| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425 | /* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2009-2016  Université de Bordeaux * Copyright (C) 2010  Mehdi Juhoor * Copyright (C) 2010, 2011, 2012, 2013, 2016, 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. *//* * Simple parallel GEMM implementation: partition the output matrix in the two * dimensions, and the input matrices in the corresponding dimension, and * perform the output computations in parallel. */#ifndef TYPE#error "Do not compile xgemm.c directly, compile sgemm.c or dgemm.c"#endif#include <limits.h>#include <string.h>#include <math.h>#include <sys/types.h>#include <starpu.h>#include <starpu_fxt.h>#include <common/blas.h>#ifdef STARPU_USE_CUDA#include <cuda.h>#include <starpu_cublas_v2.h>static const TYPE p1 = 1.0;static const TYPE m1 = -1.0;static const TYPE v0 = 0.0;#endifstatic unsigned niter = 10;static unsigned nslicesx = 4;static unsigned nslicesy = 4;#if defined(STARPU_QUICK_CHECK) && !defined(STARPU_SIMGRID)static unsigned xdim = 256;static unsigned ydim = 256;static unsigned zdim = 64;#elsestatic unsigned xdim = 960*4;static unsigned ydim = 960*4;static unsigned zdim = 960*4;#endifstatic unsigned check = 0;static unsigned bound = 0;static TYPE *A, *B, *C;static starpu_data_handle_t A_handle, B_handle, C_handle;#define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)#define PRINTF(fmt, ...) do { if (!getenv("STARPU_SSILENT")) {printf(fmt, ## __VA_ARGS__); }} while(0)static void check_output(void){	/* compute C = C - AB */	CPU_GEMM("N", "N", ydim, xdim, zdim, (TYPE)-1.0f, A, ydim, B, zdim, (TYPE)1.0f, C, ydim);	/* make sure C = 0 */	TYPE err;	err = CPU_ASUM(xdim*ydim, C, 1);	if (err < xdim*ydim*0.001)	{		FPRINTF(stderr, "Results are OK\n");	}	else	{		int max;		max = CPU_IAMAX(xdim*ydim, C, 1);		FPRINTF(stderr, "There were errors ... err = %f\n", err);		FPRINTF(stderr, "Max error : %e\n", C[max]);	}}static void init_problem_data(void){#ifndef STARPU_SIMGRID	unsigned i,j;#endif	starpu_malloc_flags((void **)&A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);	starpu_malloc_flags((void **)&B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);	starpu_malloc_flags((void **)&C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);#ifndef STARPU_SIMGRID	/* fill the A and B matrices */	for (j=0; j < ydim; j++)	{		for (i=0; i < zdim; i++)		{			A[j+i*ydim] = (TYPE)(starpu_drand48());		}	}	for (j=0; j < zdim; j++)	{		for (i=0; i < xdim; i++)		{			B[j+i*zdim] = (TYPE)(starpu_drand48());		}	}	for (j=0; j < ydim; j++)	{		for (i=0; i < xdim; i++)		{			C[j+i*ydim] = (TYPE)(0);		}	}#endif}static void partition_mult_data(void){	starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A,		ydim, ydim, zdim, sizeof(TYPE));	starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B,		zdim, zdim, xdim, sizeof(TYPE));	starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C,		ydim, ydim, xdim, sizeof(TYPE));	struct starpu_data_filter vert;	memset(&vert, 0, sizeof(vert));	vert.filter_func = starpu_matrix_filter_vertical_block;	vert.nchildren = nslicesx;	struct starpu_data_filter horiz;	memset(&horiz, 0, sizeof(horiz));	horiz.filter_func = starpu_matrix_filter_block;	horiz.nchildren = nslicesy;	starpu_data_partition(B_handle, &vert);	starpu_data_partition(A_handle, &horiz);	starpu_data_map_filters(C_handle, 2, &vert, &horiz);}#ifdef STARPU_USE_CUDAstatic void cublas_mult(void *descr[], void *arg){	(void)arg;	TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);	TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);	TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);	unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]);	unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]);	unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]);	unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]);	unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]);	unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]);	cublasStatus_t status = CUBLAS_GEMM(starpu_cublas_get_local_handle(),			CUBLAS_OP_N, CUBLAS_OP_N,			nxC, nyC, nyA,			&p1, subA, ldA, subB, ldB,			&v0, subC, ldC);	if (status != CUBLAS_STATUS_SUCCESS)		STARPU_CUBLAS_REPORT_ERROR(status);}#endifvoid cpu_mult(void *descr[], void *arg){	(void)arg;	TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);	TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);	TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);	unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]);	unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]);	unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]);	unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]);	unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]);	unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]);	int worker_size = starpu_combined_worker_get_size();	if (worker_size == 1)	{		/* Sequential CPU task */		CPU_GEMM("N", "N", nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC);	}	else	{		/* Parallel CPU task */		unsigned rank = starpu_combined_worker_get_rank();		unsigned block_size = (nyC + worker_size - 1)/worker_size;		unsigned new_nyC = STARPU_MIN(nyC, block_size*(rank+1)) - block_size*rank;		STARPU_ASSERT(nyC == STARPU_MATRIX_GET_NY(descr[1]));		TYPE *new_subB = &subB[block_size*rank];		TYPE *new_subC = &subC[block_size*rank];		CPU_GEMM("N", "N", nxC, new_nyC, nyA, (TYPE)1.0, subA, ldA, new_subB, ldB, (TYPE)0.0, new_subC, ldC);	}}static struct starpu_perfmodel starpu_gemm_model ={	.type = STARPU_HISTORY_BASED,	.symbol = STARPU_GEMM_STR(gemm)};static struct starpu_codelet cl ={	.type = STARPU_SEQ, /* changed to STARPU_SPMD if -spmd is passed */	.max_parallelism = INT_MAX,	.cpu_funcs = {cpu_mult},	.cpu_funcs_name = {"cpu_mult"},#ifdef STARPU_USE_CUDA	.cuda_funcs = {cublas_mult},#elif defined(STARPU_SIMGRID)	.cuda_funcs = {(void*)1},#endif	.cuda_flags = {STARPU_CUDA_ASYNC},	.nbuffers = 3,	.modes = {STARPU_R, STARPU_R, STARPU_RW},	.model = &starpu_gemm_model};static void parse_args(int argc, char **argv){	int i;	for (i = 1; i < argc; i++)	{		if (strcmp(argv[i], "-nblocks") == 0)		{			char *argptr;			nslicesx = strtol(argv[++i], &argptr, 10);			nslicesy = nslicesx;		}		else if (strcmp(argv[i], "-nblocksx") == 0)		{			char *argptr;			nslicesx = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-nblocksy") == 0)		{			char *argptr;			nslicesy = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-x") == 0)		{			char *argptr;			xdim = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-y") == 0)		{			char *argptr;			ydim = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-z") == 0)		{			char *argptr;			zdim = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-size") == 0)		{			char *argptr;			xdim = ydim = zdim = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-iter") == 0)		{			char *argptr;			niter = strtol(argv[++i], &argptr, 10);		}		else if (strcmp(argv[i], "-bound") == 0)		{			bound = 1;		}		else if (strcmp(argv[i], "-check") == 0)		{			check = 1;		}		else if (strcmp(argv[i], "-spmd") == 0)		{			cl.type = STARPU_SPMD;		}		else if (strcmp(argv[i], "-help") == 0 || strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0)		{			fprintf(stderr,"Usage: %s [-nblocks n] [-nblocksx x] [-nblocksy y] [-x x] [-y y] [-z z] [-size size] [-iter iter] [-bound] [-check] [-spmd]\n", argv[0]);			fprintf(stderr,"Currently selected: %ux%u * %ux%u and %ux%u blocks, %u iterations\n", zdim, ydim, xdim, zdim, nslicesx, nslicesy, niter);			exit(EXIT_SUCCESS);		}		else		{			fprintf(stderr,"Unrecognized option %s", argv[i]);			exit(EXIT_FAILURE);		}	}}int main(int argc, char **argv){	double start, end;	int ret;	parse_args(argc, argv);#ifdef STARPU_QUICK_CHECK	niter /= 10;#endif	starpu_fxt_autostart_profiling(0);	ret = starpu_init(NULL);	if (ret == -ENODEV)		return 77;	STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");	starpu_cublas_init();	init_problem_data();	partition_mult_data();	if (bound)		starpu_bound_start(0, 0);	starpu_fxt_start_profiling();	start = starpu_timing_now();	unsigned x, y, iter;	for (iter = 0; iter < niter; iter++)	{		for (x = 0; x < nslicesx; x++)		for (y = 0; y < nslicesy; y++)		{			struct starpu_task *task = starpu_task_create();			task->cl = &cl;			task->handles[0] = starpu_data_get_sub_data(A_handle, 1, y);			task->handles[1] = starpu_data_get_sub_data(B_handle, 1, x);			task->handles[2] = starpu_data_get_sub_data(C_handle, 2, x, y);			task->flops = 2ULL * (xdim/nslicesx) * (ydim/nslicesy) * zdim;			ret = starpu_task_submit(task);			if (ret == -ENODEV)			{			     ret = 77;			     goto enodev;			}			STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");			starpu_data_wont_use(starpu_data_get_sub_data(C_handle, 2, x, y));		}		starpu_task_wait_for_all();	}	end = starpu_timing_now();	starpu_fxt_stop_profiling();	if (bound)		starpu_bound_stop();	double timing = end - start;	double min, min_int;	double flops = 2.0*((unsigned long long)niter)*((unsigned long long)xdim)		           *((unsigned long long)ydim)*((unsigned long long)zdim);	if (bound)		starpu_bound_compute(&min, &min_int, 1);	PRINTF("# x\ty\tz\tms\tGFlops");	if (bound)		PRINTF("\tTms\tTGFlops\tTims\tTiGFlops");	PRINTF("\n");	PRINTF("%u\t%u\t%u\t%.0f\t%.1f", xdim, ydim, zdim, timing/niter/1000.0, flops/timing/1000.0);	if (bound)		PRINTF("\t%.0f\t%.1f\t%.0f\t%.1f", min, flops/min/1000000.0, min_int, flops/min_int/1000000.0);	PRINTF("\n");enodev:	starpu_data_unpartition(C_handle, STARPU_MAIN_RAM);	starpu_data_unpartition(B_handle, STARPU_MAIN_RAM);	starpu_data_unpartition(A_handle, STARPU_MAIN_RAM);	starpu_data_unregister(A_handle);	starpu_data_unregister(B_handle);	starpu_data_unregister(C_handle);	if (check)		check_output();	starpu_free_flags(A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);	starpu_free_flags(B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);	starpu_free_flags(C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);	starpu_cublas_shutdown();	starpu_shutdown();	return ret;}
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