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/* StarPU --- Runtime system for heterogeneous multicore architectures.
*
* Copyright (C) 2010, 2011, 2012 Centre National de la Recherche Scientifique
* Copyright (C) 2011 Université de Bordeaux 1
*
* 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 example demonstrates how to use StarPU to scale an array by a factor.
* It shows how to manipulate data with StarPU's data management library.
* 1- how to declare a piece of data to StarPU (starpu_vector_data_register)
* 2- how to describe which data are accessed by a task (task->handles[0])
* 3- how a kernel can manipulate the data (buffers[0].vector.ptr)
*
* This is a variant of vector_scal.c which shows it can be integrated with fortran.
*/
#include <starpu.h>
#include <starpu_opencl.h>
#include <stdio.h>
extern void scal_cpu_func(void *buffers[], void *_args);
extern void scal_cuda_func(void *buffers[], void *_args);
static struct starpu_perfmodel vector_scal_model =
{
.type = STARPU_HISTORY_BASED,
.symbol = "vector_scale_model"
};
static struct starpu_codelet cl =
{
.modes = { STARPU_RW },
.where = STARPU_CPU | STARPU_CUDA,
/* CPU implementation of the codelet */
.cpu_funcs = {scal_cpu_func, NULL},
#ifdef STARPU_USE_CUDA
/* CUDA implementation of the codelet */
.cuda_funcs = {scal_cuda_func, NULL},
#endif
.nbuffers = 1,
.model = &vector_scal_model
};
int compute_(int *F_NX, float *vector)
{
int NX = *F_NX;
int ret;
/* Initialize StarPU with default configuration */
ret = starpu_init(NULL);
if (ret == -ENODEV) return 77;
STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
/* Tell StaPU to associate the "vector" vector with the "vector_handle"
* identifier. When a task needs to access a piece of data, it should
* refer to the handle that is associated to it.
* In the case of the "vector" data interface:
* - the first argument of the registration method is a pointer to the
* handle that should describe the data
* - the second argument is the memory node where the data (ie. "vector")
* resides initially: 0 stands for an address in main memory, as
* opposed to an adress on a GPU for instance.
* - the third argument is the adress of the vector in RAM
* - the fourth argument is the number of elements in the vector
* - the fifth argument is the size of each element.
*/
starpu_data_handle_t vector_handle;
starpu_vector_data_register(&vector_handle, 0, (uintptr_t)vector, NX, sizeof(vector[0]));
float factor = 3.14;
/* create a synchronous task: any call to starpu_task_submit will block
* until it is terminated */
struct starpu_task *task = starpu_task_create();
task->synchronous = 1;
task->cl = &cl;
/* the codelet manipulates one buffer in RW mode */
task->handles[0] = vector_handle;
/* an argument is passed to the codelet, beware that this is a
* READ-ONLY buffer and that the codelet may be given a pointer to a
* COPY of the argument */
task->cl_arg = &factor;
task->cl_arg_size = sizeof(factor);
/* execute the task on any eligible computational ressource */
ret = starpu_task_submit(task);
if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
/* StarPU does not need to manipulate the array anymore so we can stop
* monitoring it */
starpu_data_unregister(vector_handle);
/* terminate StarPU, no task can be submitted after */
starpu_shutdown();
return ret;
}
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