1 /* 2 Defines a block Jacobi preconditioner. 3 */ 4 5 #include <../src/ksp/pc/impls/bjacobi/bjacobi.h> /*I "petscpc.h" I*/ 6 7 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC, Mat, Mat); 8 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC, Mat, Mat); 9 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC); 10 11 static PetscErrorCode PCSetUp_BJacobi(PC pc) 12 { 13 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 14 Mat mat = pc->mat, pmat = pc->pmat; 15 PetscBool hasop; 16 PetscInt N, M, start, i, sum, end; 17 PetscInt bs, i_start = -1, i_end = -1; 18 PetscMPIInt rank, size; 19 20 PetscFunctionBegin; 21 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 22 PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size)); 23 PetscCall(MatGetLocalSize(pc->pmat, &M, &N)); 24 PetscCall(MatGetBlockSize(pc->pmat, &bs)); 25 26 if (jac->n > 0 && jac->n < size) { 27 PetscCall(PCSetUp_BJacobi_Multiproc(pc)); 28 PetscFunctionReturn(PETSC_SUCCESS); 29 } 30 31 /* Determines the number of blocks assigned to each processor */ 32 /* local block count given */ 33 if (jac->n_local > 0 && jac->n < 0) { 34 PetscCallMPI(MPIU_Allreduce(&jac->n_local, &jac->n, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc))); 35 if (jac->l_lens) { /* check that user set these correctly */ 36 sum = 0; 37 for (i = 0; i < jac->n_local; i++) { 38 PetscCheck(jac->l_lens[i] / bs * bs == jac->l_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Mat blocksize doesn't match block Jacobi layout"); 39 sum += jac->l_lens[i]; 40 } 41 PetscCheck(sum == M, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Local lens set incorrectly"); 42 } else { 43 PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens)); 44 for (i = 0; i < jac->n_local; i++) jac->l_lens[i] = bs * ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i)); 45 } 46 } else if (jac->n > 0 && jac->n_local < 0) { /* global block count given */ 47 /* global blocks given: determine which ones are local */ 48 if (jac->g_lens) { 49 /* check if the g_lens is has valid entries */ 50 for (i = 0; i < jac->n; i++) { 51 PetscCheck(jac->g_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Zero block not allowed"); 52 PetscCheck(jac->g_lens[i] / bs * bs == jac->g_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Mat blocksize doesn't match block Jacobi layout"); 53 } 54 if (size == 1) { 55 jac->n_local = jac->n; 56 PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens)); 57 PetscCall(PetscArraycpy(jac->l_lens, jac->g_lens, jac->n_local)); 58 /* check that user set these correctly */ 59 sum = 0; 60 for (i = 0; i < jac->n_local; i++) sum += jac->l_lens[i]; 61 PetscCheck(sum == M, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Global lens set incorrectly"); 62 } else { 63 PetscCall(MatGetOwnershipRange(pc->pmat, &start, &end)); 64 /* loop over blocks determining first one owned by me */ 65 sum = 0; 66 for (i = 0; i < jac->n + 1; i++) { 67 if (sum == start) { 68 i_start = i; 69 goto start_1; 70 } 71 if (i < jac->n) sum += jac->g_lens[i]; 72 } 73 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 74 start_1: 75 for (i = i_start; i < jac->n + 1; i++) { 76 if (sum == end) { 77 i_end = i; 78 goto end_1; 79 } 80 if (i < jac->n) sum += jac->g_lens[i]; 81 } 82 SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 83 end_1: 84 jac->n_local = i_end - i_start; 85 PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens)); 86 PetscCall(PetscArraycpy(jac->l_lens, jac->g_lens + i_start, jac->n_local)); 87 } 88 } else { /* no global blocks given, determine then using default layout */ 89 jac->n_local = jac->n / size + ((jac->n % size) > rank); 90 PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens)); 91 for (i = 0; i < jac->n_local; i++) { 92 jac->l_lens[i] = ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i)) * bs; 93 PetscCheck(jac->l_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Too many blocks given"); 94 } 95 } 96 } else if (jac->n < 0 && jac->n_local < 0) { /* no blocks given */ 97 jac->n = size; 98 jac->n_local = 1; 99 PetscCall(PetscMalloc1(1, &jac->l_lens)); 100 jac->l_lens[0] = M; 101 } else { /* jac->n > 0 && jac->n_local > 0 */ 102 if (!jac->l_lens) { 103 PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens)); 104 for (i = 0; i < jac->n_local; i++) jac->l_lens[i] = bs * ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i)); 105 } 106 } 107 PetscCheck(jac->n_local >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Number of blocks is less than number of processors"); 108 109 /* Determines mat and pmat */ 110 PetscCall(MatHasOperation(pc->mat, MATOP_GET_DIAGONAL_BLOCK, &hasop)); 111 if (!hasop && size == 1) { 112 mat = pc->mat; 113 pmat = pc->pmat; 114 } else { 115 if (pc->useAmat) { 116 /* use block from Amat matrix, not Pmat for local MatMult() */ 117 PetscCall(MatGetDiagonalBlock(pc->mat, &mat)); 118 } 119 if (pc->pmat != pc->mat || !pc->useAmat) PetscCall(MatGetDiagonalBlock(pc->pmat, &pmat)); 120 else pmat = mat; 121 } 122 123 /* 124 Setup code depends on the number of blocks 125 */ 126 if (jac->n_local == 1) { 127 PetscCall(PCSetUp_BJacobi_Singleblock(pc, mat, pmat)); 128 } else { 129 PetscCall(PCSetUp_BJacobi_Multiblock(pc, mat, pmat)); 130 } 131 PetscFunctionReturn(PETSC_SUCCESS); 132 } 133 134 /* Default destroy, if it has never been setup */ 135 static PetscErrorCode PCDestroy_BJacobi(PC pc) 136 { 137 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 138 139 PetscFunctionBegin; 140 PetscCall(PetscFree(jac->g_lens)); 141 PetscCall(PetscFree(jac->l_lens)); 142 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetSubKSP_C", NULL)); 143 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetTotalBlocks_C", NULL)); 144 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetTotalBlocks_C", NULL)); 145 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetLocalBlocks_C", NULL)); 146 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetLocalBlocks_C", NULL)); 147 PetscCall(PetscFree(pc->data)); 148 PetscFunctionReturn(PETSC_SUCCESS); 149 } 150 151 static PetscErrorCode PCSetFromOptions_BJacobi(PC pc, PetscOptionItems PetscOptionsObject) 152 { 153 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 154 PetscInt blocks, i; 155 PetscBool flg; 156 157 PetscFunctionBegin; 158 PetscOptionsHeadBegin(PetscOptionsObject, "Block Jacobi options"); 159 PetscCall(PetscOptionsInt("-pc_bjacobi_blocks", "Total number of blocks", "PCBJacobiSetTotalBlocks", jac->n, &blocks, &flg)); 160 if (flg) PetscCall(PCBJacobiSetTotalBlocks(pc, blocks, NULL)); 161 PetscCall(PetscOptionsInt("-pc_bjacobi_local_blocks", "Local number of blocks", "PCBJacobiSetLocalBlocks", jac->n_local, &blocks, &flg)); 162 if (flg) PetscCall(PCBJacobiSetLocalBlocks(pc, blocks, NULL)); 163 if (jac->ksp) { 164 /* The sub-KSP has already been set up (e.g., PCSetUp_BJacobi_Singleblock), but KSPSetFromOptions was not called 165 * unless we had already been called. */ 166 for (i = 0; i < jac->n_local; i++) PetscCall(KSPSetFromOptions(jac->ksp[i])); 167 } 168 PetscOptionsHeadEnd(); 169 PetscFunctionReturn(PETSC_SUCCESS); 170 } 171 172 #include <petscdraw.h> 173 static PetscErrorCode PCView_BJacobi(PC pc, PetscViewer viewer) 174 { 175 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 176 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data; 177 PetscMPIInt rank; 178 PetscInt i; 179 PetscBool isascii, isstring, isdraw; 180 PetscViewer sviewer; 181 PetscViewerFormat format; 182 const char *prefix; 183 184 PetscFunctionBegin; 185 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isascii)); 186 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring)); 187 PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw)); 188 if (isascii) { 189 if (pc->useAmat) PetscCall(PetscViewerASCIIPrintf(viewer, " using Amat local matrix, number of blocks = %" PetscInt_FMT "\n", jac->n)); 190 PetscCall(PetscViewerASCIIPrintf(viewer, " number of blocks = %" PetscInt_FMT "\n", jac->n)); 191 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 192 PetscCall(PetscViewerGetFormat(viewer, &format)); 193 if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) { 194 PetscCall(PetscViewerASCIIPrintf(viewer, " Local solver information for first block is in the following KSP and PC objects on rank 0:\n")); 195 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 196 PetscCall(PetscViewerASCIIPrintf(viewer, " Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : "")); 197 if (jac->ksp && !jac->psubcomm) { 198 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 199 if (rank == 0) { 200 PetscCall(PetscViewerASCIIPushTab(sviewer)); 201 PetscCall(KSPView(jac->ksp[0], sviewer)); 202 PetscCall(PetscViewerASCIIPopTab(sviewer)); 203 } 204 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 205 /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ 206 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 207 } else if (mpjac && jac->ksp && mpjac->psubcomm) { 208 PetscCall(PetscViewerGetSubViewer(viewer, mpjac->psubcomm->child, &sviewer)); 209 if (!mpjac->psubcomm->color) { 210 PetscCall(PetscViewerASCIIPushTab(sviewer)); 211 PetscCall(KSPView(*jac->ksp, sviewer)); 212 PetscCall(PetscViewerASCIIPopTab(sviewer)); 213 } 214 PetscCall(PetscViewerRestoreSubViewer(viewer, mpjac->psubcomm->child, &sviewer)); 215 /* extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */ 216 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 217 } 218 } else { 219 PetscInt n_global; 220 PetscCallMPI(MPIU_Allreduce(&jac->n_local, &n_global, 1, MPIU_INT, MPI_MAX, PetscObjectComm((PetscObject)pc))); 221 PetscCall(PetscViewerASCIIPushSynchronized(viewer)); 222 PetscCall(PetscViewerASCIIPrintf(viewer, " Local solver information for each block is in the following KSP and PC objects:\n")); 223 PetscCall(PetscViewerASCIIPushTab(viewer)); 224 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 225 PetscCall(PetscViewerASCIIPrintf(sviewer, "[%d] number of local blocks = %" PetscInt_FMT ", first local block number = %" PetscInt_FMT "\n", rank, jac->n_local, jac->first_local)); 226 for (i = 0; i < jac->n_local; i++) { 227 PetscCall(PetscViewerASCIIPrintf(sviewer, "[%d] local block number %" PetscInt_FMT "\n", rank, i)); 228 PetscCall(KSPView(jac->ksp[i], sviewer)); 229 PetscCall(PetscViewerASCIIPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n")); 230 } 231 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 232 PetscCall(PetscViewerASCIIPopTab(viewer)); 233 PetscCall(PetscViewerASCIIPopSynchronized(viewer)); 234 } 235 } else if (isstring) { 236 PetscCall(PetscViewerStringSPrintf(viewer, " blks=%" PetscInt_FMT, jac->n)); 237 PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 238 if (jac->ksp) PetscCall(KSPView(jac->ksp[0], sviewer)); 239 PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer)); 240 } else if (isdraw) { 241 PetscDraw draw; 242 char str[25]; 243 PetscReal x, y, bottom, h; 244 245 PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw)); 246 PetscCall(PetscDrawGetCurrentPoint(draw, &x, &y)); 247 PetscCall(PetscSNPrintf(str, 25, "Number blocks %" PetscInt_FMT, jac->n)); 248 PetscCall(PetscDrawStringBoxed(draw, x, y, PETSC_DRAW_RED, PETSC_DRAW_BLACK, str, NULL, &h)); 249 bottom = y - h; 250 PetscCall(PetscDrawPushCurrentPoint(draw, x, bottom)); 251 /* warning the communicator on viewer is different then on ksp in parallel */ 252 if (jac->ksp) PetscCall(KSPView(jac->ksp[0], viewer)); 253 PetscCall(PetscDrawPopCurrentPoint(draw)); 254 } 255 PetscFunctionReturn(PETSC_SUCCESS); 256 } 257 258 static PetscErrorCode PCBJacobiGetSubKSP_BJacobi(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp) 259 { 260 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 261 262 PetscFunctionBegin; 263 PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call KSPSetUp() or PCSetUp() first"); 264 265 if (n_local) *n_local = jac->n_local; 266 if (first_local) *first_local = jac->first_local; 267 if (ksp) *ksp = jac->ksp; 268 PetscFunctionReturn(PETSC_SUCCESS); 269 } 270 271 static PetscErrorCode PCBJacobiSetTotalBlocks_BJacobi(PC pc, PetscInt blocks, const PetscInt *lens) 272 { 273 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 274 275 PetscFunctionBegin; 276 PetscCheck(!pc->setupcalled || jac->n == blocks, PetscObjectComm((PetscObject)pc), PETSC_ERR_ORDER, "Cannot alter number of blocks after PCSetUp()/KSPSetUp() has been called"); 277 jac->n = blocks; 278 if (!lens) jac->g_lens = NULL; 279 else { 280 PetscCall(PetscMalloc1(blocks, &jac->g_lens)); 281 PetscCall(PetscArraycpy(jac->g_lens, lens, blocks)); 282 } 283 PetscFunctionReturn(PETSC_SUCCESS); 284 } 285 286 static PetscErrorCode PCBJacobiGetTotalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 287 { 288 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 289 290 PetscFunctionBegin; 291 *blocks = jac->n; 292 if (lens) *lens = jac->g_lens; 293 PetscFunctionReturn(PETSC_SUCCESS); 294 } 295 296 static PetscErrorCode PCBJacobiSetLocalBlocks_BJacobi(PC pc, PetscInt blocks, const PetscInt lens[]) 297 { 298 PC_BJacobi *jac; 299 300 PetscFunctionBegin; 301 jac = (PC_BJacobi *)pc->data; 302 303 jac->n_local = blocks; 304 if (!lens) jac->l_lens = NULL; 305 else { 306 PetscCall(PetscMalloc1(blocks, &jac->l_lens)); 307 PetscCall(PetscArraycpy(jac->l_lens, lens, blocks)); 308 } 309 PetscFunctionReturn(PETSC_SUCCESS); 310 } 311 312 static PetscErrorCode PCBJacobiGetLocalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 313 { 314 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 315 316 PetscFunctionBegin; 317 *blocks = jac->n_local; 318 if (lens) *lens = jac->l_lens; 319 PetscFunctionReturn(PETSC_SUCCESS); 320 } 321 322 /*@C 323 PCBJacobiGetSubKSP - Gets the local `KSP` contexts for all blocks on 324 this processor. 325 326 Not Collective 327 328 Input Parameter: 329 . pc - the preconditioner context 330 331 Output Parameters: 332 + n_local - the number of blocks on this processor, or NULL 333 . first_local - the global number of the first block on this processor, or NULL 334 - ksp - the array of KSP contexts 335 336 Level: advanced 337 338 Notes: 339 After `PCBJacobiGetSubKSP()` the array of `KSP` contexts is not to be freed. 340 341 Currently for some matrix implementations only 1 block per processor 342 is supported. 343 344 You must call `KSPSetUp()` or `PCSetUp()` before calling `PCBJacobiGetSubKSP()`. 345 346 Fortran Note: 347 Call `PCBJacobiRestoreSubKSP()` when you no longer need access to the array of `KSP` 348 349 .seealso: [](ch_ksp), `PCBJACOBI`, `PCASM`, `PCASMGetSubKSP()` 350 @*/ 351 PetscErrorCode PCBJacobiGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[]) 352 { 353 PetscFunctionBegin; 354 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 355 PetscUseMethod(pc, "PCBJacobiGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp)); 356 PetscFunctionReturn(PETSC_SUCCESS); 357 } 358 359 /*@ 360 PCBJacobiSetTotalBlocks - Sets the global number of blocks for the block 361 Jacobi preconditioner. 362 363 Collective 364 365 Input Parameters: 366 + pc - the preconditioner context 367 . blocks - the number of blocks 368 - lens - [optional] integer array containing the size of each block 369 370 Options Database Key: 371 . -pc_bjacobi_blocks <blocks> - Sets the number of global blocks 372 373 Level: intermediate 374 375 Note: 376 Currently only a limited number of blocking configurations are supported. 377 All processors sharing the `PC` must call this routine with the same data. 378 379 .seealso: [](ch_ksp), `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiSetLocalBlocks()` 380 @*/ 381 PetscErrorCode PCBJacobiSetTotalBlocks(PC pc, PetscInt blocks, const PetscInt lens[]) 382 { 383 PetscFunctionBegin; 384 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 385 PetscCheck(blocks > 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Must have positive blocks"); 386 PetscTryMethod(pc, "PCBJacobiSetTotalBlocks_C", (PC, PetscInt, const PetscInt[]), (pc, blocks, lens)); 387 PetscFunctionReturn(PETSC_SUCCESS); 388 } 389 390 /*@C 391 PCBJacobiGetTotalBlocks - Gets the global number of blocks for the block 392 Jacobi, `PCBJACOBI`, preconditioner. 393 394 Not Collective 395 396 Input Parameter: 397 . pc - the preconditioner context 398 399 Output Parameters: 400 + blocks - the number of blocks 401 - lens - integer array containing the size of each block 402 403 Level: intermediate 404 405 .seealso: [](ch_ksp), `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiGetLocalBlocks()` 406 @*/ 407 PetscErrorCode PCBJacobiGetTotalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 408 { 409 PetscFunctionBegin; 410 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 411 PetscAssertPointer(blocks, 2); 412 PetscUseMethod(pc, "PCBJacobiGetTotalBlocks_C", (PC, PetscInt *, const PetscInt *[]), (pc, blocks, lens)); 413 PetscFunctionReturn(PETSC_SUCCESS); 414 } 415 416 /*@ 417 PCBJacobiSetLocalBlocks - Sets the local number of blocks for the block 418 Jacobi, `PCBJACOBI`, preconditioner. 419 420 Not Collective 421 422 Input Parameters: 423 + pc - the preconditioner context 424 . blocks - the number of blocks 425 - lens - [optional] integer array containing size of each block 426 427 Options Database Key: 428 . -pc_bjacobi_local_blocks <blocks> - Sets the number of local blocks 429 430 Level: intermediate 431 432 Note: 433 Currently only a limited number of blocking configurations are supported. 434 435 .seealso: [](ch_ksp), `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiSetTotalBlocks()` 436 @*/ 437 PetscErrorCode PCBJacobiSetLocalBlocks(PC pc, PetscInt blocks, const PetscInt lens[]) 438 { 439 PetscFunctionBegin; 440 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 441 PetscCheck(blocks >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have nonegative blocks"); 442 PetscTryMethod(pc, "PCBJacobiSetLocalBlocks_C", (PC, PetscInt, const PetscInt[]), (pc, blocks, lens)); 443 PetscFunctionReturn(PETSC_SUCCESS); 444 } 445 446 /*@C 447 PCBJacobiGetLocalBlocks - Gets the local number of blocks for the block 448 Jacobi, `PCBJACOBI`, preconditioner. 449 450 Not Collective 451 452 Input Parameters: 453 + pc - the preconditioner context 454 . blocks - the number of blocks 455 - lens - [optional] integer array containing size of each block 456 457 Level: intermediate 458 459 Note: 460 Currently only a limited number of blocking configurations are supported. 461 462 .seealso: [](ch_ksp), `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiGetTotalBlocks()` 463 @*/ 464 PetscErrorCode PCBJacobiGetLocalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 465 { 466 PetscFunctionBegin; 467 PetscValidHeaderSpecific(pc, PC_CLASSID, 1); 468 PetscAssertPointer(blocks, 2); 469 PetscUseMethod(pc, "PCBJacobiGetLocalBlocks_C", (PC, PetscInt *, const PetscInt *[]), (pc, blocks, lens)); 470 PetscFunctionReturn(PETSC_SUCCESS); 471 } 472 473 /*MC 474 PCBJACOBI - Use block Jacobi preconditioning, each block is (approximately) solved with 475 its own `KSP` object. 476 477 Options Database Keys: 478 + -pc_use_amat - use Amat to apply block of operator in inner Krylov method 479 - -pc_bjacobi_blocks <n> - use n total blocks 480 481 Level: beginner 482 483 Notes: 484 See `PCJACOBI` for diagonal Jacobi, `PCVPBJACOBI` for variable point block, and `PCPBJACOBI` for fixed size point block 485 486 Each processor can have one or more blocks, or a single block can be shared by several processes. Defaults to one block per processor. 487 488 To set options on the solvers for each block append -sub_ to all the `KSP` and `PC` 489 options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly 490 491 To set the options on the solvers separate for each block call `PCBJacobiGetSubKSP()` 492 and set the options directly on the resulting `KSP` object (you can access its `PC` 493 `KSPGetPC()`) 494 495 For GPU-based vectors (`VECCUDA`, `VECViennaCL`) it is recommended to use exactly one block per MPI process for best 496 performance. Different block partitioning may lead to additional data transfers 497 between host and GPU that lead to degraded performance. 498 499 When multiple processes share a single block, each block encompasses exactly all the unknowns owned its set of processes. 500 501 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCType`, 502 `PCASM`, `PCSetUseAmat()`, `PCGetUseAmat()`, `PCBJacobiGetSubKSP()`, `PCBJacobiSetTotalBlocks()`, 503 `PCBJacobiSetLocalBlocks()`, `PCSetModifySubMatrices()`, `PCJACOBI`, `PCVPBJACOBI`, `PCPBJACOBI` 504 M*/ 505 506 PETSC_EXTERN PetscErrorCode PCCreate_BJacobi(PC pc) 507 { 508 PetscMPIInt rank; 509 PC_BJacobi *jac; 510 511 PetscFunctionBegin; 512 PetscCall(PetscNew(&jac)); 513 PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank)); 514 515 pc->ops->apply = NULL; 516 pc->ops->matapply = NULL; 517 pc->ops->applytranspose = NULL; 518 pc->ops->matapplytranspose = NULL; 519 pc->ops->setup = PCSetUp_BJacobi; 520 pc->ops->destroy = PCDestroy_BJacobi; 521 pc->ops->setfromoptions = PCSetFromOptions_BJacobi; 522 pc->ops->view = PCView_BJacobi; 523 pc->ops->applyrichardson = NULL; 524 525 pc->data = (void *)jac; 526 jac->n = -1; 527 jac->n_local = -1; 528 jac->first_local = rank; 529 jac->ksp = NULL; 530 jac->g_lens = NULL; 531 jac->l_lens = NULL; 532 jac->psubcomm = NULL; 533 534 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetSubKSP_C", PCBJacobiGetSubKSP_BJacobi)); 535 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetTotalBlocks_C", PCBJacobiSetTotalBlocks_BJacobi)); 536 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetTotalBlocks_C", PCBJacobiGetTotalBlocks_BJacobi)); 537 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetLocalBlocks_C", PCBJacobiSetLocalBlocks_BJacobi)); 538 PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetLocalBlocks_C", PCBJacobiGetLocalBlocks_BJacobi)); 539 PetscFunctionReturn(PETSC_SUCCESS); 540 } 541 542 /* 543 These are for a single block per processor; works for AIJ, BAIJ; Seq and MPI 544 */ 545 static PetscErrorCode PCReset_BJacobi_Singleblock(PC pc) 546 { 547 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 548 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 549 550 PetscFunctionBegin; 551 PetscCall(KSPReset(jac->ksp[0])); 552 PetscCall(VecDestroy(&bjac->x)); 553 PetscCall(VecDestroy(&bjac->y)); 554 PetscFunctionReturn(PETSC_SUCCESS); 555 } 556 557 static PetscErrorCode PCDestroy_BJacobi_Singleblock(PC pc) 558 { 559 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 560 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 561 562 PetscFunctionBegin; 563 PetscCall(PCReset_BJacobi_Singleblock(pc)); 564 PetscCall(KSPDestroy(&jac->ksp[0])); 565 PetscCall(PetscFree(jac->ksp)); 566 PetscCall(PetscFree(bjac)); 567 PetscCall(PCDestroy_BJacobi(pc)); 568 PetscFunctionReturn(PETSC_SUCCESS); 569 } 570 571 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Singleblock(PC pc) 572 { 573 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 574 KSP subksp = jac->ksp[0]; 575 KSPConvergedReason reason; 576 577 PetscFunctionBegin; 578 PetscCall(KSPSetUp(subksp)); 579 PetscCall(KSPGetConvergedReason(subksp, &reason)); 580 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 581 PetscFunctionReturn(PETSC_SUCCESS); 582 } 583 584 static PetscErrorCode PCApply_BJacobi_Singleblock(PC pc, Vec x, Vec y) 585 { 586 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 587 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 588 589 PetscFunctionBegin; 590 PetscCall(VecGetLocalVectorRead(x, bjac->x)); 591 PetscCall(VecGetLocalVector(y, bjac->y)); 592 /* Since the inner KSP matrix may point directly to the diagonal block of an MPI matrix the inner 593 matrix may change even if the outer KSP/PC has not updated the preconditioner, this will trigger a rebuild 594 of the inner preconditioner automatically unless we pass down the outer preconditioners reuse flag.*/ 595 PetscCall(KSPSetReusePreconditioner(jac->ksp[0], pc->reusepreconditioner)); 596 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], bjac->x, bjac->y, 0)); 597 PetscCall(KSPSolve(jac->ksp[0], bjac->x, bjac->y)); 598 PetscCall(KSPCheckSolve(jac->ksp[0], pc, bjac->y)); 599 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], bjac->x, bjac->y, 0)); 600 PetscCall(VecRestoreLocalVectorRead(x, bjac->x)); 601 PetscCall(VecRestoreLocalVector(y, bjac->y)); 602 PetscFunctionReturn(PETSC_SUCCESS); 603 } 604 605 static PetscErrorCode PCMatApply_BJacobi_Singleblock_Private(PC pc, Mat X, Mat Y, PetscBool transpose) 606 { 607 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 608 Mat sX, sY; 609 610 PetscFunctionBegin; 611 /* Since the inner KSP matrix may point directly to the diagonal block of an MPI matrix the inner 612 matrix may change even if the outer KSP/PC has not updated the preconditioner, this will trigger a rebuild 613 of the inner preconditioner automatically unless we pass down the outer preconditioners reuse flag.*/ 614 PetscCall(KSPSetReusePreconditioner(jac->ksp[0], pc->reusepreconditioner)); 615 PetscCall(MatDenseGetLocalMatrix(X, &sX)); 616 PetscCall(MatDenseGetLocalMatrix(Y, &sY)); 617 if (!transpose) { 618 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], sX, sY, 0)); 619 PetscCall(KSPMatSolve(jac->ksp[0], sX, sY)); 620 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], sX, sY, 0)); 621 } else { 622 PetscCall(PetscLogEventBegin(PC_ApplyTransposeOnBlocks, jac->ksp[0], sX, sY, 0)); 623 PetscCall(KSPMatSolveTranspose(jac->ksp[0], sX, sY)); 624 PetscCall(PetscLogEventEnd(PC_ApplyTransposeOnBlocks, jac->ksp[0], sX, sY, 0)); 625 } 626 PetscFunctionReturn(PETSC_SUCCESS); 627 } 628 629 static PetscErrorCode PCMatApply_BJacobi_Singleblock(PC pc, Mat X, Mat Y) 630 { 631 PetscFunctionBegin; 632 PetscCall(PCMatApply_BJacobi_Singleblock_Private(pc, X, Y, PETSC_FALSE)); 633 PetscFunctionReturn(PETSC_SUCCESS); 634 } 635 636 static PetscErrorCode PCMatApplyTranspose_BJacobi_Singleblock(PC pc, Mat X, Mat Y) 637 { 638 PetscFunctionBegin; 639 PetscCall(PCMatApply_BJacobi_Singleblock_Private(pc, X, Y, PETSC_TRUE)); 640 PetscFunctionReturn(PETSC_SUCCESS); 641 } 642 643 static PetscErrorCode PCApplySymmetricLeft_BJacobi_Singleblock(PC pc, Vec x, Vec y) 644 { 645 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 646 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 647 PetscScalar *y_array; 648 const PetscScalar *x_array; 649 PC subpc; 650 651 PetscFunctionBegin; 652 /* 653 The VecPlaceArray() is to avoid having to copy the 654 y vector into the bjac->x vector. The reason for 655 the bjac->x vector is that we need a sequential vector 656 for the sequential solve. 657 */ 658 PetscCall(VecGetArrayRead(x, &x_array)); 659 PetscCall(VecGetArray(y, &y_array)); 660 PetscCall(VecPlaceArray(bjac->x, x_array)); 661 PetscCall(VecPlaceArray(bjac->y, y_array)); 662 /* apply the symmetric left portion of the inner PC operator */ 663 /* note this bypasses the inner KSP and its options completely */ 664 PetscCall(KSPGetPC(jac->ksp[0], &subpc)); 665 PetscCall(PCApplySymmetricLeft(subpc, bjac->x, bjac->y)); 666 PetscCall(VecResetArray(bjac->x)); 667 PetscCall(VecResetArray(bjac->y)); 668 PetscCall(VecRestoreArrayRead(x, &x_array)); 669 PetscCall(VecRestoreArray(y, &y_array)); 670 PetscFunctionReturn(PETSC_SUCCESS); 671 } 672 673 static PetscErrorCode PCApplySymmetricRight_BJacobi_Singleblock(PC pc, Vec x, Vec y) 674 { 675 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 676 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 677 PetscScalar *y_array; 678 const PetscScalar *x_array; 679 PC subpc; 680 681 PetscFunctionBegin; 682 /* 683 The VecPlaceArray() is to avoid having to copy the 684 y vector into the bjac->x vector. The reason for 685 the bjac->x vector is that we need a sequential vector 686 for the sequential solve. 687 */ 688 PetscCall(VecGetArrayRead(x, &x_array)); 689 PetscCall(VecGetArray(y, &y_array)); 690 PetscCall(VecPlaceArray(bjac->x, x_array)); 691 PetscCall(VecPlaceArray(bjac->y, y_array)); 692 693 /* apply the symmetric right portion of the inner PC operator */ 694 /* note this bypasses the inner KSP and its options completely */ 695 696 PetscCall(KSPGetPC(jac->ksp[0], &subpc)); 697 PetscCall(PCApplySymmetricRight(subpc, bjac->x, bjac->y)); 698 699 PetscCall(VecResetArray(bjac->x)); 700 PetscCall(VecResetArray(bjac->y)); 701 PetscCall(VecRestoreArrayRead(x, &x_array)); 702 PetscCall(VecRestoreArray(y, &y_array)); 703 PetscFunctionReturn(PETSC_SUCCESS); 704 } 705 706 static PetscErrorCode PCApplyTranspose_BJacobi_Singleblock(PC pc, Vec x, Vec y) 707 { 708 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 709 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data; 710 PetscScalar *y_array; 711 const PetscScalar *x_array; 712 713 PetscFunctionBegin; 714 /* 715 The VecPlaceArray() is to avoid having to copy the 716 y vector into the bjac->x vector. The reason for 717 the bjac->x vector is that we need a sequential vector 718 for the sequential solve. 719 */ 720 PetscCall(VecGetArrayRead(x, &x_array)); 721 PetscCall(VecGetArray(y, &y_array)); 722 PetscCall(VecPlaceArray(bjac->x, x_array)); 723 PetscCall(VecPlaceArray(bjac->y, y_array)); 724 PetscCall(PetscLogEventBegin(PC_ApplyTransposeOnBlocks, jac->ksp[0], bjac->x, bjac->y, 0)); 725 PetscCall(KSPSolveTranspose(jac->ksp[0], bjac->x, bjac->y)); 726 PetscCall(KSPCheckSolve(jac->ksp[0], pc, bjac->y)); 727 PetscCall(PetscLogEventEnd(PC_ApplyTransposeOnBlocks, jac->ksp[0], bjac->x, bjac->y, 0)); 728 PetscCall(VecResetArray(bjac->x)); 729 PetscCall(VecResetArray(bjac->y)); 730 PetscCall(VecRestoreArrayRead(x, &x_array)); 731 PetscCall(VecRestoreArray(y, &y_array)); 732 PetscFunctionReturn(PETSC_SUCCESS); 733 } 734 735 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC pc, Mat mat, Mat pmat) 736 { 737 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 738 PetscInt m; 739 KSP ksp; 740 PC_BJacobi_Singleblock *bjac; 741 PetscBool wasSetup = PETSC_TRUE; 742 VecType vectype; 743 const char *prefix; 744 745 PetscFunctionBegin; 746 if (!pc->setupcalled) { 747 if (!jac->ksp) { 748 PetscInt nestlevel; 749 750 wasSetup = PETSC_FALSE; 751 752 PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp)); 753 PetscCall(PCGetKSPNestLevel(pc, &nestlevel)); 754 PetscCall(KSPSetNestLevel(ksp, nestlevel + 1)); 755 PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure)); 756 PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1)); 757 PetscCall(KSPSetType(ksp, KSPPREONLY)); 758 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 759 PetscCall(KSPSetOptionsPrefix(ksp, prefix)); 760 PetscCall(KSPAppendOptionsPrefix(ksp, "sub_")); 761 762 pc->ops->reset = PCReset_BJacobi_Singleblock; 763 pc->ops->destroy = PCDestroy_BJacobi_Singleblock; 764 pc->ops->apply = PCApply_BJacobi_Singleblock; 765 pc->ops->matapply = PCMatApply_BJacobi_Singleblock; 766 pc->ops->matapplytranspose = PCMatApplyTranspose_BJacobi_Singleblock; 767 pc->ops->applysymmetricleft = PCApplySymmetricLeft_BJacobi_Singleblock; 768 pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Singleblock; 769 pc->ops->applytranspose = PCApplyTranspose_BJacobi_Singleblock; 770 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Singleblock; 771 772 PetscCall(PetscMalloc1(1, &jac->ksp)); 773 jac->ksp[0] = ksp; 774 775 PetscCall(PetscNew(&bjac)); 776 jac->data = (void *)bjac; 777 } else { 778 ksp = jac->ksp[0]; 779 bjac = (PC_BJacobi_Singleblock *)jac->data; 780 } 781 782 /* 783 The reason we need to generate these vectors is to serve 784 as the right-hand side and solution vector for the solve on the 785 block. We do not need to allocate space for the vectors since 786 that is provided via VecPlaceArray() just before the call to 787 KSPSolve() on the block. 788 */ 789 PetscCall(MatGetSize(pmat, &m, &m)); 790 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &bjac->x)); 791 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &bjac->y)); 792 PetscCall(MatGetVecType(pmat, &vectype)); 793 PetscCall(VecSetType(bjac->x, vectype)); 794 PetscCall(VecSetType(bjac->y, vectype)); 795 } else { 796 ksp = jac->ksp[0]; 797 bjac = (PC_BJacobi_Singleblock *)jac->data; 798 } 799 PetscCall(KSPGetOptionsPrefix(ksp, &prefix)); 800 if (pc->useAmat) { 801 PetscCall(KSPSetOperators(ksp, mat, pmat)); 802 PetscCall(MatSetOptionsPrefix(mat, prefix)); 803 } else { 804 PetscCall(KSPSetOperators(ksp, pmat, pmat)); 805 } 806 PetscCall(MatSetOptionsPrefix(pmat, prefix)); 807 if (!wasSetup && pc->setfromoptionscalled) { 808 /* If PCSetFromOptions_BJacobi is called later, KSPSetFromOptions will be called at that time. */ 809 PetscCall(KSPSetFromOptions(ksp)); 810 } 811 PetscFunctionReturn(PETSC_SUCCESS); 812 } 813 814 static PetscErrorCode PCReset_BJacobi_Multiblock(PC pc) 815 { 816 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 817 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 818 PetscInt i; 819 820 PetscFunctionBegin; 821 if (bjac && bjac->pmat) { 822 PetscCall(MatDestroyMatrices(jac->n_local, &bjac->pmat)); 823 if (pc->useAmat) PetscCall(MatDestroyMatrices(jac->n_local, &bjac->mat)); 824 } 825 826 for (i = 0; i < jac->n_local; i++) { 827 PetscCall(KSPReset(jac->ksp[i])); 828 if (bjac && bjac->x) { 829 PetscCall(VecDestroy(&bjac->x[i])); 830 PetscCall(VecDestroy(&bjac->y[i])); 831 PetscCall(ISDestroy(&bjac->is[i])); 832 } 833 } 834 PetscCall(PetscFree(jac->l_lens)); 835 PetscCall(PetscFree(jac->g_lens)); 836 PetscFunctionReturn(PETSC_SUCCESS); 837 } 838 839 static PetscErrorCode PCDestroy_BJacobi_Multiblock(PC pc) 840 { 841 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 842 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 843 PetscInt i; 844 845 PetscFunctionBegin; 846 PetscCall(PCReset_BJacobi_Multiblock(pc)); 847 if (bjac) { 848 PetscCall(PetscFree2(bjac->x, bjac->y)); 849 PetscCall(PetscFree(bjac->starts)); 850 PetscCall(PetscFree(bjac->is)); 851 } 852 PetscCall(PetscFree(jac->data)); 853 for (i = 0; i < jac->n_local; i++) PetscCall(KSPDestroy(&jac->ksp[i])); 854 PetscCall(PetscFree(jac->ksp)); 855 PetscCall(PCDestroy_BJacobi(pc)); 856 PetscFunctionReturn(PETSC_SUCCESS); 857 } 858 859 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiblock(PC pc) 860 { 861 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 862 PetscInt i, n_local = jac->n_local; 863 KSPConvergedReason reason; 864 865 PetscFunctionBegin; 866 for (i = 0; i < n_local; i++) { 867 PetscCall(KSPSetUp(jac->ksp[i])); 868 PetscCall(KSPGetConvergedReason(jac->ksp[i], &reason)); 869 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 870 } 871 PetscFunctionReturn(PETSC_SUCCESS); 872 } 873 874 static PetscErrorCode PCApply_BJacobi_Multiblock(PC pc, Vec x, Vec y) 875 { 876 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 877 PetscInt i, n_local = jac->n_local; 878 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 879 PetscScalar *yin; 880 const PetscScalar *xin; 881 882 PetscFunctionBegin; 883 PetscCall(VecGetArrayRead(x, &xin)); 884 PetscCall(VecGetArray(y, &yin)); 885 for (i = 0; i < n_local; i++) { 886 /* 887 To avoid copying the subvector from x into a workspace we instead 888 make the workspace vector array point to the subpart of the array of 889 the global vector. 890 */ 891 PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i])); 892 PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i])); 893 894 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 895 PetscCall(KSPSolve(jac->ksp[i], bjac->x[i], bjac->y[i])); 896 PetscCall(KSPCheckSolve(jac->ksp[i], pc, bjac->y[i])); 897 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 898 899 PetscCall(VecResetArray(bjac->x[i])); 900 PetscCall(VecResetArray(bjac->y[i])); 901 } 902 PetscCall(VecRestoreArrayRead(x, &xin)); 903 PetscCall(VecRestoreArray(y, &yin)); 904 PetscFunctionReturn(PETSC_SUCCESS); 905 } 906 907 static PetscErrorCode PCApplySymmetricLeft_BJacobi_Multiblock(PC pc, Vec x, Vec y) 908 { 909 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 910 PetscInt i, n_local = jac->n_local; 911 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 912 PetscScalar *yin; 913 const PetscScalar *xin; 914 PC subpc; 915 916 PetscFunctionBegin; 917 PetscCall(VecGetArrayRead(x, &xin)); 918 PetscCall(VecGetArray(y, &yin)); 919 for (i = 0; i < n_local; i++) { 920 /* 921 To avoid copying the subvector from x into a workspace we instead 922 make the workspace vector array point to the subpart of the array of 923 the global vector. 924 */ 925 PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i])); 926 PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i])); 927 928 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 929 /* apply the symmetric left portion of the inner PC operator */ 930 /* note this bypasses the inner KSP and its options completely */ 931 PetscCall(KSPGetPC(jac->ksp[i], &subpc)); 932 PetscCall(PCApplySymmetricLeft(subpc, bjac->x[i], bjac->y[i])); 933 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 934 935 PetscCall(VecResetArray(bjac->x[i])); 936 PetscCall(VecResetArray(bjac->y[i])); 937 } 938 PetscCall(VecRestoreArrayRead(x, &xin)); 939 PetscCall(VecRestoreArray(y, &yin)); 940 PetscFunctionReturn(PETSC_SUCCESS); 941 } 942 943 static PetscErrorCode PCApplySymmetricRight_BJacobi_Multiblock(PC pc, Vec x, Vec y) 944 { 945 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 946 PetscInt i, n_local = jac->n_local; 947 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 948 PetscScalar *yin; 949 const PetscScalar *xin; 950 PC subpc; 951 952 PetscFunctionBegin; 953 PetscCall(VecGetArrayRead(x, &xin)); 954 PetscCall(VecGetArray(y, &yin)); 955 for (i = 0; i < n_local; i++) { 956 /* 957 To avoid copying the subvector from x into a workspace we instead 958 make the workspace vector array point to the subpart of the array of 959 the global vector. 960 */ 961 PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i])); 962 PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i])); 963 964 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 965 /* apply the symmetric left portion of the inner PC operator */ 966 /* note this bypasses the inner KSP and its options completely */ 967 PetscCall(KSPGetPC(jac->ksp[i], &subpc)); 968 PetscCall(PCApplySymmetricRight(subpc, bjac->x[i], bjac->y[i])); 969 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 970 971 PetscCall(VecResetArray(bjac->x[i])); 972 PetscCall(VecResetArray(bjac->y[i])); 973 } 974 PetscCall(VecRestoreArrayRead(x, &xin)); 975 PetscCall(VecRestoreArray(y, &yin)); 976 PetscFunctionReturn(PETSC_SUCCESS); 977 } 978 979 static PetscErrorCode PCApplyTranspose_BJacobi_Multiblock(PC pc, Vec x, Vec y) 980 { 981 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 982 PetscInt i, n_local = jac->n_local; 983 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 984 PetscScalar *yin; 985 const PetscScalar *xin; 986 987 PetscFunctionBegin; 988 PetscCall(VecGetArrayRead(x, &xin)); 989 PetscCall(VecGetArray(y, &yin)); 990 for (i = 0; i < n_local; i++) { 991 /* 992 To avoid copying the subvector from x into a workspace we instead 993 make the workspace vector array point to the subpart of the array of 994 the global vector. 995 */ 996 PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i])); 997 PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i])); 998 999 PetscCall(PetscLogEventBegin(PC_ApplyTransposeOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 1000 PetscCall(KSPSolveTranspose(jac->ksp[i], bjac->x[i], bjac->y[i])); 1001 PetscCall(KSPCheckSolve(jac->ksp[i], pc, bjac->y[i])); 1002 PetscCall(PetscLogEventEnd(PC_ApplyTransposeOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0)); 1003 1004 PetscCall(VecResetArray(bjac->x[i])); 1005 PetscCall(VecResetArray(bjac->y[i])); 1006 } 1007 PetscCall(VecRestoreArrayRead(x, &xin)); 1008 PetscCall(VecRestoreArray(y, &yin)); 1009 PetscFunctionReturn(PETSC_SUCCESS); 1010 } 1011 1012 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC pc, Mat mat, Mat pmat) 1013 { 1014 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1015 PetscInt m, n_local, N, M, start, i; 1016 const char *prefix; 1017 KSP ksp; 1018 Vec x, y; 1019 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data; 1020 PC subpc; 1021 IS is; 1022 MatReuse scall; 1023 VecType vectype; 1024 MatNullSpace *nullsp_mat = NULL, *nullsp_pmat = NULL; 1025 1026 PetscFunctionBegin; 1027 PetscCall(MatGetLocalSize(pc->pmat, &M, &N)); 1028 1029 n_local = jac->n_local; 1030 1031 if (pc->useAmat) { 1032 PetscBool same; 1033 PetscCall(PetscObjectTypeCompare((PetscObject)mat, ((PetscObject)pmat)->type_name, &same)); 1034 PetscCheck(same, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_INCOMP, "Matrices not of same type"); 1035 } 1036 1037 if (!pc->setupcalled) { 1038 PetscInt nestlevel; 1039 1040 scall = MAT_INITIAL_MATRIX; 1041 1042 if (!jac->ksp) { 1043 pc->ops->reset = PCReset_BJacobi_Multiblock; 1044 pc->ops->destroy = PCDestroy_BJacobi_Multiblock; 1045 pc->ops->apply = PCApply_BJacobi_Multiblock; 1046 pc->ops->matapply = NULL; 1047 pc->ops->matapplytranspose = NULL; 1048 pc->ops->applysymmetricleft = PCApplySymmetricLeft_BJacobi_Multiblock; 1049 pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Multiblock; 1050 pc->ops->applytranspose = PCApplyTranspose_BJacobi_Multiblock; 1051 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiblock; 1052 1053 PetscCall(PetscNew(&bjac)); 1054 PetscCall(PetscMalloc1(n_local, &jac->ksp)); 1055 PetscCall(PetscMalloc2(n_local, &bjac->x, n_local, &bjac->y)); 1056 PetscCall(PetscMalloc1(n_local, &bjac->starts)); 1057 1058 jac->data = (void *)bjac; 1059 PetscCall(PetscMalloc1(n_local, &bjac->is)); 1060 1061 for (i = 0; i < n_local; i++) { 1062 PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp)); 1063 PetscCall(PCGetKSPNestLevel(pc, &nestlevel)); 1064 PetscCall(KSPSetNestLevel(ksp, nestlevel + 1)); 1065 PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure)); 1066 PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1)); 1067 PetscCall(KSPSetType(ksp, KSPPREONLY)); 1068 PetscCall(KSPGetPC(ksp, &subpc)); 1069 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 1070 PetscCall(KSPSetOptionsPrefix(ksp, prefix)); 1071 PetscCall(KSPAppendOptionsPrefix(ksp, "sub_")); 1072 1073 jac->ksp[i] = ksp; 1074 } 1075 } else { 1076 bjac = (PC_BJacobi_Multiblock *)jac->data; 1077 } 1078 1079 start = 0; 1080 PetscCall(MatGetVecType(pmat, &vectype)); 1081 for (i = 0; i < n_local; i++) { 1082 m = jac->l_lens[i]; 1083 /* 1084 The reason we need to generate these vectors is to serve 1085 as the right-hand side and solution vector for the solve on the 1086 block. We do not need to allocate space for the vectors since 1087 that is provided via VecPlaceArray() just before the call to 1088 KSPSolve() on the block. 1089 1090 */ 1091 PetscCall(VecCreateSeq(PETSC_COMM_SELF, m, &x)); 1092 PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &y)); 1093 PetscCall(VecSetType(x, vectype)); 1094 PetscCall(VecSetType(y, vectype)); 1095 1096 bjac->x[i] = x; 1097 bjac->y[i] = y; 1098 bjac->starts[i] = start; 1099 1100 PetscCall(ISCreateStride(PETSC_COMM_SELF, m, start, 1, &is)); 1101 bjac->is[i] = is; 1102 1103 start += m; 1104 } 1105 } else { 1106 bjac = (PC_BJacobi_Multiblock *)jac->data; 1107 /* 1108 Destroy the blocks from the previous iteration 1109 */ 1110 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1111 PetscCall(MatGetNullSpaces(n_local, bjac->pmat, &nullsp_pmat)); 1112 PetscCall(MatDestroyMatrices(n_local, &bjac->pmat)); 1113 if (pc->useAmat) { 1114 PetscCall(MatGetNullSpaces(n_local, bjac->mat, &nullsp_mat)); 1115 PetscCall(MatDestroyMatrices(n_local, &bjac->mat)); 1116 } 1117 scall = MAT_INITIAL_MATRIX; 1118 } else scall = MAT_REUSE_MATRIX; 1119 } 1120 1121 PetscCall(MatCreateSubMatrices(pmat, n_local, bjac->is, bjac->is, scall, &bjac->pmat)); 1122 if (nullsp_pmat) PetscCall(MatRestoreNullSpaces(n_local, bjac->pmat, &nullsp_pmat)); 1123 if (pc->useAmat) { 1124 PetscCall(MatCreateSubMatrices(mat, n_local, bjac->is, bjac->is, scall, &bjac->mat)); 1125 if (nullsp_mat) PetscCall(MatRestoreNullSpaces(n_local, bjac->mat, &nullsp_mat)); 1126 } 1127 /* Return control to the user so that the submatrices can be modified (e.g., to apply 1128 different boundary conditions for the submatrices than for the global problem) */ 1129 PetscCall(PCModifySubMatrices(pc, n_local, bjac->is, bjac->is, bjac->pmat, pc->modifysubmatricesP)); 1130 1131 for (i = 0; i < n_local; i++) { 1132 PetscCall(KSPGetOptionsPrefix(jac->ksp[i], &prefix)); 1133 if (pc->useAmat) { 1134 PetscCall(KSPSetOperators(jac->ksp[i], bjac->mat[i], bjac->pmat[i])); 1135 PetscCall(MatSetOptionsPrefix(bjac->mat[i], prefix)); 1136 } else { 1137 PetscCall(KSPSetOperators(jac->ksp[i], bjac->pmat[i], bjac->pmat[i])); 1138 } 1139 PetscCall(MatSetOptionsPrefix(bjac->pmat[i], prefix)); 1140 if (pc->setfromoptionscalled) PetscCall(KSPSetFromOptions(jac->ksp[i])); 1141 } 1142 PetscFunctionReturn(PETSC_SUCCESS); 1143 } 1144 1145 /* 1146 These are for a single block with multiple processes 1147 */ 1148 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiproc(PC pc) 1149 { 1150 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1151 KSP subksp = jac->ksp[0]; 1152 KSPConvergedReason reason; 1153 1154 PetscFunctionBegin; 1155 PetscCall(KSPSetUp(subksp)); 1156 PetscCall(KSPGetConvergedReason(subksp, &reason)); 1157 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 1158 PetscFunctionReturn(PETSC_SUCCESS); 1159 } 1160 1161 static PetscErrorCode PCReset_BJacobi_Multiproc(PC pc) 1162 { 1163 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1164 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data; 1165 1166 PetscFunctionBegin; 1167 PetscCall(VecDestroy(&mpjac->ysub)); 1168 PetscCall(VecDestroy(&mpjac->xsub)); 1169 PetscCall(MatDestroy(&mpjac->submats)); 1170 if (jac->ksp) PetscCall(KSPReset(jac->ksp[0])); 1171 PetscFunctionReturn(PETSC_SUCCESS); 1172 } 1173 1174 static PetscErrorCode PCDestroy_BJacobi_Multiproc(PC pc) 1175 { 1176 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1177 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data; 1178 1179 PetscFunctionBegin; 1180 PetscCall(PCReset_BJacobi_Multiproc(pc)); 1181 PetscCall(KSPDestroy(&jac->ksp[0])); 1182 PetscCall(PetscFree(jac->ksp)); 1183 PetscCall(PetscSubcommDestroy(&mpjac->psubcomm)); 1184 1185 PetscCall(PetscFree(mpjac)); 1186 PetscCall(PCDestroy_BJacobi(pc)); 1187 PetscFunctionReturn(PETSC_SUCCESS); 1188 } 1189 1190 static PetscErrorCode PCApply_BJacobi_Multiproc(PC pc, Vec x, Vec y) 1191 { 1192 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1193 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data; 1194 PetscScalar *yarray; 1195 const PetscScalar *xarray; 1196 KSPConvergedReason reason; 1197 1198 PetscFunctionBegin; 1199 /* place x's and y's local arrays into xsub and ysub */ 1200 PetscCall(VecGetArrayRead(x, &xarray)); 1201 PetscCall(VecGetArray(y, &yarray)); 1202 PetscCall(VecPlaceArray(mpjac->xsub, xarray)); 1203 PetscCall(VecPlaceArray(mpjac->ysub, yarray)); 1204 1205 /* apply preconditioner on each matrix block */ 1206 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], mpjac->xsub, mpjac->ysub, 0)); 1207 PetscCall(KSPSolve(jac->ksp[0], mpjac->xsub, mpjac->ysub)); 1208 PetscCall(KSPCheckSolve(jac->ksp[0], pc, mpjac->ysub)); 1209 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], mpjac->xsub, mpjac->ysub, 0)); 1210 PetscCall(KSPGetConvergedReason(jac->ksp[0], &reason)); 1211 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 1212 1213 PetscCall(VecResetArray(mpjac->xsub)); 1214 PetscCall(VecResetArray(mpjac->ysub)); 1215 PetscCall(VecRestoreArrayRead(x, &xarray)); 1216 PetscCall(VecRestoreArray(y, &yarray)); 1217 PetscFunctionReturn(PETSC_SUCCESS); 1218 } 1219 1220 static PetscErrorCode PCMatApply_BJacobi_Multiproc(PC pc, Mat X, Mat Y) 1221 { 1222 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1223 KSPConvergedReason reason; 1224 Mat sX, sY; 1225 const PetscScalar *x; 1226 PetscScalar *y; 1227 PetscInt m, N, lda, ldb; 1228 1229 PetscFunctionBegin; 1230 /* apply preconditioner on each matrix block */ 1231 PetscCall(MatGetLocalSize(X, &m, NULL)); 1232 PetscCall(MatGetSize(X, NULL, &N)); 1233 PetscCall(MatDenseGetLDA(X, &lda)); 1234 PetscCall(MatDenseGetLDA(Y, &ldb)); 1235 PetscCall(MatDenseGetArrayRead(X, &x)); 1236 PetscCall(MatDenseGetArrayWrite(Y, &y)); 1237 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)jac->ksp[0]), m, PETSC_DECIDE, PETSC_DECIDE, N, (PetscScalar *)x, &sX)); 1238 PetscCall(MatCreateDense(PetscObjectComm((PetscObject)jac->ksp[0]), m, PETSC_DECIDE, PETSC_DECIDE, N, y, &sY)); 1239 PetscCall(MatDenseSetLDA(sX, lda)); 1240 PetscCall(MatDenseSetLDA(sY, ldb)); 1241 PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], X, Y, 0)); 1242 PetscCall(KSPMatSolve(jac->ksp[0], sX, sY)); 1243 PetscCall(KSPCheckSolve(jac->ksp[0], pc, NULL)); 1244 PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], X, Y, 0)); 1245 PetscCall(MatDestroy(&sY)); 1246 PetscCall(MatDestroy(&sX)); 1247 PetscCall(MatDenseRestoreArrayWrite(Y, &y)); 1248 PetscCall(MatDenseRestoreArrayRead(X, &x)); 1249 PetscCall(KSPGetConvergedReason(jac->ksp[0], &reason)); 1250 if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR; 1251 PetscFunctionReturn(PETSC_SUCCESS); 1252 } 1253 1254 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC pc) 1255 { 1256 PC_BJacobi *jac = (PC_BJacobi *)pc->data; 1257 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data; 1258 PetscInt m, n; 1259 MPI_Comm comm, subcomm = 0; 1260 const char *prefix; 1261 PetscBool wasSetup = PETSC_TRUE; 1262 VecType vectype; 1263 1264 PetscFunctionBegin; 1265 PetscCall(PetscObjectGetComm((PetscObject)pc, &comm)); 1266 PetscCheck(jac->n_local <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only a single block in a subcommunicator is supported"); 1267 jac->n_local = 1; /* currently only a single block is supported for a subcommunicator */ 1268 if (!pc->setupcalled) { 1269 PetscInt nestlevel; 1270 1271 wasSetup = PETSC_FALSE; 1272 PetscCall(PetscNew(&mpjac)); 1273 jac->data = (void *)mpjac; 1274 1275 /* initialize datastructure mpjac */ 1276 if (!jac->psubcomm) { 1277 /* Create default contiguous subcommunicatiors if user does not provide them */ 1278 PetscCall(PetscSubcommCreate(comm, &jac->psubcomm)); 1279 PetscCall(PetscSubcommSetNumber(jac->psubcomm, jac->n)); 1280 PetscCall(PetscSubcommSetType(jac->psubcomm, PETSC_SUBCOMM_CONTIGUOUS)); 1281 } 1282 mpjac->psubcomm = jac->psubcomm; 1283 subcomm = PetscSubcommChild(mpjac->psubcomm); 1284 1285 /* Get matrix blocks of pmat */ 1286 PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_INITIAL_MATRIX, &mpjac->submats)); 1287 1288 /* create a new PC that processors in each subcomm have copy of */ 1289 PetscCall(PetscMalloc1(1, &jac->ksp)); 1290 PetscCall(KSPCreate(subcomm, &jac->ksp[0])); 1291 PetscCall(PCGetKSPNestLevel(pc, &nestlevel)); 1292 PetscCall(KSPSetNestLevel(jac->ksp[0], nestlevel + 1)); 1293 PetscCall(KSPSetErrorIfNotConverged(jac->ksp[0], pc->erroriffailure)); 1294 PetscCall(PetscObjectIncrementTabLevel((PetscObject)jac->ksp[0], (PetscObject)pc, 1)); 1295 PetscCall(KSPSetOperators(jac->ksp[0], mpjac->submats, mpjac->submats)); 1296 PetscCall(KSPGetPC(jac->ksp[0], &mpjac->pc)); 1297 1298 PetscCall(PCGetOptionsPrefix(pc, &prefix)); 1299 PetscCall(KSPSetOptionsPrefix(jac->ksp[0], prefix)); 1300 PetscCall(KSPAppendOptionsPrefix(jac->ksp[0], "sub_")); 1301 PetscCall(KSPGetOptionsPrefix(jac->ksp[0], &prefix)); 1302 PetscCall(MatSetOptionsPrefix(mpjac->submats, prefix)); 1303 1304 /* create dummy vectors xsub and ysub */ 1305 PetscCall(MatGetLocalSize(mpjac->submats, &m, &n)); 1306 PetscCall(VecCreateMPIWithArray(subcomm, 1, n, PETSC_DECIDE, NULL, &mpjac->xsub)); 1307 PetscCall(VecCreateMPIWithArray(subcomm, 1, m, PETSC_DECIDE, NULL, &mpjac->ysub)); 1308 PetscCall(MatGetVecType(mpjac->submats, &vectype)); 1309 PetscCall(VecSetType(mpjac->xsub, vectype)); 1310 PetscCall(VecSetType(mpjac->ysub, vectype)); 1311 1312 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiproc; 1313 pc->ops->reset = PCReset_BJacobi_Multiproc; 1314 pc->ops->destroy = PCDestroy_BJacobi_Multiproc; 1315 pc->ops->apply = PCApply_BJacobi_Multiproc; 1316 pc->ops->matapply = PCMatApply_BJacobi_Multiproc; 1317 } else { /* pc->setupcalled */ 1318 subcomm = PetscSubcommChild(mpjac->psubcomm); 1319 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1320 /* destroy old matrix blocks, then get new matrix blocks */ 1321 if (mpjac->submats) PetscCall(MatDestroy(&mpjac->submats)); 1322 PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_INITIAL_MATRIX, &mpjac->submats)); 1323 } else { 1324 PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_REUSE_MATRIX, &mpjac->submats)); 1325 } 1326 PetscCall(KSPSetOperators(jac->ksp[0], mpjac->submats, mpjac->submats)); 1327 } 1328 1329 if (!wasSetup && pc->setfromoptionscalled) PetscCall(KSPSetFromOptions(jac->ksp[0])); 1330 PetscFunctionReturn(PETSC_SUCCESS); 1331 } 1332