parallel_independent_homogeneous_tasks_data.c 4.4 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2016 Bérangère Subervie
  4. *
  5. * StarPU is free software; you can redistribute it and/or modify
  6. * it under the terms of the GNU Lesser General Public License as published by
  7. * the Free Software Foundation; either version 2.1 of the License, or (at
  8. * your option) any later version.
  9. *
  10. * StarPU is distributed in the hope that it will be useful, but
  11. * WITHOUT ANY WARRANTY; without even the implied warranty of
  12. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  13. *
  14. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  15. */
  16. #include <stdbool.h>
  17. #include <starpu.h>
  18. #include "../helper.h"
  19. #define TIME 0.010
  20. #define TASK_COEFFICIENT 20
  21. #define MARGIN 0.10
  22. #define SECONDS_SCALE_COEFFICIENT_TIMING_NOW 1000000
  23. #define NB_FLOAT 2000000
  24. void wait(void *descr[] STARPU_ATTRIBUTE_UNUSED, void *_args){
  25. starpu_sleep(TIME);
  26. }
  27. double cost_function(struct starpu_task *t, struct starpu_perfmodel_arch *a, unsigned i)
  28. {
  29. return TIME * 1000000;
  30. }
  31. static struct starpu_perfmodel perf_model =
  32. {
  33. .type = STARPU_PER_ARCH,
  34. .arch_cost_function = cost_function,
  35. };
  36. static struct starpu_codelet cl =
  37. {
  38. .cpu_funcs = { wait },
  39. .cuda_funcs = { wait },
  40. .opencl_funcs = { wait },
  41. .cpu_funcs_name = { "wait" },
  42. .nbuffers = 1,
  43. .modes = {STARPU_RW},
  44. .flags = STARPU_CODELET_SIMGRID_EXECUTE,
  45. .model = &perf_model,
  46. };
  47. int main(int argc, char *argv[]){
  48. int ret;
  49. ret = starpu_initialize(NULL, &argc, &argv);
  50. if (ret == -ENODEV) return STARPU_TEST_SKIPPED;
  51. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  52. unsigned nb_tasks, nb_workers;
  53. double begin_time, end_time, time_m, time_s, speed_up, expected_speed_up, percentage_expected_speed_up;
  54. bool check, check_sup;
  55. 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);
  56. nb_tasks = nb_workers*TASK_COEFFICIENT;
  57. /* We consider a vector of float that is initialized just as any of C
  58. * data */
  59. float *vector[nb_tasks];
  60. starpu_data_handle_t vector_handle[nb_tasks];
  61. unsigned i,j;
  62. for (j = 0; j < nb_tasks; j++)
  63. {
  64. vector[j] = malloc(NB_FLOAT * sizeof(float));
  65. #ifndef STARPU_SIMGRID
  66. for (i = 0; i < NB_FLOAT; i++)
  67. vector[j][i] = (i+1.0f);
  68. #endif
  69. /* Tell StaPU to associate the "vector" vector with the "vector_handle"
  70. * identifier. When a task needs to access a piece of data, it should
  71. * refer to the handle that is associated to it.
  72. * In the case of the "vector" data interface:
  73. * - the first argument of the registration method is a pointer to the
  74. * handle that should describe the data
  75. * - the second argument is the memory node where the data (ie. "vector")
  76. * resides initially: STARPU_MAIN_RAM stands for an address in main memory, as
  77. * opposed to an adress on a GPU for instance.
  78. * - the third argument is the adress of the vector in RAM
  79. * - the fourth argument is the number of elements in the vector
  80. * - the fifth argument is the size of each element.
  81. */
  82. starpu_vector_data_register(&vector_handle[j], STARPU_MAIN_RAM, (uintptr_t)vector[j], NB_FLOAT, sizeof(vector[0][0]));
  83. }
  84. begin_time = starpu_timing_now();
  85. /*execution des tasks*/
  86. for (i=0; i<nb_tasks; i++){
  87. starpu_task_insert(&cl, STARPU_RW, vector_handle[i], 0);
  88. starpu_data_wont_use(vector_handle[i]);
  89. }
  90. starpu_task_wait_for_all();
  91. end_time = starpu_timing_now();
  92. for (j = 0; j < nb_tasks; j++)
  93. starpu_data_unregister(vector_handle[j]);
  94. /*on determine si le temps mesure est satisfaisant ou pas*/
  95. time_m = (end_time - begin_time)/SECONDS_SCALE_COEFFICIENT_TIMING_NOW; //pour ramener en secondes
  96. time_s = nb_tasks * TIME;
  97. speed_up = time_s/time_m;
  98. expected_speed_up = nb_workers;
  99. percentage_expected_speed_up = 100 * (speed_up/expected_speed_up);
  100. check = speed_up >= ((1 - MARGIN) * expected_speed_up);
  101. check_sup = speed_up <= ((1 + MARGIN) * expected_speed_up);
  102. 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);
  103. starpu_shutdown();
  104. for (j = 0; j < nb_tasks; j++)
  105. free(vector[j]);
  106. if (check && check_sup){ //test reussi ou test echoue
  107. return EXIT_SUCCESS;
  108. }
  109. else{
  110. return EXIT_FAILURE;
  111. }
  112. }