xref: /petsc/src/ksp/pc/impls/bjacobi/bjacobi.c (revision df4cd43f92eaa320656440c40edb1046daee8f75)
1 
2 /*
3    Defines a block Jacobi preconditioner.
4 */
5 
6 #include <../src/ksp/pc/impls/bjacobi/bjacobi.h> /*I "petscpc.h" I*/
7 
8 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC, Mat, Mat);
9 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC, Mat, Mat);
10 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC);
11 
12 static PetscErrorCode PCSetUp_BJacobi(PC pc)
13 {
14   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
15   Mat         mat = pc->mat, pmat = pc->pmat;
16   PetscBool   hasop;
17   PetscInt    N, M, start, i, sum, end;
18   PetscInt    bs, i_start = -1, i_end = -1;
19   PetscMPIInt rank, size;
20 
21   PetscFunctionBegin;
22   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
23   PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
24   PetscCall(MatGetLocalSize(pc->pmat, &M, &N));
25   PetscCall(MatGetBlockSize(pc->pmat, &bs));
26 
27   if (jac->n > 0 && jac->n < size) {
28     PetscCall(PCSetUp_BJacobi_Multiproc(pc));
29     PetscFunctionReturn(PETSC_SUCCESS);
30   }
31 
32   /*    Determines the number of blocks assigned to each processor */
33   /*   local block count  given */
34   if (jac->n_local > 0 && jac->n < 0) {
35     PetscCall(MPIU_Allreduce(&jac->n_local, &jac->n, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc)));
36     if (jac->l_lens) { /* check that user set these correctly */
37       sum = 0;
38       for (i = 0; i < jac->n_local; i++) {
39         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");
40         sum += jac->l_lens[i];
41       }
42       PetscCheck(sum == M, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Local lens set incorrectly");
43     } else {
44       PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens));
45       for (i = 0; i < jac->n_local; i++) jac->l_lens[i] = bs * ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i));
46     }
47   } else if (jac->n > 0 && jac->n_local < 0) { /* global block count given */
48     /* global blocks given: determine which ones are local */
49     if (jac->g_lens) {
50       /* check if the g_lens is has valid entries */
51       for (i = 0; i < jac->n; i++) {
52         PetscCheck(jac->g_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Zero block not allowed");
53         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");
54       }
55       if (size == 1) {
56         jac->n_local = jac->n;
57         PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens));
58         PetscCall(PetscArraycpy(jac->l_lens, jac->g_lens, jac->n_local));
59         /* check that user set these correctly */
60         sum = 0;
61         for (i = 0; i < jac->n_local; i++) sum += jac->l_lens[i];
62         PetscCheck(sum == M, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Global lens set incorrectly");
63       } else {
64         PetscCall(MatGetOwnershipRange(pc->pmat, &start, &end));
65         /* loop over blocks determing first one owned by me */
66         sum = 0;
67         for (i = 0; i < jac->n + 1; i++) {
68           if (sum == start) {
69             i_start = i;
70             goto start_1;
71           }
72           if (i < jac->n) sum += jac->g_lens[i];
73         }
74         SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout");
75       start_1:
76         for (i = i_start; i < jac->n + 1; i++) {
77           if (sum == end) {
78             i_end = i;
79             goto end_1;
80           }
81           if (i < jac->n) sum += jac->g_lens[i];
82         }
83         SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout");
84       end_1:
85         jac->n_local = i_end - i_start;
86         PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens));
87         PetscCall(PetscArraycpy(jac->l_lens, jac->g_lens + i_start, jac->n_local));
88       }
89     } else { /* no global blocks given, determine then using default layout */
90       jac->n_local = jac->n / size + ((jac->n % size) > rank);
91       PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens));
92       for (i = 0; i < jac->n_local; i++) {
93         jac->l_lens[i] = ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i)) * bs;
94         PetscCheck(jac->l_lens[i], PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Too many blocks given");
95       }
96     }
97   } else if (jac->n < 0 && jac->n_local < 0) { /* no blocks given */
98     jac->n       = size;
99     jac->n_local = 1;
100     PetscCall(PetscMalloc1(1, &jac->l_lens));
101     jac->l_lens[0] = M;
102   } else { /* jac->n > 0 && jac->n_local > 0 */
103     if (!jac->l_lens) {
104       PetscCall(PetscMalloc1(jac->n_local, &jac->l_lens));
105       for (i = 0; i < jac->n_local; i++) jac->l_lens[i] = bs * ((M / bs) / jac->n_local + (((M / bs) % jac->n_local) > i));
106     }
107   }
108   PetscCheck(jac->n_local >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Number of blocks is less than number of processors");
109 
110   /*    Determines mat and pmat */
111   PetscCall(MatHasOperation(pc->mat, MATOP_GET_DIAGONAL_BLOCK, &hasop));
112   if (!hasop && size == 1) {
113     mat  = pc->mat;
114     pmat = pc->pmat;
115   } else {
116     if (pc->useAmat) {
117       /* use block from Amat matrix, not Pmat for local MatMult() */
118       PetscCall(MatGetDiagonalBlock(pc->mat, &mat));
119     }
120     if (pc->pmat != pc->mat || !pc->useAmat) {
121       PetscCall(MatGetDiagonalBlock(pc->pmat, &pmat));
122     } else pmat = mat;
123   }
124 
125   /*
126      Setup code depends on the number of blocks
127   */
128   if (jac->n_local == 1) {
129     PetscCall(PCSetUp_BJacobi_Singleblock(pc, mat, pmat));
130   } else {
131     PetscCall(PCSetUp_BJacobi_Multiblock(pc, mat, pmat));
132   }
133   PetscFunctionReturn(PETSC_SUCCESS);
134 }
135 
136 /* Default destroy, if it has never been setup */
137 static PetscErrorCode PCDestroy_BJacobi(PC pc)
138 {
139   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
140 
141   PetscFunctionBegin;
142   PetscCall(PetscFree(jac->g_lens));
143   PetscCall(PetscFree(jac->l_lens));
144   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetSubKSP_C", NULL));
145   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetTotalBlocks_C", NULL));
146   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetTotalBlocks_C", NULL));
147   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetLocalBlocks_C", NULL));
148   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetLocalBlocks_C", NULL));
149   PetscCall(PetscFree(pc->data));
150   PetscFunctionReturn(PETSC_SUCCESS);
151 }
152 
153 static PetscErrorCode PCSetFromOptions_BJacobi(PC pc, PetscOptionItems *PetscOptionsObject)
154 {
155   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
156   PetscInt    blocks, i;
157   PetscBool   flg;
158 
159   PetscFunctionBegin;
160   PetscOptionsHeadBegin(PetscOptionsObject, "Block Jacobi options");
161   PetscCall(PetscOptionsInt("-pc_bjacobi_blocks", "Total number of blocks", "PCBJacobiSetTotalBlocks", jac->n, &blocks, &flg));
162   if (flg) PetscCall(PCBJacobiSetTotalBlocks(pc, blocks, NULL));
163   PetscCall(PetscOptionsInt("-pc_bjacobi_local_blocks", "Local number of blocks", "PCBJacobiSetLocalBlocks", jac->n_local, &blocks, &flg));
164   if (flg) PetscCall(PCBJacobiSetLocalBlocks(pc, blocks, NULL));
165   if (jac->ksp) {
166     /* The sub-KSP has already been set up (e.g., PCSetUp_BJacobi_Singleblock), but KSPSetFromOptions was not called
167      * unless we had already been called. */
168     for (i = 0; i < jac->n_local; i++) PetscCall(KSPSetFromOptions(jac->ksp[i]));
169   }
170   PetscOptionsHeadEnd();
171   PetscFunctionReturn(PETSC_SUCCESS);
172 }
173 
174 #include <petscdraw.h>
175 static PetscErrorCode PCView_BJacobi(PC pc, PetscViewer viewer)
176 {
177   PC_BJacobi           *jac   = (PC_BJacobi *)pc->data;
178   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data;
179   PetscMPIInt           rank;
180   PetscInt              i;
181   PetscBool             iascii, isstring, isdraw;
182   PetscViewer           sviewer;
183   PetscViewerFormat     format;
184   const char           *prefix;
185 
186   PetscFunctionBegin;
187   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
188   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
189   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw));
190   if (iascii) {
191     if (pc->useAmat) PetscCall(PetscViewerASCIIPrintf(viewer, "  using Amat local matrix, number of blocks = %" PetscInt_FMT "\n", jac->n));
192     PetscCall(PetscViewerASCIIPrintf(viewer, "  number of blocks = %" PetscInt_FMT "\n", jac->n));
193     PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
194     PetscCall(PetscViewerGetFormat(viewer, &format));
195     if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) {
196       PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for first block is in the following KSP and PC objects on rank 0:\n"));
197       PetscCall(PCGetOptionsPrefix(pc, &prefix));
198       PetscCall(PetscViewerASCIIPrintf(viewer, "  Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : ""));
199       if (jac->ksp && !jac->psubcomm) {
200         PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
201         if (rank == 0) {
202           PetscCall(PetscViewerASCIIPushTab(viewer));
203           PetscCall(KSPView(jac->ksp[0], sviewer));
204           PetscCall(PetscViewerASCIIPopTab(viewer));
205         }
206         PetscCall(PetscViewerFlush(sviewer));
207         PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
208         PetscCall(PetscViewerFlush(viewer));
209         /*  extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */
210         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
211       } else if (mpjac && jac->ksp && mpjac->psubcomm) {
212         PetscCall(PetscViewerGetSubViewer(viewer, mpjac->psubcomm->child, &sviewer));
213         if (!mpjac->psubcomm->color) {
214           PetscCall(PetscViewerASCIIPushTab(viewer));
215           PetscCall(KSPView(*(jac->ksp), sviewer));
216           PetscCall(PetscViewerASCIIPopTab(viewer));
217         }
218         PetscCall(PetscViewerFlush(sviewer));
219         PetscCall(PetscViewerRestoreSubViewer(viewer, mpjac->psubcomm->child, &sviewer));
220         PetscCall(PetscViewerFlush(viewer));
221         /*  extra call needed because of the two calls to PetscViewerASCIIPushSynchronized() in PetscViewerGetSubViewer() */
222         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
223       } else {
224         PetscCall(PetscViewerFlush(viewer));
225       }
226     } else {
227       PetscInt n_global;
228       PetscCall(MPIU_Allreduce(&jac->n_local, &n_global, 1, MPIU_INT, MPI_MAX, PetscObjectComm((PetscObject)pc)));
229       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
230       PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for each block is in the following KSP and PC objects:\n"));
231       PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] number of local blocks = %" PetscInt_FMT ", first local block number = %" PetscInt_FMT "\n", rank, jac->n_local, jac->first_local));
232       PetscCall(PetscViewerASCIIPushTab(viewer));
233       PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
234       for (i = 0; i < jac->n_local; i++) {
235         PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] local block number %" PetscInt_FMT "\n", rank, i));
236         PetscCall(KSPView(jac->ksp[i], sviewer));
237         PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "- - - - - - - - - - - - - - - - - -\n"));
238       }
239       PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
240       PetscCall(PetscViewerASCIIPopTab(viewer));
241       PetscCall(PetscViewerFlush(viewer));
242       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
243     }
244   } else if (isstring) {
245     PetscCall(PetscViewerStringSPrintf(viewer, " blks=%" PetscInt_FMT, jac->n));
246     PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
247     if (jac->ksp) PetscCall(KSPView(jac->ksp[0], sviewer));
248     PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
249   } else if (isdraw) {
250     PetscDraw draw;
251     char      str[25];
252     PetscReal x, y, bottom, h;
253 
254     PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
255     PetscCall(PetscDrawGetCurrentPoint(draw, &x, &y));
256     PetscCall(PetscSNPrintf(str, 25, "Number blocks %" PetscInt_FMT, jac->n));
257     PetscCall(PetscDrawStringBoxed(draw, x, y, PETSC_DRAW_RED, PETSC_DRAW_BLACK, str, NULL, &h));
258     bottom = y - h;
259     PetscCall(PetscDrawPushCurrentPoint(draw, x, bottom));
260     /* warning the communicator on viewer is different then on ksp in parallel */
261     if (jac->ksp) PetscCall(KSPView(jac->ksp[0], viewer));
262     PetscCall(PetscDrawPopCurrentPoint(draw));
263   }
264   PetscFunctionReturn(PETSC_SUCCESS);
265 }
266 
267 static PetscErrorCode PCBJacobiGetSubKSP_BJacobi(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp)
268 {
269   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
270 
271   PetscFunctionBegin;
272   PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call KSPSetUp() or PCSetUp() first");
273 
274   if (n_local) *n_local = jac->n_local;
275   if (first_local) *first_local = jac->first_local;
276   if (ksp) *ksp = jac->ksp;
277   PetscFunctionReturn(PETSC_SUCCESS);
278 }
279 
280 static PetscErrorCode PCBJacobiSetTotalBlocks_BJacobi(PC pc, PetscInt blocks, PetscInt *lens)
281 {
282   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
283 
284   PetscFunctionBegin;
285   PetscCheck(pc->setupcalled <= 0 || jac->n == blocks, PetscObjectComm((PetscObject)pc), PETSC_ERR_ORDER, "Cannot alter number of blocks after PCSetUp()/KSPSetUp() has been called");
286   jac->n = blocks;
287   if (!lens) jac->g_lens = NULL;
288   else {
289     PetscCall(PetscMalloc1(blocks, &jac->g_lens));
290     PetscCall(PetscArraycpy(jac->g_lens, lens, blocks));
291   }
292   PetscFunctionReturn(PETSC_SUCCESS);
293 }
294 
295 static PetscErrorCode PCBJacobiGetTotalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[])
296 {
297   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
298 
299   PetscFunctionBegin;
300   *blocks = jac->n;
301   if (lens) *lens = jac->g_lens;
302   PetscFunctionReturn(PETSC_SUCCESS);
303 }
304 
305 static PetscErrorCode PCBJacobiSetLocalBlocks_BJacobi(PC pc, PetscInt blocks, const PetscInt lens[])
306 {
307   PC_BJacobi *jac;
308 
309   PetscFunctionBegin;
310   jac = (PC_BJacobi *)pc->data;
311 
312   jac->n_local = blocks;
313   if (!lens) jac->l_lens = NULL;
314   else {
315     PetscCall(PetscMalloc1(blocks, &jac->l_lens));
316     PetscCall(PetscArraycpy(jac->l_lens, lens, blocks));
317   }
318   PetscFunctionReturn(PETSC_SUCCESS);
319 }
320 
321 static PetscErrorCode PCBJacobiGetLocalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[])
322 {
323   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
324 
325   PetscFunctionBegin;
326   *blocks = jac->n_local;
327   if (lens) *lens = jac->l_lens;
328   PetscFunctionReturn(PETSC_SUCCESS);
329 }
330 
331 /*@C
332    PCBJacobiGetSubKSP - Gets the local `KSP` contexts for all blocks on
333    this processor.
334 
335    Not Collective
336 
337    Input Parameter:
338 .  pc - the preconditioner context
339 
340    Output Parameters:
341 +  n_local - the number of blocks on this processor, or NULL
342 .  first_local - the global number of the first block on this processor, or NULL
343 -  ksp - the array of KSP contexts
344 
345    Notes:
346    After `PCBJacobiGetSubKSP()` the array of `KSP` contexts is not to be freed.
347 
348    Currently for some matrix implementations only 1 block per processor
349    is supported.
350 
351    You must call `KSPSetUp()` or `PCSetUp()` before calling `PCBJacobiGetSubKSP()`.
352 
353    Fortran Usage:
354    You must pass in a `KSP` array that is large enough to contain all the local `KSP`s.
355 
356    You can call `PCBJacobiGetSubKSP`(pc,nlocal,firstlocal,`PETSC_NULL_KSP`,ierr) to determine how large the
357    `KSP` array must be.
358 
359    Level: advanced
360 
361 .seealso: `PCBJACOBI`, `PCASM`, `PCASMGetSubKSP()`
362 @*/
363 PetscErrorCode PCBJacobiGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[])
364 {
365   PetscFunctionBegin;
366   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
367   PetscUseMethod(pc, "PCBJacobiGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp));
368   PetscFunctionReturn(PETSC_SUCCESS);
369 }
370 
371 /*@
372    PCBJacobiSetTotalBlocks - Sets the global number of blocks for the block
373    Jacobi preconditioner.
374 
375    Collective
376 
377    Input Parameters:
378 +  pc - the preconditioner context
379 .  blocks - the number of blocks
380 -  lens - [optional] integer array containing the size of each block
381 
382    Options Database Key:
383 .  -pc_bjacobi_blocks <blocks> - Sets the number of global blocks
384 
385    Note:
386    Currently only a limited number of blocking configurations are supported.
387    All processors sharing the `PC` must call this routine with the same data.
388 
389    Level: intermediate
390 
391 .seealso: `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiSetLocalBlocks()`
392 @*/
393 PetscErrorCode PCBJacobiSetTotalBlocks(PC pc, PetscInt blocks, const PetscInt lens[])
394 {
395   PetscFunctionBegin;
396   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
397   PetscCheck(blocks > 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Must have positive blocks");
398   PetscTryMethod(pc, "PCBJacobiSetTotalBlocks_C", (PC, PetscInt, const PetscInt[]), (pc, blocks, lens));
399   PetscFunctionReturn(PETSC_SUCCESS);
400 }
401 
402 /*@C
403    PCBJacobiGetTotalBlocks - Gets the global number of blocks for the block
404    Jacobi, `PCBJACOBI`, preconditioner.
405 
406    Not Collective
407 
408    Input Parameter:
409 .  pc - the preconditioner context
410 
411    Output parameters:
412 +  blocks - the number of blocks
413 -  lens - integer array containing the size of each block
414 
415    Level: intermediate
416 
417 .seealso: `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiGetLocalBlocks()`
418 @*/
419 PetscErrorCode PCBJacobiGetTotalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[])
420 {
421   PetscFunctionBegin;
422   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
423   PetscValidIntPointer(blocks, 2);
424   PetscUseMethod(pc, "PCBJacobiGetTotalBlocks_C", (PC, PetscInt *, const PetscInt *[]), (pc, blocks, lens));
425   PetscFunctionReturn(PETSC_SUCCESS);
426 }
427 
428 /*@
429    PCBJacobiSetLocalBlocks - Sets the local number of blocks for the block
430    Jacobi, `PCBJACOBI`,  preconditioner.
431 
432    Not Collective
433 
434    Input Parameters:
435 +  pc - the preconditioner context
436 .  blocks - the number of blocks
437 -  lens - [optional] integer array containing size of each block
438 
439    Options Database Key:
440 .  -pc_bjacobi_local_blocks <blocks> - Sets the number of local blocks
441 
442    Note:
443    Currently only a limited number of blocking configurations are supported.
444 
445    Level: intermediate
446 
447 .seealso: `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiSetTotalBlocks()`
448 @*/
449 PetscErrorCode PCBJacobiSetLocalBlocks(PC pc, PetscInt blocks, const PetscInt lens[])
450 {
451   PetscFunctionBegin;
452   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
453   PetscCheck(blocks >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Must have nonegative blocks");
454   PetscTryMethod(pc, "PCBJacobiSetLocalBlocks_C", (PC, PetscInt, const PetscInt[]), (pc, blocks, lens));
455   PetscFunctionReturn(PETSC_SUCCESS);
456 }
457 
458 /*@C
459    PCBJacobiGetLocalBlocks - Gets the local number of blocks for the block
460    Jacobi, `PCBJACOBI`, preconditioner.
461 
462    Not Collective
463 
464    Input Parameters:
465 +  pc - the preconditioner context
466 .  blocks - the number of blocks
467 -  lens - [optional] integer array containing size of each block
468 
469    Note:
470    Currently only a limited number of blocking configurations are supported.
471 
472    Level: intermediate
473 
474 .seealso: `PCBJACOBI`, `PCSetUseAmat()`, `PCBJacobiGetTotalBlocks()`
475 @*/
476 PetscErrorCode PCBJacobiGetLocalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[])
477 {
478   PetscFunctionBegin;
479   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
480   PetscValidIntPointer(blocks, 2);
481   PetscUseMethod(pc, "PCBJacobiGetLocalBlocks_C", (PC, PetscInt *, const PetscInt *[]), (pc, blocks, lens));
482   PetscFunctionReturn(PETSC_SUCCESS);
483 }
484 
485 /*MC
486    PCBJACOBI - Use block Jacobi preconditioning, each block is (approximately) solved with
487            its own `KSP` object.
488 
489    Options Database Keys:
490 +  -pc_use_amat - use Amat to apply block of operator in inner Krylov method
491 -  -pc_bjacobi_blocks <n> - use n total blocks
492 
493    Notes:
494     See `PCJACOBI` for diagonal Jacobi, `PCVPBJACOBI` for variable point block, and `PCPBJACOBI` for fixed size point block
495 
496     Each processor can have one or more blocks, or a single block can be shared by several processes. Defaults to one block per processor.
497 
498      To set options on the solvers for each block append -sub_ to all the `KSP` and `PC`
499         options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly
500 
501      To set the options on the solvers separate for each block call `PCBJacobiGetSubKSP()`
502          and set the options directly on the resulting `KSP` object (you can access its `PC`
503          `KSPGetPC())`
504 
505      For GPU-based vectors (`VECCUDA`, `VECViennaCL`) it is recommended to use exactly one block per MPI process for best
506          performance.  Different block partitioning may lead to additional data transfers
507          between host and GPU that lead to degraded performance.
508 
509      When multiple processes share a single block, each block encompasses exactly all the unknowns owned its set of processes.
510 
511    Level: beginner
512 
513 .seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCType`,
514           `PCASM`, `PCSetUseAmat()`, `PCGetUseAmat()`, `PCBJacobiGetSubKSP()`, `PCBJacobiSetTotalBlocks()`,
515           `PCBJacobiSetLocalBlocks()`, `PCSetModifySubMatrices()`, `PCJACOBI`, `PCVPBJACOBI`, `PCPBJACOBI`
516 M*/
517 
518 PETSC_EXTERN PetscErrorCode PCCreate_BJacobi(PC pc)
519 {
520   PetscMPIInt rank;
521   PC_BJacobi *jac;
522 
523   PetscFunctionBegin;
524   PetscCall(PetscNew(&jac));
525   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
526 
527   pc->ops->apply           = NULL;
528   pc->ops->matapply        = NULL;
529   pc->ops->applytranspose  = NULL;
530   pc->ops->setup           = PCSetUp_BJacobi;
531   pc->ops->destroy         = PCDestroy_BJacobi;
532   pc->ops->setfromoptions  = PCSetFromOptions_BJacobi;
533   pc->ops->view            = PCView_BJacobi;
534   pc->ops->applyrichardson = NULL;
535 
536   pc->data         = (void *)jac;
537   jac->n           = -1;
538   jac->n_local     = -1;
539   jac->first_local = rank;
540   jac->ksp         = NULL;
541   jac->g_lens      = NULL;
542   jac->l_lens      = NULL;
543   jac->psubcomm    = NULL;
544 
545   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetSubKSP_C", PCBJacobiGetSubKSP_BJacobi));
546   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetTotalBlocks_C", PCBJacobiSetTotalBlocks_BJacobi));
547   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetTotalBlocks_C", PCBJacobiGetTotalBlocks_BJacobi));
548   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiSetLocalBlocks_C", PCBJacobiSetLocalBlocks_BJacobi));
549   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCBJacobiGetLocalBlocks_C", PCBJacobiGetLocalBlocks_BJacobi));
550   PetscFunctionReturn(PETSC_SUCCESS);
551 }
552 
553 /*
554         These are for a single block per processor; works for AIJ, BAIJ; Seq and MPI
555 */
556 static PetscErrorCode PCReset_BJacobi_Singleblock(PC pc)
557 {
558   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
559   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
560 
561   PetscFunctionBegin;
562   PetscCall(KSPReset(jac->ksp[0]));
563   PetscCall(VecDestroy(&bjac->x));
564   PetscCall(VecDestroy(&bjac->y));
565   PetscFunctionReturn(PETSC_SUCCESS);
566 }
567 
568 static PetscErrorCode PCDestroy_BJacobi_Singleblock(PC pc)
569 {
570   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
571   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
572 
573   PetscFunctionBegin;
574   PetscCall(PCReset_BJacobi_Singleblock(pc));
575   PetscCall(KSPDestroy(&jac->ksp[0]));
576   PetscCall(PetscFree(jac->ksp));
577   PetscCall(PetscFree(bjac));
578   PetscCall(PCDestroy_BJacobi(pc));
579   PetscFunctionReturn(PETSC_SUCCESS);
580 }
581 
582 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Singleblock(PC pc)
583 {
584   PC_BJacobi        *jac    = (PC_BJacobi *)pc->data;
585   KSP                subksp = jac->ksp[0];
586   KSPConvergedReason reason;
587 
588   PetscFunctionBegin;
589   PetscCall(KSPSetUp(subksp));
590   PetscCall(KSPGetConvergedReason(subksp, &reason));
591   if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
592   PetscFunctionReturn(PETSC_SUCCESS);
593 }
594 
595 static PetscErrorCode PCApply_BJacobi_Singleblock(PC pc, Vec x, Vec y)
596 {
597   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
598   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
599 
600   PetscFunctionBegin;
601   PetscCall(VecGetLocalVectorRead(x, bjac->x));
602   PetscCall(VecGetLocalVector(y, bjac->y));
603   /* Since the inner KSP matrix may point directly to the diagonal block of an MPI matrix the inner
604      matrix may change even if the outer KSP/PC has not updated the preconditioner, this will trigger a rebuild
605      of the inner preconditioner automatically unless we pass down the outer preconditioners reuse flag.*/
606   PetscCall(KSPSetReusePreconditioner(jac->ksp[0], pc->reusepreconditioner));
607   PetscCall(KSPSolve(jac->ksp[0], bjac->x, bjac->y));
608   PetscCall(KSPCheckSolve(jac->ksp[0], pc, bjac->y));
609   PetscCall(VecRestoreLocalVectorRead(x, bjac->x));
610   PetscCall(VecRestoreLocalVector(y, bjac->y));
611   PetscFunctionReturn(PETSC_SUCCESS);
612 }
613 
614 static PetscErrorCode PCMatApply_BJacobi_Singleblock(PC pc, Mat X, Mat Y)
615 {
616   PC_BJacobi *jac = (PC_BJacobi *)pc->data;
617   Mat         sX, sY;
618 
619   PetscFunctionBegin;
620   /* Since the inner KSP matrix may point directly to the diagonal block of an MPI matrix the inner
621      matrix may change even if the outer KSP/PC has not updated the preconditioner, this will trigger a rebuild
622      of the inner preconditioner automatically unless we pass down the outer preconditioners reuse flag.*/
623   PetscCall(KSPSetReusePreconditioner(jac->ksp[0], pc->reusepreconditioner));
624   PetscCall(MatDenseGetLocalMatrix(X, &sX));
625   PetscCall(MatDenseGetLocalMatrix(Y, &sY));
626   PetscCall(KSPMatSolve(jac->ksp[0], sX, sY));
627   PetscFunctionReturn(PETSC_SUCCESS);
628 }
629 
630 static PetscErrorCode PCApplySymmetricLeft_BJacobi_Singleblock(PC pc, Vec x, Vec y)
631 {
632   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
633   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
634   PetscScalar            *y_array;
635   const PetscScalar      *x_array;
636   PC                      subpc;
637 
638   PetscFunctionBegin;
639   /*
640       The VecPlaceArray() is to avoid having to copy the
641     y vector into the bjac->x vector. The reason for
642     the bjac->x vector is that we need a sequential vector
643     for the sequential solve.
644   */
645   PetscCall(VecGetArrayRead(x, &x_array));
646   PetscCall(VecGetArray(y, &y_array));
647   PetscCall(VecPlaceArray(bjac->x, x_array));
648   PetscCall(VecPlaceArray(bjac->y, y_array));
649   /* apply the symmetric left portion of the inner PC operator */
650   /* note this by-passes the inner KSP and its options completely */
651   PetscCall(KSPGetPC(jac->ksp[0], &subpc));
652   PetscCall(PCApplySymmetricLeft(subpc, bjac->x, bjac->y));
653   PetscCall(VecResetArray(bjac->x));
654   PetscCall(VecResetArray(bjac->y));
655   PetscCall(VecRestoreArrayRead(x, &x_array));
656   PetscCall(VecRestoreArray(y, &y_array));
657   PetscFunctionReturn(PETSC_SUCCESS);
658 }
659 
660 static PetscErrorCode PCApplySymmetricRight_BJacobi_Singleblock(PC pc, Vec x, Vec y)
661 {
662   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
663   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
664   PetscScalar            *y_array;
665   const PetscScalar      *x_array;
666   PC                      subpc;
667 
668   PetscFunctionBegin;
669   /*
670       The VecPlaceArray() is to avoid having to copy the
671     y vector into the bjac->x vector. The reason for
672     the bjac->x vector is that we need a sequential vector
673     for the sequential solve.
674   */
675   PetscCall(VecGetArrayRead(x, &x_array));
676   PetscCall(VecGetArray(y, &y_array));
677   PetscCall(VecPlaceArray(bjac->x, x_array));
678   PetscCall(VecPlaceArray(bjac->y, y_array));
679 
680   /* apply the symmetric right portion of the inner PC operator */
681   /* note this by-passes the inner KSP and its options completely */
682 
683   PetscCall(KSPGetPC(jac->ksp[0], &subpc));
684   PetscCall(PCApplySymmetricRight(subpc, bjac->x, bjac->y));
685 
686   PetscCall(VecResetArray(bjac->x));
687   PetscCall(VecResetArray(bjac->y));
688   PetscCall(VecRestoreArrayRead(x, &x_array));
689   PetscCall(VecRestoreArray(y, &y_array));
690   PetscFunctionReturn(PETSC_SUCCESS);
691 }
692 
693 static PetscErrorCode PCApplyTranspose_BJacobi_Singleblock(PC pc, Vec x, Vec y)
694 {
695   PC_BJacobi             *jac  = (PC_BJacobi *)pc->data;
696   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock *)jac->data;
697   PetscScalar            *y_array;
698   const PetscScalar      *x_array;
699 
700   PetscFunctionBegin;
701   /*
702       The VecPlaceArray() is to avoid having to copy the
703     y vector into the bjac->x vector. The reason for
704     the bjac->x vector is that we need a sequential vector
705     for the sequential solve.
706   */
707   PetscCall(VecGetArrayRead(x, &x_array));
708   PetscCall(VecGetArray(y, &y_array));
709   PetscCall(VecPlaceArray(bjac->x, x_array));
710   PetscCall(VecPlaceArray(bjac->y, y_array));
711   PetscCall(KSPSolveTranspose(jac->ksp[0], bjac->x, bjac->y));
712   PetscCall(KSPCheckSolve(jac->ksp[0], pc, bjac->y));
713   PetscCall(VecResetArray(bjac->x));
714   PetscCall(VecResetArray(bjac->y));
715   PetscCall(VecRestoreArrayRead(x, &x_array));
716   PetscCall(VecRestoreArray(y, &y_array));
717   PetscFunctionReturn(PETSC_SUCCESS);
718 }
719 
720 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC pc, Mat mat, Mat pmat)
721 {
722   PC_BJacobi             *jac = (PC_BJacobi *)pc->data;
723   PetscInt                m;
724   KSP                     ksp;
725   PC_BJacobi_Singleblock *bjac;
726   PetscBool               wasSetup = PETSC_TRUE;
727   VecType                 vectype;
728   const char             *prefix;
729 
730   PetscFunctionBegin;
731   if (!pc->setupcalled) {
732     if (!jac->ksp) {
733       wasSetup = PETSC_FALSE;
734 
735       PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp));
736       PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure));
737       PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1));
738       PetscCall(KSPSetType(ksp, KSPPREONLY));
739       PetscCall(PCGetOptionsPrefix(pc, &prefix));
740       PetscCall(KSPSetOptionsPrefix(ksp, prefix));
741       PetscCall(KSPAppendOptionsPrefix(ksp, "sub_"));
742 
743       pc->ops->reset               = PCReset_BJacobi_Singleblock;
744       pc->ops->destroy             = PCDestroy_BJacobi_Singleblock;
745       pc->ops->apply               = PCApply_BJacobi_Singleblock;
746       pc->ops->matapply            = PCMatApply_BJacobi_Singleblock;
747       pc->ops->applysymmetricleft  = PCApplySymmetricLeft_BJacobi_Singleblock;
748       pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Singleblock;
749       pc->ops->applytranspose      = PCApplyTranspose_BJacobi_Singleblock;
750       pc->ops->setuponblocks       = PCSetUpOnBlocks_BJacobi_Singleblock;
751 
752       PetscCall(PetscMalloc1(1, &jac->ksp));
753       jac->ksp[0] = ksp;
754 
755       PetscCall(PetscNew(&bjac));
756       jac->data = (void *)bjac;
757     } else {
758       ksp  = jac->ksp[0];
759       bjac = (PC_BJacobi_Singleblock *)jac->data;
760     }
761 
762     /*
763       The reason we need to generate these vectors is to serve
764       as the right-hand side and solution vector for the solve on the
765       block. We do not need to allocate space for the vectors since
766       that is provided via VecPlaceArray() just before the call to
767       KSPSolve() on the block.
768     */
769     PetscCall(MatGetSize(pmat, &m, &m));
770     PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &bjac->x));
771     PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &bjac->y));
772     PetscCall(MatGetVecType(pmat, &vectype));
773     PetscCall(VecSetType(bjac->x, vectype));
774     PetscCall(VecSetType(bjac->y, vectype));
775   } else {
776     ksp  = jac->ksp[0];
777     bjac = (PC_BJacobi_Singleblock *)jac->data;
778   }
779   PetscCall(KSPGetOptionsPrefix(ksp, &prefix));
780   if (pc->useAmat) {
781     PetscCall(KSPSetOperators(ksp, mat, pmat));
782     PetscCall(MatSetOptionsPrefix(mat, prefix));
783   } else {
784     PetscCall(KSPSetOperators(ksp, pmat, pmat));
785   }
786   PetscCall(MatSetOptionsPrefix(pmat, prefix));
787   if (!wasSetup && pc->setfromoptionscalled) {
788     /* If PCSetFromOptions_BJacobi is called later, KSPSetFromOptions will be called at that time. */
789     PetscCall(KSPSetFromOptions(ksp));
790   }
791   PetscFunctionReturn(PETSC_SUCCESS);
792 }
793 
794 static PetscErrorCode PCReset_BJacobi_Multiblock(PC pc)
795 {
796   PC_BJacobi            *jac  = (PC_BJacobi *)pc->data;
797   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
798   PetscInt               i;
799 
800   PetscFunctionBegin;
801   if (bjac && bjac->pmat) {
802     PetscCall(MatDestroyMatrices(jac->n_local, &bjac->pmat));
803     if (pc->useAmat) PetscCall(MatDestroyMatrices(jac->n_local, &bjac->mat));
804   }
805 
806   for (i = 0; i < jac->n_local; i++) {
807     PetscCall(KSPReset(jac->ksp[i]));
808     if (bjac && bjac->x) {
809       PetscCall(VecDestroy(&bjac->x[i]));
810       PetscCall(VecDestroy(&bjac->y[i]));
811       PetscCall(ISDestroy(&bjac->is[i]));
812     }
813   }
814   PetscCall(PetscFree(jac->l_lens));
815   PetscCall(PetscFree(jac->g_lens));
816   PetscFunctionReturn(PETSC_SUCCESS);
817 }
818 
819 static PetscErrorCode PCDestroy_BJacobi_Multiblock(PC pc)
820 {
821   PC_BJacobi            *jac  = (PC_BJacobi *)pc->data;
822   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
823   PetscInt               i;
824 
825   PetscFunctionBegin;
826   PetscCall(PCReset_BJacobi_Multiblock(pc));
827   if (bjac) {
828     PetscCall(PetscFree2(bjac->x, bjac->y));
829     PetscCall(PetscFree(bjac->starts));
830     PetscCall(PetscFree(bjac->is));
831   }
832   PetscCall(PetscFree(jac->data));
833   for (i = 0; i < jac->n_local; i++) PetscCall(KSPDestroy(&jac->ksp[i]));
834   PetscCall(PetscFree(jac->ksp));
835   PetscCall(PCDestroy_BJacobi(pc));
836   PetscFunctionReturn(PETSC_SUCCESS);
837 }
838 
839 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiblock(PC pc)
840 {
841   PC_BJacobi        *jac = (PC_BJacobi *)pc->data;
842   PetscInt           i, n_local = jac->n_local;
843   KSPConvergedReason reason;
844 
845   PetscFunctionBegin;
846   for (i = 0; i < n_local; i++) {
847     PetscCall(KSPSetUp(jac->ksp[i]));
848     PetscCall(KSPGetConvergedReason(jac->ksp[i], &reason));
849     if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
850   }
851   PetscFunctionReturn(PETSC_SUCCESS);
852 }
853 
854 static PetscErrorCode PCApply_BJacobi_Multiblock(PC pc, Vec x, Vec y)
855 {
856   PC_BJacobi            *jac = (PC_BJacobi *)pc->data;
857   PetscInt               i, n_local = jac->n_local;
858   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
859   PetscScalar           *yin;
860   const PetscScalar     *xin;
861 
862   PetscFunctionBegin;
863   PetscCall(VecGetArrayRead(x, &xin));
864   PetscCall(VecGetArray(y, &yin));
865   for (i = 0; i < n_local; i++) {
866     /*
867        To avoid copying the subvector from x into a workspace we instead
868        make the workspace vector array point to the subpart of the array of
869        the global vector.
870     */
871     PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i]));
872     PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i]));
873 
874     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
875     PetscCall(KSPSolve(jac->ksp[i], bjac->x[i], bjac->y[i]));
876     PetscCall(KSPCheckSolve(jac->ksp[i], pc, bjac->y[i]));
877     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
878 
879     PetscCall(VecResetArray(bjac->x[i]));
880     PetscCall(VecResetArray(bjac->y[i]));
881   }
882   PetscCall(VecRestoreArrayRead(x, &xin));
883   PetscCall(VecRestoreArray(y, &yin));
884   PetscFunctionReturn(PETSC_SUCCESS);
885 }
886 
887 static PetscErrorCode PCApplySymmetricLeft_BJacobi_Multiblock(PC pc, Vec x, Vec y)
888 {
889   PC_BJacobi            *jac = (PC_BJacobi *)pc->data;
890   PetscInt               i, n_local = jac->n_local;
891   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
892   PetscScalar           *yin;
893   const PetscScalar     *xin;
894   PC                     subpc;
895 
896   PetscFunctionBegin;
897   PetscCall(VecGetArrayRead(x, &xin));
898   PetscCall(VecGetArray(y, &yin));
899   for (i = 0; i < n_local; i++) {
900     /*
901        To avoid copying the subvector from x into a workspace we instead
902        make the workspace vector array point to the subpart of the array of
903        the global vector.
904     */
905     PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i]));
906     PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i]));
907 
908     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
909     /* apply the symmetric left portion of the inner PC operator */
910     /* note this by-passes the inner KSP and its options completely */
911     PetscCall(KSPGetPC(jac->ksp[i], &subpc));
912     PetscCall(PCApplySymmetricLeft(subpc, bjac->x[i], bjac->y[i]));
913     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
914 
915     PetscCall(VecResetArray(bjac->x[i]));
916     PetscCall(VecResetArray(bjac->y[i]));
917   }
918   PetscCall(VecRestoreArrayRead(x, &xin));
919   PetscCall(VecRestoreArray(y, &yin));
920   PetscFunctionReturn(PETSC_SUCCESS);
921 }
922 
923 static PetscErrorCode PCApplySymmetricRight_BJacobi_Multiblock(PC pc, Vec x, Vec y)
924 {
925   PC_BJacobi            *jac = (PC_BJacobi *)pc->data;
926   PetscInt               i, n_local = jac->n_local;
927   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
928   PetscScalar           *yin;
929   const PetscScalar     *xin;
930   PC                     subpc;
931 
932   PetscFunctionBegin;
933   PetscCall(VecGetArrayRead(x, &xin));
934   PetscCall(VecGetArray(y, &yin));
935   for (i = 0; i < n_local; i++) {
936     /*
937        To avoid copying the subvector from x into a workspace we instead
938        make the workspace vector array point to the subpart of the array of
939        the global vector.
940     */
941     PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i]));
942     PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i]));
943 
944     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
945     /* apply the symmetric left portion of the inner PC operator */
946     /* note this by-passes the inner KSP and its options completely */
947     PetscCall(KSPGetPC(jac->ksp[i], &subpc));
948     PetscCall(PCApplySymmetricRight(subpc, bjac->x[i], bjac->y[i]));
949     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
950 
951     PetscCall(VecResetArray(bjac->x[i]));
952     PetscCall(VecResetArray(bjac->y[i]));
953   }
954   PetscCall(VecRestoreArrayRead(x, &xin));
955   PetscCall(VecRestoreArray(y, &yin));
956   PetscFunctionReturn(PETSC_SUCCESS);
957 }
958 
959 static PetscErrorCode PCApplyTranspose_BJacobi_Multiblock(PC pc, Vec x, Vec y)
960 {
961   PC_BJacobi            *jac = (PC_BJacobi *)pc->data;
962   PetscInt               i, n_local = jac->n_local;
963   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
964   PetscScalar           *yin;
965   const PetscScalar     *xin;
966 
967   PetscFunctionBegin;
968   PetscCall(VecGetArrayRead(x, &xin));
969   PetscCall(VecGetArray(y, &yin));
970   for (i = 0; i < n_local; i++) {
971     /*
972        To avoid copying the subvector from x into a workspace we instead
973        make the workspace vector array point to the subpart of the array of
974        the global vector.
975     */
976     PetscCall(VecPlaceArray(bjac->x[i], xin + bjac->starts[i]));
977     PetscCall(VecPlaceArray(bjac->y[i], yin + bjac->starts[i]));
978 
979     PetscCall(PetscLogEventBegin(PC_ApplyTransposeOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
980     PetscCall(KSPSolveTranspose(jac->ksp[i], bjac->x[i], bjac->y[i]));
981     PetscCall(KSPCheckSolve(jac->ksp[i], pc, bjac->y[i]));
982     PetscCall(PetscLogEventEnd(PC_ApplyTransposeOnBlocks, jac->ksp[i], bjac->x[i], bjac->y[i], 0));
983 
984     PetscCall(VecResetArray(bjac->x[i]));
985     PetscCall(VecResetArray(bjac->y[i]));
986   }
987   PetscCall(VecRestoreArrayRead(x, &xin));
988   PetscCall(VecRestoreArray(y, &yin));
989   PetscFunctionReturn(PETSC_SUCCESS);
990 }
991 
992 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC pc, Mat mat, Mat pmat)
993 {
994   PC_BJacobi            *jac = (PC_BJacobi *)pc->data;
995   PetscInt               m, n_local, N, M, start, i;
996   const char            *prefix;
997   KSP                    ksp;
998   Vec                    x, y;
999   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock *)jac->data;
1000   PC                     subpc;
1001   IS                     is;
1002   MatReuse               scall;
1003   VecType                vectype;
1004 
1005   PetscFunctionBegin;
1006   PetscCall(MatGetLocalSize(pc->pmat, &M, &N));
1007 
1008   n_local = jac->n_local;
1009 
1010   if (pc->useAmat) {
1011     PetscBool same;
1012     PetscCall(PetscObjectTypeCompare((PetscObject)mat, ((PetscObject)pmat)->type_name, &same));
1013     PetscCheck(same, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_INCOMP, "Matrices not of same type");
1014   }
1015 
1016   if (!pc->setupcalled) {
1017     scall = MAT_INITIAL_MATRIX;
1018 
1019     if (!jac->ksp) {
1020       pc->ops->reset               = PCReset_BJacobi_Multiblock;
1021       pc->ops->destroy             = PCDestroy_BJacobi_Multiblock;
1022       pc->ops->apply               = PCApply_BJacobi_Multiblock;
1023       pc->ops->matapply            = NULL;
1024       pc->ops->applysymmetricleft  = PCApplySymmetricLeft_BJacobi_Multiblock;
1025       pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Multiblock;
1026       pc->ops->applytranspose      = PCApplyTranspose_BJacobi_Multiblock;
1027       pc->ops->setuponblocks       = PCSetUpOnBlocks_BJacobi_Multiblock;
1028 
1029       PetscCall(PetscNew(&bjac));
1030       PetscCall(PetscMalloc1(n_local, &jac->ksp));
1031       PetscCall(PetscMalloc2(n_local, &bjac->x, n_local, &bjac->y));
1032       PetscCall(PetscMalloc1(n_local, &bjac->starts));
1033 
1034       jac->data = (void *)bjac;
1035       PetscCall(PetscMalloc1(n_local, &bjac->is));
1036 
1037       for (i = 0; i < n_local; i++) {
1038         PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp));
1039         PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure));
1040         PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1));
1041         PetscCall(KSPSetType(ksp, KSPPREONLY));
1042         PetscCall(KSPGetPC(ksp, &subpc));
1043         PetscCall(PCGetOptionsPrefix(pc, &prefix));
1044         PetscCall(KSPSetOptionsPrefix(ksp, prefix));
1045         PetscCall(KSPAppendOptionsPrefix(ksp, "sub_"));
1046 
1047         jac->ksp[i] = ksp;
1048       }
1049     } else {
1050       bjac = (PC_BJacobi_Multiblock *)jac->data;
1051     }
1052 
1053     start = 0;
1054     PetscCall(MatGetVecType(pmat, &vectype));
1055     for (i = 0; i < n_local; i++) {
1056       m = jac->l_lens[i];
1057       /*
1058       The reason we need to generate these vectors is to serve
1059       as the right-hand side and solution vector for the solve on the
1060       block. We do not need to allocate space for the vectors since
1061       that is provided via VecPlaceArray() just before the call to
1062       KSPSolve() on the block.
1063 
1064       */
1065       PetscCall(VecCreateSeq(PETSC_COMM_SELF, m, &x));
1066       PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, m, NULL, &y));
1067       PetscCall(VecSetType(x, vectype));
1068       PetscCall(VecSetType(y, vectype));
1069 
1070       bjac->x[i]      = x;
1071       bjac->y[i]      = y;
1072       bjac->starts[i] = start;
1073 
1074       PetscCall(ISCreateStride(PETSC_COMM_SELF, m, start, 1, &is));
1075       bjac->is[i] = is;
1076 
1077       start += m;
1078     }
1079   } else {
1080     bjac = (PC_BJacobi_Multiblock *)jac->data;
1081     /*
1082        Destroy the blocks from the previous iteration
1083     */
1084     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
1085       PetscCall(MatDestroyMatrices(n_local, &bjac->pmat));
1086       if (pc->useAmat) PetscCall(MatDestroyMatrices(n_local, &bjac->mat));
1087       scall = MAT_INITIAL_MATRIX;
1088     } else scall = MAT_REUSE_MATRIX;
1089   }
1090 
1091   PetscCall(MatCreateSubMatrices(pmat, n_local, bjac->is, bjac->is, scall, &bjac->pmat));
1092   if (pc->useAmat) PetscCall(MatCreateSubMatrices(mat, n_local, bjac->is, bjac->is, scall, &bjac->mat));
1093   /* Return control to the user so that the submatrices can be modified (e.g., to apply
1094      different boundary conditions for the submatrices than for the global problem) */
1095   PetscCall(PCModifySubMatrices(pc, n_local, bjac->is, bjac->is, bjac->pmat, pc->modifysubmatricesP));
1096 
1097   for (i = 0; i < n_local; i++) {
1098     PetscCall(KSPGetOptionsPrefix(jac->ksp[i], &prefix));
1099     if (pc->useAmat) {
1100       PetscCall(KSPSetOperators(jac->ksp[i], bjac->mat[i], bjac->pmat[i]));
1101       PetscCall(MatSetOptionsPrefix(bjac->mat[i], prefix));
1102     } else {
1103       PetscCall(KSPSetOperators(jac->ksp[i], bjac->pmat[i], bjac->pmat[i]));
1104     }
1105     PetscCall(MatSetOptionsPrefix(bjac->pmat[i], prefix));
1106     if (pc->setfromoptionscalled) PetscCall(KSPSetFromOptions(jac->ksp[i]));
1107   }
1108   PetscFunctionReturn(PETSC_SUCCESS);
1109 }
1110 
1111 /*
1112       These are for a single block with multiple processes
1113 */
1114 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiproc(PC pc)
1115 {
1116   PC_BJacobi        *jac    = (PC_BJacobi *)pc->data;
1117   KSP                subksp = jac->ksp[0];
1118   KSPConvergedReason reason;
1119 
1120   PetscFunctionBegin;
1121   PetscCall(KSPSetUp(subksp));
1122   PetscCall(KSPGetConvergedReason(subksp, &reason));
1123   if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
1124   PetscFunctionReturn(PETSC_SUCCESS);
1125 }
1126 
1127 static PetscErrorCode PCReset_BJacobi_Multiproc(PC pc)
1128 {
1129   PC_BJacobi           *jac   = (PC_BJacobi *)pc->data;
1130   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data;
1131 
1132   PetscFunctionBegin;
1133   PetscCall(VecDestroy(&mpjac->ysub));
1134   PetscCall(VecDestroy(&mpjac->xsub));
1135   PetscCall(MatDestroy(&mpjac->submats));
1136   if (jac->ksp) PetscCall(KSPReset(jac->ksp[0]));
1137   PetscFunctionReturn(PETSC_SUCCESS);
1138 }
1139 
1140 static PetscErrorCode PCDestroy_BJacobi_Multiproc(PC pc)
1141 {
1142   PC_BJacobi           *jac   = (PC_BJacobi *)pc->data;
1143   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data;
1144 
1145   PetscFunctionBegin;
1146   PetscCall(PCReset_BJacobi_Multiproc(pc));
1147   PetscCall(KSPDestroy(&jac->ksp[0]));
1148   PetscCall(PetscFree(jac->ksp));
1149   PetscCall(PetscSubcommDestroy(&mpjac->psubcomm));
1150 
1151   PetscCall(PetscFree(mpjac));
1152   PetscCall(PCDestroy_BJacobi(pc));
1153   PetscFunctionReturn(PETSC_SUCCESS);
1154 }
1155 
1156 static PetscErrorCode PCApply_BJacobi_Multiproc(PC pc, Vec x, Vec y)
1157 {
1158   PC_BJacobi           *jac   = (PC_BJacobi *)pc->data;
1159   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data;
1160   PetscScalar          *yarray;
1161   const PetscScalar    *xarray;
1162   KSPConvergedReason    reason;
1163 
1164   PetscFunctionBegin;
1165   /* place x's and y's local arrays into xsub and ysub */
1166   PetscCall(VecGetArrayRead(x, &xarray));
1167   PetscCall(VecGetArray(y, &yarray));
1168   PetscCall(VecPlaceArray(mpjac->xsub, xarray));
1169   PetscCall(VecPlaceArray(mpjac->ysub, yarray));
1170 
1171   /* apply preconditioner on each matrix block */
1172   PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], mpjac->xsub, mpjac->ysub, 0));
1173   PetscCall(KSPSolve(jac->ksp[0], mpjac->xsub, mpjac->ysub));
1174   PetscCall(KSPCheckSolve(jac->ksp[0], pc, mpjac->ysub));
1175   PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], mpjac->xsub, mpjac->ysub, 0));
1176   PetscCall(KSPGetConvergedReason(jac->ksp[0], &reason));
1177   if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
1178 
1179   PetscCall(VecResetArray(mpjac->xsub));
1180   PetscCall(VecResetArray(mpjac->ysub));
1181   PetscCall(VecRestoreArrayRead(x, &xarray));
1182   PetscCall(VecRestoreArray(y, &yarray));
1183   PetscFunctionReturn(PETSC_SUCCESS);
1184 }
1185 
1186 static PetscErrorCode PCMatApply_BJacobi_Multiproc(PC pc, Mat X, Mat Y)
1187 {
1188   PC_BJacobi        *jac = (PC_BJacobi *)pc->data;
1189   KSPConvergedReason reason;
1190   Mat                sX, sY;
1191   const PetscScalar *x;
1192   PetscScalar       *y;
1193   PetscInt           m, N, lda, ldb;
1194 
1195   PetscFunctionBegin;
1196   /* apply preconditioner on each matrix block */
1197   PetscCall(MatGetLocalSize(X, &m, NULL));
1198   PetscCall(MatGetSize(X, NULL, &N));
1199   PetscCall(MatDenseGetLDA(X, &lda));
1200   PetscCall(MatDenseGetLDA(Y, &ldb));
1201   PetscCall(MatDenseGetArrayRead(X, &x));
1202   PetscCall(MatDenseGetArrayWrite(Y, &y));
1203   PetscCall(MatCreateDense(PetscObjectComm((PetscObject)jac->ksp[0]), m, PETSC_DECIDE, PETSC_DECIDE, N, (PetscScalar *)x, &sX));
1204   PetscCall(MatCreateDense(PetscObjectComm((PetscObject)jac->ksp[0]), m, PETSC_DECIDE, PETSC_DECIDE, N, y, &sY));
1205   PetscCall(MatDenseSetLDA(sX, lda));
1206   PetscCall(MatDenseSetLDA(sY, ldb));
1207   PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, jac->ksp[0], X, Y, 0));
1208   PetscCall(KSPMatSolve(jac->ksp[0], sX, sY));
1209   PetscCall(KSPCheckSolve(jac->ksp[0], pc, NULL));
1210   PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, jac->ksp[0], X, Y, 0));
1211   PetscCall(MatDestroy(&sY));
1212   PetscCall(MatDestroy(&sX));
1213   PetscCall(MatDenseRestoreArrayWrite(Y, &y));
1214   PetscCall(MatDenseRestoreArrayRead(X, &x));
1215   PetscCall(KSPGetConvergedReason(jac->ksp[0], &reason));
1216   if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
1217   PetscFunctionReturn(PETSC_SUCCESS);
1218 }
1219 
1220 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC pc)
1221 {
1222   PC_BJacobi           *jac   = (PC_BJacobi *)pc->data;
1223   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc *)jac->data;
1224   PetscInt              m, n;
1225   MPI_Comm              comm, subcomm = 0;
1226   const char           *prefix;
1227   PetscBool             wasSetup = PETSC_TRUE;
1228   VecType               vectype;
1229 
1230   PetscFunctionBegin;
1231   PetscCall(PetscObjectGetComm((PetscObject)pc, &comm));
1232   PetscCheck(jac->n_local <= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Only a single block in a subcommunicator is supported");
1233   jac->n_local = 1; /* currently only a single block is supported for a subcommunicator */
1234   if (!pc->setupcalled) {
1235     wasSetup = PETSC_FALSE;
1236     PetscCall(PetscNew(&mpjac));
1237     jac->data = (void *)mpjac;
1238 
1239     /* initialize datastructure mpjac */
1240     if (!jac->psubcomm) {
1241       /* Create default contiguous subcommunicatiors if user does not provide them */
1242       PetscCall(PetscSubcommCreate(comm, &jac->psubcomm));
1243       PetscCall(PetscSubcommSetNumber(jac->psubcomm, jac->n));
1244       PetscCall(PetscSubcommSetType(jac->psubcomm, PETSC_SUBCOMM_CONTIGUOUS));
1245     }
1246     mpjac->psubcomm = jac->psubcomm;
1247     subcomm         = PetscSubcommChild(mpjac->psubcomm);
1248 
1249     /* Get matrix blocks of pmat */
1250     PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_INITIAL_MATRIX, &mpjac->submats));
1251 
1252     /* create a new PC that processors in each subcomm have copy of */
1253     PetscCall(PetscMalloc1(1, &jac->ksp));
1254     PetscCall(KSPCreate(subcomm, &jac->ksp[0]));
1255     PetscCall(KSPSetErrorIfNotConverged(jac->ksp[0], pc->erroriffailure));
1256     PetscCall(PetscObjectIncrementTabLevel((PetscObject)jac->ksp[0], (PetscObject)pc, 1));
1257     PetscCall(KSPSetOperators(jac->ksp[0], mpjac->submats, mpjac->submats));
1258     PetscCall(KSPGetPC(jac->ksp[0], &mpjac->pc));
1259 
1260     PetscCall(PCGetOptionsPrefix(pc, &prefix));
1261     PetscCall(KSPSetOptionsPrefix(jac->ksp[0], prefix));
1262     PetscCall(KSPAppendOptionsPrefix(jac->ksp[0], "sub_"));
1263     PetscCall(KSPGetOptionsPrefix(jac->ksp[0], &prefix));
1264     PetscCall(MatSetOptionsPrefix(mpjac->submats, prefix));
1265 
1266     /* create dummy vectors xsub and ysub */
1267     PetscCall(MatGetLocalSize(mpjac->submats, &m, &n));
1268     PetscCall(VecCreateMPIWithArray(subcomm, 1, n, PETSC_DECIDE, NULL, &mpjac->xsub));
1269     PetscCall(VecCreateMPIWithArray(subcomm, 1, m, PETSC_DECIDE, NULL, &mpjac->ysub));
1270     PetscCall(MatGetVecType(mpjac->submats, &vectype));
1271     PetscCall(VecSetType(mpjac->xsub, vectype));
1272     PetscCall(VecSetType(mpjac->ysub, vectype));
1273 
1274     pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiproc;
1275     pc->ops->reset         = PCReset_BJacobi_Multiproc;
1276     pc->ops->destroy       = PCDestroy_BJacobi_Multiproc;
1277     pc->ops->apply         = PCApply_BJacobi_Multiproc;
1278     pc->ops->matapply      = PCMatApply_BJacobi_Multiproc;
1279   } else { /* pc->setupcalled */
1280     subcomm = PetscSubcommChild(mpjac->psubcomm);
1281     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
1282       /* destroy old matrix blocks, then get new matrix blocks */
1283       if (mpjac->submats) PetscCall(MatDestroy(&mpjac->submats));
1284       PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_INITIAL_MATRIX, &mpjac->submats));
1285     } else {
1286       PetscCall(MatGetMultiProcBlock(pc->pmat, subcomm, MAT_REUSE_MATRIX, &mpjac->submats));
1287     }
1288     PetscCall(KSPSetOperators(jac->ksp[0], mpjac->submats, mpjac->submats));
1289   }
1290 
1291   if (!wasSetup && pc->setfromoptionscalled) PetscCall(KSPSetFromOptions(jac->ksp[0]));
1292   PetscFunctionReturn(PETSC_SUCCESS);
1293 }
1294