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(sviewer)); 47 PetscCall(KSPView(osm->ksp[0], sviewer)); 48 PetscCall(PetscViewerASCIIPopTab(sviewer)); 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", 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(PetscViewerASCIIPrintf(sviewer, "[%d] local block number %" PetscInt_FMT ", size = %" PetscInt_FMT "\n", rank, i, bsz)); 63 PetscCall(KSPView(osm->ksp[i], sviewer)); 64 PetscCall(PetscViewerASCIIPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n")); 65 } 66 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 67 PetscCall(PetscViewerASCIIPopTab(viewer)); 68 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 69 } 70 } else if (isstring) { 71 PetscCall(PetscViewerStringSPrintf(viewer, " blocks=%" PetscInt_FMT ", overlap=%" PetscInt_FMT ", type=%s", osm->n, osm->overlap, PCASMTypes[osm->type])); 72 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 73 if (osm->ksp) PetscCall(KSPView(osm->ksp[0], sviewer)); 74 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 75 } 76 PetscFunctionReturn(PETSC_SUCCESS); 77 } 78 79 static PetscErrorCode PCASMPrintSubdomains(PC pc) 80 { 81 PC_ASM *osm = (PC_ASM *)pc->data; 82 const char *prefix; 83 char fname[PETSC_MAX_PATH_LEN + 1]; 84 PetscViewer viewer, sviewer; 85 char *s; 86 PetscInt i, j, nidx; 87 const PetscInt *idx; 88 PetscMPIInt rank, size; 89 90 PetscFunctionBegin; 91 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 92 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 93 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 94 PetscCall(PetscOptionsGetString(NULL, prefix, "-pc_asm_print_subdomains", fname, sizeof(fname), NULL)); 95 if (fname[0] == 0) PetscCall(PetscStrncpy(fname, "stdout", sizeof(fname))); 96 PetscCall(PetscViewerASCIIOpen(PetscObjectComm((PetscObject)pc), fname, &viewer)); 97 for (i = 0; i < osm->n_local; i++) { 98 if (i < osm->n_local_true) { 99 PetscCall(ISGetLocalSize(osm->is[i], &nidx)); 100 PetscCall(ISGetIndices(osm->is[i], &idx)); 101 /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/ 102 #define len 16 * (nidx + 1) + 512 103 PetscCall(PetscMalloc1(len, &s)); 104 PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer)); 105 #undef len 106 PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " with overlap:\n", rank, size, i)); 107 for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j])); 108 PetscCall(ISRestoreIndices(osm->is[i], &idx)); 109 PetscCall(PetscViewerStringSPrintf(sviewer, "\n")); 110 PetscCall(PetscViewerDestroy(&sviewer)); 111 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 112 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s)); 113 PetscCall(PetscViewerFlush(viewer)); 114 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 115 PetscCall(PetscFree(s)); 116 if (osm->is_local) { 117 /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/ 118 #define len 16 * (nidx + 1) + 512 119 PetscCall(PetscMalloc1(len, &s)); 120 PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer)); 121 #undef len 122 PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " without overlap:\n", rank, size, i)); 123 PetscCall(ISGetLocalSize(osm->is_local[i], &nidx)); 124 PetscCall(ISGetIndices(osm->is_local[i], &idx)); 125 for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j])); 126 PetscCall(ISRestoreIndices(osm->is_local[i], &idx)); 127 PetscCall(PetscViewerStringSPrintf(sviewer, "\n")); 128 PetscCall(PetscViewerDestroy(&sviewer)); 129 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 130 PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s)); 131 PetscCall(PetscViewerFlush(viewer)); 132 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 133 PetscCall(PetscFree(s)); 134 } 135 } else { 136 /* Participate in collective viewer calls. */ 137 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 138 PetscCall(PetscViewerFlush(viewer)); 139 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 140 /* Assume either all ranks have is_local or none do. */ 141 if (osm->is_local) { 142 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 143 PetscCall(PetscViewerFlush(viewer)); 144 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 145 } 146 } 147 } 148 PetscCall(PetscViewerFlush(viewer)); 149 PetscCall(PetscViewerDestroy(&viewer)); 150 PetscFunctionReturn(PETSC_SUCCESS); 151 } 152 153 static PetscErrorCode PCSetUp_ASM(PC pc) 154 { 155 PC_ASM *osm = (PC_ASM *)pc->data; 156 PetscBool flg; 157 PetscInt i, m, m_local; 158 MatReuse scall = MAT_REUSE_MATRIX; 159 IS isl; 160 KSP ksp; 161 PC subpc; 162 const char *prefix, *pprefix; 163 Vec vec; 164 DM *domain_dm = NULL; 165 MatNullSpace *nullsp = 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 PetscCallMPI(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(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp)); 281 PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->pmat)); 282 scall = MAT_INITIAL_MATRIX; 283 } 284 } 285 286 /* Destroy previous submatrices of a different type than pc->pmat since MAT_REUSE_MATRIX won't work in that case */ 287 if (scall == MAT_REUSE_MATRIX && osm->sub_mat_type) { 288 PetscCall(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp)); 289 if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat)); 290 scall = MAT_INITIAL_MATRIX; 291 } 292 293 /* 294 Extract out the submatrices 295 */ 296 PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, osm->is, scall, &osm->pmat)); 297 if (scall == MAT_INITIAL_MATRIX) { 298 PetscCall(PetscObjectGetOptionsPrefix((PetscObject)pc->pmat, &pprefix)); 299 for (i = 0; i < osm->n_local_true; i++) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i], pprefix)); 300 if (nullsp) PetscCall(MatRestoreNullSpaces(osm->n_local_true, osm->pmat, &nullsp)); 301 } 302 303 /* Convert the types of the submatrices (if needbe) */ 304 if (osm->sub_mat_type) { 305 for (i = 0; i < osm->n_local_true; i++) PetscCall(MatConvert(osm->pmat[i], osm->sub_mat_type, MAT_INPLACE_MATRIX, &osm->pmat[i])); 306 } 307 308 if (!pc->setupcalled) { 309 VecType vtype; 310 311 /* Create the local work vectors (from the local matrices) and scatter contexts */ 312 PetscCall(MatCreateVecs(pc->pmat, &vec, NULL)); 313 314 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"); 315 if (osm->is_local && osm->type != PC_ASM_BASIC && osm->loctype == PC_COMPOSITE_ADDITIVE) PetscCall(PetscMalloc1(osm->n_local_true, &osm->lprolongation)); 316 PetscCall(PetscMalloc1(osm->n_local_true, &osm->lrestriction)); 317 PetscCall(PetscMalloc1(osm->n_local_true, &osm->x)); 318 PetscCall(PetscMalloc1(osm->n_local_true, &osm->y)); 319 320 PetscCall(ISGetLocalSize(osm->lis, &m)); 321 PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl)); 322 PetscCall(MatGetVecType(osm->pmat[0], &vtype)); 323 PetscCall(VecCreate(PETSC_COMM_SELF, &osm->lx)); 324 PetscCall(VecSetSizes(osm->lx, m, m)); 325 PetscCall(VecSetType(osm->lx, vtype)); 326 PetscCall(VecDuplicate(osm->lx, &osm->ly)); 327 PetscCall(VecScatterCreate(vec, osm->lis, osm->lx, isl, &osm->restriction)); 328 PetscCall(ISDestroy(&isl)); 329 330 for (i = 0; i < osm->n_local_true; ++i) { 331 ISLocalToGlobalMapping ltog; 332 IS isll; 333 const PetscInt *idx_is; 334 PetscInt *idx_lis, nout; 335 336 PetscCall(ISGetLocalSize(osm->is[i], &m)); 337 PetscCall(MatCreateVecs(osm->pmat[i], &osm->x[i], NULL)); 338 PetscCall(VecDuplicate(osm->x[i], &osm->y[i])); 339 340 /* generate a scatter from ly to y[i] picking all the overlapping is[i] entries */ 341 PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, <og)); 342 PetscCall(ISGetLocalSize(osm->is[i], &m)); 343 PetscCall(ISGetIndices(osm->is[i], &idx_is)); 344 PetscCall(PetscMalloc1(m, &idx_lis)); 345 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m, idx_is, &nout, idx_lis)); 346 PetscCheck(nout == m, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is not a subset of lis"); 347 PetscCall(ISRestoreIndices(osm->is[i], &idx_is)); 348 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, idx_lis, PETSC_OWN_POINTER, &isll)); 349 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 350 PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl)); 351 PetscCall(VecScatterCreate(osm->ly, isll, osm->y[i], isl, &osm->lrestriction[i])); 352 PetscCall(ISDestroy(&isll)); 353 PetscCall(ISDestroy(&isl)); 354 if (osm->lprolongation) { /* generate a scatter from y[i] to ly picking only the non-overlapping is_local[i] entries */ 355 ISLocalToGlobalMapping ltog; 356 IS isll, isll_local; 357 const PetscInt *idx_local; 358 PetscInt *idx1, *idx2, nout; 359 360 PetscCall(ISGetLocalSize(osm->is_local[i], &m_local)); 361 PetscCall(ISGetIndices(osm->is_local[i], &idx_local)); 362 363 PetscCall(ISLocalToGlobalMappingCreateIS(osm->is[i], <og)); 364 PetscCall(PetscMalloc1(m_local, &idx1)); 365 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx1)); 366 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 367 PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of is"); 368 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx1, PETSC_OWN_POINTER, &isll)); 369 370 PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, <og)); 371 PetscCall(PetscMalloc1(m_local, &idx2)); 372 PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx2)); 373 PetscCall(ISLocalToGlobalMappingDestroy(<og)); 374 PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of lis"); 375 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx2, PETSC_OWN_POINTER, &isll_local)); 376 377 PetscCall(ISRestoreIndices(osm->is_local[i], &idx_local)); 378 PetscCall(VecScatterCreate(osm->y[i], isll, osm->ly, isll_local, &osm->lprolongation[i])); 379 380 PetscCall(ISDestroy(&isll)); 381 PetscCall(ISDestroy(&isll_local)); 382 } 383 } 384 PetscCall(VecDestroy(&vec)); 385 } 386 387 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) { 388 IS *cis; 389 PetscInt c; 390 391 PetscCall(PetscMalloc1(osm->n_local_true, &cis)); 392 for (c = 0; c < osm->n_local_true; ++c) cis[c] = osm->lis; 393 PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, cis, scall, &osm->lmats)); 394 PetscCall(PetscFree(cis)); 395 } 396 397 /* Return control to the user so that the submatrices can be modified (e.g., to apply 398 different boundary conditions for the submatrices than for the global problem) */ 399 PetscCall(PCModifySubMatrices(pc, osm->n_local_true, osm->is, osm->is, osm->pmat, pc->modifysubmatricesP)); 400 401 /* 402 Loop over subdomains putting them into local ksp 403 */ 404 PetscCall(KSPGetOptionsPrefix(osm->ksp[0], &prefix)); 405 for (i = 0; i < osm->n_local_true; i++) { 406 PetscCall(KSPSetOperators(osm->ksp[i], osm->pmat[i], osm->pmat[i])); 407 PetscCall(MatSetOptionsPrefix(osm->pmat[i], prefix)); 408 if (!pc->setupcalled) PetscCall(KSPSetFromOptions(osm->ksp[i])); 409 } 410 PetscFunctionReturn(PETSC_SUCCESS); 411 } 412 413 static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc) 414 { 415 PC_ASM *osm = (PC_ASM *)pc->data; 416 PetscInt i; 417 KSPConvergedReason reason; 418 419 PetscFunctionBegin; 420 for (i = 0; i < osm->n_local_true; i++) { 421 PetscCall(KSPSetUp(osm->ksp[i])); 422 PetscCall(KSPGetConvergedReason(osm->ksp[i], &reason)); 423 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 424 } 425 PetscFunctionReturn(PETSC_SUCCESS); 426 } 427 428 static PetscErrorCode PCApply_ASM(PC pc, Vec x, Vec y) 429 { 430 PC_ASM *osm = (PC_ASM *)pc->data; 431 PetscInt i, n_local_true = osm->n_local_true; 432 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 433 434 PetscFunctionBegin; 435 /* 436 support for limiting the restriction or interpolation to only local 437 subdomain values (leaving the other values 0). 438 */ 439 if (!(osm->type & PC_ASM_RESTRICT)) { 440 forward = SCATTER_FORWARD_LOCAL; 441 /* have to zero the work RHS since scatter may leave some slots empty */ 442 PetscCall(VecSet(osm->lx, 0.0)); 443 } 444 if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL; 445 446 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]); 447 /* zero the global and the local solutions */ 448 PetscCall(VecSet(y, 0.0)); 449 PetscCall(VecSet(osm->ly, 0.0)); 450 451 /* copy the global RHS to local RHS including the ghost nodes */ 452 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 453 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 454 455 /* restrict local RHS to the overlapping 0-block RHS */ 456 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 457 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 458 459 /* do the local solves */ 460 for (i = 0; i < n_local_true; ++i) { 461 /* solve the overlapping i-block */ 462 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 463 PetscCall(KSPSolve(osm->ksp[i], osm->x[i], osm->y[i])); 464 PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i])); 465 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 466 467 if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping i-block solution to the local solution (only for restrictive additive) */ 468 PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 469 PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 470 } else { /* interpolate the overlapping i-block solution to the local solution */ 471 PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 472 PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 473 } 474 475 if (i < n_local_true - 1) { 476 /* restrict local RHS to the overlapping (i+1)-block RHS */ 477 PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 478 PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 479 480 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) { 481 /* update the overlapping (i+1)-block RHS using the current local solution */ 482 PetscCall(MatMult(osm->lmats[i + 1], osm->ly, osm->y[i + 1])); 483 PetscCall(VecAXPBY(osm->x[i + 1], -1., 1., osm->y[i + 1])); 484 } 485 } 486 } 487 /* add the local solution to the global solution including the ghost nodes */ 488 PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 489 PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 490 PetscFunctionReturn(PETSC_SUCCESS); 491 } 492 493 static PetscErrorCode PCMatApply_ASM(PC pc, Mat X, Mat Y) 494 { 495 PC_ASM *osm = (PC_ASM *)pc->data; 496 Mat Z, W; 497 Vec x; 498 PetscInt i, m, N; 499 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 500 501 PetscFunctionBegin; 502 PetscCheck(osm->n_local_true <= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Not yet implemented"); 503 /* 504 support for limiting the restriction or interpolation to only local 505 subdomain values (leaving the other values 0). 506 */ 507 if (!(osm->type & PC_ASM_RESTRICT)) { 508 forward = SCATTER_FORWARD_LOCAL; 509 /* have to zero the work RHS since scatter may leave some slots empty */ 510 PetscCall(VecSet(osm->lx, 0.0)); 511 } 512 if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL; 513 PetscCall(VecGetLocalSize(osm->x[0], &m)); 514 PetscCall(MatGetSize(X, NULL, &N)); 515 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &Z)); 516 517 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]); 518 /* zero the global and the local solutions */ 519 PetscCall(MatZeroEntries(Y)); 520 PetscCall(VecSet(osm->ly, 0.0)); 521 522 for (i = 0; i < N; ++i) { 523 PetscCall(MatDenseGetColumnVecRead(X, i, &x)); 524 /* copy the global RHS to local RHS including the ghost nodes */ 525 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 526 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 527 PetscCall(MatDenseRestoreColumnVecRead(X, i, &x)); 528 529 PetscCall(MatDenseGetColumnVecWrite(Z, i, &x)); 530 /* restrict local RHS to the overlapping 0-block RHS */ 531 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward)); 532 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward)); 533 PetscCall(MatDenseRestoreColumnVecWrite(Z, i, &x)); 534 } 535 PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &W)); 536 /* solve the overlapping 0-block */ 537 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0)); 538 PetscCall(KSPMatSolve(osm->ksp[0], Z, W)); 539 PetscCall(KSPCheckSolve(osm->ksp[0], pc, NULL)); 540 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0)); 541 PetscCall(MatDestroy(&Z)); 542 543 for (i = 0; i < N; ++i) { 544 PetscCall(VecSet(osm->ly, 0.0)); 545 PetscCall(MatDenseGetColumnVecRead(W, i, &x)); 546 if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping 0-block solution to the local solution (only for restrictive additive) */ 547 PetscCall(VecScatterBegin(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward)); 548 PetscCall(VecScatterEnd(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward)); 549 } else { /* interpolate the overlapping 0-block solution to the local solution */ 550 PetscCall(VecScatterBegin(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse)); 551 PetscCall(VecScatterEnd(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse)); 552 } 553 PetscCall(MatDenseRestoreColumnVecRead(W, i, &x)); 554 555 PetscCall(MatDenseGetColumnVecWrite(Y, i, &x)); 556 /* add the local solution to the global solution including the ghost nodes */ 557 PetscCall(VecScatterBegin(osm->restriction, osm->ly, x, ADD_VALUES, reverse)); 558 PetscCall(VecScatterEnd(osm->restriction, osm->ly, x, ADD_VALUES, reverse)); 559 PetscCall(MatDenseRestoreColumnVecWrite(Y, i, &x)); 560 } 561 PetscCall(MatDestroy(&W)); 562 PetscFunctionReturn(PETSC_SUCCESS); 563 } 564 565 static PetscErrorCode PCApplyTranspose_ASM(PC pc, Vec x, Vec y) 566 { 567 PC_ASM *osm = (PC_ASM *)pc->data; 568 PetscInt i, n_local_true = osm->n_local_true; 569 ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE; 570 571 PetscFunctionBegin; 572 /* 573 Support for limiting the restriction or interpolation to only local 574 subdomain values (leaving the other values 0). 575 576 Note: these are reversed from the PCApply_ASM() because we are applying the 577 transpose of the three terms 578 */ 579 580 if (!(osm->type & PC_ASM_INTERPOLATE)) { 581 forward = SCATTER_FORWARD_LOCAL; 582 /* have to zero the work RHS since scatter may leave some slots empty */ 583 PetscCall(VecSet(osm->lx, 0.0)); 584 } 585 if (!(osm->type & PC_ASM_RESTRICT)) reverse = SCATTER_REVERSE_LOCAL; 586 587 /* zero the global and the local solutions */ 588 PetscCall(VecSet(y, 0.0)); 589 PetscCall(VecSet(osm->ly, 0.0)); 590 591 /* Copy the global RHS to local RHS including the ghost nodes */ 592 PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 593 PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward)); 594 595 /* Restrict local RHS to the overlapping 0-block RHS */ 596 PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 597 PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward)); 598 599 /* do the local solves */ 600 for (i = 0; i < n_local_true; ++i) { 601 /* solve the overlapping i-block */ 602 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 603 PetscCall(KSPSolveTranspose(osm->ksp[i], osm->x[i], osm->y[i])); 604 PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i])); 605 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0)); 606 607 if (osm->lprolongation && osm->type != PC_ASM_RESTRICT) { /* interpolate the non-overlapping i-block solution to the local solution */ 608 PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 609 PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward)); 610 } else { /* interpolate the overlapping i-block solution to the local solution */ 611 PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 612 PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse)); 613 } 614 615 if (i < n_local_true - 1) { 616 /* Restrict local RHS to the overlapping (i+1)-block RHS */ 617 PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 618 PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward)); 619 } 620 } 621 /* Add the local solution to the global solution including the ghost nodes */ 622 PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 623 PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse)); 624 PetscFunctionReturn(PETSC_SUCCESS); 625 } 626 627 static PetscErrorCode PCReset_ASM(PC pc) 628 { 629 PC_ASM *osm = (PC_ASM *)pc->data; 630 PetscInt i; 631 632 PetscFunctionBegin; 633 if (osm->ksp) { 634 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPReset(osm->ksp[i])); 635 } 636 if (osm->pmat) { 637 if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat)); 638 } 639 if (osm->lrestriction) { 640 PetscCall(VecScatterDestroy(&osm->restriction)); 641 for (i = 0; i < osm->n_local_true; i++) { 642 PetscCall(VecScatterDestroy(&osm->lrestriction[i])); 643 if (osm->lprolongation) PetscCall(VecScatterDestroy(&osm->lprolongation[i])); 644 PetscCall(VecDestroy(&osm->x[i])); 645 PetscCall(VecDestroy(&osm->y[i])); 646 } 647 PetscCall(PetscFree(osm->lrestriction)); 648 if (osm->lprolongation) PetscCall(PetscFree(osm->lprolongation)); 649 PetscCall(PetscFree(osm->x)); 650 PetscCall(PetscFree(osm->y)); 651 } 652 PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local)); 653 PetscCall(ISDestroy(&osm->lis)); 654 PetscCall(VecDestroy(&osm->lx)); 655 PetscCall(VecDestroy(&osm->ly)); 656 if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->lmats)); 657 658 PetscCall(PetscFree(osm->sub_mat_type)); 659 660 osm->is = NULL; 661 osm->is_local = NULL; 662 PetscFunctionReturn(PETSC_SUCCESS); 663 } 664 665 static PetscErrorCode PCDestroy_ASM(PC pc) 666 { 667 PC_ASM *osm = (PC_ASM *)pc->data; 668 PetscInt i; 669 670 PetscFunctionBegin; 671 PetscCall(PCReset_ASM(pc)); 672 if (osm->ksp) { 673 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i])); 674 PetscCall(PetscFree(osm->ksp)); 675 } 676 PetscCall(PetscFree(pc->data)); 677 678 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", NULL)); 679 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", NULL)); 680 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", NULL)); 681 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", NULL)); 682 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", NULL)); 683 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", NULL)); 684 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", NULL)); 685 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", NULL)); 686 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", NULL)); 687 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", NULL)); 688 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", NULL)); 689 PetscFunctionReturn(PETSC_SUCCESS); 690 } 691 692 static PetscErrorCode PCSetFromOptions_ASM(PC pc, PetscOptionItems PetscOptionsObject) 693 { 694 PC_ASM *osm = (PC_ASM *)pc->data; 695 PetscInt blocks, ovl; 696 PetscBool flg; 697 PCASMType asmtype; 698 PCCompositeType loctype; 699 char sub_mat_type[256]; 700 701 PetscFunctionBegin; 702 PetscOptionsHeadBegin(PetscOptionsObject, "Additive Schwarz options"); 703 PetscCall(PetscOptionsBool("-pc_asm_dm_subdomains", "Use DMCreateDomainDecomposition() to define subdomains", "PCASMSetDMSubdomains", osm->dm_subdomains, &osm->dm_subdomains, &flg)); 704 PetscCall(PetscOptionsInt("-pc_asm_blocks", "Number of subdomains", "PCASMSetTotalSubdomains", osm->n, &blocks, &flg)); 705 if (flg) { 706 PetscCall(PCASMSetTotalSubdomains(pc, blocks, NULL, NULL)); 707 osm->dm_subdomains = PETSC_FALSE; 708 } 709 PetscCall(PetscOptionsInt("-pc_asm_local_blocks", "Number of local subdomains", "PCASMSetLocalSubdomains", osm->n_local_true, &blocks, &flg)); 710 if (flg) { 711 PetscCall(PCASMSetLocalSubdomains(pc, blocks, NULL, NULL)); 712 osm->dm_subdomains = PETSC_FALSE; 713 } 714 PetscCall(PetscOptionsInt("-pc_asm_overlap", "Number of grid points overlap", "PCASMSetOverlap", osm->overlap, &ovl, &flg)); 715 if (flg) { 716 PetscCall(PCASMSetOverlap(pc, ovl)); 717 osm->dm_subdomains = PETSC_FALSE; 718 } 719 flg = PETSC_FALSE; 720 PetscCall(PetscOptionsEnum("-pc_asm_type", "Type of restriction/extension", "PCASMSetType", PCASMTypes, (PetscEnum)osm->type, (PetscEnum *)&asmtype, &flg)); 721 if (flg) PetscCall(PCASMSetType(pc, asmtype)); 722 flg = PETSC_FALSE; 723 PetscCall(PetscOptionsEnum("-pc_asm_local_type", "Type of local solver composition", "PCASMSetLocalType", PCCompositeTypes, (PetscEnum)osm->loctype, (PetscEnum *)&loctype, &flg)); 724 if (flg) PetscCall(PCASMSetLocalType(pc, loctype)); 725 PetscCall(PetscOptionsFList("-pc_asm_sub_mat_type", "Subsolve Matrix Type", "PCASMSetSubMatType", MatList, NULL, sub_mat_type, 256, &flg)); 726 if (flg) PetscCall(PCASMSetSubMatType(pc, sub_mat_type)); 727 PetscOptionsHeadEnd(); 728 PetscFunctionReturn(PETSC_SUCCESS); 729 } 730 731 static PetscErrorCode PCASMSetLocalSubdomains_ASM(PC pc, PetscInt n, IS is[], IS is_local[]) 732 { 733 PC_ASM *osm = (PC_ASM *)pc->data; 734 PetscInt i; 735 736 PetscFunctionBegin; 737 PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Each process must have 1 or more blocks, n = %" PetscInt_FMT, n); 738 PetscCheck(!pc->setupcalled || (n == osm->n_local_true && !is), PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetLocalSubdomains() should be called before calling PCSetUp()."); 739 740 if (!pc->setupcalled) { 741 if (is) { 742 for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is[i])); 743 } 744 if (is_local) { 745 for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is_local[i])); 746 } 747 PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local)); 748 749 if (osm->ksp && osm->n_local_true != n) { 750 for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i])); 751 PetscCall(PetscFree(osm->ksp)); 752 } 753 754 osm->n_local_true = n; 755 osm->is = NULL; 756 osm->is_local = NULL; 757 if (is) { 758 PetscCall(PetscMalloc1(n, &osm->is)); 759 for (i = 0; i < n; i++) osm->is[i] = is[i]; 760 /* Flag indicating that the user has set overlapping subdomains so PCASM should not increase their size. */ 761 osm->overlap = -1; 762 } 763 if (is_local) { 764 PetscCall(PetscMalloc1(n, &osm->is_local)); 765 for (i = 0; i < n; i++) osm->is_local[i] = is_local[i]; 766 if (!is) { 767 PetscCall(PetscMalloc1(osm->n_local_true, &osm->is)); 768 for (i = 0; i < osm->n_local_true; i++) { 769 if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */ 770 PetscCall(ISDuplicate(osm->is_local[i], &osm->is[i])); 771 PetscCall(ISCopy(osm->is_local[i], osm->is[i])); 772 } else { 773 PetscCall(PetscObjectReference((PetscObject)osm->is_local[i])); 774 osm->is[i] = osm->is_local[i]; 775 } 776 } 777 } 778 } 779 } 780 PetscFunctionReturn(PETSC_SUCCESS); 781 } 782 783 static PetscErrorCode PCASMSetTotalSubdomains_ASM(PC pc, PetscInt N, IS *is, IS *is_local) 784 { 785 PC_ASM *osm = (PC_ASM *)pc->data; 786 PetscMPIInt rank, size; 787 PetscInt n; 788 789 PetscFunctionBegin; 790 PetscCheck(N >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Number of total blocks must be > 0, N = %" PetscInt_FMT, N); 791 PetscCheck(!is && !is_local, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Use PCASMSetLocalSubdomains() to set specific index sets, they cannot be set globally yet."); 792 793 /* 794 Split the subdomains equally among all processors 795 */ 796 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 797 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 798 n = N / size + ((N % size) > rank); 799 PetscCheck(n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Process %d must have at least one block: total processors %d total blocks %" PetscInt_FMT, rank, size, N); 800 PetscCheck(!pc->setupcalled || n == osm->n_local_true, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "PCASMSetTotalSubdomains() should be called before PCSetUp()."); 801 if (!pc->setupcalled) { 802 PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local)); 803 804 osm->n_local_true = n; 805 osm->is = NULL; 806 osm->is_local = NULL; 807 } 808 PetscFunctionReturn(PETSC_SUCCESS); 809 } 810 811 static PetscErrorCode PCASMSetOverlap_ASM(PC pc, PetscInt ovl) 812 { 813 PC_ASM *osm = (PC_ASM *)pc->data; 814 815 PetscFunctionBegin; 816 PetscCheck(ovl >= 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap value requested"); 817 PetscCheck(!pc->setupcalled || ovl == osm->overlap, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetOverlap() should be called before PCSetUp()."); 818 if (!pc->setupcalled) osm->overlap = ovl; 819 PetscFunctionReturn(PETSC_SUCCESS); 820 } 821 822 static PetscErrorCode PCASMSetType_ASM(PC pc, PCASMType type) 823 { 824 PC_ASM *osm = (PC_ASM *)pc->data; 825 826 PetscFunctionBegin; 827 osm->type = type; 828 osm->type_set = PETSC_TRUE; 829 PetscFunctionReturn(PETSC_SUCCESS); 830 } 831 832 static PetscErrorCode PCASMGetType_ASM(PC pc, PCASMType *type) 833 { 834 PC_ASM *osm = (PC_ASM *)pc->data; 835 836 PetscFunctionBegin; 837 *type = osm->type; 838 PetscFunctionReturn(PETSC_SUCCESS); 839 } 840 841 static PetscErrorCode PCASMSetLocalType_ASM(PC pc, PCCompositeType type) 842 { 843 PC_ASM *osm = (PC_ASM *)pc->data; 844 845 PetscFunctionBegin; 846 PetscCheck(type == PC_COMPOSITE_ADDITIVE || type == PC_COMPOSITE_MULTIPLICATIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Only supports additive or multiplicative as the local type"); 847 osm->loctype = type; 848 PetscFunctionReturn(PETSC_SUCCESS); 849 } 850 851 static PetscErrorCode PCASMGetLocalType_ASM(PC pc, PCCompositeType *type) 852 { 853 PC_ASM *osm = (PC_ASM *)pc->data; 854 855 PetscFunctionBegin; 856 *type = osm->loctype; 857 PetscFunctionReturn(PETSC_SUCCESS); 858 } 859 860 static PetscErrorCode PCASMSetSortIndices_ASM(PC pc, PetscBool doSort) 861 { 862 PC_ASM *osm = (PC_ASM *)pc->data; 863 864 PetscFunctionBegin; 865 osm->sort_indices = doSort; 866 PetscFunctionReturn(PETSC_SUCCESS); 867 } 868 869 static PetscErrorCode PCASMGetSubKSP_ASM(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp) 870 { 871 PC_ASM *osm = (PC_ASM *)pc->data; 872 873 PetscFunctionBegin; 874 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"); 875 876 if (n_local) *n_local = osm->n_local_true; 877 if (first_local) { 878 PetscCallMPI(MPI_Scan(&osm->n_local_true, first_local, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc))); 879 *first_local -= osm->n_local_true; 880 } 881 if (ksp) *ksp = osm->ksp; 882 PetscFunctionReturn(PETSC_SUCCESS); 883 } 884 885 static PetscErrorCode PCASMGetSubMatType_ASM(PC pc, MatType *sub_mat_type) 886 { 887 PC_ASM *osm = (PC_ASM *)pc->data; 888 889 PetscFunctionBegin; 890 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 891 PetscAssertPointer(sub_mat_type, 2); 892 *sub_mat_type = osm->sub_mat_type; 893 PetscFunctionReturn(PETSC_SUCCESS); 894 } 895 896 static PetscErrorCode PCASMSetSubMatType_ASM(PC pc, MatType sub_mat_type) 897 { 898 PC_ASM *osm = (PC_ASM *)pc->data; 899 900 PetscFunctionBegin; 901 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 902 PetscCall(PetscFree(osm->sub_mat_type)); 903 PetscCall(PetscStrallocpy(sub_mat_type, (char **)&osm->sub_mat_type)); 904 PetscFunctionReturn(PETSC_SUCCESS); 905 } 906 907 /*@ 908 PCASMSetLocalSubdomains - Sets the local subdomains (for this processor only) for the additive Schwarz preconditioner `PCASM`. 909 910 Collective 911 912 Input Parameters: 913 + pc - the preconditioner context 914 . n - the number of subdomains for this processor (default value = 1) 915 . is - the index set that defines the subdomains for this processor (or `NULL` for PETSc to determine subdomains) 916 the values of the `is` array are copied so you can free the array (not the `IS` in the array) after this call 917 - is_local - the index sets that define the local part of the subdomains for this processor, not used unless `PCASMType` is `PC_ASM_RESTRICT` 918 (or `NULL` to not provide these). The values of the `is_local` array are copied so you can free the array 919 (not the `IS` in the array) after this call 920 921 Options Database Key: 922 . -pc_asm_local_blocks <blks> - Sets number of local blocks 923 924 Level: advanced 925 926 Notes: 927 The `IS` numbering is in the parallel, global numbering of the vector for both `is` and `is_local` 928 929 By default the `PCASM` preconditioner uses 1 block per processor. 930 931 Use `PCASMSetTotalSubdomains()` to set the subdomains for all processors. 932 933 If `is_local` is provided and `PCASMType` is `PC_ASM_RESTRICT` then the solution only over the `is_local` region is interpolated 934 back to form the global solution (this is the standard restricted additive Schwarz method, RASM) 935 936 If `is_local` is provided and `PCASMType` is `PC_ASM_INTERPOLATE` or `PC_ASM_NONE` then an error is generated since there is 937 no code to handle that case. 938 939 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 940 `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `PCASMType`, `PCASMSetType()`, `PCGASM` 941 @*/ 942 PetscErrorCode PCASMSetLocalSubdomains(PC pc, PetscInt n, IS is[], IS is_local[]) 943 { 944 PetscFunctionBegin; 945 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 946 PetscTryMethod(pc, "PCASMSetLocalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, n, is, is_local)); 947 PetscFunctionReturn(PETSC_SUCCESS); 948 } 949 950 /*@ 951 PCASMSetTotalSubdomains - Sets the subdomains for all processors for the 952 additive Schwarz preconditioner, `PCASM`. 953 954 Collective, all MPI ranks must pass in the same array of `IS` 955 956 Input Parameters: 957 + pc - the preconditioner context 958 . N - the number of subdomains for all processors 959 . is - the index sets that define the subdomains for all processors (or `NULL` to ask PETSc to determine the subdomains) 960 the values of the `is` array are copied so you can free the array (not the `IS` in the array) after this call 961 - is_local - the index sets that define the local part of the subdomains for this processor (or `NULL` to not provide this information) 962 The values of the `is_local` array are copied so you can free the array (not the `IS` in the array) after this call 963 964 Options Database Key: 965 . -pc_asm_blocks <blks> - Sets total blocks 966 967 Level: advanced 968 969 Notes: 970 Currently you cannot use this to set the actual subdomains with the argument `is` or `is_local`. 971 972 By default the `PCASM` preconditioner uses 1 block per processor. 973 974 These index sets cannot be destroyed until after completion of the 975 linear solves for which the `PCASM` preconditioner is being used. 976 977 Use `PCASMSetLocalSubdomains()` to set local subdomains. 978 979 The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local 980 981 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 982 `PCASMCreateSubdomains2D()`, `PCGASM` 983 @*/ 984 PetscErrorCode PCASMSetTotalSubdomains(PC pc, PetscInt N, IS is[], IS is_local[]) 985 { 986 PetscFunctionBegin; 987 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 988 PetscTryMethod(pc, "PCASMSetTotalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, N, is, is_local)); 989 PetscFunctionReturn(PETSC_SUCCESS); 990 } 991 992 /*@ 993 PCASMSetOverlap - Sets the overlap between a pair of subdomains for the 994 additive Schwarz preconditioner, `PCASM`. 995 996 Logically Collective 997 998 Input Parameters: 999 + pc - the preconditioner context 1000 - ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1) 1001 1002 Options Database Key: 1003 . -pc_asm_overlap <ovl> - Sets overlap 1004 1005 Level: intermediate 1006 1007 Notes: 1008 By default the `PCASM` preconditioner uses 1 block per processor. To use 1009 multiple blocks per perocessor, see `PCASMSetTotalSubdomains()` and 1010 `PCASMSetLocalSubdomains()` (and the option -pc_asm_blocks <blks>). 1011 1012 The overlap defaults to 1, so if one desires that no additional 1013 overlap be computed beyond what may have been set with a call to 1014 `PCASMSetTotalSubdomains()` or `PCASMSetLocalSubdomains()`, then ovl 1015 must be set to be 0. In particular, if one does not explicitly set 1016 the subdomains an application code, then all overlap would be computed 1017 internally by PETSc, and using an overlap of 0 would result in an `PCASM` 1018 variant that is equivalent to the block Jacobi preconditioner. 1019 1020 The default algorithm used by PETSc to increase overlap is fast, but not scalable, 1021 use the option -mat_increase_overlap_scalable when the problem and number of processes is large. 1022 1023 One can define initial index sets with any overlap via 1024 `PCASMSetLocalSubdomains()`; the routine 1025 `PCASMSetOverlap()` merely allows PETSc to extend that overlap further 1026 if desired. 1027 1028 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`, 1029 `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `MatIncreaseOverlap()`, `PCGASM` 1030 @*/ 1031 PetscErrorCode PCASMSetOverlap(PC pc, PetscInt ovl) 1032 { 1033 PetscFunctionBegin; 1034 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1035 PetscValidLogicalCollectiveInt(pc, ovl, 2); 1036 PetscTryMethod(pc, "PCASMSetOverlap_C", (PC, PetscInt), (pc, ovl)); 1037 PetscFunctionReturn(PETSC_SUCCESS); 1038 } 1039 1040 /*@ 1041 PCASMSetType - Sets the type of restriction and interpolation used 1042 for local problems in the additive Schwarz method, `PCASM`. 1043 1044 Logically Collective 1045 1046 Input Parameters: 1047 + pc - the preconditioner context 1048 - type - variant of `PCASM`, one of 1049 .vb 1050 PC_ASM_BASIC - full interpolation and restriction 1051 PC_ASM_RESTRICT - full restriction, local processor interpolation (default) 1052 PC_ASM_INTERPOLATE - full interpolation, local processor restriction 1053 PC_ASM_NONE - local processor restriction and interpolation 1054 .ve 1055 1056 Options Database Key: 1057 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType` 1058 1059 Level: intermediate 1060 1061 Note: 1062 if the is_local arguments are passed to `PCASMSetLocalSubdomains()` then they are used when `PC_ASM_RESTRICT` has been selected 1063 to limit the local processor interpolation 1064 1065 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, 1066 `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetLocalType()`, `PCASMGetLocalType()`, `PCGASM` 1067 @*/ 1068 PetscErrorCode PCASMSetType(PC pc, PCASMType type) 1069 { 1070 PetscFunctionBegin; 1071 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1072 PetscValidLogicalCollectiveEnum(pc, type, 2); 1073 PetscTryMethod(pc, "PCASMSetType_C", (PC, PCASMType), (pc, type)); 1074 PetscFunctionReturn(PETSC_SUCCESS); 1075 } 1076 1077 /*@ 1078 PCASMGetType - Gets the type of restriction and interpolation used 1079 for local problems in the additive Schwarz method, `PCASM`. 1080 1081 Logically Collective 1082 1083 Input Parameter: 1084 . pc - the preconditioner context 1085 1086 Output Parameter: 1087 . type - variant of `PCASM`, one of 1088 .vb 1089 PC_ASM_BASIC - full interpolation and restriction 1090 PC_ASM_RESTRICT - full restriction, local processor interpolation 1091 PC_ASM_INTERPOLATE - full interpolation, local processor restriction 1092 PC_ASM_NONE - local processor restriction and interpolation 1093 .ve 1094 1095 Options Database Key: 1096 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASM` type 1097 1098 Level: intermediate 1099 1100 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, `PCGASM`, 1101 `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()` 1102 @*/ 1103 PetscErrorCode PCASMGetType(PC pc, PCASMType *type) 1104 { 1105 PetscFunctionBegin; 1106 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1107 PetscUseMethod(pc, "PCASMGetType_C", (PC, PCASMType *), (pc, type)); 1108 PetscFunctionReturn(PETSC_SUCCESS); 1109 } 1110 1111 /*@ 1112 PCASMSetLocalType - Sets the type of composition used for local problems in the additive Schwarz method, `PCASM`. 1113 1114 Logically Collective 1115 1116 Input Parameters: 1117 + pc - the preconditioner context 1118 - type - type of composition, one of 1119 .vb 1120 PC_COMPOSITE_ADDITIVE - local additive combination 1121 PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination 1122 .ve 1123 1124 Options Database Key: 1125 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type 1126 1127 Level: intermediate 1128 1129 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMGetLocalType()`, `PCASMType`, `PCCompositeType` 1130 @*/ 1131 PetscErrorCode PCASMSetLocalType(PC pc, PCCompositeType type) 1132 { 1133 PetscFunctionBegin; 1134 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1135 PetscValidLogicalCollectiveEnum(pc, type, 2); 1136 PetscTryMethod(pc, "PCASMSetLocalType_C", (PC, PCCompositeType), (pc, type)); 1137 PetscFunctionReturn(PETSC_SUCCESS); 1138 } 1139 1140 /*@ 1141 PCASMGetLocalType - Gets the type of composition used for local problems in the additive Schwarz method, `PCASM`. 1142 1143 Logically Collective 1144 1145 Input Parameter: 1146 . pc - the preconditioner context 1147 1148 Output Parameter: 1149 . type - type of composition, one of 1150 .vb 1151 PC_COMPOSITE_ADDITIVE - local additive combination 1152 PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination 1153 .ve 1154 1155 Options Database Key: 1156 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type 1157 1158 Level: intermediate 1159 1160 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMType`, `PCCompositeType` 1161 @*/ 1162 PetscErrorCode PCASMGetLocalType(PC pc, PCCompositeType *type) 1163 { 1164 PetscFunctionBegin; 1165 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1166 PetscAssertPointer(type, 2); 1167 PetscUseMethod(pc, "PCASMGetLocalType_C", (PC, PCCompositeType *), (pc, type)); 1168 PetscFunctionReturn(PETSC_SUCCESS); 1169 } 1170 1171 /*@ 1172 PCASMSetSortIndices - Determines whether subdomain indices are sorted. 1173 1174 Logically Collective 1175 1176 Input Parameters: 1177 + pc - the preconditioner context 1178 - doSort - sort the subdomain indices 1179 1180 Level: intermediate 1181 1182 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, 1183 `PCASMCreateSubdomains2D()` 1184 @*/ 1185 PetscErrorCode PCASMSetSortIndices(PC pc, PetscBool doSort) 1186 { 1187 PetscFunctionBegin; 1188 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1189 PetscValidLogicalCollectiveBool(pc, doSort, 2); 1190 PetscTryMethod(pc, "PCASMSetSortIndices_C", (PC, PetscBool), (pc, doSort)); 1191 PetscFunctionReturn(PETSC_SUCCESS); 1192 } 1193 1194 /*@C 1195 PCASMGetSubKSP - Gets the local `KSP` contexts for all blocks on 1196 this processor. 1197 1198 Collective iff first_local is requested 1199 1200 Input Parameter: 1201 . pc - the preconditioner context 1202 1203 Output Parameters: 1204 + n_local - the number of blocks on this processor or `NULL` 1205 . first_local - the global number of the first block on this processor or `NULL`, all processors must request or all must pass `NULL` 1206 - ksp - the array of `KSP` contexts 1207 1208 Level: advanced 1209 1210 Notes: 1211 After `PCASMGetSubKSP()` the array of `KSP`s is not to be freed. 1212 1213 You must call `KSPSetUp()` before calling `PCASMGetSubKSP()`. 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_dm_subdomains <bool> - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()` 1235 - -pc_asm_local_type [additive, multiplicative] - Sets `PCCompositeType`, default is additive. See `PCASMSetLocalType()` 1236 1237 Level: beginner 1238 1239 Notes: 1240 If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you 1241 will get a different convergence rate due to the default option of `-pc_asm_type restrict`. Use 1242 `-pc_asm_type basic` to get the same convergence behavior 1243 1244 Each processor can have one or more blocks, but a block cannot be shared by more 1245 than one processor. Use `PCGASM` for subdomains shared by multiple processes. 1246 1247 To set options on the solvers for each block append `-sub_` to all the `KSP`, and `PC` 1248 options database keys. For example, `-sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly` 1249 1250 To set the options on the solvers separate for each block call `PCASMGetSubKSP()` 1251 and set the options directly on the resulting `KSP` object (you can access its `PC` with `KSPGetPC()`) 1252 1253 If the `PC` has an associated `DM`, then, by default, `DMCreateDomainDecomposition()` is used to create the subdomains 1254 1255 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCASMType`, `PCCompositeType`, 1256 `PCBJACOBI`, `PCASMGetSubKSP()`, `PCASMSetLocalSubdomains()`, `PCASMType`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()` 1257 `PCASMSetTotalSubdomains()`, `PCSetModifySubMatrices()`, `PCASMSetOverlap()`, `PCASMSetType()`, `PCCompositeType` 1258 M*/ 1259 1260 PETSC_EXTERN PetscErrorCode PCCreate_ASM(PC pc) 1261 { 1262 PC_ASM *osm; 1263 1264 PetscFunctionBegin; 1265 PetscCall(PetscNew(&osm)); 1266 1267 osm->n = PETSC_DECIDE; 1268 osm->n_local = 0; 1269 osm->n_local_true = PETSC_DECIDE; 1270 osm->overlap = 1; 1271 osm->ksp = NULL; 1272 osm->restriction = NULL; 1273 osm->lprolongation = NULL; 1274 osm->lrestriction = NULL; 1275 osm->x = NULL; 1276 osm->y = NULL; 1277 osm->is = NULL; 1278 osm->is_local = NULL; 1279 osm->mat = NULL; 1280 osm->pmat = NULL; 1281 osm->type = PC_ASM_RESTRICT; 1282 osm->loctype = PC_COMPOSITE_ADDITIVE; 1283 osm->sort_indices = PETSC_TRUE; 1284 osm->dm_subdomains = PETSC_FALSE; 1285 osm->sub_mat_type = NULL; 1286 1287 pc->data = (void *)osm; 1288 pc->ops->apply = PCApply_ASM; 1289 pc->ops->matapply = PCMatApply_ASM; 1290 pc->ops->applytranspose = PCApplyTranspose_ASM; 1291 pc->ops->setup = PCSetUp_ASM; 1292 pc->ops->reset = PCReset_ASM; 1293 pc->ops->destroy = PCDestroy_ASM; 1294 pc->ops->setfromoptions = PCSetFromOptions_ASM; 1295 pc->ops->setuponblocks = PCSetUpOnBlocks_ASM; 1296 pc->ops->view = PCView_ASM; 1297 pc->ops->applyrichardson = NULL; 1298 1299 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", PCASMSetLocalSubdomains_ASM)); 1300 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", PCASMSetTotalSubdomains_ASM)); 1301 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", PCASMSetOverlap_ASM)); 1302 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", PCASMSetType_ASM)); 1303 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", PCASMGetType_ASM)); 1304 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", PCASMSetLocalType_ASM)); 1305 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", PCASMGetLocalType_ASM)); 1306 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", PCASMSetSortIndices_ASM)); 1307 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", PCASMGetSubKSP_ASM)); 1308 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", PCASMGetSubMatType_ASM)); 1309 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", PCASMSetSubMatType_ASM)); 1310 PetscFunctionReturn(PETSC_SUCCESS); 1311 } 1312 1313 /*@C 1314 PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz 1315 preconditioner, `PCASM`, for any problem on a general grid. 1316 1317 Collective 1318 1319 Input Parameters: 1320 + A - The global matrix operator 1321 - n - the number of local blocks 1322 1323 Output Parameter: 1324 . outis - the array of index sets defining the subdomains 1325 1326 Level: advanced 1327 1328 Note: 1329 This generates nonoverlapping subdomains; the `PCASM` will generate the overlap 1330 from these if you use `PCASMSetLocalSubdomains()` 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 Developer Note: 1495 The `IS` arguments should be a *[] 1496 1497 .seealso: [](ch_ksp), `PCASM`, `PCASMCreateSubdomains()`, `PCASMSetLocalSubdomains()` 1498 @*/ 1499 PetscErrorCode PCASMDestroySubdomains(PetscInt n, IS *is[], IS *is_local[]) 1500 { 1501 PetscInt i; 1502 1503 PetscFunctionBegin; 1504 if (n <= 0) PetscFunctionReturn(PETSC_SUCCESS); 1505 if (*is) { 1506 PetscAssertPointer(*is, 2); 1507 for (i = 0; i < n; i++) PetscCall(ISDestroy(&(*is)[i])); 1508 PetscCall(PetscFree(*is)); 1509 } 1510 if (is_local && *is_local) { 1511 PetscAssertPointer(*is_local, 3); 1512 for (i = 0; i < n; i++) PetscCall(ISDestroy(&(*is_local)[i])); 1513 PetscCall(PetscFree(*is_local)); 1514 } 1515 PetscFunctionReturn(PETSC_SUCCESS); 1516 } 1517 1518 /*@C 1519 PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz 1520 preconditioner, `PCASM`, for a two-dimensional problem on a regular grid. 1521 1522 Not Collective 1523 1524 Input Parameters: 1525 + m - the number of mesh points in the x direction 1526 . n - the number of mesh points in the y direction 1527 . M - the number of subdomains in the x direction 1528 . N - the number of subdomains in the y direction 1529 . dof - degrees of freedom per node 1530 - overlap - overlap in mesh lines 1531 1532 Output Parameters: 1533 + Nsub - the number of subdomains created 1534 . is - array of index sets defining overlapping (if overlap > 0) subdomains 1535 - is_local - array of index sets defining non-overlapping subdomains 1536 1537 Level: advanced 1538 1539 Note: 1540 Presently `PCAMSCreateSubdomains2d()` is valid only for sequential 1541 preconditioners. More general related routines are 1542 `PCASMSetTotalSubdomains()` and `PCASMSetLocalSubdomains()`. 1543 1544 Fortran Notes: 1545 `is` must be declared as an array of length long enough to hold `Nsub` entries 1546 1547 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`, 1548 `PCASMSetOverlap()` 1549 @*/ 1550 PetscErrorCode PCASMCreateSubdomains2D(PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt dof, PetscInt overlap, PetscInt *Nsub, IS *is[], IS *is_local[]) 1551 { 1552 PetscInt i, j, height, width, ystart, xstart, yleft, yright, xleft, xright, loc_outer; 1553 PetscInt nidx, *idx, loc, ii, jj, count; 1554 1555 PetscFunctionBegin; 1556 PetscCheck(dof == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "dof must be 1"); 1557 1558 *Nsub = N * M; 1559 PetscCall(PetscMalloc1(*Nsub, is)); 1560 PetscCall(PetscMalloc1(*Nsub, is_local)); 1561 ystart = 0; 1562 loc_outer = 0; 1563 for (i = 0; i < N; i++) { 1564 height = n / N + ((n % N) > i); /* height of subdomain */ 1565 PetscCheck(height >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many N subdomains for mesh dimension n"); 1566 yleft = ystart - overlap; 1567 if (yleft < 0) yleft = 0; 1568 yright = ystart + height + overlap; 1569 if (yright > n) yright = n; 1570 xstart = 0; 1571 for (j = 0; j < M; j++) { 1572 width = m / M + ((m % M) > j); /* width of subdomain */ 1573 PetscCheck(width >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many M subdomains for mesh dimension m"); 1574 xleft = xstart - overlap; 1575 if (xleft < 0) xleft = 0; 1576 xright = xstart + width + overlap; 1577 if (xright > m) xright = m; 1578 nidx = (xright - xleft) * (yright - yleft); 1579 PetscCall(PetscMalloc1(nidx, &idx)); 1580 loc = 0; 1581 for (ii = yleft; ii < yright; ii++) { 1582 count = m * ii + xleft; 1583 for (jj = xleft; jj < xright; jj++) idx[loc++] = count++; 1584 } 1585 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nidx, idx, PETSC_COPY_VALUES, (*is) + loc_outer)); 1586 if (overlap == 0) { 1587 PetscCall(PetscObjectReference((PetscObject)(*is)[loc_outer])); 1588 1589 (*is_local)[loc_outer] = (*is)[loc_outer]; 1590 } else { 1591 for (loc = 0, ii = ystart; ii < ystart + height; ii++) { 1592 for (jj = xstart; jj < xstart + width; jj++) idx[loc++] = m * ii + jj; 1593 } 1594 PetscCall(ISCreateGeneral(PETSC_COMM_SELF, loc, idx, PETSC_COPY_VALUES, *is_local + loc_outer)); 1595 } 1596 PetscCall(PetscFree(idx)); 1597 xstart += width; 1598 loc_outer++; 1599 } 1600 ystart += height; 1601 } 1602 for (i = 0; i < *Nsub; i++) PetscCall(ISSort((*is)[i])); 1603 PetscFunctionReturn(PETSC_SUCCESS); 1604 } 1605 1606 /*@C 1607 PCASMGetLocalSubdomains - Gets the local subdomains (for this processor 1608 only) for the additive Schwarz preconditioner, `PCASM`. 1609 1610 Not Collective 1611 1612 Input Parameter: 1613 . pc - the preconditioner context 1614 1615 Output Parameters: 1616 + n - if requested, the number of subdomains for this processor (default value = 1) 1617 . is - if requested, the index sets that define the subdomains for this processor 1618 - is_local - if requested, the index sets that define the local part of the subdomains for this processor (can be `NULL`) 1619 1620 Level: advanced 1621 1622 Note: 1623 The `IS` numbering is in the parallel, global numbering of the vector. 1624 1625 Fortran Note: 1626 Pass in for `is` and `is_local` arrays long enough to hold all the subdomains 1627 1628 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 1629 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubmatrices()` 1630 @*/ 1631 PetscErrorCode PCASMGetLocalSubdomains(PC pc, PetscInt *n, IS *is[], IS *is_local[]) 1632 { 1633 PC_ASM *osm = (PC_ASM *)pc->data; 1634 PetscBool match; 1635 1636 PetscFunctionBegin; 1637 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1638 if (n) PetscAssertPointer(n, 2); 1639 if (is) PetscAssertPointer(is, 3); 1640 if (is_local) PetscAssertPointer(is_local, 4); 1641 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1642 PetscCheck(match, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "PC is not a PCASM"); 1643 if (n) *n = osm->n_local_true; 1644 if (is) *is = osm->is; 1645 if (is_local) *is_local = osm->is_local; 1646 PetscFunctionReturn(PETSC_SUCCESS); 1647 } 1648 1649 /*@C 1650 PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor 1651 only) for the additive Schwarz preconditioner, `PCASM`. 1652 1653 Not Collective 1654 1655 Input Parameter: 1656 . pc - the preconditioner context 1657 1658 Output Parameters: 1659 + n - if requested, the number of matrices for this processor (default value = 1) 1660 - mat - if requested, the matrices 1661 1662 Level: advanced 1663 1664 Notes: 1665 Call after `PCSetUp()` (or `KSPSetUp()`) but before `PCApply()` and before `PCSetUpOnBlocks()`) 1666 1667 Usually one would use `PCSetModifySubMatrices()` to change the submatrices in building the preconditioner. 1668 1669 Fortran Note: 1670 Pass in for `mat` an array long enough to hold all the matrices 1671 1672 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`, 1673 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`, `PCSetModifySubMatrices()` 1674 @*/ 1675 PetscErrorCode PCASMGetLocalSubmatrices(PC pc, PetscInt *n, Mat *mat[]) 1676 { 1677 PC_ASM *osm; 1678 PetscBool match; 1679 1680 PetscFunctionBegin; 1681 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1682 if (n) PetscAssertPointer(n, 2); 1683 if (mat) PetscAssertPointer(mat, 3); 1684 PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call after KSPSetUp() or PCSetUp()."); 1685 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1686 if (!match) { 1687 if (n) *n = 0; 1688 if (mat) *mat = NULL; 1689 } else { 1690 osm = (PC_ASM *)pc->data; 1691 if (n) *n = osm->n_local_true; 1692 if (mat) *mat = osm->pmat; 1693 } 1694 PetscFunctionReturn(PETSC_SUCCESS); 1695 } 1696 1697 /*@ 1698 PCASMSetDMSubdomains - Indicates whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible. 1699 1700 Logically Collective 1701 1702 Input Parameters: 1703 + pc - the preconditioner 1704 - flg - boolean indicating whether to use subdomains defined by the `DM` 1705 1706 Options Database Key: 1707 . -pc_asm_dm_subdomains <bool> - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()` 1708 1709 Level: intermediate 1710 1711 Note: 1712 `PCASMSetTotalSubdomains()` and `PCASMSetOverlap()` take precedence over `PCASMSetDMSubdomains()`, 1713 so setting either of the first two effectively turns the latter off. 1714 1715 Developer Note: 1716 This should be `PCASMSetUseDMSubdomains()`, similarly for the options database key 1717 1718 .seealso: [](ch_ksp), `PCASM`, `PCASMGetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()` 1719 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()` 1720 @*/ 1721 PetscErrorCode PCASMSetDMSubdomains(PC pc, PetscBool flg) 1722 { 1723 PC_ASM *osm = (PC_ASM *)pc->data; 1724 PetscBool match; 1725 1726 PetscFunctionBegin; 1727 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1728 PetscValidLogicalCollectiveBool(pc, flg, 2); 1729 PetscCheck(!pc->setupcalled, ((PetscObject)pc)->comm, PETSC_ERR_ARG_WRONGSTATE, "Not for a setup PC."); 1730 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1731 if (match) osm->dm_subdomains = flg; 1732 PetscFunctionReturn(PETSC_SUCCESS); 1733 } 1734 1735 /*@ 1736 PCASMGetDMSubdomains - Returns flag indicating whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible. 1737 1738 Not Collective 1739 1740 Input Parameter: 1741 . pc - the preconditioner 1742 1743 Output Parameter: 1744 . flg - boolean indicating whether to use subdomains defined by the `DM` 1745 1746 Level: intermediate 1747 1748 Developer Note: 1749 This should be `PCASMSetUseDMSubdomains()` 1750 1751 .seealso: [](ch_ksp), `PCASM`, `PCASMSetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()` 1752 `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()` 1753 @*/ 1754 PetscErrorCode PCASMGetDMSubdomains(PC pc, PetscBool *flg) 1755 { 1756 PC_ASM *osm = (PC_ASM *)pc->data; 1757 PetscBool match; 1758 1759 PetscFunctionBegin; 1760 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1761 PetscAssertPointer(flg, 2); 1762 PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match)); 1763 if (match) *flg = osm->dm_subdomains; 1764 else *flg = PETSC_FALSE; 1765 PetscFunctionReturn(PETSC_SUCCESS); 1766 } 1767 1768 /*@ 1769 PCASMGetSubMatType - Gets the matrix type used for `PCASM` subsolves, as a string. 1770 1771 Not Collective 1772 1773 Input Parameter: 1774 . pc - the `PC` 1775 1776 Output Parameter: 1777 . sub_mat_type - name of matrix type 1778 1779 Level: advanced 1780 1781 .seealso: [](ch_ksp), `PCASM`, `PCASMSetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat` 1782 @*/ 1783 PetscErrorCode PCASMGetSubMatType(PC pc, MatType *sub_mat_type) 1784 { 1785 PetscFunctionBegin; 1786 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1787 PetscTryMethod(pc, "PCASMGetSubMatType_C", (PC, MatType *), (pc, sub_mat_type)); 1788 PetscFunctionReturn(PETSC_SUCCESS); 1789 } 1790 1791 /*@ 1792 PCASMSetSubMatType - Set the type of matrix used for `PCASM` subsolves 1793 1794 Collective 1795 1796 Input Parameters: 1797 + pc - the `PC` object 1798 - sub_mat_type - the `MatType` 1799 1800 Options Database Key: 1801 . -pc_asm_sub_mat_type <sub_mat_type> - Sets the matrix type used for subsolves, for example, seqaijviennacl. 1802 If you specify a base name like aijviennacl, the corresponding sequential type is assumed. 1803 1804 Note: 1805 See `MatType` for available types 1806 1807 Level: advanced 1808 1809 .seealso: [](ch_ksp), `PCASM`, `PCASMGetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat` 1810 @*/ 1811 PetscErrorCode PCASMSetSubMatType(PC pc, MatType sub_mat_type) 1812 { 1813 PetscFunctionBegin; 1814 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 1815 PetscTryMethod(pc, "PCASMSetSubMatType_C", (PC, MatType), (pc, sub_mat_type)); 1816 PetscFunctionReturn(PETSC_SUCCESS); 1817 } 1818