Moved file

examples/cholesky_and_lu/cholesky/cholesky.h

@@ -73,6 +73,7 @@ void chol_cublas_codelet_update_u22(void *descr[], void *_args);
 
 int run_cholesky_grain_tag(struct starpu_sched_ctx *sched_ctx, int argc, char **argv);
 double run_cholesky_implicit(struct starpu_sched_ctx *sched_ctx, int argc, char **argv);
+double run_cholesky_implicit_all_machine(int argc, char **argv);
 int run_cholesky_tag(struct starpu_sched_ctx *sched_ctx, int argc, char **argv);
 double run_cholesky_tile_tag(struct starpu_sched_ctx *sched_ctx, int argc, char **argv);
 

examples/cholesky_and_lu/cholesky/cholesky_implicit_all_machine.c

@@ -0,0 +1,280 @@
+/* StarPU --- Runtime system for heterogeneous multicore architectures.
+ *
+ * Copyright (C) 2009, 2010, 2011  Université de Bordeaux 1
+ * Copyright (C) 2010  Mehdi Juhoor <mjuhoor@gmail.com>
+ * Copyright (C) 2010, 2011  Centre National de la Recherche Scientifique
+ *
+ * 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.
+ */
+
+#include "cholesky.h"
+
+/*
+ *	Create the codelets
+ */
+
+static starpu_codelet cl11 =
+{
+	.where = STARPU_CPU|STARPU_CUDA,
+	.type = STARPU_SEQ,
+	.cpu_func = chol_cpu_codelet_update_u11,
+#ifdef STARPU_USE_CUDA
+	.cuda_func = chol_cublas_codelet_update_u11,
+#endif
+	.nbuffers = 1,
+	.model = &chol_model_11
+};
+
+static starpu_codelet cl21 =
+{
+	.where = STARPU_CPU|STARPU_CUDA,
+	.type = STARPU_SEQ,
+	.cpu_func = chol_cpu_codelet_update_u21,
+#ifdef STARPU_USE_CUDA
+	.cuda_func = chol_cublas_codelet_update_u21,
+#endif
+	.nbuffers = 2,
+	.model = &chol_model_21
+};
+
+static starpu_codelet cl22 =
+{
+	.where = STARPU_CPU|STARPU_CUDA,
+	.type = STARPU_SEQ,
+	.max_parallelism = INT_MAX,
+	.cpu_func = chol_cpu_codelet_update_u22,
+#ifdef STARPU_USE_CUDA
+	.cuda_func = chol_cublas_codelet_update_u22,
+#endif
+	.nbuffers = 3,
+	.model = &chol_model_22
+};
+
+/*
+ *	code to bootstrap the factorization
+ *	and construct the DAG
+ */
+
+static void callback_turn_spmd_on(void *arg __attribute__ ((unused)))
+{
+	cl22.type = STARPU_SPMD;
+}
+
+static double _cholesky(starpu_data_handle dataA, unsigned nblocks)
+{
+	struct timeval start;
+	struct timeval end;
+
+	unsigned i,j,k;
+
+	int prio_level = noprio?STARPU_DEFAULT_PRIO:STARPU_MAX_PRIO;
+
+	gettimeofday(&start, NULL);
+
+	/* create all the DAG nodes */
+	for (k = 0; k < nblocks; k++)
+	{
+                starpu_data_handle sdatakk = starpu_data_get_sub_data(dataA, 2, k, k);
+
+                starpu_insert_task(&cl11,
+                                   STARPU_PRIORITY, prio_level,
+                                   STARPU_RW, sdatakk,
+				   STARPU_CALLBACK, (k == 3*nblocks/4)?callback_turn_spmd_on:NULL,
+                                   0);
+
+		for (j = k+1; j<nblocks; j++)
+		{
+                        starpu_data_handle sdatakj = starpu_data_get_sub_data(dataA, 2, k, j);
+
+                        starpu_insert_task(&cl21,
+                                           STARPU_PRIORITY, (j == k+1)?prio_level:STARPU_DEFAULT_PRIO,
+                                           STARPU_R, sdatakk,
+                                           STARPU_RW, sdatakj,
+                                           0);
+
+			for (i = k+1; i<nblocks; i++)
+			{
+				if (i <= j)
+                                {
+					starpu_data_handle sdataki = starpu_data_get_sub_data(dataA, 2, k, i);
+					starpu_data_handle sdataij = starpu_data_get_sub_data(dataA, 2, i, j);
+					
+					starpu_insert_task(&cl22,
+                                                           STARPU_PRIORITY, ((i == k+1) && (j == k+1))?prio_level:STARPU_DEFAULT_PRIO,
+                                                           STARPU_R, sdataki,
+                                                           STARPU_R, sdatakj,
+                                                           STARPU_RW, sdataij,
+                                                           0);
+                                }
+			}
+		}
+	}
+
+	starpu_task_wait_for_all();
+
+	starpu_data_unpartition(dataA, 0);
+
+	gettimeofday(&end, NULL);
+
+	double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
+	unsigned long n = starpu_matrix_get_nx(dataA);
+
+	double flop = (1.0f*n*n*n)/3.0f;
+	return (flop/timing/1000.0f);
+}
+
+static double cholesky(float *matA, unsigned size, unsigned ld, unsigned nblocks)
+{
+	starpu_data_handle dataA;
+
+	/* monitor and partition the A matrix into blocks :
+	 * one block is now determined by 2 unsigned (i,j) */
+	starpu_matrix_data_register(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(float));
+
+	struct starpu_data_filter f;
+		f.filter_func = starpu_vertical_block_filter_func;
+		f.nchildren = nblocks;
+		f.get_nchildren = NULL;
+		f.get_child_ops = NULL;
+
+	struct starpu_data_filter f2;
+		f2.filter_func = starpu_block_filter_func;
+		f2.nchildren = nblocks;
+		f2.get_nchildren = NULL;
+		f2.get_child_ops = NULL;
+
+	starpu_data_map_filters(dataA, 2, &f, &f2);
+
+	return _cholesky(dataA, nblocks);
+}
+
+double run_cholesky_implicit_all_machine(int argc, char **argv)
+{
+	/* create a simple definite positive symetric matrix example
+	 *
+	 *	Hilbert matrix : h(i,j) = 1/(i+j+1)
+	 * */
+
+	parse_args(argc, argv);
+
+	//	starpu_init(NULL);
+
+	//	starpu_helper_cublas_init();
+
+	float *mat;
+	starpu_data_malloc_pinned_if_possible((void **)&mat, (size_t)size*size*sizeof(float));
+
+	unsigned i,j;
+	for (i = 0; i < size; i++)
+	{
+		for (j = 0; j < size; j++)
+		{
+			mat[j +i*size] = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
+			//mat[j +i*size] = ((i == j)?1.0f*size:0.0f);
+		}
+	}
+
+//#define PRINT_OUTPUT
+#ifdef PRINT_OUTPUT
+	printf("Input :\n");
+
+	for (j = 0; j < size; j++)
+	{
+		for (i = 0; i < size; i++)
+		{
+			if (i <= j) {
+				printf("%2.2f\t", mat[j +i*size]);
+			}
+			else {
+				printf(".\t");
+			}
+		}
+		printf("\n");
+	}
+#endif
+
+	double gflops = cholesky(mat, size, size, nblocks);
+
+#ifdef PRINT_OUTPUT
+	printf("Results :\n");
+	for (j = 0; j < size; j++)
+	{
+		for (i = 0; i < size; i++)
+		{
+			if (i <= j) {
+				printf("%2.2f\t", mat[j +i*size]);
+			}
+			else {
+				printf(".\t");
+				mat[j+i*size] = 0.0f; // debug
+			}
+		}
+		printf("\n");
+	}
+#endif
+
+	if (check)
+	{
+		fprintf(stderr, "compute explicit LLt ...\n");
+		for (j = 0; j < size; j++)
+		{
+			for (i = 0; i < size; i++)
+			{
+				if (i > j) {
+					mat[j+i*size] = 0.0f; // debug
+				}
+			}
+		}
+		float *test_mat = malloc(size*size*sizeof(float));
+		STARPU_ASSERT(test_mat);
+	
+		SSYRK("L", "N", size, size, 1.0f,
+					mat, size, 0.0f, test_mat, size);
+	
+		fprintf(stderr, "comparing results ...\n");
+#ifdef PRINT_OUTPUT
+		for (j = 0; j < size; j++)
+		{
+			for (i = 0; i < size; i++)
+			{
+				if (i <= j) {
+					printf("%2.2f\t", test_mat[j +i*size]);
+				}
+				else {
+					printf(".\t");
+				}
+			}
+			printf("\n");
+		}
+#endif
+	
+		for (j = 0; j < size; j++)
+		{
+			for (i = 0; i < size; i++)
+			{
+				if (i <= j) {
+	                                float orig = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
+	                                float err = abs(test_mat[j +i*size] - orig);
+	                                if (err > 0.00001) {
+	                                        fprintf(stderr, "Error[%d, %d] --> %2.2f != %2.2f (err %2.2f)\n", i, j, test_mat[j +i*size], orig, err);
+	                                        assert(0);
+	                                }
+	                        }
+			}
+	        }
+	}
+
+	//	starpu_helper_cublas_shutdown();
+	//	starpu_shutdown();
+
+	return gflops;
+}