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mpi: add example for load balancer

Nathalie Furmento 8 years ago
parent
commit
dc458e3045
2 changed files with 285 additions and 3 deletions
  1. 9 3
      mpi/examples/Makefile.am
  2. 276 0
      mpi/examples/stencil/stencil5_lb.c

+ 9 - 3
mpi/examples/Makefile.am

@@ -1,7 +1,7 @@
 # StarPU --- Runtime system for heterogeneous multicore architectures.
 #
 # Copyright (C) 2009-2013, 2015-2016  Université de Bordeaux
-# Copyright (C) 2010, 2011, 2012, 2013, 2014, 2015, 2016  CNRS
+# Copyright (C) 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017  CNRS
 # Copyright (C) 2016  Inria
 #
 # StarPU is free software; you can redistribute it and/or modify
@@ -108,13 +108,19 @@ AM_LDFLAGS = $(STARPU_OPENCL_LDFLAGS) $(STARPU_CUDA_LDFLAGS) $(FXT_LDFLAGS) $(ST
 ###################
 if BUILD_EXAMPLES
 examplebin_PROGRAMS +=				\
-	stencil/stencil5
+	stencil/stencil5			\
+	stencil/stencil5_lb
 
 stencil_stencil5_LDADD =		\
 	../src/libstarpumpi-@STARPU_EFFECTIVE_VERSION@.la -lm
 
+stencil_stencil5_lb_LDADD =		\
+	../src/libstarpumpi-@STARPU_EFFECTIVE_VERSION@.la -lm
+
 starpu_mpi_EXAMPLES	+=	\
-	stencil/stencil5
+	stencil/stencil5	\
+	stencil/stencil5_lb
+
 endif
 
 ##################

+ 276 - 0
mpi/examples/stencil/stencil5_lb.c

@@ -0,0 +1,276 @@
+/* StarPU --- Runtime system for heterogeneous multicore architectures.
+ *
+ * Copyright (C) 2011, 2013, 2015-2016              Université Bordeaux
+ * Copyright (C) 2011, 2012, 2013, 2014, 2015, 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.
+ */
+
+#include <starpu_mpi.h>
+#include <starpu_mpi_lb.h>
+#include <math.h>
+
+#define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
+#define FPRINTF_MPI(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) { \
+    						int _disp_rank; starpu_mpi_comm_rank(MPI_COMM_WORLD, &_disp_rank);       \
+                                                fprintf(ofile, "[%d][starpu_mpi][%s] " fmt , _disp_rank, __starpu_func__ ,## __VA_ARGS__); \
+                                                fflush(ofile); }} while(0);
+
+void stencil5_cpu(void *descr[], STARPU_ATTRIBUTE_UNUSED void *_args)
+{
+	float *xy = (float *)STARPU_VARIABLE_GET_PTR(descr[0]);
+	float *xm1y = (float *)STARPU_VARIABLE_GET_PTR(descr[1]);
+	float *xp1y = (float *)STARPU_VARIABLE_GET_PTR(descr[2]);
+	float *xym1 = (float *)STARPU_VARIABLE_GET_PTR(descr[3]);
+	float *xyp1 = (float *)STARPU_VARIABLE_GET_PTR(descr[4]);
+
+//	fprintf(stdout, "VALUES: %2.2f %2.2f %2.2f %2.2f %2.2f\n", *xy, *xm1y, *xp1y, *xym1, *xyp1);
+	*xy = (*xy + *xm1y + *xp1y + *xym1 + *xyp1) / 5;
+//	fprintf(stdout, "VALUES: %2.2f %2.2f %2.2f %2.2f %2.2f\n", *xy, *xm1y, *xp1y, *xym1, *xyp1);
+}
+
+struct starpu_codelet stencil5_cl =
+{
+	.cpu_funcs = {stencil5_cpu},
+	.nbuffers = 5,
+	.modes = {STARPU_RW, STARPU_R, STARPU_R, STARPU_R, STARPU_R}
+};
+
+#ifdef STARPU_QUICK_CHECK
+#  define NITER_DEF	10
+#  define X         	2
+#  define Y         	2
+#elif !defined(STARPU_LONG_CHECK)
+#  define NITER_DEF	10
+#  define X         	5
+#  define Y         	5
+#else
+#  define NITER_DEF	100
+#  define X         	20
+#  define Y         	20
+#endif
+
+int display = 0;
+int niter = NITER_DEF;
+
+/* Returns the MPI node number where data indexes index is */
+int my_distrib(int x, int y, int nb_nodes)
+{
+	/* Block distrib */
+	return ((int)(x / sqrt(nb_nodes) + (y / sqrt(nb_nodes)) * sqrt(nb_nodes))) % nb_nodes;
+}
+
+/* Shifted distribution, for migration example */
+int my_distrib2(int x, int y, int nb_nodes)
+{
+	return (my_distrib(x, y, nb_nodes) + 1) % nb_nodes;
+}
+
+static void parse_args(int argc, char **argv)
+{
+	int i;
+	for (i = 1; i < argc; i++)
+	{
+		if (strcmp(argv[i], "-iter") == 0)
+		{
+			char *argptr;
+			niter = strtol(argv[++i], &argptr, 10);
+		}
+		if (strcmp(argv[i], "-display") == 0)
+		{
+			display = 1;
+		}
+	}
+}
+
+void get_neighbors(int **neighbor_ids, int *nneighbors)
+{
+	int ret, rank, size;
+	starpu_mpi_comm_rank(MPI_COMM_WORLD, &rank);
+	starpu_mpi_comm_size(MPI_COMM_WORLD, &size);
+	*nneighbors = 1;
+	*neighbor_ids = malloc(sizeof(int));
+	*neighbor_ids[0] = rank==size-1?0:rank+1;
+}
+
+struct data_node
+{
+	starpu_data_handle_t data_handle;
+	int node;
+};
+
+struct data_node data_nodes[X][Y];
+
+void get_data_unit_to_migrate(starpu_data_handle_t **handle_unit, int *nhandles, int dst_node)
+{
+	int rank, x, y;
+	starpu_mpi_comm_rank(MPI_COMM_WORLD, &rank);
+	fprintf(stderr, "Looking to move data from %d to %d\n", rank, dst_node);
+	for(x = 0; x < X; x++)
+	{
+		for (y = 0; y < Y; y++)
+		{
+			if (data_nodes[x][y].node == rank)
+			{
+				*handle_unit = malloc(sizeof(starpu_data_handle_t));
+				*handle_unit[0] = data_nodes[x][y].data_handle;
+				*nhandles = 1;
+				data_nodes[x][y].node = dst_node;
+				return;
+			}
+		}
+	}
+	*nhandles = 0;
+}
+
+int main(int argc, char **argv)
+{
+	int my_rank, size, x, y, loop;
+	float mean=0;
+	float matrix[X][Y];
+	struct starpu_mpi_lb_conf itf;
+
+	itf.get_neighbors = get_neighbors;
+	itf.get_data_unit_to_migrate = get_data_unit_to_migrate;
+
+	int ret = starpu_init(NULL);
+	STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
+	ret = starpu_mpi_init(&argc, &argv, 1);
+	STARPU_CHECK_RETURN_VALUE(ret, "starpu_mpi_init");
+	starpu_mpi_comm_rank(MPI_COMM_WORLD, &my_rank);
+	starpu_mpi_comm_size(MPI_COMM_WORLD, &size);
+
+	if (starpu_cpu_worker_get_count() == 0)
+	{
+		FPRINTF(stderr, "We need at least 1 CPU worker.\n");
+		starpu_mpi_shutdown();
+		starpu_shutdown();
+		return 77;
+	}
+
+	setenv("LB_HEAT_SLEEP_THRESHOLD", "5", 1);
+	starpu_mpi_lb_init("heat", &itf);
+
+	parse_args(argc, argv);
+
+	/* Initial data values */
+	starpu_srand48((long int)time(NULL));
+	for(x = 0; x < X; x++)
+	{
+		for (y = 0; y < Y; y++)
+		{
+			matrix[x][y] = (float)starpu_drand48();
+			mean += matrix[x][y];
+		}
+	}
+	mean /= (X*Y);
+
+	if (display)
+	{
+		FPRINTF_MPI(stdout, "mean=%2.2f\n", mean);
+		for(x = 0; x < X; x++)
+		{
+			fprintf(stdout, "[%d] ", my_rank);
+			for (y = 0; y < Y; y++)
+			{
+				fprintf(stdout, "%2.2f ", matrix[x][y]);
+			}
+			fprintf(stdout, "\n");
+		}
+	}
+
+	/* Initial distribution */
+	for(x = 0; x < X; x++)
+	{
+		for (y = 0; y < Y; y++)
+		{
+			data_nodes[x][y].node = my_distrib(x, y, size);
+			if (data_nodes[x][y].node == my_rank)
+			{
+				//FPRINTF(stderr, "[%d] Owning data[%d][%d]\n", my_rank, x, y);
+				starpu_variable_data_register(&data_nodes[x][y].data_handle, 0, (uintptr_t)&(matrix[x][y]), sizeof(float));
+			}
+			else if (my_rank == my_distrib(x+1, y, size) || my_rank == my_distrib(x-1, y, size)
+				 || my_rank == my_distrib(x, y+1, size) || my_rank == my_distrib(x, y-1, size))
+			{
+				/* I don't own that index, but will need it for my computations */
+				//FPRINTF(stderr, "[%d] Neighbour of data[%d][%d]\n", my_rank, x, y);
+				starpu_variable_data_register(&data_nodes[x][y].data_handle, -1, (uintptr_t)NULL, sizeof(float));
+			}
+			else
+			{
+				/* I know it's useless to allocate anything for this */
+				data_nodes[x][y].data_handle = NULL;
+			}
+			if (data_nodes[x][y].data_handle)
+			{
+				starpu_mpi_data_register(data_nodes[x][y].data_handle, (y*X)+x, data_nodes[x][y].node);
+			}
+		}
+	}
+
+	/* First computation with initial distribution */
+	for(loop=0 ; loop<niter; loop++)
+	{
+		for (x = 1; x < X-1; x++)
+		{
+			for (y = 1; y < Y-1; y++)
+			{
+				starpu_mpi_task_insert(MPI_COMM_WORLD, &stencil5_cl, STARPU_RW, data_nodes[x][y].data_handle,
+						       STARPU_R, data_nodes[x-1][y].data_handle, STARPU_R, data_nodes[x+1][y].data_handle,
+						       STARPU_R, data_nodes[x][y-1].data_handle, STARPU_R, data_nodes[x][y+1].data_handle,
+						       STARPU_TAG_ONLY, ((starpu_tag_t)X)*x + y,
+						       0);
+			}
+		}
+	}
+	FPRINTF(stderr, "Waiting ...\n");
+	starpu_task_wait_for_all();
+
+	// The load balancer needs to be shutdown before unregistering data as it needs access to them
+	starpu_mpi_lb_shutdown();
+
+	/* Unregister data */
+	for(x = 0; x < X; x++)
+	{
+		for (y = 0; y < Y; y++)
+		{
+			if (data_nodes[x][y].data_handle)
+			{
+				int mpi_rank = my_distrib(x, y, size);
+				/* Get back data to original place where the user-provided buffer is. */
+				starpu_mpi_data_migrate(MPI_COMM_WORLD, data_nodes[x][y].data_handle, mpi_rank);
+				/* And unregister it */
+				starpu_data_unregister(data_nodes[x][y].data_handle);
+			}
+		}
+	}
+
+	starpu_mpi_shutdown();
+	starpu_shutdown();
+
+	if (display)
+	{
+		FPRINTF(stdout, "[%d] mean=%2.2f\n", my_rank, mean);
+		for(x = 0; x < X; x++)
+		{
+			FPRINTF(stdout, "[%d] ", my_rank);
+			for (y = 0; y < Y; y++)
+			{
+				FPRINTF(stdout, "%2.2f ", matrix[x][y]);
+			}
+			FPRINTF(stdout, "\n");
+		}
+	}
+
+	return 0;
+}