1 // Copyright (c) 2017-2022, Lawrence Livermore National Security, LLC and other CEED contributors. 2 // All Rights Reserved. See the top-level LICENSE and NOTICE files for details. 3 // 4 // SPDX-License-Identifier: BSD-2-Clause 5 // 6 // This file is part of CEED: http://github.com/ceed 7 8 // libCEED + PETSc Example: CEED BPs 9 // 10 // This example demonstrates a simple usage of libCEED with PETSc to solve the 11 // CEED BP benchmark problems, see http://ceed.exascaleproject.org/bps. 12 // 13 // The code uses higher level communication protocols in DMPlex. 14 // 15 // Build with: 16 // 17 // make bps [PETSC_DIR=</path/to/petsc>] [CEED_DIR=</path/to/libceed>] 18 // 19 // Sample runs: 20 // 21 // ./bps -problem bp1 -degree 3 22 // ./bps -problem bp2 -degree 3 23 // ./bps -problem bp3 -degree 3 24 // ./bps -problem bp4 -degree 3 25 // ./bps -problem bp5 -degree 3 -ceed /cpu/self 26 // ./bps -problem bp6 -degree 3 -ceed /gpu/cuda 27 // 28 //TESTARGS -ceed {ceed_resource} -test -problem bp5 -degree 3 -ksp_max_it_clip 15,15 29 30 /// @file 31 /// CEED BPs example using PETSc with DMPlex 32 /// See bpsraw.c for a "raw" implementation using a structured grid. 33 const char help[] = "Solve CEED BPs using PETSc with DMPlex\n"; 34 35 #include <stdbool.h> 36 #include <string.h> 37 #include <ceed.h> 38 #include <petsc.h> 39 #include <petscdmplex.h> 40 #include <petscksp.h> 41 #include <petscsys.h> 42 43 #include "bps.h" 44 #include "include/bpsproblemdata.h" 45 #include "include/petscutils.h" 46 #include "include/petscversion.h" 47 #include "include/matops.h" 48 #include "include/structs.h" 49 #include "include/libceedsetup.h" 50 51 #if PETSC_VERSION_LT(3,12,0) 52 #ifdef PETSC_HAVE_CUDA 53 #include <petsccuda.h> 54 // Note: With PETSc prior to version 3.12.0, providing the source path to 55 // include 'cublas_v2.h' will be needed to use 'petsccuda.h'. 56 #endif 57 #endif 58 59 // ----------------------------------------------------------------------------- 60 // Main body of program, called in a loop for performance benchmarking purposes 61 // ----------------------------------------------------------------------------- 62 static PetscErrorCode RunWithDM(RunParams rp, DM dm, 63 const char *ceed_resource) { 64 PetscErrorCode ierr; 65 double my_rt_start, my_rt, rt_min, rt_max; 66 PetscInt xl_size, l_size, g_size; 67 PetscScalar *r; 68 Vec X, X_loc, rhs, rhs_loc; 69 Mat mat_O; 70 KSP ksp; 71 UserO user_O; 72 Ceed ceed; 73 CeedData ceed_data; 74 CeedQFunction qf_error; 75 CeedOperator op_error; 76 CeedVector rhs_ceed, target; 77 VecType vec_type; 78 PetscMemType mem_type; 79 80 PetscFunctionBeginUser; 81 // Set up libCEED 82 CeedInit(ceed_resource, &ceed); 83 CeedMemType mem_type_backend; 84 CeedGetPreferredMemType(ceed, &mem_type_backend); 85 86 ierr = DMGetVecType(dm, &vec_type); CHKERRQ(ierr); 87 if (!vec_type) { // Not yet set by user -dm_vec_type 88 switch (mem_type_backend) { 89 case CEED_MEM_HOST: vec_type = VECSTANDARD; break; 90 case CEED_MEM_DEVICE: { 91 const char *resolved; 92 CeedGetResource(ceed, &resolved); 93 if (strstr(resolved, "/gpu/cuda")) vec_type = VECCUDA; 94 else if (strstr(resolved, "/gpu/hip/occa")) 95 vec_type = VECSTANDARD; // https://github.com/CEED/libCEED/issues/678 96 else if (strstr(resolved, "/gpu/hip")) vec_type = VECHIP; 97 else vec_type = VECSTANDARD; 98 } 99 } 100 ierr = DMSetVecType(dm, vec_type); CHKERRQ(ierr); 101 } 102 103 // Create global and local solution vectors 104 ierr = DMCreateGlobalVector(dm, &X); CHKERRQ(ierr); 105 ierr = VecGetLocalSize(X, &l_size); CHKERRQ(ierr); 106 ierr = VecGetSize(X, &g_size); CHKERRQ(ierr); 107 ierr = DMCreateLocalVector(dm, &X_loc); CHKERRQ(ierr); 108 ierr = VecGetSize(X_loc, &xl_size); CHKERRQ(ierr); 109 ierr = VecDuplicate(X, &rhs); CHKERRQ(ierr); 110 111 // Operator 112 ierr = PetscMalloc1(1, &user_O); CHKERRQ(ierr); 113 ierr = MatCreateShell(rp->comm, l_size, l_size, g_size, g_size, 114 user_O, &mat_O); CHKERRQ(ierr); 115 ierr = MatShellSetOperation(mat_O, MATOP_MULT, 116 (void(*)(void))MatMult_Ceed); CHKERRQ(ierr); 117 ierr = MatShellSetOperation(mat_O, MATOP_GET_DIAGONAL, 118 (void(*)(void))MatGetDiag); CHKERRQ(ierr); 119 ierr = MatShellSetVecType(mat_O, vec_type); CHKERRQ(ierr); 120 121 // Print summary 122 if (!rp->test_mode) { 123 PetscInt P = rp->degree + 1, Q = P + rp->q_extra; 124 125 const char *used_resource; 126 CeedGetResource(ceed, &used_resource); 127 128 VecType vec_type; 129 ierr = VecGetType(X, &vec_type); CHKERRQ(ierr); 130 131 PetscInt c_start, c_end; 132 ierr = DMPlexGetHeightStratum(dm, 0, &c_start, &c_end); CHKERRQ(ierr); 133 DMPolytopeType cell_type; 134 ierr = DMPlexGetCellType(dm, c_start, &cell_type); CHKERRQ(ierr); 135 CeedElemTopology elem_topo = ElemTopologyP2C(cell_type); 136 PetscMPIInt comm_size; 137 ierr = MPI_Comm_size(rp->comm, &comm_size); CHKERRQ(ierr); 138 ierr = PetscPrintf(rp->comm, 139 "\n-- CEED Benchmark Problem %" CeedInt_FMT " -- libCEED + PETSc --\n" 140 " MPI:\n" 141 " Hostname : %s\n" 142 " Total ranks : %d\n" 143 " Ranks per compute node : %d\n" 144 " PETSc:\n" 145 " PETSc Vec Type : %s\n" 146 " libCEED:\n" 147 " libCEED Backend : %s\n" 148 " libCEED Backend MemType : %s\n" 149 " Mesh:\n" 150 " Number of 1D Basis Nodes (P) : %" CeedInt_FMT "\n" 151 " Number of 1D Quadrature Points (Q) : %" CeedInt_FMT "\n" 152 " Global nodes : %" PetscInt_FMT "\n" 153 " Local Elements : %" PetscInt_FMT "\n" 154 " Owned nodes : %" PetscInt_FMT "\n" 155 " DoF per node : %" PetscInt_FMT "\n", 156 rp->bp_choice+1, rp->hostname, comm_size, 157 rp->ranks_per_node, vec_type, used_resource, 158 CeedMemTypes[mem_type_backend], 159 P, Q, rp->q_extra, g_size/rp->num_comp_u, c_end - c_start, 160 CeedElemTopologies[elem_topo], 161 l_size/rp->num_comp_u, rp->num_comp_u); 162 CHKERRQ(ierr); 163 } 164 165 // Create RHS vector 166 ierr = VecDuplicate(X_loc, &rhs_loc); CHKERRQ(ierr); 167 ierr = VecZeroEntries(rhs_loc); CHKERRQ(ierr); 168 ierr = VecGetArrayAndMemType(rhs_loc, &r, &mem_type); CHKERRQ(ierr); 169 CeedVectorCreate(ceed, xl_size, &rhs_ceed); 170 CeedVectorSetArray(rhs_ceed, MemTypeP2C(mem_type), CEED_USE_POINTER, r); 171 172 ierr = PetscMalloc1(1, &ceed_data); CHKERRQ(ierr); 173 ierr = SetupLibceedByDegree(dm, ceed, rp->degree, rp->dim, rp->q_extra, 174 rp->dim, rp->num_comp_u, g_size, xl_size, bp_options[rp->bp_choice], 175 ceed_data, true, rhs_ceed, &target); CHKERRQ(ierr); 176 177 // Gather RHS 178 CeedVectorTakeArray(rhs_ceed, MemTypeP2C(mem_type), NULL); 179 ierr = VecRestoreArrayAndMemType(rhs_loc, &r); CHKERRQ(ierr); 180 ierr = VecZeroEntries(rhs); CHKERRQ(ierr); 181 ierr = DMLocalToGlobal(dm, rhs_loc, ADD_VALUES, rhs); CHKERRQ(ierr); 182 CeedVectorDestroy(&rhs_ceed); 183 184 // Create the error QFunction 185 CeedQFunctionCreateInterior(ceed, 1, bp_options[rp->bp_choice].error, 186 bp_options[rp->bp_choice].error_loc, &qf_error); 187 CeedQFunctionAddInput(qf_error, "u", rp->num_comp_u, CEED_EVAL_INTERP); 188 CeedQFunctionAddInput(qf_error, "true_soln", rp->num_comp_u, CEED_EVAL_NONE); 189 CeedQFunctionAddOutput(qf_error, "error", rp->num_comp_u, CEED_EVAL_NONE); 190 191 // Create the error operator 192 CeedOperatorCreate(ceed, qf_error, CEED_QFUNCTION_NONE, CEED_QFUNCTION_NONE, 193 &op_error); 194 CeedOperatorSetField(op_error, "u", ceed_data->elem_restr_u, 195 ceed_data->basis_u, CEED_VECTOR_ACTIVE); 196 CeedOperatorSetField(op_error, "true_soln", ceed_data->elem_restr_u_i, 197 CEED_BASIS_COLLOCATED, target); 198 CeedOperatorSetField(op_error, "error", ceed_data->elem_restr_u_i, 199 CEED_BASIS_COLLOCATED, CEED_VECTOR_ACTIVE); 200 201 // Set up Mat 202 user_O->comm = rp->comm; 203 user_O->dm = dm; 204 user_O->X_loc = X_loc; 205 ierr = VecDuplicate(X_loc, &user_O->Y_loc); CHKERRQ(ierr); 206 user_O->x_ceed = ceed_data->x_ceed; 207 user_O->y_ceed = ceed_data->y_ceed; 208 user_O->op = ceed_data->op_apply; 209 user_O->ceed = ceed; 210 211 ierr = KSPCreate(rp->comm, &ksp); CHKERRQ(ierr); 212 { 213 PC pc; 214 ierr = KSPGetPC(ksp, &pc); CHKERRQ(ierr); 215 if (rp->bp_choice == CEED_BP1 || rp->bp_choice == CEED_BP2) { 216 ierr = PCSetType(pc, PCJACOBI); CHKERRQ(ierr); 217 ierr = PCJacobiSetType(pc, PC_JACOBI_ROWSUM); CHKERRQ(ierr); 218 } else { 219 ierr = PCSetType(pc, PCNONE); CHKERRQ(ierr); 220 } 221 ierr = KSPSetType(ksp, KSPCG); CHKERRQ(ierr); 222 ierr = KSPSetNormType(ksp, KSP_NORM_NATURAL); CHKERRQ(ierr); 223 ierr = KSPSetTolerances(ksp, 1e-10, PETSC_DEFAULT, PETSC_DEFAULT, 224 PETSC_DEFAULT); CHKERRQ(ierr); 225 } 226 ierr = KSPSetOperators(ksp, mat_O, mat_O); CHKERRQ(ierr); 227 228 // First run's performance log is not considered for benchmarking purposes 229 ierr = KSPSetTolerances(ksp, 1e-10, PETSC_DEFAULT, PETSC_DEFAULT, 1); 230 CHKERRQ(ierr); 231 my_rt_start = MPI_Wtime(); 232 ierr = KSPSolve(ksp, rhs, X); CHKERRQ(ierr); 233 my_rt = MPI_Wtime() - my_rt_start; 234 ierr = MPI_Allreduce(MPI_IN_PLACE, &my_rt, 1, MPI_DOUBLE, MPI_MIN, rp->comm); 235 CHKERRQ(ierr); 236 // Set maxits based on first iteration timing 237 if (my_rt > 0.02) { 238 ierr = KSPSetTolerances(ksp, 1e-10, PETSC_DEFAULT, PETSC_DEFAULT, 239 rp->ksp_max_it_clip[0]); 240 CHKERRQ(ierr); 241 } else { 242 ierr = KSPSetTolerances(ksp, 1e-10, PETSC_DEFAULT, PETSC_DEFAULT, 243 rp->ksp_max_it_clip[1]); 244 CHKERRQ(ierr); 245 } 246 ierr = KSPSetFromOptions(ksp); CHKERRQ(ierr); 247 248 // Timed solve 249 ierr = VecZeroEntries(X); CHKERRQ(ierr); 250 ierr = PetscBarrier((PetscObject)ksp); CHKERRQ(ierr); 251 252 // -- Performance logging 253 ierr = PetscLogStagePush(rp->solve_stage); CHKERRQ(ierr); 254 255 // -- Solve 256 my_rt_start = MPI_Wtime(); 257 ierr = KSPSolve(ksp, rhs, X); CHKERRQ(ierr); 258 my_rt = MPI_Wtime() - my_rt_start; 259 260 // -- Performance logging 261 ierr = PetscLogStagePop(); 262 263 // Output results 264 { 265 KSPType ksp_type; 266 KSPConvergedReason reason; 267 PetscReal rnorm; 268 PetscInt its; 269 ierr = KSPGetType(ksp, &ksp_type); CHKERRQ(ierr); 270 ierr = KSPGetConvergedReason(ksp, &reason); CHKERRQ(ierr); 271 ierr = KSPGetIterationNumber(ksp, &its); CHKERRQ(ierr); 272 ierr = KSPGetResidualNorm(ksp, &rnorm); CHKERRQ(ierr); 273 if (!rp->test_mode || reason < 0 || rnorm > 1e-8) { 274 ierr = PetscPrintf(rp->comm, 275 " KSP:\n" 276 " KSP Type : %s\n" 277 " KSP Convergence : %s\n" 278 " Total KSP Iterations : %D\n" 279 " Final rnorm : %e\n", 280 ksp_type, KSPConvergedReasons[reason], its, 281 (double)rnorm); CHKERRQ(ierr); 282 } 283 if (!rp->test_mode) { 284 ierr = PetscPrintf(rp->comm," Performance:\n"); CHKERRQ(ierr); 285 } 286 { 287 PetscReal max_error; 288 ierr = ComputeErrorMax(user_O, op_error, X, target, &max_error); 289 CHKERRQ(ierr); 290 PetscReal tol = 5e-2; 291 if (!rp->test_mode || max_error > tol) { 292 ierr = MPI_Allreduce(&my_rt, &rt_min, 1, MPI_DOUBLE, MPI_MIN, rp->comm); 293 CHKERRQ(ierr); 294 ierr = MPI_Allreduce(&my_rt, &rt_max, 1, MPI_DOUBLE, MPI_MAX, rp->comm); 295 CHKERRQ(ierr); 296 ierr = PetscPrintf(rp->comm, 297 " Pointwise Error (max) : %e\n" 298 " CG Solve Time : %g (%g) sec\n", 299 (double)max_error, rt_max, rt_min); CHKERRQ(ierr); 300 } 301 } 302 if (!rp->test_mode) { 303 ierr = PetscPrintf(rp->comm, 304 " DoFs/Sec in CG : %g (%g) million\n", 305 1e-6*g_size*its/rt_max, 306 1e-6*g_size*its/rt_min); CHKERRQ(ierr); 307 } 308 } 309 310 if (rp->write_solution) { 311 PetscViewer vtk_viewer_soln; 312 313 ierr = PetscViewerCreate(rp->comm, &vtk_viewer_soln); CHKERRQ(ierr); 314 ierr = PetscViewerSetType(vtk_viewer_soln, PETSCVIEWERVTK); CHKERRQ(ierr); 315 ierr = PetscViewerFileSetName(vtk_viewer_soln, "solution.vtu"); CHKERRQ(ierr); 316 ierr = VecView(X, vtk_viewer_soln); CHKERRQ(ierr); 317 ierr = PetscViewerDestroy(&vtk_viewer_soln); CHKERRQ(ierr); 318 } 319 320 // Cleanup 321 ierr = VecDestroy(&X); CHKERRQ(ierr); 322 ierr = VecDestroy(&X_loc); CHKERRQ(ierr); 323 ierr = VecDestroy(&user_O->Y_loc); CHKERRQ(ierr); 324 ierr = MatDestroy(&mat_O); CHKERRQ(ierr); 325 ierr = PetscFree(user_O); CHKERRQ(ierr); 326 ierr = CeedDataDestroy(0, ceed_data); CHKERRQ(ierr); 327 328 ierr = VecDestroy(&rhs); CHKERRQ(ierr); 329 ierr = VecDestroy(&rhs_loc); CHKERRQ(ierr); 330 ierr = KSPDestroy(&ksp); CHKERRQ(ierr); 331 CeedVectorDestroy(&target); 332 CeedQFunctionDestroy(&qf_error); 333 CeedOperatorDestroy(&op_error); 334 CeedDestroy(&ceed); 335 PetscFunctionReturn(0); 336 } 337 338 static PetscErrorCode Run(RunParams rp, PetscInt num_resources, 339 char *const *ceed_resources, PetscInt num_bp_choices, 340 const BPType *bp_choices) { 341 PetscInt ierr; 342 DM dm; 343 344 PetscFunctionBeginUser; 345 // Setup DM 346 CreateDistributedDM(rp, &dm); 347 348 for (PetscInt b = 0; b < num_bp_choices; b++) { 349 DM dm_deg; 350 VecType vec_type; 351 PetscInt q_extra = rp->q_extra; 352 rp->bp_choice = bp_choices[b]; 353 rp->num_comp_u = bp_options[rp->bp_choice].num_comp_u; 354 rp->q_extra = q_extra < 0 ? bp_options[rp->bp_choice].q_extra : q_extra; 355 ierr = DMClone(dm, &dm_deg); CHKERRQ(ierr); 356 ierr = DMGetVecType(dm, &vec_type); CHKERRQ(ierr); 357 ierr = DMSetVecType(dm_deg, vec_type); CHKERRQ(ierr); 358 // Create DM 359 PetscInt dim; 360 ierr = DMGetDimension(dm_deg, &dim); CHKERRQ(ierr); 361 ierr = SetupDMByDegree(dm_deg, rp->degree, q_extra, rp->num_comp_u, dim, 362 bp_options[rp->bp_choice].enforce_bc, 363 bp_options[rp->bp_choice].bc_func); CHKERRQ(ierr); 364 for (PetscInt r = 0; r < num_resources; r++) { 365 ierr = RunWithDM(rp, dm_deg, ceed_resources[r]); CHKERRQ(ierr); 366 } 367 ierr = DMDestroy(&dm_deg); CHKERRQ(ierr); 368 rp->q_extra = q_extra; 369 } 370 371 ierr = DMDestroy(&dm); CHKERRQ(ierr); 372 PetscFunctionReturn(0); 373 } 374 375 int main(int argc, char **argv) { 376 PetscInt ierr, comm_size; 377 RunParams rp; 378 MPI_Comm comm; 379 char filename[PETSC_MAX_PATH_LEN]; 380 char *ceed_resources[30]; 381 PetscInt num_ceed_resources = 30; 382 char hostname[PETSC_MAX_PATH_LEN]; 383 384 PetscInt dim = 3, mesh_elem[3] = {3, 3, 3}; 385 PetscInt num_degrees = 30, degree[30] = {}, num_local_nodes = 2, 386 local_nodes[2] = {}; 387 PetscMPIInt ranks_per_node; 388 PetscBool degree_set; 389 BPType bp_choices[10]; 390 PetscInt num_bp_choices = 10; 391 392 // Initialize PETSc 393 ierr = PetscInitialize(&argc, &argv, NULL, help); 394 if (ierr) return ierr; 395 comm = PETSC_COMM_WORLD; 396 ierr = MPI_Comm_size(comm, &comm_size); 397 if (ierr != MPI_SUCCESS) return ierr; 398 #if defined(PETSC_HAVE_MPI_PROCESS_SHARED_MEMORY) 399 { 400 MPI_Comm splitcomm; 401 ierr = MPI_Comm_split_type(comm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL, 402 &splitcomm); 403 CHKERRQ(ierr); 404 ierr = MPI_Comm_size(splitcomm, &ranks_per_node); CHKERRQ(ierr); 405 ierr = MPI_Comm_free(&splitcomm); CHKERRQ(ierr); 406 } 407 #else 408 ranks_per_node = -1; // Unknown 409 #endif 410 411 // Setup all parameters needed in Run() 412 ierr = PetscMalloc1(1, &rp); CHKERRQ(ierr); 413 rp->comm = comm; 414 415 // Read command line options 416 PetscOptionsBegin(comm, NULL, "CEED BPs in PETSc", NULL); 417 { 418 PetscBool set; 419 ierr = PetscOptionsEnumArray("-problem", "CEED benchmark problem to solve", 420 NULL, 421 bp_types, (PetscEnum *)bp_choices, &num_bp_choices, &set); 422 CHKERRQ(ierr); 423 if (!set) { 424 bp_choices[0] = CEED_BP1; 425 num_bp_choices = 1; 426 } 427 } 428 rp->test_mode = PETSC_FALSE; 429 ierr = PetscOptionsBool("-test", 430 "Testing mode (do not print unless error is large)", 431 NULL, rp->test_mode, &rp->test_mode, NULL); CHKERRQ(ierr); 432 rp->write_solution = PETSC_FALSE; 433 ierr = PetscOptionsBool("-write_solution", "Write solution for visualization", 434 NULL, rp->write_solution, &rp->write_solution, NULL); 435 CHKERRQ(ierr); 436 rp->simplex = PETSC_FALSE; 437 ierr = PetscOptionsBool("-simplex", "Element topology (default:hex)", 438 NULL, rp->simplex, &rp->simplex, NULL); 439 CHKERRQ(ierr); 440 degree[0] = rp->test_mode ? 3 : 2; 441 ierr = PetscOptionsIntArray("-degree", 442 "Polynomial degree of tensor product basis", NULL, 443 degree, &num_degrees, °ree_set); CHKERRQ(ierr); 444 if (!degree_set) 445 num_degrees = 1; 446 rp->q_extra = PETSC_DECIDE; 447 ierr = PetscOptionsInt("-q_extra", 448 "Number of extra quadrature points (-1 for auto)", NULL, 449 rp->q_extra, &rp->q_extra, NULL); CHKERRQ(ierr); 450 { 451 PetscBool set; 452 ierr = PetscOptionsStringArray("-ceed", 453 "CEED resource specifier (comma-separated list)", NULL, 454 ceed_resources, &num_ceed_resources, &set); CHKERRQ(ierr); 455 if (!set) { 456 ierr = PetscStrallocpy( "/cpu/self", &ceed_resources[0]); CHKERRQ(ierr); 457 num_ceed_resources = 1; 458 } 459 } 460 ierr = PetscGetHostName(hostname, sizeof hostname); CHKERRQ(ierr); 461 ierr = PetscOptionsString("-hostname", "Hostname for output", NULL, hostname, 462 hostname, sizeof(hostname), NULL); CHKERRQ(ierr); 463 rp->read_mesh = PETSC_FALSE; 464 ierr = PetscOptionsString("-mesh", "Read mesh from file", NULL, filename, 465 filename, sizeof(filename), &rp->read_mesh); 466 CHKERRQ(ierr); 467 rp->filename = filename; 468 if (!rp->read_mesh) { 469 PetscInt tmp = dim; 470 ierr = PetscOptionsIntArray("-cells", "Number of cells per dimension", NULL, 471 mesh_elem, &tmp, NULL); CHKERRQ(ierr); 472 } 473 local_nodes[0] = 1000; 474 ierr = PetscOptionsIntArray("-local_nodes", 475 "Target number of locally owned nodes per " 476 "process (single value or min,max)", 477 NULL, local_nodes, &num_local_nodes, &rp->user_l_nodes); 478 CHKERRQ(ierr); 479 if (num_local_nodes < 2) 480 local_nodes[1] = 2 * local_nodes[0]; 481 { 482 PetscInt two = 2; 483 rp->ksp_max_it_clip[0] = 5; 484 rp->ksp_max_it_clip[1] = 20; 485 ierr = PetscOptionsIntArray("-ksp_max_it_clip", 486 "Min and max number of iterations to use during benchmarking", 487 NULL, rp->ksp_max_it_clip, &two, NULL); CHKERRQ(ierr); 488 } 489 if (!degree_set) { 490 PetscInt max_degree = 8; 491 ierr = PetscOptionsInt("-max_degree", 492 "Range of degrees [1, max_degree] to run with", 493 NULL, max_degree, &max_degree, NULL); 494 CHKERRQ(ierr); 495 for (PetscInt i = 0; i < max_degree; i++) 496 degree[i] = i + 1; 497 num_degrees = max_degree; 498 } 499 { 500 PetscBool flg; 501 PetscInt p = ranks_per_node; 502 ierr = PetscOptionsInt("-p", "Number of MPI ranks per node", NULL, 503 p, &p, &flg); 504 CHKERRQ(ierr); 505 if (flg) ranks_per_node = p; 506 } 507 508 PetscOptionsEnd(); 509 510 // Register PETSc logging stage 511 ierr = PetscLogStageRegister("Solve Stage", &rp->solve_stage); 512 CHKERRQ(ierr); 513 514 rp->hostname = hostname; 515 rp->dim = dim; 516 rp->mesh_elem = mesh_elem; 517 rp->ranks_per_node = ranks_per_node; 518 519 for (PetscInt d = 0; d < num_degrees; d++) { 520 PetscInt deg = degree[d]; 521 for (PetscInt n = local_nodes[0]; n < local_nodes[1]; n *= 2) { 522 rp->degree = deg; 523 rp->local_nodes = n; 524 ierr = Run(rp, num_ceed_resources, ceed_resources, 525 num_bp_choices, bp_choices); CHKERRQ(ierr); 526 } 527 } 528 // Clear memory 529 ierr = PetscFree(rp); CHKERRQ(ierr); 530 for (PetscInt i=0; i<num_ceed_resources; i++) { 531 ierr = PetscFree(ceed_resources[i]); CHKERRQ(ierr); 532 } 533 return PetscFinalize(); 534 } 535