof(TYPE));
*/
starpu_malloc((void **)&_vec_x, N*sizeof(TYPE));
assert(_vec_x);
starpu_malloc((void **)&_vec_y, N*sizeof(TYPE));
assert(_vec_y);
unsigned i;
for (i = 0; i < N; i++)
{
_vec_x[i] = 1.0f; /*(TYPE)starpu_drand48(); */
_vec_y[i] = 4.0f; /*(TYPE)starpu_drand48(); */
}
FPRINTF(stderr, "BEFORE x[0] = %2.2f\n", _vec_x[0]);
FPRINTF(stderr, "BEFORE y[0] = %2.2f\n", _vec_y[0]);
/* Declare the data to StarPU */
starpu_vector_data_register(&_handle_x, STARPU_MAIN_RAM, (uintptr_t)_vec_x, N, sizeof(TYPE));
starpu_vector_data_register(&_handle_y, STARPU_MAIN_RAM, (uintptr_t)_vec_y, N, sizeof(TYPE));
/* Divide the vector into blocks */
struct starpu_data_filter block_filter =
{
.filter_func = starpu_vector_filter_block,
.nchildren = NBLOCKS
};
starpu_data_partition(_handle_x, &block_filter);
starpu_data_partition(_handle_y, &block_filter);
double start;
double end;
start = starpu_timing_now();
unsigned b;
for (b = 0; b < NBLOCKS; b++)
{
struct starpu_task *task = starpu_task_create();
task->cl = &axpy_cl;
task->cl_arg = &_alpha;
task->cl_arg_size = sizeof(_alpha);
task->handles[0] = starpu_data_get_sub_data(_handle_x, 1, b);
task->handles[1] = starpu_data_get_sub_data(_handle_y, 1, b);
task->tag_id = b;
ret = starpu_task_submit(task);
if (ret == -ENODEV)
{
exit_value = 77;
goto enodev;
}
STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
}
starpu_task_wait_for_all();
enodev:
starpu_data_unpartition(_handle_x, STARPU_MAIN_RAM);
starpu_data_unpartition(_handle_y, STARPU_MAIN_RAM);
starpu_data_unregister(_handle_x);
starpu_data_unregister(_handle_y);
end = starpu_timing_now();
double timing = end - start;
FPRINTF(stderr, "timing -> %2.2f us %2.2f MB/s\n", timing, 3*N*sizeof(TYPE)/timing);
FPRINTF(stderr, "AFTER y[0] = %2.2f (ALPHA = %2.2f)\n", _vec_y[0], _alpha);
if (exit_value != 77)
exit_value = check();
starpu_free((void *)_vec_x);
starpu_free((void *)_vec_y);
#ifdef STARPU_USE_OPENCL
ret = starpu_opencl_unload_opencl(&opencl_program);
STARPU_CHECK_RETURN_VALUE(ret, "starpu_opencl_unload_opencl");
#endif
/* Stop StarPU */
starpu_shutdown();
return exit_value;
}
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