starpufftx3d.c 4.8 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2010-2021 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
  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. /*
  17. *
  18. * Sequential version
  19. *
  20. */
  21. #ifdef __STARPU_USE_CUDA
  22. /* Perform one fft of size n,m */
  23. static void
  24. STARPUFFT(fft_3d_plan_gpu)(void *args)
  25. {
  26. STARPUFFT(plan) plan = args;
  27. cufftResult cures;
  28. int n = plan->n[0];
  29. int m = plan->n[1];
  30. int p = plan->n[2];
  31. int workerid = starpu_worker_get_id_check();
  32. cures = cufftPlan3d(&plan->plans[workerid].plan_cuda, n, m, p, _CUFFT_C2C);
  33. if (cures != CUFFT_SUCCESS)
  34. STARPU_CUFFT_REPORT_ERROR(cures);
  35. cufftSetStream(plan->plans[workerid].plan_cuda, starpu_cuda_get_local_stream());
  36. if (cures != CUFFT_SUCCESS)
  37. STARPU_CUFFT_REPORT_ERROR(cures);
  38. }
  39. static void
  40. STARPUFFT(fft_3d_kernel_gpu)(void *descr[], void *args)
  41. {
  42. STARPUFFT(plan) plan = args;
  43. cufftResult cures;
  44. _cufftComplex * restrict in = (_cufftComplex *)STARPU_VECTOR_GET_PTR(descr[0]);
  45. _cufftComplex * restrict out = (_cufftComplex *)STARPU_VECTOR_GET_PTR(descr[1]);
  46. int workerid = starpu_worker_get_id_check();
  47. task_per_worker[workerid]++;
  48. cures = _cufftExecC2C(plan->plans[workerid].plan_cuda, in, out, plan->sign == -1 ? CUFFT_FORWARD : CUFFT_INVERSE);
  49. if (cures != CUFFT_SUCCESS)
  50. STARPU_CUFFT_REPORT_ERROR(cures);
  51. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  52. }
  53. #endif
  54. #ifdef STARPU_HAVE_FFTW
  55. /* Perform one fft of size n,m */
  56. static void
  57. STARPUFFT(fft_3d_kernel_cpu)(void *descr[], void *_args)
  58. {
  59. STARPUFFT(plan) plan = _args;
  60. int workerid = starpu_worker_get_id_check();
  61. task_per_worker[workerid]++;
  62. STARPUFFT(complex) * restrict in = (STARPUFFT(complex) *)STARPU_VECTOR_GET_PTR(descr[0]);
  63. STARPUFFT(complex) * restrict out = (STARPUFFT(complex) *)STARPU_VECTOR_GET_PTR(descr[1]);
  64. _FFTW(execute_dft)(plan->plans[workerid].plan_cpu, in, out);
  65. }
  66. #endif
  67. static struct starpu_perfmodel STARPUFFT(fft_3d_model) = {
  68. .type = STARPU_HISTORY_BASED,
  69. .symbol = TYPE"fft_3d"
  70. };
  71. static struct starpu_codelet STARPUFFT(fft_3d_codelet) = {
  72. .where =
  73. #ifdef __STARPU_USE_CUDA
  74. STARPU_CUDA|
  75. #endif
  76. #ifdef STARPU_HAVE_FFTW
  77. STARPU_CPU|
  78. #endif
  79. 0,
  80. #ifdef __STARPU_USE_CUDA
  81. .cuda_funcs = {STARPUFFT(fft_3d_kernel_gpu)},
  82. #endif
  83. #ifdef STARPU_HAVE_FFTW
  84. .cpu_funcs = {STARPUFFT(fft_3d_kernel_cpu)},
  85. #endif
  86. CAN_EXECUTE
  87. .model = &STARPUFFT(fft_3d_model),
  88. .nbuffers = 2,
  89. .modes = {STARPU_R, STARPU_W},
  90. .name = "fft_3d_codelet"
  91. };
  92. STARPUFFT(plan)
  93. STARPUFFT(plan_dft_3d)(int n, int m, int p, int sign, unsigned flags)
  94. {
  95. unsigned workerid;
  96. if (PARALLEL) {
  97. /* TODO */
  98. STARPU_ASSERT(0);
  99. }
  100. /* TODO: flags? Automatically set FFTW_MEASURE on calibration? */
  101. STARPU_ASSERT(flags == 0);
  102. STARPUFFT(plan) plan = malloc(sizeof(*plan));
  103. memset(plan, 0, sizeof(*plan));
  104. plan->dim = 3;
  105. plan->n = malloc(plan->dim * sizeof(*plan->n));
  106. plan->n[0] = n;
  107. plan->n[1] = m;
  108. plan->n[2] = p;
  109. plan->totsize = n * m;
  110. plan->type = C2C;
  111. plan->sign = sign;
  112. /* Initialize per-worker working set */
  113. for (workerid = 0; workerid < starpu_worker_get_count(); workerid++) {
  114. switch (starpu_worker_get_type(workerid)) {
  115. case STARPU_CPU_WORKER:
  116. #ifdef STARPU_HAVE_FFTW
  117. /* fft plan: one fft of size n, m. */
  118. plan->plans[workerid].plan_cpu = _FFTW(plan_dft_3d)(n, m, p, NULL, (void*) 1, sign, _FFTW_FLAGS);
  119. STARPU_ASSERT(plan->plans[workerid].plan_cpu);
  120. #else
  121. /* #warning libstarpufft can not work correctly if libfftw3 is not installed */
  122. #endif
  123. break;
  124. case STARPU_CUDA_WORKER:
  125. break;
  126. default:
  127. /* Do not care, we won't be executing anything there. */
  128. break;
  129. }
  130. }
  131. #ifdef __STARPU_USE_CUDA
  132. starpu_execute_on_each_worker(STARPUFFT(fft_3d_plan_gpu), plan, STARPU_CUDA);
  133. #endif
  134. return plan;
  135. }
  136. /* Actually submit all the tasks. */
  137. static struct starpu_task *
  138. STARPUFFT(start3dC2C)(STARPUFFT(plan) plan, starpu_data_handle_t in, starpu_data_handle_t out)
  139. {
  140. STARPU_ASSERT(plan->type == C2C);
  141. int ret;
  142. if (PARALLEL) {
  143. /* TODO */
  144. STARPU_ASSERT(0);
  145. } else /* !PARALLEL */ {
  146. struct starpu_task *task;
  147. /* Create FFT task */
  148. task = starpu_task_create();
  149. task->detach = 0;
  150. task->cl = &STARPUFFT(fft_3d_codelet);
  151. task->handles[0] = in;
  152. task->handles[1] = out;
  153. task->cl_arg = plan;
  154. ret = starpu_task_submit(task);
  155. if (ret == -ENODEV) return NULL;
  156. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  157. return task;
  158. }
  159. }