1 /* 2 This file defines an additive Schwarz preconditioner for any Mat implementation. 3 4 Note that each processor may have any number of subdomains. But in order to 5 deal easily with the VecScatter(), we treat each processor as if it has the 6 same number of subdomains. 7 8 n - total number of true subdomains on all processors 9 n_local_true - actual number of subdomains on this processor 10 n_local = maximum over all processors of n_local_true 11 */ 12 13 #include <petsc/private/pcasmimpl.h> /*I "petscpc.h" I*/ 14 #include "petsc/private/matimpl.h" 15 16 static PetscErrorCode PCView_ASM(PC pc, PetscViewer viewer) 17 { 18 PC_ASM *osm = (PC_ASM *)pc->data; 19 PetscMPIInt rank; 20 PetscInt i, bsz; 21 PetscBool iascii, isstring; 22 PetscViewer sviewer; 23 PetscViewerFormat format; 24 const char *prefix; 25 26 PetscFunctionBegin; 27 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii)); 28 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring)); 29 if (iascii) { 30 char overlaps[256] = "user-defined overlap", blocks[256] = "total subdomain blocks not yet set"; 31 if (osm->overlap >= 0) PetscCall(PetscSNPrintf(overlaps, sizeof(overlaps), "amount of overlap = %" PetscInt_FMT, osm->overlap)); 32 if (osm->n > 0) PetscCall(PetscSNPrintf(blocks, sizeof(blocks), "total subdomain blocks = %" PetscInt_FMT, osm->n)); 33 PetscCall(PetscViewerASCIIPrintf(viewer, " %s, %s\n", blocks, overlaps)); 34 PetscCall(PetscViewerASCIIPrintf(viewer, " restriction/interpolation type - %s\n", PCASMTypes[osm->type])); 35 if (osm->dm_subdomains) PetscCall(PetscViewerASCIIPrintf(viewer, " Additive Schwarz: using DM to define subdomains\n")); 36 if (osm->loctype != PC_COMPOSITE_ADDITIVE) PetscCall(PetscViewerASCIIPrintf(viewer, " Additive Schwarz: local solve composition type - %s\n", PCCompositeTypes[osm->loctype])); 37 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 38 PetscCall(PetscViewerGetFormat(viewer, &format)); 39 if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) { 40 if (osm->ksp) { 41 PetscCall(PetscViewerASCIIPrintf(viewer, " Local solver information for first block is in the following KSP and PC objects on rank 0:\n")); 42 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 43 PetscCall(PetscViewerASCIIPrintf(viewer, " Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : "")); 44 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 45 if (rank == 0) { 46 PetscCall(PetscViewerASCIIPushTab(viewer)); 47 PetscCall(KSPView(osm->ksp[0], sviewer)); 48 PetscCall(PetscViewerASCIIPopTab(viewer)); 49 } 50 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 51 } 52 } else { 53 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 54 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, " [%d] number of local blocks = %" PetscInt_FMT "\n", (int)rank, osm->n_local_true)); 55 PetscCall(PetscViewerFlush(viewer)); 56 PetscCall(PetscViewerASCIIPrintf(viewer, " Local solver information for each block is in the following KSP and PC objects:\n")); 57 PetscCall(PetscViewerASCIIPushTab(viewer)); 58 PetscCall(PetscViewerASCIIPrintf(viewer, "- - - - - - - - - - - - - - - - - -\n")); 59 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 60 for (i = 0; i < osm->n_local_true; i++) { 61 PetscCall(ISGetLocalSize(osm->is[i], &bsz)); 62 PetscCall(PetscViewerASCIISynchronizedPrintf(sviewer, "[%d] local block number %" PetscInt_FMT ", size = %" PetscInt_FMT "\n", (int)rank, i, bsz)); 63 PetscCall(KSPView(osm->ksp[i], sviewer)); 64 PetscCall(PetscViewerASCIISynchronizedPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n")); 65 } 66 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 67 PetscCall(PetscViewerASCIIPopTab(viewer)); 68 PetscCall(PetscViewerFlush(viewer)); 69 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 70 } 71 } else if (isstring) { 72 PetscCall(PetscViewerStringSPrintf(viewer, " blocks=%" PetscInt_FMT ", overlap=%" PetscInt_FMT ", type=%s", osm->n, osm->overlap, PCASMTypes[osm->type])); 73 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 74 if (osm->ksp) PetscCall(KSPView(osm->ksp[0], sviewer)); 75 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 76 } 77 PetscFunctionReturn(PETSC_SUCCESS); 78 } 79 80 static PetscErrorCode PCASMPrintSubdomains(PC pc) 81 { 82 PC_ASM *osm = (PC_ASM *)pc->data; 83 const char *prefix; 84 char fname[PETSC_MAX_PATH_LEN + 1]; 85 PetscViewer viewer, sviewer; 86 char *s; 87 PetscInt i, j, nidx; 88 const PetscInt *idx; 89 PetscMPIInt rank, size; 90 91 PetscFunctionBegin; 92 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 93 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 94 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 95 PetscCall(PetscOptionsGetString(NULL, prefix, "-pc_asm_print_subdomains", fname, sizeof(fname), NULL)); 96 if (fname[0] == 0) PetscCall(PetscStrncpy(fname, "stdout", sizeof(fname))); 97 PetscCall(PetscViewerASCIIOpen(PetscObjectComm((PetscObject)pc), fname, &viewer)); 98 for (i = 0; i < osm->n_local; i++) { 99 if (i < osm->n_local_true) { 100 PetscCall(ISGetLocalSize(osm->is[i], &nidx)); 101 PetscCall(ISGetIndices(osm->is[i], &idx)); 102 /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/ 103 #define len 16 * (nidx + 1) + 512 104 PetscCall(PetscMalloc1(len, &s)); 105 PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer)); 106 #undef len 107 PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " with overlap:\n", rank, size, i)); 108 for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j])); 109 PetscCall(ISRestoreIndices(osm->is[i], &idx)); 110 PetscCall(PetscViewerStringSPrintf(sviewer, "\n")); 111 PetscCall(PetscViewerDestroy(&sviewer)); 112 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 113 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s)); 114 PetscCall(PetscViewerFlush(viewer)); 115 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 116 PetscCall(PetscFree(s)); 117 if (osm->is_local) { 118 /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/ 119 #define len 16 * (nidx + 1) + 512 120 PetscCall(PetscMalloc1(len, &s)); 121 PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer)); 122 #undef len 123 PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " without overlap:\n", rank, size, i)); 124 PetscCall(ISGetLocalSize(osm->is_local[i], &nidx)); 125 PetscCall(ISGetIndices(osm->is_local[i], &idx)); 126 for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j])); 127 PetscCall(ISRestoreIndices(osm->is_local[i], &idx)); 128 PetscCall(PetscViewerStringSPrintf(sviewer, "\n")); 129 PetscCall(PetscViewerDestroy(&sviewer)); 130 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 131 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s)); 132 PetscCall(PetscViewerFlush(viewer)); 133 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 134 PetscCall(PetscFree(s)); 135 } 136 } else { 137 /* Participate in collective viewer calls. */ 138 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 139 PetscCall(PetscViewerFlush(viewer)); 140 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 141 /* Assume either all ranks have is_local or none do. */ 142 if (osm->is_local) { 143 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 144 PetscCall(PetscViewerFlush(viewer)); 145 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 146 } 147 } 148 } 149 PetscCall(PetscViewerFlush(viewer)); 150 PetscCall(PetscViewerDestroy(&viewer)); 151 PetscFunctionReturn(PETSC_SUCCESS); 152 } 153 154 static PetscErrorCode PCSetUp_ASM(PC pc) 155 { 156 PC_ASM *osm = (PC_ASM *)pc->data; 157 PetscBool flg; 158 PetscInt i, m, m_local; 159 MatReuse scall = MAT_REUSE_MATRIX; 160 IS isl; 161 KSP ksp; 162 PC subpc; 163 const char *prefix, *pprefix; 164 Vec vec; 165 DM *domain_dm = NULL; 166 167 PetscFunctionBegin; 168 if (!pc->setupcalled) { 169 PetscInt m; 170 171 /* Note: if subdomains have been set either via PCASMSetTotalSubdomains() or via PCASMSetLocalSubdomains(), osm->n_local_true will not be PETSC_DECIDE */ 172 if (osm->n_local_true == PETSC_DECIDE) { 173 /* no subdomains given */ 174 /* try pc->dm first, if allowed */ 175 if (osm->dm_subdomains && pc->dm) { 176 PetscInt num_domains, d; 177 char **domain_names; 178 IS *inner_domain_is, *outer_domain_is; 179 PetscCall(DMCreateDomainDecomposition(pc->dm, &num_domains, &domain_names, &inner_domain_is, &outer_domain_is, &domain_dm)); 180 osm->overlap = -1; /* We do not want to increase the overlap of the IS. 181 A future improvement of this code might allow one to use 182 DM-defined subdomains and also increase the overlap, 183 but that is not currently supported */ 184 if (num_domains) PetscCall(PCASMSetLocalSubdomains(pc, num_domains, outer_domain_is, inner_domain_is)); 185 for (d = 0; d < num_domains; ++d) { 186 if (domain_names) PetscCall(PetscFree(domain_names[d])); 187 if (inner_domain_is) PetscCall(ISDestroy(&inner_domain_is[d])); 188 if (outer_domain_is) PetscCall(ISDestroy(&outer_domain_is[d])); 189 } 190 PetscCall(PetscFree(domain_names)); 191 PetscCall(PetscFree(inner_domain_is)); 192 PetscCall(PetscFree(outer_domain_is)); 193 } 194 if (osm->n_local_true == PETSC_DECIDE) { 195 /* still no subdomains; use one subdomain per processor */ 196 osm->n_local_true = 1; 197 } 198 } 199 { /* determine the global and max number of subdomains */ 200 struct { 201 PetscInt max, sum; 202 } inwork, outwork; 203 PetscMPIInt size; 204 205 inwork.max = osm->n_local_true; 206 inwork.sum = osm->n_local_true; 207 PetscCall(MPIU_Allreduce(&inwork, &outwork, 1, MPIU_2INT, MPIU_MAXSUM_OP, PetscObjectComm((PetscObject)pc))); 208 osm->n_local = outwork.max; 209 osm->n = outwork.sum; 210 211 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 212 if (outwork.max == 1 && outwork.sum == size) { 213 /* osm->n_local_true = 1 on all processes, set this option may enable use of optimized MatCreateSubMatrices() implementation */ 214 PetscCall(MatSetOption(pc->pmat, MAT_SUBMAT_SINGLEIS, PETSC_TRUE)); 215 } 216 } 217 if (!osm->is) { /* create the index sets */ 218 PetscCall(PCASMCreateSubdomains(pc->pmat, osm->n_local_true, &osm->is)); 219 } 220 if (osm->n_local_true > 1 && !osm->is_local) { 221 PetscCall(PetscMalloc1(osm->n_local_true, &osm->is_local)); 222 for (i = 0; i < osm->n_local_true; i++) { 223 if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */ 224 PetscCall(ISDuplicate(osm->is[i], &osm->is_local[i])); 225 PetscCall(ISCopy(osm->is[i], osm->is_local[i])); 226 } else { 227 PetscCall(PetscObjectReference((PetscObject)osm->is[i])); 228 osm->is_local[i] = osm->is[i]; 229 } 230 } 231 } 232 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 233 if (osm->overlap > 0) { 234 /* Extend the "overlapping" regions by a number of steps */ 235 PetscCall(MatIncreaseOverlap(pc->pmat, osm->n_local_true, osm->is, osm->overlap)); 236 } 237 if (osm->sort_indices) { 238 for (i = 0; i < osm->n_local_true; i++) { 239 PetscCall(ISSort(osm->is[i])); 240 if (osm->is_local) PetscCall(ISSort(osm->is_local[i])); 241 } 242 } 243 flg = PETSC_FALSE; 244 PetscCall(PetscOptionsHasName(NULL, prefix, "-pc_asm_print_subdomains", &flg)); 245 if (flg) PetscCall(PCASMPrintSubdomains(pc)); 246 if (!osm->ksp) { 247 /* Create the local solvers */ 248 PetscCall(PetscMalloc1(osm->n_local_true, &osm->ksp)); 249 if (domain_dm) PetscCall(PetscInfo(pc, "Setting up ASM subproblems using the embedded DM\n")); 250 for (i = 0; i < osm->n_local_true; i++) { 251 PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp)); 252 PetscCall(KSPSetNestLevel(ksp, pc->kspnestlevel)); 253 PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure)); 254 PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1)); 255 PetscCall(KSPSetType(ksp, KSPPREONLY)); 256 PetscCall(KSPGetPC(ksp, &subpc)); 257 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 258 PetscCall(KSPSetOptionsPrefix(ksp, prefix)); 259 PetscCall(KSPAppendOptionsPrefix(ksp, "sub_")); 260 if (domain_dm) { 261 PetscCall(KSPSetDM(ksp, domain_dm[i])); 262 PetscCall(KSPSetDMActive(ksp, PETSC_FALSE)); 263 PetscCall(DMDestroy(&domain_dm[i])); 264 } 265 osm->ksp[i] = ksp; 266 } 267 if (domain_dm) PetscCall(PetscFree(domain_dm)); 268 } 269 270 PetscCall(ISConcatenate(PETSC_COMM_SELF, osm->n_local_true, osm->is, &osm->lis)); 271 PetscCall(ISSortRemoveDups(osm->lis)); 272 PetscCall(ISGetLocalSize(osm->lis, &m)); 273 274 scall = MAT_INITIAL_MATRIX; 275 } else { 276 /* 277 Destroy the blocks from the previous iteration 278 */ 279 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 280 PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->pmat)); 281 scall = MAT_INITIAL_MATRIX; 282 } 283 } 284 285 /* Destroy previous submatrices of a different type than pc->pmat since MAT_REUSE_MATRIX won't work in that case */ 286 if (scall == MAT_REUSE_MATRIX && osm->sub_mat_type) { 287 if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat)); 288 scall = MAT_INITIAL_MATRIX; 289 } 290 291 /* 292 Extract out the submatrices 293 */ 294 PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, osm->is, scall, &osm->pmat)); 295 if (scall == MAT_INITIAL_MATRIX) { 296 PetscCall(PetscObjectGetOptionsPrefix((PetscObject)pc->pmat, &pprefix)); 297 for (i = 0; i < osm->n_local_true; i++) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i], pprefix)); 298 } 299 300 /* Convert the types of the submatrices (if needbe) */ 301 if (osm->sub_mat_type) { 302 for (i = 0; i < osm->n_local_true; i++) PetscCall(MatConvert(osm->pmat[i], osm->sub_mat_type, MAT_INPLACE_MATRIX, &(osm->pmat[i]))); 303 } 304 305 if (!pc->setupcalled) { 306 VecType vtype; 307 308 /* Create the local work vectors (from the local matrices) and scatter contexts */ 309 PetscCall(MatCreateVecs(pc->pmat, &vec, NULL)); 310 311 PetscCheck(!osm->is_local || osm->n_local_true == 1 || (osm->type != PC_ASM_INTERPOLATE && osm->type != PC_ASM_NONE), PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Cannot use interpolate or none PCASMType if is_local was provided to PCASMSetLocalSubdomains() with more than a single subdomain"); 312 if (osm->is_local && osm->type != PC_ASM_BASIC && osm->loctype == PC_COMPOSITE_ADDITIVE) PetscCall(PetscMalloc1(osm->n_local_true, &osm->lprolongation)); 313 PetscCall(PetscMalloc1(osm->n_local_true, &osm->lrestriction)); 314 PetscCall(PetscMalloc1(osm->n_local_true, &osm->x)); 315 PetscCall(PetscMalloc1(osm->n_local_true, &osm->y)); 316 317 PetscCall(ISGetLocalSize(osm->lis, &m)); 318 PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl)); 319 PetscCall(MatGetVecType(osm->pmat[0], &vtype)); 320 PetscCall(VecCreate(PETSC_COMM_SELF, &osm->lx)); 321 PetscCall(VecSetSizes(osm->lx, m, m)); 322 PetscCall(VecSetType(osm->lx, vtype)); 323 PetscCall(VecDuplicate(osm->lx, &osm->ly)); 324 PetscCall(VecScatterCreate(vec, osm->lis, osm->lx, isl, &osm->restriction)); 325 PetscCall(ISDestroy(&isl)); 326 327 for (i = 0; i < osm->n_local_true; ++i) { 328 ISLocalToGlobalMapping ltog; 329 IS isll; 330 const PetscInt *idx_is; 331 PetscInt *idx_lis, nout; 332 333 PetscCall(ISGetLocalSize(osm->is[i], &m)); 334 PetscCall(MatCreateVecs(osm->pmat[i], &osm->x[i], NULL)); 335 PetscCall(VecDuplicate(osm->x[i], &osm->y[i])); 336 337 /* generate a scatter from ly to y[i] picking all the overlapping is[i] entries */ 338 PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, <og)); 339 PetscCall(ISGetLocalSize(osm->is[i], &m)); 340 PetscCall(ISGetIndices(osm->is[i], &idx_is)); 341 PetscCall(PetscMalloc1(m, &idx_lis)); 342 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m, idx_is, &nout, idx_lis)); 343 PetscCheck(nout == m, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is not a subset of lis"); 344 PetscCall(ISRestoreIndices(osm->is[i], &idx_is)); 345 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, idx_lis, PETSC_OWN_POINTER, &isll)); 346 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 347 PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl)); 348 PetscCall(VecScatterCreate(osm->ly, isll, osm->y[i], isl, &osm->lrestriction[i])); 349 PetscCall(ISDestroy(&isll)); 350 PetscCall(ISDestroy(&isl)); 351 if (osm->lprolongation) { /* generate a scatter from y[i] to ly picking only the the non-overlapping is_local[i] entries */ 352 ISLocalToGlobalMapping ltog; 353 IS isll, isll_local; 354 const PetscInt *idx_local; 355 PetscInt *idx1, *idx2, nout; 356 357 PetscCall(ISGetLocalSize(osm->is_local[i], &m_local)); 358 PetscCall(ISGetIndices(osm->is_local[i], &idx_local)); 359 360 PetscCall(ISLocalToGlobalMappingCreateIS(osm->is[i], <og)); 361 PetscCall(PetscMalloc1(m_local, &idx1)); 362 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx1)); 363 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 364 PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of is"); 365 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx1, PETSC_OWN_POINTER, &isll)); 366 367 PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, <og)); 368 PetscCall(PetscMalloc1(m_local, &idx2)); 369 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx2)); 370 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 371 PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of lis"); 372 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx2, PETSC_OWN_POINTER, &isll_local)); 373 374 PetscCall(ISRestoreIndices(osm->is_local[i], &idx_local)); 375 PetscCall(VecScatterCreate(osm->y[i], isll, osm->ly, isll_local, &osm->lprolongation[i])); 376 377 PetscCall(ISDestroy(&isll)); 378 PetscCall(ISDestroy(&isll_local)); 379 } 380 } 381 PetscCall(VecDestroy(&vec)); 382 } 383 384 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) { 385 IS *cis; 386 PetscInt c; 387 388 PetscCall(PetscMalloc1(osm->n_local_true, &cis)); 389 for (c = 0; c < osm->n_local_true; ++c) cis[c] = osm->lis; 390 PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, cis, scall, &osm->lmats)); 391 PetscCall(PetscFree(cis)); 392 } 393 394 /* Return control to the user so that the submatrices can be modified (e.g., to apply 395 different boundary conditions for the submatrices than for the global problem) */ 396 PetscCall(PCModifySubMatrices(pc, osm->n_local_true, osm->is, osm->is, osm->pmat, pc->modifysubmatricesP)); 397 398 /* 399 Loop over subdomains putting them into local ksp 400 */ 401 PetscCall(KSPGetOptionsPrefix(osm->ksp[0], &prefix)); 402 for (i = 0; i < osm->n_local_true; i++) { 403 PetscCall(KSPSetOperators(osm->ksp[i], osm->pmat[i], osm->pmat[i])); 404 PetscCall(MatSetOptionsPrefix(osm->pmat[i], prefix)); 405 if (!pc->setupcalled) PetscCall(KSPSetFromOptions(osm->ksp[i])); 406 } 407 PetscFunctionReturn(PETSC_SUCCESS); 408 } 409 410 static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc) 411 { 412 PC_ASM *osm = (PC_ASM *)pc->data; 413 PetscInt i; 414 KSPConvergedReason reason; 415 416 PetscFunctionBegin; 417 for (i = 0; i < osm->n_local_true; i++) { 418 PetscCall(KSPSetUp(osm->ksp[i])); 419 PetscCall(KSPGetConvergedReason(osm->ksp[i], &reason)); 420 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 421 } 422 PetscFunctionReturn(PETSC_SUCCESS); 423 } 424 425 static PetscErrorCode PCApply_ASM(PC pc, Vec x, Vec y) 426 { 427 PC_ASM *osm = (PC_ASM *)pc->data; 428 PetscInt i, n_local_true = osm->n_local_true; 429 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 430 431 PetscFunctionBegin; 432 /* 433 support for limiting the restriction or interpolation to only local 434 subdomain values (leaving the other values 0). 435 */ 436 if (!(osm->type & PC_ASM_RESTRICT)) { 437 forward = SCATTER_FORWARD_LOCAL; 438 /* have to zero the work RHS since scatter may leave some slots empty */ 439 PetscCall(VecSet(osm->lx, 0.0)); 440 } 441 if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL; 442 443 PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]); 444 /* zero the global and the local solutions */ 445 PetscCall(VecSet(y, 0.0)); 446 PetscCall(VecSet(osm->ly, 0.0)); 447 448 /* copy the global RHS to local RHS including the ghost nodes */ 449 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 450 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 451 452 /* restrict local RHS to the overlapping 0-block RHS */ 453 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 454 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 455 456 /* do the local solves */ 457 for (i = 0; i < n_local_true; ++i) { 458 /* solve the overlapping i-block */ 459 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 460 PetscCall(KSPSolve(osm->ksp[i], osm->x[i], osm->y[i])); 461 PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i])); 462 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 463 464 if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping i-block solution to the local solution (only for restrictive additive) */ 465 PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 466 PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 467 } else { /* interpolate the overlapping i-block solution to the local solution */ 468 PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 469 PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 470 } 471 472 if (i < n_local_true - 1) { 473 /* restrict local RHS to the overlapping (i+1)-block RHS */ 474 PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 475 PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 476 477 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) { 478 /* update the overlapping (i+1)-block RHS using the current local solution */ 479 PetscCall(MatMult(osm->lmats[i + 1], osm->ly, osm->y[i + 1])); 480 PetscCall(VecAXPBY(osm->x[i + 1], -1., 1., osm->y[i + 1])); 481 } 482 } 483 } 484 /* add the local solution to the global solution including the ghost nodes */ 485 PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 486 PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 487 PetscFunctionReturn(PETSC_SUCCESS); 488 } 489 490 static PetscErrorCode PCMatApply_ASM(PC pc, Mat X, Mat Y) 491 { 492 PC_ASM *osm = (PC_ASM *)pc->data; 493 Mat Z, W; 494 Vec x; 495 PetscInt i, m, N; 496 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 497 498 PetscFunctionBegin; 499 PetscCheck(osm->n_local_true <= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Not yet implemented"); 500 /* 501 support for limiting the restriction or interpolation to only local 502 subdomain values (leaving the other values 0). 503 */ 504 if (!(osm->type & PC_ASM_RESTRICT)) { 505 forward = SCATTER_FORWARD_LOCAL; 506 /* have to zero the work RHS since scatter may leave some slots empty */ 507 PetscCall(VecSet(osm->lx, 0.0)); 508 } 509 if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL; 510 PetscCall(VecGetLocalSize(osm->x[0], &m)); 511 PetscCall(MatGetSize(X, NULL, &N)); 512 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &Z)); 513 514 PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]); 515 /* zero the global and the local solutions */ 516 PetscCall(MatZeroEntries(Y)); 517 PetscCall(VecSet(osm->ly, 0.0)); 518 519 for (i = 0; i < N; ++i) { 520 PetscCall(MatDenseGetColumnVecRead(X, i, &x)); 521 /* copy the global RHS to local RHS including the ghost nodes */ 522 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 523 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 524 PetscCall(MatDenseRestoreColumnVecRead(X, i, &x)); 525 526 PetscCall(MatDenseGetColumnVecWrite(Z, i, &x)); 527 /* restrict local RHS to the overlapping 0-block RHS */ 528 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward)); 529 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward)); 530 PetscCall(MatDenseRestoreColumnVecWrite(Z, i, &x)); 531 } 532 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &W)); 533 /* solve the overlapping 0-block */ 534 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0)); 535 PetscCall(KSPMatSolve(osm->ksp[0], Z, W)); 536 PetscCall(KSPCheckSolve(osm->ksp[0], pc, NULL)); 537 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0)); 538 PetscCall(MatDestroy(&Z)); 539 540 for (i = 0; i < N; ++i) { 541 PetscCall(VecSet(osm->ly, 0.0)); 542 PetscCall(MatDenseGetColumnVecRead(W, i, &x)); 543 if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping 0-block solution to the local solution (only for restrictive additive) */ 544 PetscCall(VecScatterBegin(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward)); 545 PetscCall(VecScatterEnd(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward)); 546 } else { /* interpolate the overlapping 0-block solution to the local solution */ 547 PetscCall(VecScatterBegin(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse)); 548 PetscCall(VecScatterEnd(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse)); 549 } 550 PetscCall(MatDenseRestoreColumnVecRead(W, i, &x)); 551 552 PetscCall(MatDenseGetColumnVecWrite(Y, i, &x)); 553 /* add the local solution to the global solution including the ghost nodes */ 554 PetscCall(VecScatterBegin(osm->restriction, osm->ly, x, ADD_VALUES, reverse)); 555 PetscCall(VecScatterEnd(osm->restriction, osm->ly, x, ADD_VALUES, reverse)); 556 PetscCall(MatDenseRestoreColumnVecWrite(Y, i, &x)); 557 } 558 PetscCall(MatDestroy(&W)); 559 PetscFunctionReturn(PETSC_SUCCESS); 560 } 561 562 static PetscErrorCode PCApplyTranspose_ASM(PC pc, Vec x, Vec y) 563 { 564 PC_ASM *osm = (PC_ASM *)pc->data; 565 PetscInt i, n_local_true = osm->n_local_true; 566 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 567 568 PetscFunctionBegin; 569 /* 570 Support for limiting the restriction or interpolation to only local 571 subdomain values (leaving the other values 0). 572 573 Note: these are reversed from the PCApply_ASM() because we are applying the 574 transpose of the three terms 575 */ 576 577 if (!(osm->type & PC_ASM_INTERPOLATE)) { 578 forward = SCATTER_FORWARD_LOCAL; 579 /* have to zero the work RHS since scatter may leave some slots empty */ 580 PetscCall(VecSet(osm->lx, 0.0)); 581 } 582 if (!(osm->type & PC_ASM_RESTRICT)) reverse = SCATTER_REVERSE_LOCAL; 583 584 /* zero the global and the local solutions */ 585 PetscCall(VecSet(y, 0.0)); 586 PetscCall(VecSet(osm->ly, 0.0)); 587 588 /* Copy the global RHS to local RHS including the ghost nodes */ 589 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 590 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 591 592 /* Restrict local RHS to the overlapping 0-block RHS */ 593 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 594 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 595 596 /* do the local solves */ 597 for (i = 0; i < n_local_true; ++i) { 598 /* solve the overlapping i-block */ 599 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 600 PetscCall(KSPSolveTranspose(osm->ksp[i], osm->x[i], osm->y[i])); 601 PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i])); 602 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 603 604 if (osm->lprolongation && osm->type != PC_ASM_RESTRICT) { /* interpolate the non-overlapping i-block solution to the local solution */ 605 PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 606 PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 607 } else { /* interpolate the overlapping i-block solution to the local solution */ 608 PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 609 PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 610 } 611 612 if (i < n_local_true - 1) { 613 /* Restrict local RHS to the overlapping (i+1)-block RHS */ 614 PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 615 PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 616 } 617 } 618 /* Add the local solution to the global solution including the ghost nodes */ 619 PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 620 PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 621 PetscFunctionReturn(PETSC_SUCCESS); 622 } 623 624 static PetscErrorCode PCReset_ASM(PC pc) 625 { 626 PC_ASM *osm = (PC_ASM *)pc->data; 627 PetscInt i; 628 629 PetscFunctionBegin; 630 if (osm->ksp) { 631 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPReset(osm->ksp[i])); 632 } 633 if (osm->pmat) { 634 if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat)); 635 } 636 if (osm->lrestriction) { 637 PetscCall(VecScatterDestroy(&osm->restriction)); 638 for (i = 0; i < osm->n_local_true; i++) { 639 PetscCall(VecScatterDestroy(&osm->lrestriction[i])); 640 if (osm->lprolongation) PetscCall(VecScatterDestroy(&osm->lprolongation[i])); 641 PetscCall(VecDestroy(&osm->x[i])); 642 PetscCall(VecDestroy(&osm->y[i])); 643 } 644 PetscCall(PetscFree(osm->lrestriction)); 645 if (osm->lprolongation) PetscCall(PetscFree(osm->lprolongation)); 646 PetscCall(PetscFree(osm->x)); 647 PetscCall(PetscFree(osm->y)); 648 } 649 PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local)); 650 PetscCall(ISDestroy(&osm->lis)); 651 PetscCall(VecDestroy(&osm->lx)); 652 PetscCall(VecDestroy(&osm->ly)); 653 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->lmats)); 654 655 PetscCall(PetscFree(osm->sub_mat_type)); 656 657 osm->is = NULL; 658 osm->is_local = NULL; 659 PetscFunctionReturn(PETSC_SUCCESS); 660 } 661 662 static PetscErrorCode PCDestroy_ASM(PC pc) 663 { 664 PC_ASM *osm = (PC_ASM *)pc->data; 665 PetscInt i; 666 667 PetscFunctionBegin; 668 PetscCall(PCReset_ASM(pc)); 669 if (osm->ksp) { 670 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i])); 671 PetscCall(PetscFree(osm->ksp)); 672 } 673 PetscCall(PetscFree(pc->data)); 674 675 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", NULL)); 676 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", NULL)); 677 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", NULL)); 678 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", NULL)); 679 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", NULL)); 680 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", NULL)); 681 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", NULL)); 682 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", NULL)); 683 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", NULL)); 684 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", NULL)); 685 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", NULL)); 686 PetscFunctionReturn(PETSC_SUCCESS); 687 } 688 689 static PetscErrorCode PCSetFromOptions_ASM(PC pc, PetscOptionItems *PetscOptionsObject) 690 { 691 PC_ASM *osm = (PC_ASM *)pc->data; 692 PetscInt blocks, ovl; 693 PetscBool flg; 694 PCASMType asmtype; 695 PCCompositeType loctype; 696 char sub_mat_type[256]; 697 698 PetscFunctionBegin; 699 PetscOptionsHeadBegin(PetscOptionsObject, "Additive Schwarz options"); 700 PetscCall(PetscOptionsBool("-pc_asm_dm_subdomains", "Use DMCreateDomainDecomposition() to define subdomains", "PCASMSetDMSubdomains", osm->dm_subdomains, &osm->dm_subdomains, &flg)); 701 PetscCall(PetscOptionsInt("-pc_asm_blocks", "Number of subdomains", "PCASMSetTotalSubdomains", osm->n, &blocks, &flg)); 702 if (flg) { 703 PetscCall(PCASMSetTotalSubdomains(pc, blocks, NULL, NULL)); 704 osm->dm_subdomains = PETSC_FALSE; 705 } 706 PetscCall(PetscOptionsInt("-pc_asm_local_blocks", "Number of local subdomains", "PCASMSetLocalSubdomains", osm->n_local_true, &blocks, &flg)); 707 if (flg) { 708 PetscCall(PCASMSetLocalSubdomains(pc, blocks, NULL, NULL)); 709 osm->dm_subdomains = PETSC_FALSE; 710 } 711 PetscCall(PetscOptionsInt("-pc_asm_overlap", "Number of grid points overlap", "PCASMSetOverlap", osm->overlap, &ovl, &flg)); 712 if (flg) { 713 PetscCall(PCASMSetOverlap(pc, ovl)); 714 osm->dm_subdomains = PETSC_FALSE; 715 } 716 flg = PETSC_FALSE; 717 PetscCall(PetscOptionsEnum("-pc_asm_type", "Type of restriction/extension", "PCASMSetType", PCASMTypes, (PetscEnum)osm->type, (PetscEnum *)&asmtype, &flg)); 718 if (flg) PetscCall(PCASMSetType(pc, asmtype)); 719 flg = PETSC_FALSE; 720 PetscCall(PetscOptionsEnum("-pc_asm_local_type", "Type of local solver composition", "PCASMSetLocalType", PCCompositeTypes, (PetscEnum)osm->loctype, (PetscEnum *)&loctype, &flg)); 721 if (flg) PetscCall(PCASMSetLocalType(pc, loctype)); 722 PetscCall(PetscOptionsFList("-pc_asm_sub_mat_type", "Subsolve Matrix Type", "PCASMSetSubMatType", MatList, NULL, sub_mat_type, 256, &flg)); 723 if (flg) PetscCall(PCASMSetSubMatType(pc, sub_mat_type)); 724 PetscOptionsHeadEnd(); 725 PetscFunctionReturn(PETSC_SUCCESS); 726 } 727 728 static PetscErrorCode PCASMSetLocalSubdomains_ASM(PC pc, PetscInt n, IS is[], IS is_local[]) 729 { 730 PC_ASM *osm = (PC_ASM *)pc->data; 731 PetscInt i; 732 733 PetscFunctionBegin; 734 PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Each process must have 1 or more blocks, n = %" PetscInt_FMT, n); 735 PetscCheck(!pc->setupcalled || (n == osm->n_local_true && !is), PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetLocalSubdomains() should be called before calling PCSetUp()."); 736 737 if (!pc->setupcalled) { 738 if (is) { 739 for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is[i])); 740 } 741 if (is_local) { 742 for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is_local[i])); 743 } 744 PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local)); 745 746 if (osm->ksp && osm->n_local_true != n) { 747 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i])); 748 PetscCall(PetscFree(osm->ksp)); 749 } 750 751 osm->n_local_true = n; 752 osm->is = NULL; 753 osm->is_local = NULL; 754 if (is) { 755 PetscCall(PetscMalloc1(n, &osm->is)); 756 for (i = 0; i < n; i++) osm->is[i] = is[i]; 757 /* Flag indicating that the user has set overlapping subdomains so PCASM should not increase their size. */ 758 osm->overlap = -1; 759 } 760 if (is_local) { 761 PetscCall(PetscMalloc1(n, &osm->is_local)); 762 for (i = 0; i < n; i++) osm->is_local[i] = is_local[i]; 763 if (!is) { 764 PetscCall(PetscMalloc1(osm->n_local_true, &osm->is)); 765 for (i = 0; i < osm->n_local_true; i++) { 766 if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */ 767 PetscCall(ISDuplicate(osm->is_local[i], &osm->is[i])); 768 PetscCall(ISCopy(osm->is_local[i], osm->is[i])); 769 } else { 770 PetscCall(PetscObjectReference((PetscObject)osm->is_local[i])); 771 osm->is[i] = osm->is_local[i]; 772 } 773 } 774 } 775 } 776 } 777 PetscFunctionReturn(PETSC_SUCCESS); 778 } 779 780 static PetscErrorCode PCASMSetTotalSubdomains_ASM(PC pc, PetscInt N, IS *is, IS *is_local) 781 { 782 PC_ASM *osm = (PC_ASM *)pc->data; 783 PetscMPIInt rank, size; 784 PetscInt n; 785 786 PetscFunctionBegin; 787 PetscCheck(N >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Number of total blocks must be > 0, N = %" PetscInt_FMT, N); 788 PetscCheck(!is && !is_local, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Use PCASMSetLocalSubdomains() to set specific index sets\n\they cannot be set globally yet."); 789 790 /* 791 Split the subdomains equally among all processors 792 */ 793 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 794 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 795 n = N / size + ((N % size) > rank); 796 PetscCheck(n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Process %d must have at least one block: total processors %d total blocks %" PetscInt_FMT, (int)rank, (int)size, N); 797 PetscCheck(!pc->setupcalled || n == osm->n_local_true, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "PCASMSetTotalSubdomains() should be called before PCSetUp()."); 798 if (!pc->setupcalled) { 799 PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local)); 800 801 osm->n_local_true = n; 802 osm->is = NULL; 803 osm->is_local = NULL; 804 } 805 PetscFunctionReturn(PETSC_SUCCESS); 806 } 807 808 static PetscErrorCode PCASMSetOverlap_ASM(PC pc, PetscInt ovl) 809 { 810 PC_ASM *osm = (PC_ASM *)pc->data; 811 812 PetscFunctionBegin; 813 PetscCheck(ovl >= 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap value requested"); 814 PetscCheck(!pc->setupcalled || ovl == osm->overlap, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetOverlap() should be called before PCSetUp()."); 815 if (!pc->setupcalled) osm->overlap = ovl; 816 PetscFunctionReturn(PETSC_SUCCESS); 817 } 818 819 static PetscErrorCode PCASMSetType_ASM(PC pc, PCASMType type) 820 { 821 PC_ASM *osm = (PC_ASM *)pc->data; 822 823 PetscFunctionBegin; 824 osm->type = type; 825 osm->type_set = PETSC_TRUE; 826 PetscFunctionReturn(PETSC_SUCCESS); 827 } 828 829 static PetscErrorCode PCASMGetType_ASM(PC pc, PCASMType *type) 830 { 831 PC_ASM *osm = (PC_ASM *)pc->data; 832 833 PetscFunctionBegin; 834 *type = osm->type; 835 PetscFunctionReturn(PETSC_SUCCESS); 836 } 837 838 static PetscErrorCode PCASMSetLocalType_ASM(PC pc, PCCompositeType type) 839 { 840 PC_ASM *osm = (PC_ASM *)pc->data; 841 842 PetscFunctionBegin; 843 PetscCheck(type == PC_COMPOSITE_ADDITIVE || type == PC_COMPOSITE_MULTIPLICATIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Only supports additive or multiplicative as the local type"); 844 osm->loctype = type; 845 PetscFunctionReturn(PETSC_SUCCESS); 846 } 847 848 static PetscErrorCode PCASMGetLocalType_ASM(PC pc, PCCompositeType *type) 849 { 850 PC_ASM *osm = (PC_ASM *)pc->data; 851 852 PetscFunctionBegin; 853 *type = osm->loctype; 854 PetscFunctionReturn(PETSC_SUCCESS); 855 } 856 857 static PetscErrorCode PCASMSetSortIndices_ASM(PC pc, PetscBool doSort) 858 { 859 PC_ASM *osm = (PC_ASM *)pc->data; 860 861 PetscFunctionBegin; 862 osm->sort_indices = doSort; 863 PetscFunctionReturn(PETSC_SUCCESS); 864 } 865 866 static PetscErrorCode PCASMGetSubKSP_ASM(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp) 867 { 868 PC_ASM *osm = (PC_ASM *)pc->data; 869 870 PetscFunctionBegin; 871 PetscCheck(osm->n_local_true >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ORDER, "Need to call PCSetUp() on PC (or KSPSetUp() on the outer KSP object) before calling here"); 872 873 if (n_local) *n_local = osm->n_local_true; 874 if (first_local) { 875 PetscCallMPI(MPI_Scan(&osm->n_local_true, first_local, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc))); 876 *first_local -= osm->n_local_true; 877 } 878 if (ksp) *ksp = osm->ksp; 879 PetscFunctionReturn(PETSC_SUCCESS); 880 } 881 882 static PetscErrorCode PCASMGetSubMatType_ASM(PC pc, MatType *sub_mat_type) 883 { 884 PC_ASM *osm = (PC_ASM *)pc->data; 885 886 PetscFunctionBegin; 887 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 888 PetscAssertPointer(sub_mat_type, 2); 889 *sub_mat_type = osm->sub_mat_type; 890 PetscFunctionReturn(PETSC_SUCCESS); 891 } 892 893 static PetscErrorCode PCASMSetSubMatType_ASM(PC pc, MatType sub_mat_type) 894 { 895 PC_ASM *osm = (PC_ASM *)pc->data; 896 897 PetscFunctionBegin; 898 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 899 PetscCall(PetscFree(osm->sub_mat_type)); 900 PetscCall(PetscStrallocpy(sub_mat_type, (char **)&osm->sub_mat_type)); 901 PetscFunctionReturn(PETSC_SUCCESS); 902 } 903 904 /*@C 905 PCASMSetLocalSubdomains - Sets the local subdomains (for this processor only) for the additive Schwarz preconditioner `PCASM`. 906 907 Collective 908 909 Input Parameters: 910 + pc - the preconditioner context 911 . n - the number of subdomains for this processor (default value = 1) 912 . is - the index set that defines the subdomains for this processor 913 (or `NULL` for PETSc to determine subdomains) 914 - is_local - the index sets that define the local part of the subdomains for this processor, not used unless PCASMType is PC_ASM_RESTRICT 915 (or `NULL` to not provide these) 916 917 Options Database Key: 918 . -pc_asm_local_blocks <blks> - Sets number of local blocks 919 920 Level: advanced 921 922 Notes: 923 The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local 924 925 By default the `PCASM` preconditioner uses 1 block per processor. 926 927 Use `PCASMSetTotalSubdomains()` to set the subdomains for all processors. 928 929 If is_local is provided and `PCASMType` is `PC_ASM_RESTRICT` then the solution only over the is_local region is interpolated 930 back to form the global solution (this is the standard restricted additive Schwarz method) 931 932 If the is_local is provided and `PCASMType` is `PC_ASM_INTERPOLATE` or `PC_ASM_NONE` then an error is generated since there is 933 no code to handle that case. 934 935 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 936 `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `PCASMType`, `PCASMSetType()`, `PCGASM` 937 @*/ 938 PetscErrorCode PCASMSetLocalSubdomains(PC pc, PetscInt n, IS is[], IS is_local[]) 939 { 940 PetscFunctionBegin; 941 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 942 PetscTryMethod(pc, "PCASMSetLocalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, n, is, is_local)); 943 PetscFunctionReturn(PETSC_SUCCESS); 944 } 945 946 /*@C 947 PCASMSetTotalSubdomains - Sets the subdomains for all processors for the 948 additive Schwarz preconditioner, `PCASM`. 949 950 Collective, all MPI ranks must pass in the same array of `IS` 951 952 Input Parameters: 953 + pc - the preconditioner context 954 . N - the number of subdomains for all processors 955 . is - the index sets that define the subdomains for all processors 956 (or `NULL` to ask PETSc to determine the subdomains) 957 - is_local - the index sets that define the local part of the subdomains for this processor 958 (or `NULL` to not provide this information) 959 960 Options Database Key: 961 . -pc_asm_blocks <blks> - Sets total blocks 962 963 Level: advanced 964 965 Notes: 966 Currently you cannot use this to set the actual subdomains with the argument is or is_local. 967 968 By default the `PCASM` preconditioner uses 1 block per processor. 969 970 These index sets cannot be destroyed until after completion of the 971 linear solves for which the `PCASM` preconditioner is being used. 972 973 Use `PCASMSetLocalSubdomains()` to set local subdomains. 974 975 The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local 976 977 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 978 `PCASMCreateSubdomains2D()`, `PCGASM` 979 @*/ 980 PetscErrorCode PCASMSetTotalSubdomains(PC pc, PetscInt N, IS is[], IS is_local[]) 981 { 982 PetscFunctionBegin; 983 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 984 PetscTryMethod(pc, "PCASMSetTotalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, N, is, is_local)); 985 PetscFunctionReturn(PETSC_SUCCESS); 986 } 987 988 /*@ 989 PCASMSetOverlap - Sets the overlap between a pair of subdomains for the 990 additive Schwarz preconditioner, `PCASM`. 991 992 Logically Collective 993 994 Input Parameters: 995 + pc - the preconditioner context 996 - ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1) 997 998 Options Database Key: 999 . -pc_asm_overlap <ovl> - Sets overlap 1000 1001 Level: intermediate 1002 1003 Notes: 1004 By default the `PCASM` preconditioner uses 1 block per processor. To use 1005 multiple blocks per perocessor, see `PCASMSetTotalSubdomains()` and 1006 `PCASMSetLocalSubdomains()` (and the option -pc_asm_blocks <blks>). 1007 1008 The overlap defaults to 1, so if one desires that no additional 1009 overlap be computed beyond what may have been set with a call to 1010 `PCASMSetTotalSubdomains()` or `PCASMSetLocalSubdomains()`, then ovl 1011 must be set to be 0. In particular, if one does not explicitly set 1012 the subdomains an application code, then all overlap would be computed 1013 internally by PETSc, and using an overlap of 0 would result in an `PCASM` 1014 variant that is equivalent to the block Jacobi preconditioner. 1015 1016 The default algorithm used by PETSc to increase overlap is fast, but not scalable, 1017 use the option -mat_increase_overlap_scalable when the problem and number of processes is large. 1018 1019 One can define initial index sets with any overlap via 1020 `PCASMSetLocalSubdomains()`; the routine 1021 `PCASMSetOverlap()` merely allows PETSc to extend that overlap further 1022 if desired. 1023 1024 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`, 1025 `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `MatIncreaseOverlap()`, `PCGASM` 1026 @*/ 1027 PetscErrorCode PCASMSetOverlap(PC pc, PetscInt ovl) 1028 { 1029 PetscFunctionBegin; 1030 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1031 PetscValidLogicalCollectiveInt(pc, ovl, 2); 1032 PetscTryMethod(pc, "PCASMSetOverlap_C", (PC, PetscInt), (pc, ovl)); 1033 PetscFunctionReturn(PETSC_SUCCESS); 1034 } 1035 1036 /*@ 1037 PCASMSetType - Sets the type of restriction and interpolation used 1038 for local problems in the additive Schwarz method, `PCASM`. 1039 1040 Logically Collective 1041 1042 Input Parameters: 1043 + pc - the preconditioner context 1044 - type - variant of `PCASM`, one of 1045 .vb 1046 PC_ASM_BASIC - full interpolation and restriction 1047 PC_ASM_RESTRICT - full restriction, local processor interpolation (default) 1048 PC_ASM_INTERPOLATE - full interpolation, local processor restriction 1049 PC_ASM_NONE - local processor restriction and interpolation 1050 .ve 1051 1052 Options Database Key: 1053 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType` 1054 1055 Level: intermediate 1056 1057 Note: 1058 if the is_local arguments are passed to `PCASMSetLocalSubdomains()` then they are used when `PC_ASM_RESTRICT` has been selected 1059 to limit the local processor interpolation 1060 1061 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, 1062 `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetLocalType()`, `PCASMGetLocalType()`, `PCGASM` 1063 @*/ 1064 PetscErrorCode PCASMSetType(PC pc, PCASMType type) 1065 { 1066 PetscFunctionBegin; 1067 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1068 PetscValidLogicalCollectiveEnum(pc, type, 2); 1069 PetscTryMethod(pc, "PCASMSetType_C", (PC, PCASMType), (pc, type)); 1070 PetscFunctionReturn(PETSC_SUCCESS); 1071 } 1072 1073 /*@ 1074 PCASMGetType - Gets the type of restriction and interpolation used 1075 for local problems in the additive Schwarz method, `PCASM`. 1076 1077 Logically Collective 1078 1079 Input Parameter: 1080 . pc - the preconditioner context 1081 1082 Output Parameter: 1083 . type - variant of `PCASM`, one of 1084 .vb 1085 PC_ASM_BASIC - full interpolation and restriction 1086 PC_ASM_RESTRICT - full restriction, local processor interpolation 1087 PC_ASM_INTERPOLATE - full interpolation, local processor restriction 1088 PC_ASM_NONE - local processor restriction and interpolation 1089 .ve 1090 1091 Options Database Key: 1092 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASM` type 1093 1094 Level: intermediate 1095 1096 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, `PCGASM`, 1097 `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()` 1098 @*/ 1099 PetscErrorCode PCASMGetType(PC pc, PCASMType *type) 1100 { 1101 PetscFunctionBegin; 1102 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1103 PetscUseMethod(pc, "PCASMGetType_C", (PC, PCASMType *), (pc, type)); 1104 PetscFunctionReturn(PETSC_SUCCESS); 1105 } 1106 1107 /*@ 1108 PCASMSetLocalType - Sets the type of composition used for local problems in the additive Schwarz method, `PCASM`. 1109 1110 Logically Collective 1111 1112 Input Parameters: 1113 + pc - the preconditioner context 1114 - type - type of composition, one of 1115 .vb 1116 PC_COMPOSITE_ADDITIVE - local additive combination 1117 PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination 1118 .ve 1119 1120 Options Database Key: 1121 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type 1122 1123 Level: intermediate 1124 1125 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMGetLocalType()`, `PCASMType`, `PCCompositeType` 1126 @*/ 1127 PetscErrorCode PCASMSetLocalType(PC pc, PCCompositeType type) 1128 { 1129 PetscFunctionBegin; 1130 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1131 PetscValidLogicalCollectiveEnum(pc, type, 2); 1132 PetscTryMethod(pc, "PCASMSetLocalType_C", (PC, PCCompositeType), (pc, type)); 1133 PetscFunctionReturn(PETSC_SUCCESS); 1134 } 1135 1136 /*@ 1137 PCASMGetLocalType - Gets the type of composition used for local problems in the additive Schwarz method, `PCASM`. 1138 1139 Logically Collective 1140 1141 Input Parameter: 1142 . pc - the preconditioner context 1143 1144 Output Parameter: 1145 . type - type of composition, one of 1146 .vb 1147 PC_COMPOSITE_ADDITIVE - local additive combination 1148 PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination 1149 .ve 1150 1151 Options Database Key: 1152 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type 1153 1154 Level: intermediate 1155 1156 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMCreate()`, `PCASMType`, `PCCompositeType` 1157 @*/ 1158 PetscErrorCode PCASMGetLocalType(PC pc, PCCompositeType *type) 1159 { 1160 PetscFunctionBegin; 1161 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1162 PetscAssertPointer(type, 2); 1163 PetscUseMethod(pc, "PCASMGetLocalType_C", (PC, PCCompositeType *), (pc, type)); 1164 PetscFunctionReturn(PETSC_SUCCESS); 1165 } 1166 1167 /*@ 1168 PCASMSetSortIndices - Determines whether subdomain indices are sorted. 1169 1170 Logically Collective 1171 1172 Input Parameters: 1173 + pc - the preconditioner context 1174 - doSort - sort the subdomain indices 1175 1176 Level: intermediate 1177 1178 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, 1179 `PCASMCreateSubdomains2D()` 1180 @*/ 1181 PetscErrorCode PCASMSetSortIndices(PC pc, PetscBool doSort) 1182 { 1183 PetscFunctionBegin; 1184 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1185 PetscValidLogicalCollectiveBool(pc, doSort, 2); 1186 PetscTryMethod(pc, "PCASMSetSortIndices_C", (PC, PetscBool), (pc, doSort)); 1187 PetscFunctionReturn(PETSC_SUCCESS); 1188 } 1189 1190 /*@C 1191 PCASMGetSubKSP - Gets the local `KSP` contexts for all blocks on 1192 this processor. 1193 1194 Collective iff first_local is requested 1195 1196 Input Parameter: 1197 . pc - the preconditioner context 1198 1199 Output Parameters: 1200 + n_local - the number of blocks on this processor or NULL 1201 . first_local - the global number of the first block on this processor or NULL, 1202 all processors must request or all must pass NULL 1203 - ksp - the array of `KSP` contexts 1204 1205 Level: advanced 1206 1207 Notes: 1208 After `PCASMGetSubKSP()` the array of `KSP`s is not to be freed. 1209 1210 You must call `KSPSetUp()` before calling `PCASMGetSubKSP()`. 1211 1212 Fortran Notes: 1213 The output argument 'ksp' must be an array of sufficient length or `PETSC_NULL_KSP`. The latter can be used to learn the necessary length. 1214 1215 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, 1216 `PCASMCreateSubdomains2D()`, 1217 @*/ 1218 PetscErrorCode PCASMGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[]) 1219 { 1220 PetscFunctionBegin; 1221 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1222 PetscUseMethod(pc, "PCASMGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp)); 1223 PetscFunctionReturn(PETSC_SUCCESS); 1224 } 1225 1226 /*MC 1227 PCASM - Use the (restricted) additive Schwarz method, each block is (approximately) solved with 1228 its own `KSP` object, {cite}`dryja1987additive` and {cite}`1sbg` 1229 1230 Options Database Keys: 1231 + -pc_asm_blocks <blks> - Sets total blocks. Defaults to one block per MPI process. 1232 . -pc_asm_overlap <ovl> - Sets overlap 1233 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`, default is restrict. See `PCASMSetType()` 1234 - -pc_asm_local_type [additive, multiplicative] - Sets `PCCompositeType`, default is additive. See `PCASMSetLocalType()` 1235 1236 Level: beginner 1237 1238 Notes: 1239 If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you 1240 will get a different convergence rate due to the default option of -pc_asm_type restrict. Use 1241 -pc_asm_type basic to get the same convergence behavior 1242 1243 Each processor can have one or more blocks, but a block cannot be shared by more 1244 than one processor. Use `PCGASM` for subdomains shared by multiple processes. 1245 1246 To set options on the solvers for each block append -sub_ to all the `KSP`, and `PC` 1247 options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly 1248 1249 To set the options on the solvers separate for each block call `PCASMGetSubKSP()` 1250 and set the options directly on the resulting `KSP` object (you can access its `PC` with `KSPGetPC()`) 1251 1252 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCASMType`, `PCCompositeType`, 1253 `PCBJACOBI`, `PCASMGetSubKSP()`, `PCASMSetLocalSubdomains()`, `PCASMType`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()` 1254 `PCASMSetTotalSubdomains()`, `PCSetModifySubMatrices()`, `PCASMSetOverlap()`, `PCASMSetType()`, `PCCompositeType` 1255 M*/ 1256 1257 PETSC_EXTERN PetscErrorCode PCCreate_ASM(PC pc) 1258 { 1259 PC_ASM *osm; 1260 1261 PetscFunctionBegin; 1262 PetscCall(PetscNew(&osm)); 1263 1264 osm->n = PETSC_DECIDE; 1265 osm->n_local = 0; 1266 osm->n_local_true = PETSC_DECIDE; 1267 osm->overlap = 1; 1268 osm->ksp = NULL; 1269 osm->restriction = NULL; 1270 osm->lprolongation = NULL; 1271 osm->lrestriction = NULL; 1272 osm->x = NULL; 1273 osm->y = NULL; 1274 osm->is = NULL; 1275 osm->is_local = NULL; 1276 osm->mat = NULL; 1277 osm->pmat = NULL; 1278 osm->type = PC_ASM_RESTRICT; 1279 osm->loctype = PC_COMPOSITE_ADDITIVE; 1280 osm->sort_indices = PETSC_TRUE; 1281 osm->dm_subdomains = PETSC_FALSE; 1282 osm->sub_mat_type = NULL; 1283 1284 pc->data = (void *)osm; 1285 pc->ops->apply = PCApply_ASM; 1286 pc->ops->matapply = PCMatApply_ASM; 1287 pc->ops->applytranspose = PCApplyTranspose_ASM; 1288 pc->ops->setup = PCSetUp_ASM; 1289 pc->ops->reset = PCReset_ASM; 1290 pc->ops->destroy = PCDestroy_ASM; 1291 pc->ops->setfromoptions = PCSetFromOptions_ASM; 1292 pc->ops->setuponblocks = PCSetUpOnBlocks_ASM; 1293 pc->ops->view = PCView_ASM; 1294 pc->ops->applyrichardson = NULL; 1295 1296 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", PCASMSetLocalSubdomains_ASM)); 1297 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", PCASMSetTotalSubdomains_ASM)); 1298 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", PCASMSetOverlap_ASM)); 1299 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", PCASMSetType_ASM)); 1300 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", PCASMGetType_ASM)); 1301 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", PCASMSetLocalType_ASM)); 1302 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", PCASMGetLocalType_ASM)); 1303 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", PCASMSetSortIndices_ASM)); 1304 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", PCASMGetSubKSP_ASM)); 1305 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", PCASMGetSubMatType_ASM)); 1306 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", PCASMSetSubMatType_ASM)); 1307 PetscFunctionReturn(PETSC_SUCCESS); 1308 } 1309 1310 /*@C 1311 PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz 1312 preconditioner, `PCASM`, for any problem on a general grid. 1313 1314 Collective 1315 1316 Input Parameters: 1317 + A - The global matrix operator 1318 - n - the number of local blocks 1319 1320 Output Parameter: 1321 . outis - the array of index sets defining the subdomains 1322 1323 Level: advanced 1324 1325 Note: 1326 This generates nonoverlapping subdomains; the `PCASM` will generate the overlap 1327 from these if you use `PCASMSetLocalSubdomains()` 1328 1329 Fortran Notes: 1330 You must provide the array outis[] already allocated of length n. 1331 1332 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMDestroySubdomains()` 1333 @*/ 1334 PetscErrorCode PCASMCreateSubdomains(Mat A, PetscInt n, IS *outis[]) 1335 { 1336 MatPartitioning mpart; 1337 const char *prefix; 1338 PetscInt i, j, rstart, rend, bs; 1339 PetscBool hasop, isbaij = PETSC_FALSE, foundpart = PETSC_FALSE; 1340 Mat Ad = NULL, adj; 1341 IS ispart, isnumb, *is; 1342 1343 PetscFunctionBegin; 1344 PetscValidHeaderSpecific(A, MAT_CLASSID, 1); 1345 PetscAssertPointer(outis, 3); 1346 PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "number of local blocks must be > 0, n = %" PetscInt_FMT, n); 1347 1348 /* Get prefix, row distribution, and block size */ 1349 PetscCall(MatGetOptionsPrefix(A, &prefix)); 1350 PetscCall(MatGetOwnershipRange(A, &rstart, &rend)); 1351 PetscCall(MatGetBlockSize(A, &bs)); 1352 PetscCheck(rstart / bs * bs == rstart && rend / bs * bs == rend, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "bad row distribution [%" PetscInt_FMT ",%" PetscInt_FMT ") for matrix block size %" PetscInt_FMT, rstart, rend, bs); 1353 1354 /* Get diagonal block from matrix if possible */ 1355 PetscCall(MatHasOperation(A, MATOP_GET_DIAGONAL_BLOCK, &hasop)); 1356 if (hasop) PetscCall(MatGetDiagonalBlock(A, &Ad)); 1357 if (Ad) { 1358 PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQBAIJ, &isbaij)); 1359 if (!isbaij) PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQSBAIJ, &isbaij)); 1360 } 1361 if (Ad && n > 1) { 1362 PetscBool match, done; 1363 /* Try to setup a good matrix partitioning if available */ 1364 PetscCall(MatPartitioningCreate(PETSC_COMM_SELF, &mpart)); 1365 PetscCall(PetscObjectSetOptionsPrefix((PetscObject)mpart, prefix)); 1366 PetscCall(MatPartitioningSetFromOptions(mpart)); 1367 PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGCURRENT, &match)); 1368 if (!match) PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGSQUARE, &match)); 1369 if (!match) { /* assume a "good" partitioner is available */ 1370 PetscInt na; 1371 const PetscInt *ia, *ja; 1372 PetscCall(MatGetRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done)); 1373 if (done) { 1374 /* Build adjacency matrix by hand. Unfortunately a call to 1375 MatConvert(Ad,MATMPIADJ,MAT_INITIAL_MATRIX,&adj) will 1376 remove the block-aij structure and we cannot expect 1377 MatPartitioning to split vertices as we need */ 1378 PetscInt i, j, len, nnz, cnt, *iia = NULL, *jja = NULL; 1379 const PetscInt *row; 1380 nnz = 0; 1381 for (i = 0; i < na; i++) { /* count number of nonzeros */ 1382 len = ia[i + 1] - ia[i]; 1383 row = ja + ia[i]; 1384 for (j = 0; j < len; j++) { 1385 if (row[j] == i) { /* don't count diagonal */ 1386 len--; 1387 break; 1388 } 1389 } 1390 nnz += len; 1391 } 1392 PetscCall(PetscMalloc1(na + 1, &iia)); 1393 PetscCall(PetscMalloc1(nnz, &jja)); 1394 nnz = 0; 1395 iia[0] = 0; 1396 for (i = 0; i < na; i++) { /* fill adjacency */ 1397 cnt = 0; 1398 len = ia[i + 1] - ia[i]; 1399 row = ja + ia[i]; 1400 for (j = 0; j < len; j++) { 1401 if (row[j] != i) { /* if not diagonal */ 1402 jja[nnz + cnt++] = row[j]; 1403 } 1404 } 1405 nnz += cnt; 1406 iia[i + 1] = nnz; 1407 } 1408 /* Partitioning of the adjacency matrix */ 1409 PetscCall(MatCreateMPIAdj(PETSC_COMM_SELF, na, na, iia, jja, NULL, &adj)); 1410 PetscCall(MatPartitioningSetAdjacency(mpart, adj)); 1411 PetscCall(MatPartitioningSetNParts(mpart, n)); 1412 PetscCall(MatPartitioningApply(mpart, &ispart)); 1413 PetscCall(ISPartitioningToNumbering(ispart, &isnumb)); 1414 PetscCall(MatDestroy(&adj)); 1415 foundpart = PETSC_TRUE; 1416 } 1417 PetscCall(MatRestoreRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done)); 1418 } 1419 PetscCall(MatPartitioningDestroy(&mpart)); 1420 } 1421 1422 PetscCall(PetscMalloc1(n, &is)); 1423 *outis = is; 1424 1425 if (!foundpart) { 1426 /* Partitioning by contiguous chunks of rows */ 1427 1428 PetscInt mbs = (rend - rstart) / bs; 1429 PetscInt start = rstart; 1430 for (i = 0; i < n; i++) { 1431 PetscInt count = (mbs / n + ((mbs % n) > i)) * bs; 1432 PetscCall(ISCreateStride(PETSC_COMM_SELF, count, start, 1, &is[i])); 1433 start += count; 1434 } 1435 1436 } else { 1437 /* Partitioning by adjacency of diagonal block */ 1438 1439 const PetscInt *numbering; 1440 PetscInt *count, nidx, *indices, *newidx, start = 0; 1441 /* Get node count in each partition */ 1442 PetscCall(PetscMalloc1(n, &count)); 1443 PetscCall(ISPartitioningCount(ispart, n, count)); 1444 if (isbaij && bs > 1) { /* adjust for the block-aij case */ 1445 for (i = 0; i < n; i++) count[i] *= bs; 1446 } 1447 /* Build indices from node numbering */ 1448 PetscCall(ISGetLocalSize(isnumb, &nidx)); 1449 PetscCall(PetscMalloc1(nidx, &indices)); 1450 for (i = 0; i < nidx; i++) indices[i] = i; /* needs to be initialized */ 1451 PetscCall(ISGetIndices(isnumb, &numbering)); 1452 PetscCall(PetscSortIntWithPermutation(nidx, numbering, indices)); 1453 PetscCall(ISRestoreIndices(isnumb, &numbering)); 1454 if (isbaij && bs > 1) { /* adjust for the block-aij case */ 1455 PetscCall(PetscMalloc1(nidx * bs, &newidx)); 1456 for (i = 0; i < nidx; i++) { 1457 for (j = 0; j < bs; j++) newidx[i * bs + j] = indices[i] * bs + j; 1458 } 1459 PetscCall(PetscFree(indices)); 1460 nidx *= bs; 1461 indices = newidx; 1462 } 1463 /* Shift to get global indices */ 1464 for (i = 0; i < nidx; i++) indices[i] += rstart; 1465 1466 /* Build the index sets for each block */ 1467 for (i = 0; i < n; i++) { 1468 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, count[i], &indices[start], PETSC_COPY_VALUES, &is[i])); 1469 PetscCall(ISSort(is[i])); 1470 start += count[i]; 1471 } 1472 1473 PetscCall(PetscFree(count)); 1474 PetscCall(PetscFree(indices)); 1475 PetscCall(ISDestroy(&isnumb)); 1476 PetscCall(ISDestroy(&ispart)); 1477 } 1478 PetscFunctionReturn(PETSC_SUCCESS); 1479 } 1480 1481 /*@C 1482 PCASMDestroySubdomains - Destroys the index sets created with 1483 `PCASMCreateSubdomains()`. Should be called after setting subdomains with `PCASMSetLocalSubdomains()`. 1484 1485 Collective 1486 1487 Input Parameters: 1488 + n - the number of index sets 1489 . is - the array of index sets 1490 - is_local - the array of local index sets, can be `NULL` 1491 1492 Level: advanced 1493 1494 .seealso: [](ch_ksp), `PCASM`, `PCASMCreateSubdomains()`, `PCASMSetLocalSubdomains()` 1495 @*/ 1496 PetscErrorCode PCASMDestroySubdomains(PetscInt n, IS is[], IS is_local[]) 1497 { 1498 PetscInt i; 1499 1500 PetscFunctionBegin; 1501 if (n <= 0) PetscFunctionReturn(PETSC_SUCCESS); 1502 if (is) { 1503 PetscAssertPointer(is, 2); 1504 for (i = 0; i < n; i++) PetscCall(ISDestroy(&is[i])); 1505 PetscCall(PetscFree(is)); 1506 } 1507 if (is_local) { 1508 PetscAssertPointer(is_local, 3); 1509 for (i = 0; i < n; i++) PetscCall(ISDestroy(&is_local[i])); 1510 PetscCall(PetscFree(is_local)); 1511 } 1512 PetscFunctionReturn(PETSC_SUCCESS); 1513 } 1514 1515 /*@C 1516 PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz 1517 preconditioner, `PCASM`, for a two-dimensional problem on a regular grid. 1518 1519 Not Collective 1520 1521 Input Parameters: 1522 + m - the number of mesh points in the x direction 1523 . n - the number of mesh points in the y direction 1524 . M - the number of subdomains in the x direction 1525 . N - the number of subdomains in the y direction 1526 . dof - degrees of freedom per node 1527 - overlap - overlap in mesh lines 1528 1529 Output Parameters: 1530 + Nsub - the number of subdomains created 1531 . is - array of index sets defining overlapping (if overlap > 0) subdomains 1532 - is_local - array of index sets defining non-overlapping subdomains 1533 1534 Level: advanced 1535 1536 Note: 1537 Presently `PCAMSCreateSubdomains2d()` is valid only for sequential 1538 preconditioners. More general related routines are 1539 `PCASMSetTotalSubdomains()` and `PCASMSetLocalSubdomains()`. 1540 1541 Fortran Notes: 1542 The `IS` must be declared as an array of length long enough to hold `Nsub` entries 1543 1544 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`, 1545 `PCASMSetOverlap()` 1546 @*/ 1547 PetscErrorCode PCASMCreateSubdomains2D(PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt dof, PetscInt overlap, PetscInt *Nsub, IS **is, IS **is_local) 1548 { 1549 PetscInt i, j, height, width, ystart, xstart, yleft, yright, xleft, xright, loc_outer; 1550 PetscInt nidx, *idx, loc, ii, jj, count; 1551 1552 PetscFunctionBegin; 1553 PetscCheck(dof == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "dof must be 1"); 1554 1555 *Nsub = N * M; 1556 PetscCall(PetscMalloc1(*Nsub, is)); 1557 PetscCall(PetscMalloc1(*Nsub, is_local)); 1558 ystart = 0; 1559 loc_outer = 0; 1560 for (i = 0; i < N; i++) { 1561 height = n / N + ((n % N) > i); /* height of subdomain */ 1562 PetscCheck(height >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many N subdomains for mesh dimension n"); 1563 yleft = ystart - overlap; 1564 if (yleft < 0) yleft = 0; 1565 yright = ystart + height + overlap; 1566 if (yright > n) yright = n; 1567 xstart = 0; 1568 for (j = 0; j < M; j++) { 1569 width = m / M + ((m % M) > j); /* width of subdomain */ 1570 PetscCheck(width >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many M subdomains for mesh dimension m"); 1571 xleft = xstart - overlap; 1572 if (xleft < 0) xleft = 0; 1573 xright = xstart + width + overlap; 1574 if (xright > m) xright = m; 1575 nidx = (xright - xleft) * (yright - yleft); 1576 PetscCall(PetscMalloc1(nidx, &idx)); 1577 loc = 0; 1578 for (ii = yleft; ii < yright; ii++) { 1579 count = m * ii + xleft; 1580 for (jj = xleft; jj < xright; jj++) idx[loc++] = count++; 1581 } 1582 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nidx, idx, PETSC_COPY_VALUES, (*is) + loc_outer)); 1583 if (overlap == 0) { 1584 PetscCall(PetscObjectReference((PetscObject)(*is)[loc_outer])); 1585 1586 (*is_local)[loc_outer] = (*is)[loc_outer]; 1587 } else { 1588 for (loc = 0, ii = ystart; ii < ystart + height; ii++) { 1589 for (jj = xstart; jj < xstart + width; jj++) idx[loc++] = m * ii + jj; 1590 } 1591 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, loc, idx, PETSC_COPY_VALUES, *is_local + loc_outer)); 1592 } 1593 PetscCall(PetscFree(idx)); 1594 xstart += width; 1595 loc_outer++; 1596 } 1597 ystart += height; 1598 } 1599 for (i = 0; i < *Nsub; i++) PetscCall(ISSort((*is)[i])); 1600 PetscFunctionReturn(PETSC_SUCCESS); 1601 } 1602 1603 /*@C 1604 PCASMGetLocalSubdomains - Gets the local subdomains (for this processor 1605 only) for the additive Schwarz preconditioner, `PCASM`. 1606 1607 Not Collective 1608 1609 Input Parameter: 1610 . pc - the preconditioner context 1611 1612 Output Parameters: 1613 + n - if requested, the number of subdomains for this processor (default value = 1) 1614 . is - if requested, the index sets that define the subdomains for this processor 1615 - is_local - if requested, the index sets that define the local part of the subdomains for this processor (can be `NULL`) 1616 1617 Level: advanced 1618 1619 Note: 1620 The `IS` numbering is in the parallel, global numbering of the vector. 1621 1622 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 1623 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubmatrices()` 1624 @*/ 1625 PetscErrorCode PCASMGetLocalSubdomains(PC pc, PetscInt *n, IS *is[], IS *is_local[]) 1626 { 1627 PC_ASM *osm = (PC_ASM *)pc->data; 1628 PetscBool match; 1629 1630 PetscFunctionBegin; 1631 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1632 if (n) PetscAssertPointer(n, 2); 1633 if (is) PetscAssertPointer(is, 3); 1634 if (is_local) PetscAssertPointer(is_local, 4); 1635 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1636 PetscCheck(match, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "PC is not a PCASM"); 1637 if (n) *n = osm->n_local_true; 1638 if (is) *is = osm->is; 1639 if (is_local) *is_local = osm->is_local; 1640 PetscFunctionReturn(PETSC_SUCCESS); 1641 } 1642 1643 /*@C 1644 PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor 1645 only) for the additive Schwarz preconditioner, `PCASM`. 1646 1647 Not Collective 1648 1649 Input Parameter: 1650 . pc - the preconditioner context 1651 1652 Output Parameters: 1653 + n - if requested, the number of matrices for this processor (default value = 1) 1654 - mat - if requested, the matrices 1655 1656 Level: advanced 1657 1658 Notes: 1659 Call after `PCSetUp()` (or `KSPSetUp()`) but before `PCApply()` and before `PCSetUpOnBlocks()`) 1660 1661 Usually one would use `PCSetModifySubMatrices()` to change the submatrices in building the preconditioner. 1662 1663 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 1664 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`, `PCSetModifySubMatrices()` 1665 @*/ 1666 PetscErrorCode PCASMGetLocalSubmatrices(PC pc, PetscInt *n, Mat *mat[]) 1667 { 1668 PC_ASM *osm; 1669 PetscBool match; 1670 1671 PetscFunctionBegin; 1672 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1673 if (n) PetscAssertPointer(n, 2); 1674 if (mat) PetscAssertPointer(mat, 3); 1675 PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call after KSPSetUp() or PCSetUp()."); 1676 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1677 if (!match) { 1678 if (n) *n = 0; 1679 if (mat) *mat = NULL; 1680 } else { 1681 osm = (PC_ASM *)pc->data; 1682 if (n) *n = osm->n_local_true; 1683 if (mat) *mat = osm->pmat; 1684 } 1685 PetscFunctionReturn(PETSC_SUCCESS); 1686 } 1687 1688 /*@ 1689 PCASMSetDMSubdomains - Indicates whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible. 1690 1691 Logically Collective 1692 1693 Input Parameters: 1694 + pc - the preconditioner 1695 - flg - boolean indicating whether to use subdomains defined by the `DM` 1696 1697 Options Database Key: 1698 . -pc_asm_dm_subdomains <bool> - use subdomains defined by the `DM` 1699 1700 Level: intermediate 1701 1702 Note: 1703 `PCASMSetTotalSubdomains()` and `PCASMSetOverlap()` take precedence over `PCASMSetDMSubdomains()`, 1704 so setting either of the first two effectively turns the latter off. 1705 1706 .seealso: [](ch_ksp), `PCASM`, `PCASMGetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()` 1707 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()` 1708 @*/ 1709 PetscErrorCode PCASMSetDMSubdomains(PC pc, PetscBool flg) 1710 { 1711 PC_ASM *osm = (PC_ASM *)pc->data; 1712 PetscBool match; 1713 1714 PetscFunctionBegin; 1715 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1716 PetscValidLogicalCollectiveBool(pc, flg, 2); 1717 PetscCheck(!pc->setupcalled, ((PetscObject)pc)->comm, PETSC_ERR_ARG_WRONGSTATE, "Not for a setup PC."); 1718 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1719 if (match) osm->dm_subdomains = flg; 1720 PetscFunctionReturn(PETSC_SUCCESS); 1721 } 1722 1723 /*@ 1724 PCASMGetDMSubdomains - Returns flag indicating whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible. 1725 1726 Not Collective 1727 1728 Input Parameter: 1729 . pc - the preconditioner 1730 1731 Output Parameter: 1732 . flg - boolean indicating whether to use subdomains defined by the `DM` 1733 1734 Level: intermediate 1735 1736 .seealso: [](ch_ksp), `PCASM`, `PCASMSetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()` 1737 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()` 1738 @*/ 1739 PetscErrorCode PCASMGetDMSubdomains(PC pc, PetscBool *flg) 1740 { 1741 PC_ASM *osm = (PC_ASM *)pc->data; 1742 PetscBool match; 1743 1744 PetscFunctionBegin; 1745 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1746 PetscAssertPointer(flg, 2); 1747 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1748 if (match) *flg = osm->dm_subdomains; 1749 else *flg = PETSC_FALSE; 1750 PetscFunctionReturn(PETSC_SUCCESS); 1751 } 1752 1753 /*@C 1754 PCASMGetSubMatType - Gets the matrix type used for `PCASM` subsolves, as a string. 1755 1756 Not Collective 1757 1758 Input Parameter: 1759 . pc - the `PC` 1760 1761 Output Parameter: 1762 . sub_mat_type - name of matrix type 1763 1764 Level: advanced 1765 1766 .seealso: [](ch_ksp), `PCASM`, `PCASMSetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat` 1767 @*/ 1768 PetscErrorCode PCASMGetSubMatType(PC pc, MatType *sub_mat_type) 1769 { 1770 PetscFunctionBegin; 1771 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1772 PetscTryMethod(pc, "PCASMGetSubMatType_C", (PC, MatType *), (pc, sub_mat_type)); 1773 PetscFunctionReturn(PETSC_SUCCESS); 1774 } 1775 1776 /*@C 1777 PCASMSetSubMatType - Set the type of matrix used for `PCASM` subsolves 1778 1779 Collective 1780 1781 Input Parameters: 1782 + pc - the `PC` object 1783 - sub_mat_type - the `MatType` 1784 1785 Options Database Key: 1786 . -pc_asm_sub_mat_type <sub_mat_type> - Sets the matrix type used for subsolves, for example, seqaijviennacl. 1787 If you specify a base name like aijviennacl, the corresponding sequential type is assumed. 1788 1789 Note: 1790 See `MatType` for available types 1791 1792 Level: advanced 1793 1794 .seealso: [](ch_ksp), `PCASM`, `PCASMGetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat` 1795 @*/ 1796 PetscErrorCode PCASMSetSubMatType(PC pc, MatType sub_mat_type) 1797 { 1798 PetscFunctionBegin; 1799 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1800 PetscTryMethod(pc, "PCASMSetSubMatType_C", (PC, MatType), (pc, sub_mat_type)); 1801 PetscFunctionReturn(PETSC_SUCCESS); 1802 } 1803