examples/filters: add example in which the data is filtered twice

examples/filters/subdata.c

@@ -0,0 +1,198 @@
+/* StarPU --- Runtime system for heterogeneous multicore architectures.
+ *
+ * Copyright (C) 2010, 2011, 2012, 2013, 2015  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.
+ */
+
+#include <starpu.h>
+
+#define NX    6
+#define NY    4
+#define PARTS 2
+
+#define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
+
+void cpu_func(void *buffers[], void *cl_arg)
+{
+        unsigned i, j;
+        int *factor = (int *) cl_arg;
+
+        /* length of the matrix */
+        unsigned nx = STARPU_MATRIX_GET_NX(buffers[0]);
+        unsigned ny = STARPU_MATRIX_GET_NY(buffers[0]);
+        unsigned ld = STARPU_MATRIX_GET_LD(buffers[0]);
+        /* local copy of the matrix pointer */
+        int *val = (int *)STARPU_MATRIX_GET_PTR(buffers[0]);
+
+	FPRINTF(stderr, "applying factor %d\n", *factor);
+        for(j=0; j<ny ; j++)
+	{
+                for(i=0; i<nx ; i++)
+		{
+                        FPRINTF(stderr, "%4d ", val[(j*ld)+i]);
+                        val[(j*ld)+i] *= *factor;
+		}
+		FPRINTF(stderr,"\n");
+        }
+	FPRINTF(stderr,"\n");
+}
+
+struct starpu_codelet cl =
+{
+	.cpu_funcs = {cpu_func},
+	.cpu_funcs_name = {"cpu_func"},
+	.nbuffers = 1,
+	.modes = {STARPU_RW},
+	.name = "matrix_scal"
+};
+
+void split_func(void *buffers[], void *cl_arg)
+{
+        unsigned i, j;
+        int *factor = (int *) cl_arg;
+
+        /* length of the matrix */
+        unsigned nx = STARPU_MATRIX_GET_NX(buffers[0]);
+        unsigned ny = STARPU_MATRIX_GET_NY(buffers[0]);
+        unsigned ld = STARPU_MATRIX_GET_LD(buffers[0]);
+
+        /* local copy of the matrix pointer */
+        int *val = (int *)STARPU_MATRIX_GET_PTR(buffers[0]);
+
+	FPRINTF(stderr, "splitting\n");
+        for(j=0; j<ny ; j++)
+	{
+                for(i=0; i<nx ; i++)
+		{
+                        FPRINTF(stderr, "%4d ", val[(j*ld)+i]);
+		}
+                FPRINTF(stderr,"\n");
+        }
+	FPRINTF(stderr,"\n");
+
+	starpu_data_handle_t submatrix = starpu_data_lookup(val);
+        /* Partition the sub-matrix in PARTS sub-sub-matrices */
+	struct starpu_data_filter f =
+	{
+		.filter_func = starpu_matrix_filter_block,
+		.nchildren = PARTS
+	};
+	starpu_data_partition(submatrix, &f);
+
+        /* Submit a task on each sub-vector */
+	for (i=0; i<starpu_data_get_nb_children(submatrix); i++)
+	{
+                struct starpu_task *task = starpu_task_create();
+		task->handles[0] = starpu_data_get_sub_data(submatrix, 1, i);
+                task->cl = &cl;
+                task->cl_arg = factor;
+                task->cl_arg_size = sizeof(*factor);
+
+		int ret = starpu_task_submit(task);
+		STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
+	}
+	//starpu_data_unpartition(submatrix, STARPU_MAIN_RAM);
+}
+
+int main(int argc, char **argv)
+{
+	unsigned j, n=1;
+        int matrix[NX*NY];
+	int ret, i;
+	int factor = 12;
+
+        FPRINTF(stderr,"IN  Matrix: \n");
+        for(j=0 ; j<NY ; j++)
+	{
+                for(i=0 ; i<NX ; i++)
+		{
+                        matrix[(j*NX)+i] = n++;
+                        FPRINTF(stderr, "%4d ", matrix[(j*NX)+i]);
+                }
+                FPRINTF(stderr,"\n");
+        }
+        FPRINTF(stderr,"\n");
+
+        starpu_data_handle_t handle;
+        struct starpu_codelet split_cl =
+	{
+                .cpu_funcs = {split_func},
+                .cpu_funcs_name = {"split_func"},
+                .nbuffers = 1,
+		.modes = {STARPU_RW},
+		.name = "split_matrix"
+        };
+
+        ret = starpu_init(NULL);
+	if (ret == -ENODEV)
+		return 77;
+	STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
+
+	/* Declare data to StarPU */
+	starpu_matrix_data_register(&handle, STARPU_MAIN_RAM, (uintptr_t)matrix, NX, NX, NY, sizeof(matrix[0]));
+
+        /* Partition the matrix in PARTS sub-matrices */
+	struct starpu_data_filter f =
+	{
+		.filter_func = starpu_matrix_filter_block,
+		.nchildren = PARTS
+	};
+	starpu_data_partition(handle, &f);
+
+        /* Submit a task on each sub-vector */
+	for (i=0; i<starpu_data_get_nb_children(handle); i++)
+	{
+                struct starpu_task *task = starpu_task_create();
+		starpu_data_handle_t subdata = starpu_data_get_sub_data(handle, 1, i);
+		task->handles[0] = subdata;
+                task->cl = &split_cl;
+                task->cl_arg = &factor;
+                task->cl_arg_size = sizeof(factor);
+                task->synchronous = 1;
+
+		ret = starpu_task_submit(task);
+		if (ret == -ENODEV) goto enodev;
+		STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
+		starpu_data_unpartition(subdata, STARPU_MAIN_RAM);
+	}
+
+        /* Unpartition the data, unregister it from StarPU and shutdown */
+	starpu_data_unpartition(handle, STARPU_MAIN_RAM);
+        starpu_data_unregister(handle);
+	starpu_shutdown();
+
+        /* Print result matrix */
+	n=1;
+        FPRINTF(stderr,"OUT Matrix: \n");
+        for(j=0 ; j<NY ; j++)
+	{
+                for(i=0 ; i<NX ; i++)
+		{
+                        FPRINTF(stderr, "%4d ", matrix[(j*NX)+i]);
+			if (matrix[(j*NX)+i] != n*12)
+			{
+				FPRINTF(stderr, "Incorrect result %4d != %4d", matrix[(j*NX)+i], n*12);
+				ret=1;
+			}
+			n++;
+                }
+                FPRINTF(stderr,"\n");
+        }
+        FPRINTF(stderr,"\n");
+
+	return ret;
+
+enodev:
+	starpu_shutdown();
+	return 77;
+}