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Add dependent homogeneous tasks with data microbenchmark

Samuel Thibault 8 年之前
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f27bc31b7b

+ 142 - 0
tests/microbenchs/parallel_dependent_homogeneous_tasks_data.c

@@ -0,0 +1,142 @@
+/* StarPU --- Runtime system for heterogeneous multicore architectures.
+ *
+ * Copyright (C) 2016  Bérangère Subervie
+ *
+ * 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 <stdbool.h>
+#include <starpu.h>
+#include "../helper.h"
+
+#define TIME 0.010
+#define TASK_COEFFICIENT 10
+#define DATA_COEFFICIENT 10.5
+#define MARGIN 0.05
+#define SECONDS_SCALE_COEFFICIENT_TIMING_NOW 1000000
+#define NB_FLOAT 4000000
+
+void wait(void *descr[] STARPU_ATTRIBUTE_UNUSED, void *_args){
+	starpu_sleep(TIME);
+}
+
+double cost_function(struct starpu_task *t, struct starpu_perfmodel_arch *a, unsigned i)
+{
+	return TIME * 1000000;
+}
+
+static struct starpu_perfmodel perf_model =
+{
+	.type = STARPU_PER_ARCH,
+	.arch_cost_function = cost_function,
+};
+
+
+static struct starpu_codelet cl =
+{
+	.cpu_funcs = { wait },
+	.cuda_funcs = { wait }, 
+	.opencl_funcs = { wait },
+	.cpu_funcs_name = { "wait" },
+	.nbuffers = 1,
+	.modes = {STARPU_RW},
+	.flags = STARPU_CODELET_SIMGRID_EXECUTE,
+	.model = &perf_model,
+};
+
+int main(int argc, char *argv[]){
+	
+	int ret;
+	
+	ret = starpu_initialize(NULL, &argc, &argv); 
+	if (ret == -ENODEV) return STARPU_TEST_SKIPPED;
+	STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
+
+	unsigned nb_tasks, nb_data, nb_workers;
+	double begin_time, end_time, time_m, time_s, speed_up, expected_speed_up, percentage_expected_speed_up;
+	bool check, check_sup;
+	
+	nb_workers = starpu_worker_get_count_by_type(STARPU_CPU_WORKER) + starpu_worker_get_count_by_type(STARPU_CUDA_WORKER) + starpu_worker_get_count_by_type(STARPU_OPENCL_WORKER);
+	nb_tasks = nb_workers*TASK_COEFFICIENT*DATA_COEFFICIENT;
+	nb_data = nb_workers*DATA_COEFFICIENT;
+
+	/* We consider a vector of float that is initialized just as any of C
+ 	 * data */
+	float *vector[nb_data];
+	starpu_data_handle_t vector_handle[nb_data];
+	unsigned i,j;
+	for (j = 0; j < nb_data; j++)
+	{
+		vector[j] = malloc(NB_FLOAT * sizeof(float));
+#ifndef STARPU_SIMGRID
+		for (i = 0; i < NB_FLOAT; i++)
+        	        vector[j][i] = (i+1.0f);
+#endif
+
+	/* Tell StaPU to associate the "vector" vector with the "vector_handle"
+	 * identifier. When a task needs to access a piece of data, it should
+	 * refer to the handle that is associated to it.
+	 * In the case of the "vector" data interface:
+	 *  - the first argument of the registration method is a pointer to the
+	 *    handle that should describe the data
+	 *  - the second argument is the memory node where the data (ie. "vector")
+	 *    resides initially: STARPU_MAIN_RAM stands for an address in main memory, as
+	 *    opposed to an adress on a GPU for instance.
+	 *  - the third argument is the adress of the vector in RAM
+	 *  - the fourth argument is the number of elements in the vector
+	 *  - the fifth argument is the size of each element.
+	 */
+		starpu_vector_data_register(&vector_handle[j], STARPU_MAIN_RAM, (uintptr_t)vector[j], NB_FLOAT, sizeof(vector[0][0]));
+	}
+
+	
+
+	begin_time = starpu_timing_now();
+
+	/*execution des tasks*/
+	
+	for (i=0; i<nb_tasks; i++)
+		starpu_task_insert(&cl, STARPU_RW, vector_handle[i%nb_data], 0);
+	for (i=0; i<nb_data; i++)
+		starpu_data_wont_use(vector_handle[i]);
+
+	starpu_task_wait_for_all();	
+	
+	end_time = starpu_timing_now();
+
+	for (j = 0; j < nb_data; j++)
+		starpu_data_unregister(vector_handle[j]);
+
+	/*on determine si le temps mesure est satisfaisant ou pas*/
+
+	time_m = (end_time - begin_time)/SECONDS_SCALE_COEFFICIENT_TIMING_NOW; //pour ramener en secondes
+	time_s = nb_tasks * TIME;
+	speed_up = time_s/time_m;
+	expected_speed_up = nb_workers;
+	percentage_expected_speed_up = 100 * (speed_up/expected_speed_up);
+	check = speed_up >= ((1 - MARGIN) * expected_speed_up);
+	check_sup = speed_up <= ((1 + MARGIN) * expected_speed_up);
+
+	printf("measured time = %f seconds\nsequential time = %f seconds\nspeed up = %f\nnumber of workers = %d\nnumber of tasks = %d\nexpected speed up = %f\npercentage of expected speed up %.2f%%\n", time_m, time_s, speed_up, nb_workers, nb_tasks, expected_speed_up, percentage_expected_speed_up);
+
+	starpu_shutdown();
+	for (j = 0; j < nb_data; j++)
+		free(vector[j]);
+	
+	if (check && check_sup){ //test reussi ou test echoue
+		return EXIT_SUCCESS;
+	}
+	else{
+		return EXIT_FAILURE;
+	}
+}
+

+ 21 - 0
tests/microbenchs/parallel_dependent_homogeneous_tasks_data.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+# StarPU --- Runtime system for heterogeneous multicore architectures.
+#
+# Copyright (C) 2016  Université de Bordeaux
+#
+# 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.
+
+source $srcdir/microbenchs/microbench.sh
+
+XSUCCESS="modular-heft modular-heft2 lws dmda dmdar dmdas dmdasd pheft"
+
+test_scheds parallel_dependent_homogeneous_tasks_data

+ 1 - 1
tests/microbenchs/parallel_independent_heterogeneous_tasks.c

@@ -20,7 +20,7 @@
 
 #define TIME 0.010
 #define TASK_COEFFICIENT 100
-#define MARGIN 0.05
+#define MARGIN 0.10
 #define TIME_CUDA_COEFFICIENT 10
 #define TIME_OPENCL_COEFFICIENT 5
 #define SECONDS_SCALE_COEFFICIENT_TIMING_NOW 1000000

+ 1 - 1
tests/microbenchs/parallel_independent_heterogeneous_tasks_data.c

@@ -24,7 +24,7 @@
 #define TIME_CUDA_COEFFICIENT 10
 #define TIME_OPENCL_COEFFICIENT 5    
 #define SECONDS_SCALE_COEFFICIENT_TIMING_NOW 1000000
-#define NB_FLOAT 200000
+#define NB_FLOAT 400000
 
 void wait_CPU(void *descr[] STARPU_ATTRIBUTE_UNUSED, void *_args){
 	starpu_sleep(TIME);

+ 1 - 1
tests/microbenchs/parallel_independent_homogeneous_tasks_data.c

@@ -22,7 +22,7 @@
 #define TASK_COEFFICIENT 20
 #define MARGIN 0.10
 #define SECONDS_SCALE_COEFFICIENT_TIMING_NOW 1000000
-#define NB_FLOAT 2000000
+#define NB_FLOAT 4000000
 
 void wait(void *descr[] STARPU_ATTRIBUTE_UNUSED, void *_args){
 	starpu_sleep(TIME);