| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009, 2010-2011  Université de Bordeaux * Copyright (C) 2010, 2011, 2012, 2013, 2014, 2015  CNRS * Copyright (C) 2011  Télécom-SudParis * * 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. *//* * As a convention, in that file, buffers[0] is represented by A, * 				  buffers[1] is B ... *//* *	Number of flops of Gemm */#include <starpu.h>#include <starpu_perfmodel.h>#include "cholesky.h"/* #define USE_PERTURBATION	1 */#ifdef USE_PERTURBATION#define PERTURBATE(a)	((starpu_drand48()*2.0f*(AMPL) + 1.0f - (AMPL))*(a))#else#define PERTURBATE(a)	(a)#endifdouble cpu_chol_task_11_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/1000.0f*0.894/0.79176);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cpu_chol_task_11_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}double cuda_chol_task_11_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/50.0f/10.75/5.088633/0.9883);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cuda_chol_task_11_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}double cpu_chol_task_21_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/7706.674/0.95/0.9965);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cpu_chol_task_21_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}double cuda_chol_task_21_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/50.0f/10.75/87.29520);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cuda_chol_task_21_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}double cpu_chol_task_22_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/50.0f/10.75/8.0760);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cpu_chol_task_22_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}double cuda_chol_task_22_cost(struct starpu_task *task, struct starpu_perfmodel_arch* arch, unsigned nimpl){	uint32_t n;	n = starpu_matrix_get_nx(task->handles[0]);	double cost = (((double)(n)*n*n)/50.0f/10.75/76.30666);#ifdef STARPU_MODEL_DEBUG	FPRINTF(stdout, "cuda_chol_task_22_cost n %d cost %e\n", n, cost);#endif	return PERTURBATE(cost);}void initialize_chol_model(struct starpu_perfmodel* model, char * symbol,			   double (*cpu_cost_function)(struct starpu_task *, struct starpu_perfmodel_arch*, unsigned),			   double (*cuda_cost_function)(struct starpu_task *, struct starpu_perfmodel_arch*, unsigned)){	struct starpu_perfmodel_per_arch *per_arch;	model->symbol = symbol;	model->type = STARPU_HISTORY_BASED;	starpu_perfmodel_init(model);	per_arch = starpu_perfmodel_get_model_per_devices(model, 0, STARPU_CPU_WORKER, 0, 1, -1);        per_arch->cost_function = cpu_cost_function;	// We could also call directly:	// starpu_perfmodel_set_per_devices_cost_function(model, 0, cpu_cost_function, STARPU_CPU_WORKER, 0, 1, -1);	if(starpu_worker_get_count_by_type(STARPU_CUDA_WORKER) != 0)	{	     	per_arch = starpu_perfmodel_get_model_per_devices(model, 0, STARPU_CUDA_WORKER, 0, 1, -1);		per_arch->cost_function = cuda_cost_function;	}}
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