xref: /petsc/src/ksp/pc/impls/bjacobi/bjacobi.c (revision e9e886b629ab065d906a34d979eb1e4bc2789fce)
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   PetscErrorCode ierr;
17   void           (*f)(void);
18   PetscInt       N,M,start,i,sum,end;
19   PetscInt       bs,i_start=-1,i_end=-1;
20   PetscMPIInt    rank,size;
21   const char     *pprefix,*mprefix;
22 
23   PetscFunctionBegin;
24   ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr);
25   ierr = MPI_Comm_size(PetscObjectComm((PetscObject)pc),&size);CHKERRQ(ierr);
26   ierr = MatGetLocalSize(pc->pmat,&M,&N);CHKERRQ(ierr);
27   ierr = MatGetBlockSize(pc->pmat,&bs);CHKERRQ(ierr);
28 
29   if (jac->n > 0 && jac->n < size) {
30     ierr = PCSetUp_BJacobi_Multiproc(pc);CHKERRQ(ierr);
31     PetscFunctionReturn(0);
32   }
33 
34   /* --------------------------------------------------------------------------
35       Determines the number of blocks assigned to each processor
36   -----------------------------------------------------------------------------*/
37 
38   /*   local block count  given */
39   if (jac->n_local > 0 && jac->n < 0) {
40     ierr = MPIU_Allreduce(&jac->n_local,&jac->n,1,MPIU_INT,MPI_SUM,PetscObjectComm((PetscObject)pc));CHKERRQ(ierr);
41     if (jac->l_lens) { /* check that user set these correctly */
42       sum = 0;
43       for (i=0; i<jac->n_local; i++) {
44         if (jac->l_lens[i]/bs*bs !=jac->l_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Mat blocksize doesn't match block Jacobi layout");
45         sum += jac->l_lens[i];
46       }
47       if (sum != M) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Local lens set incorrectly");
48     } else {
49       ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr);
50       for (i=0; i<jac->n_local; i++) jac->l_lens[i] = bs*((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i));
51     }
52   } else if (jac->n > 0 && jac->n_local < 0) { /* global block count given */
53     /* global blocks given: determine which ones are local */
54     if (jac->g_lens) {
55       /* check if the g_lens is has valid entries */
56       for (i=0; i<jac->n; i++) {
57         if (!jac->g_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Zero block not allowed");
58         if (jac->g_lens[i]/bs*bs != jac->g_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Mat blocksize doesn't match block Jacobi layout");
59       }
60       if (size == 1) {
61         jac->n_local = jac->n;
62         ierr         = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr);
63         ierr         = PetscMemcpy(jac->l_lens,jac->g_lens,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr);
64         /* check that user set these correctly */
65         sum = 0;
66         for (i=0; i<jac->n_local; i++) sum += jac->l_lens[i];
67         if (sum != M) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Global lens set incorrectly");
68       } else {
69         ierr = MatGetOwnershipRange(pc->pmat,&start,&end);CHKERRQ(ierr);
70         /* loop over blocks determing first one owned by me */
71         sum = 0;
72         for (i=0; i<jac->n+1; i++) {
73           if (sum == start) { i_start = i; goto start_1;}
74           if (i < jac->n) sum += jac->g_lens[i];
75         }
76         SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout");
77 start_1:
78         for (i=i_start; i<jac->n+1; i++) {
79           if (sum == end) { i_end = i; goto end_1; }
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         ierr         = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr);
86         ierr         = PetscMemcpy(jac->l_lens,jac->g_lens+i_start,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr);
87       }
88     } else { /* no global blocks given, determine then using default layout */
89       jac->n_local = jac->n/size + ((jac->n % size) > rank);
90       ierr         = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr);
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         if (!jac->l_lens[i]) SETERRQ(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     ierr           = PetscMalloc1(1,&jac->l_lens);CHKERRQ(ierr);
100     jac->l_lens[0] = M;
101   } else { /* jac->n > 0 && jac->n_local > 0 */
102     if (!jac->l_lens) {
103       ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr);
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   if (jac->n_local < 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Number of blocks is less than number of processors");
108 
109   /* -------------------------
110       Determines mat and pmat
111   ---------------------------*/
112   ierr = MatShellGetOperation(pc->mat,MATOP_GET_DIAGONAL_BLOCK,&f);CHKERRQ(ierr);
113   if (!f && size == 1) {
114     mat  = pc->mat;
115     pmat = pc->pmat;
116   } else {
117     if (pc->useAmat) {
118       /* use block from Amat matrix, not Pmat for local MatMult() */
119       ierr = MatGetDiagonalBlock(pc->mat,&mat);CHKERRQ(ierr);
120       /* make submatrix have same prefix as entire matrix */
121       ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->mat,&mprefix);CHKERRQ(ierr);
122       ierr = PetscObjectSetOptionsPrefix((PetscObject)mat,mprefix);CHKERRQ(ierr);
123     }
124     if (pc->pmat != pc->mat || !pc->useAmat) {
125       ierr = MatGetDiagonalBlock(pc->pmat,&pmat);CHKERRQ(ierr);
126       /* make submatrix have same prefix as entire matrix */
127       ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->pmat,&pprefix);CHKERRQ(ierr);
128       ierr = PetscObjectSetOptionsPrefix((PetscObject)pmat,pprefix);CHKERRQ(ierr);
129     } else pmat = mat;
130   }
131 
132   /* ------
133      Setup code depends on the number of blocks
134   */
135   if (jac->n_local == 1) {
136     ierr = PCSetUp_BJacobi_Singleblock(pc,mat,pmat);CHKERRQ(ierr);
137   } else {
138     ierr = PCSetUp_BJacobi_Multiblock(pc,mat,pmat);CHKERRQ(ierr);
139   }
140   PetscFunctionReturn(0);
141 }
142 
143 /* Default destroy, if it has never been setup */
144 static PetscErrorCode PCDestroy_BJacobi(PC pc)
145 {
146   PC_BJacobi     *jac = (PC_BJacobi*)pc->data;
147   PetscErrorCode ierr;
148 
149   PetscFunctionBegin;
150   ierr = PetscFree(jac->g_lens);CHKERRQ(ierr);
151   ierr = PetscFree(jac->l_lens);CHKERRQ(ierr);
152   ierr = PetscFree(pc->data);CHKERRQ(ierr);
153   PetscFunctionReturn(0);
154 }
155 
156 
157 static PetscErrorCode PCSetFromOptions_BJacobi(PetscOptionItems *PetscOptionsObject,PC pc)
158 {
159   PC_BJacobi     *jac = (PC_BJacobi*)pc->data;
160   PetscErrorCode ierr;
161   PetscInt       blocks,i;
162   PetscBool      flg;
163 
164   PetscFunctionBegin;
165   ierr = PetscOptionsHead(PetscOptionsObject,"Block Jacobi options");CHKERRQ(ierr);
166   ierr = PetscOptionsInt("-pc_bjacobi_blocks","Total number of blocks","PCBJacobiSetTotalBlocks",jac->n,&blocks,&flg);CHKERRQ(ierr);
167   if (flg) {
168     ierr = PCBJacobiSetTotalBlocks(pc,blocks,NULL);CHKERRQ(ierr);
169   }
170   if (jac->ksp) {
171     /* The sub-KSP has already been set up (e.g., PCSetUp_BJacobi_Singleblock), but KSPSetFromOptions was not called
172      * unless we had already been called. */
173     for (i=0; i<jac->n_local; i++) {
174       ierr = KSPSetFromOptions(jac->ksp[i]);CHKERRQ(ierr);
175     }
176   }
177   ierr = PetscOptionsTail();CHKERRQ(ierr);
178   PetscFunctionReturn(0);
179 }
180 
181 #include <petscdraw.h>
182 static PetscErrorCode PCView_BJacobi(PC pc,PetscViewer viewer)
183 {
184   PC_BJacobi           *jac   = (PC_BJacobi*)pc->data;
185   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data;
186   PetscErrorCode       ierr;
187   PetscMPIInt          rank;
188   PetscInt             i;
189   PetscBool            iascii,isstring,isdraw;
190   PetscViewer          sviewer;
191 
192   PetscFunctionBegin;
193   ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr);
194   ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr);
195   ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr);
196   if (iascii) {
197     if (pc->useAmat) {
198       ierr = PetscViewerASCIIPrintf(viewer,"  using Amat local matrix, number of blocks = %D\n",jac->n);CHKERRQ(ierr);
199     }
200     ierr = PetscViewerASCIIPrintf(viewer,"  number of blocks = %D\n",jac->n);CHKERRQ(ierr);
201     ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr);
202     if (jac->same_local_solves) {
203       ierr = PetscViewerASCIIPrintf(viewer,"  Local solve is same for all blocks, in the following KSP and PC objects:\n");CHKERRQ(ierr);
204       if (jac->ksp && !jac->psubcomm) {
205         ierr = PetscViewerGetSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
206         if (!rank) {
207           ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
208           ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr);
209           ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
210         }
211         ierr = PetscViewerRestoreSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
212       } else if (mpjac && jac->ksp && mpjac->psubcomm) {
213         ierr = PetscViewerGetSubViewer(viewer,mpjac->psubcomm->child,&sviewer);CHKERRQ(ierr);
214         if (!mpjac->psubcomm->color) {
215           ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
216           ierr = KSPView(*(jac->ksp),sviewer);CHKERRQ(ierr);
217           ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
218         }
219         ierr = PetscViewerRestoreSubViewer(viewer,mpjac->psubcomm->child,&sviewer);CHKERRQ(ierr);
220       }
221     } else {
222       PetscInt n_global;
223       ierr = MPIU_Allreduce(&jac->n_local,&n_global,1,MPIU_INT,MPI_MAX,PetscObjectComm((PetscObject)pc));CHKERRQ(ierr);
224       ierr = PetscViewerASCIIPushSynchronized(viewer);CHKERRQ(ierr);
225       ierr = PetscViewerASCIIPrintf(viewer,"  Local solve info for each block is in the following KSP and PC objects:\n");CHKERRQ(ierr);
226       ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] number of local blocks = %D, first local block number = %D\n",
227                                                 rank,jac->n_local,jac->first_local);CHKERRQ(ierr);
228       ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr);
229       ierr = PetscViewerGetSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
230       for (i=0; i<jac->n_local; i++) {
231         ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] local block number %D\n",rank,i);CHKERRQ(ierr);
232         ierr = KSPView(jac->ksp[i],sviewer);CHKERRQ(ierr);
233         ierr = PetscViewerASCIISynchronizedPrintf(viewer,"- - - - - - - - - - - - - - - - - -\n");CHKERRQ(ierr);
234       }
235       ierr = PetscViewerRestoreSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
236       ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr);
237       ierr = PetscViewerFlush(viewer);CHKERRQ(ierr);
238       ierr = PetscViewerASCIIPopSynchronized(viewer);CHKERRQ(ierr);
239     }
240   } else if (isstring) {
241     ierr = PetscViewerStringSPrintf(viewer," blks=%D",jac->n);CHKERRQ(ierr);
242     ierr = PetscViewerGetSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
243     if (jac->ksp) {ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr);}
244     ierr = PetscViewerRestoreSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr);
245   } else if (isdraw) {
246     PetscDraw draw;
247     char      str[25];
248     PetscReal x,y,bottom,h;
249 
250     ierr   = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr);
251     ierr   = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr);
252     ierr   = PetscSNPrintf(str,25,"Number blocks %D",jac->n);CHKERRQ(ierr);
253     ierr   = PetscDrawStringBoxed(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);CHKERRQ(ierr);
254     bottom = y - h;
255     ierr   = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr);
256     /* warning the communicator on viewer is different then on ksp in parallel */
257     if (jac->ksp) {ierr = KSPView(jac->ksp[0],viewer);CHKERRQ(ierr);}
258     ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr);
259   }
260   PetscFunctionReturn(0);
261 }
262 
263 /* -------------------------------------------------------------------------------------*/
264 
265 static PetscErrorCode  PCBJacobiGetSubKSP_BJacobi(PC pc,PetscInt *n_local,PetscInt *first_local,KSP **ksp)
266 {
267   PC_BJacobi *jac = (PC_BJacobi*)pc->data;;
268 
269   PetscFunctionBegin;
270   if (!pc->setupcalled) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Must call KSPSetUp() or PCSetUp() first");
271 
272   if (n_local) *n_local = jac->n_local;
273   if (first_local) *first_local = jac->first_local;
274   *ksp                   = jac->ksp;
275   jac->same_local_solves = PETSC_FALSE;        /* Assume that local solves are now different;
276                                                   not necessarily true though!  This flag is
277                                                   used only for PCView_BJacobi() */
278   PetscFunctionReturn(0);
279 }
280 
281 static PetscErrorCode  PCBJacobiSetTotalBlocks_BJacobi(PC pc,PetscInt blocks,PetscInt *lens)
282 {
283   PC_BJacobi     *jac = (PC_BJacobi*)pc->data;
284   PetscErrorCode ierr;
285 
286   PetscFunctionBegin;
287   if (pc->setupcalled > 0 && jac->n!=blocks) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ORDER,"Cannot alter number of blocks after PCSetUp()/KSPSetUp() has been called");
288   jac->n = blocks;
289   if (!lens) jac->g_lens = 0;
290   else {
291     ierr = PetscMalloc1(blocks,&jac->g_lens);CHKERRQ(ierr);
292     ierr = PetscLogObjectMemory((PetscObject)pc,blocks*sizeof(PetscInt));CHKERRQ(ierr);
293     ierr = PetscMemcpy(jac->g_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr);
294   }
295   PetscFunctionReturn(0);
296 }
297 
298 static PetscErrorCode  PCBJacobiGetTotalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[])
299 {
300   PC_BJacobi *jac = (PC_BJacobi*) pc->data;
301 
302   PetscFunctionBegin;
303   *blocks = jac->n;
304   if (lens) *lens = jac->g_lens;
305   PetscFunctionReturn(0);
306 }
307 
308 static PetscErrorCode  PCBJacobiSetLocalBlocks_BJacobi(PC pc,PetscInt blocks,const PetscInt lens[])
309 {
310   PC_BJacobi     *jac;
311   PetscErrorCode ierr;
312 
313   PetscFunctionBegin;
314   jac = (PC_BJacobi*)pc->data;
315 
316   jac->n_local = blocks;
317   if (!lens) jac->l_lens = 0;
318   else {
319     ierr = PetscMalloc1(blocks,&jac->l_lens);CHKERRQ(ierr);
320     ierr = PetscLogObjectMemory((PetscObject)pc,blocks*sizeof(PetscInt));CHKERRQ(ierr);
321     ierr = PetscMemcpy(jac->l_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr);
322   }
323   PetscFunctionReturn(0);
324 }
325 
326 static PetscErrorCode  PCBJacobiGetLocalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[])
327 {
328   PC_BJacobi *jac = (PC_BJacobi*) pc->data;
329 
330   PetscFunctionBegin;
331   *blocks = jac->n_local;
332   if (lens) *lens = jac->l_lens;
333   PetscFunctionReturn(0);
334 }
335 
336 /* -------------------------------------------------------------------------------------*/
337 
338 /*@C
339    PCBJacobiGetSubKSP - Gets the local KSP contexts for all blocks on
340    this processor.
341 
342    Note Collective
343 
344    Input Parameter:
345 .  pc - the preconditioner context
346 
347    Output Parameters:
348 +  n_local - the number of blocks on this processor, or NULL
349 .  first_local - the global number of the first block on this processor, or NULL
350 -  ksp - the array of KSP contexts
351 
352    Notes:
353    After PCBJacobiGetSubKSP() the array of KSP contexts is not to be freed.
354 
355    Currently for some matrix implementations only 1 block per processor
356    is supported.
357 
358    You must call KSPSetUp() or PCSetUp() before calling PCBJacobiGetSubKSP().
359 
360    Fortran Usage: You must pass in a KSP array that is large enough to contain all the local KSPs.
361       You can call PCBJacobiGetSubKSP(pc,nlocal,firstlocal,PETSC_NULL_KSP,ierr) to determine how large the
362       KSP array must be.
363 
364    Level: advanced
365 
366 .keywords:  block, Jacobi, get, sub, KSP, context
367 
368 .seealso: PCBJacobiGetSubKSP()
369 @*/
370 PetscErrorCode  PCBJacobiGetSubKSP(PC pc,PetscInt *n_local,PetscInt *first_local,KSP *ksp[])
371 {
372   PetscErrorCode ierr;
373 
374   PetscFunctionBegin;
375   PetscValidHeaderSpecific(pc,PC_CLASSID,1);
376   ierr = PetscUseMethod(pc,"PCBJacobiGetSubKSP_C",(PC,PetscInt*,PetscInt*,KSP **),(pc,n_local,first_local,ksp));CHKERRQ(ierr);
377   PetscFunctionReturn(0);
378 }
379 
380 /*@
381    PCBJacobiSetTotalBlocks - Sets the global number of blocks for the block
382    Jacobi preconditioner.
383 
384    Collective on PC
385 
386    Input Parameters:
387 +  pc - the preconditioner context
388 .  blocks - the number of blocks
389 -  lens - [optional] integer array containing the size of each block
390 
391    Options Database Key:
392 .  -pc_bjacobi_blocks <blocks> - Sets the number of global blocks
393 
394    Notes:
395    Currently only a limited number of blocking configurations are supported.
396    All processors sharing the PC must call this routine with the same data.
397 
398    Level: intermediate
399 
400 .keywords:  set, number, Jacobi, global, total, blocks
401 
402 .seealso: PCSetUseAmat(), PCBJacobiSetLocalBlocks()
403 @*/
404 PetscErrorCode  PCBJacobiSetTotalBlocks(PC pc,PetscInt blocks,const PetscInt lens[])
405 {
406   PetscErrorCode ierr;
407 
408   PetscFunctionBegin;
409   PetscValidHeaderSpecific(pc,PC_CLASSID,1);
410   if (blocks <= 0) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Must have positive blocks");
411   ierr = PetscTryMethod(pc,"PCBJacobiSetTotalBlocks_C",(PC,PetscInt,const PetscInt[]),(pc,blocks,lens));CHKERRQ(ierr);
412   PetscFunctionReturn(0);
413 }
414 
415 /*@C
416    PCBJacobiGetTotalBlocks - Gets the global number of blocks for the block
417    Jacobi preconditioner.
418 
419    Not Collective
420 
421    Input Parameter:
422 .  pc - the preconditioner context
423 
424    Output parameters:
425 +  blocks - the number of blocks
426 -  lens - integer array containing the size of each block
427 
428    Level: intermediate
429 
430 .keywords:  get, number, Jacobi, global, total, blocks
431 
432 .seealso: PCSetUseAmat(), PCBJacobiGetLocalBlocks()
433 @*/
434 PetscErrorCode  PCBJacobiGetTotalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[])
435 {
436   PetscErrorCode ierr;
437 
438   PetscFunctionBegin;
439   PetscValidHeaderSpecific(pc, PC_CLASSID,1);
440   PetscValidIntPointer(blocks,2);
441   ierr = PetscUseMethod(pc,"PCBJacobiGetTotalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr);
442   PetscFunctionReturn(0);
443 }
444 
445 /*@
446    PCBJacobiSetLocalBlocks - Sets the local number of blocks for the block
447    Jacobi preconditioner.
448 
449    Not Collective
450 
451    Input Parameters:
452 +  pc - the preconditioner context
453 .  blocks - the number of blocks
454 -  lens - [optional] integer array containing size of each block
455 
456    Note:
457    Currently only a limited number of blocking configurations are supported.
458 
459    Level: intermediate
460 
461 .keywords: PC, set, number, Jacobi, local, blocks
462 
463 .seealso: PCSetUseAmat(), PCBJacobiSetTotalBlocks()
464 @*/
465 PetscErrorCode  PCBJacobiSetLocalBlocks(PC pc,PetscInt blocks,const PetscInt lens[])
466 {
467   PetscErrorCode ierr;
468 
469   PetscFunctionBegin;
470   PetscValidHeaderSpecific(pc,PC_CLASSID,1);
471   if (blocks < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Must have nonegative blocks");
472   ierr = PetscTryMethod(pc,"PCBJacobiSetLocalBlocks_C",(PC,PetscInt,const PetscInt []),(pc,blocks,lens));CHKERRQ(ierr);
473   PetscFunctionReturn(0);
474 }
475 
476 /*@C
477    PCBJacobiGetLocalBlocks - Gets the local number of blocks for the block
478    Jacobi preconditioner.
479 
480    Not Collective
481 
482    Input Parameters:
483 +  pc - the preconditioner context
484 .  blocks - the number of blocks
485 -  lens - [optional] integer array containing size of each block
486 
487    Note:
488    Currently only a limited number of blocking configurations are supported.
489 
490    Level: intermediate
491 
492 .keywords: PC, get, number, Jacobi, local, blocks
493 
494 .seealso: PCSetUseAmat(), PCBJacobiGetTotalBlocks()
495 @*/
496 PetscErrorCode  PCBJacobiGetLocalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[])
497 {
498   PetscErrorCode ierr;
499 
500   PetscFunctionBegin;
501   PetscValidHeaderSpecific(pc, PC_CLASSID,1);
502   PetscValidIntPointer(blocks,2);
503   ierr = PetscUseMethod(pc,"PCBJacobiGetLocalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr);
504   PetscFunctionReturn(0);
505 }
506 
507 /* -----------------------------------------------------------------------------------*/
508 
509 /*MC
510    PCBJACOBI - Use block Jacobi preconditioning, each block is (approximately) solved with
511            its own KSP object.
512 
513    Options Database Keys:
514 +  -pc_use_amat - use Amat to apply block of operator in inner Krylov method
515 -  -pc_bjacobi_blocks <n> - use n total blocks
516 
517    Notes: Each processor can have one or more blocks, or a single block can be shared by several processes. Defaults to one block per processor.
518 
519      To set options on the solvers for each block append -sub_ to all the KSP, KSP, and PC
520         options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly
521 
522      To set the options on the solvers separate for each block call PCBJacobiGetSubKSP()
523          and set the options directly on the resulting KSP object (you can access its PC
524          KSPGetPC())
525 
526      For GPU-based vectors (CUDA, ViennaCL) it is recommended to use exactly one block per MPI process for best
527          performance.  Different block partitioning may lead to additional data transfers
528          between host and GPU that lead to degraded performance.
529 
530      The options prefix for each block is sub_, for example -sub_pc_type lu.
531 
532      When multiple processes share a single block, each block encompasses exactly all the unknowns owned its set of processes.
533 
534    Level: beginner
535 
536    Concepts: block Jacobi
537 
538 .seealso:  PCCreate(), PCSetType(), PCType (for list of available types), PC,
539            PCASM, PCSetUseAmat(), PCGetUseAmat(), PCBJacobiGetSubKSP(), PCBJacobiSetTotalBlocks(),
540            PCBJacobiSetLocalBlocks(), PCSetModifySubmatrices()
541 M*/
542 
543 PETSC_EXTERN PetscErrorCode PCCreate_BJacobi(PC pc)
544 {
545   PetscErrorCode ierr;
546   PetscMPIInt    rank;
547   PC_BJacobi     *jac;
548 
549   PetscFunctionBegin;
550   ierr = PetscNewLog(pc,&jac);CHKERRQ(ierr);
551   ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr);
552 
553   pc->ops->apply           = 0;
554   pc->ops->applytranspose  = 0;
555   pc->ops->setup           = PCSetUp_BJacobi;
556   pc->ops->destroy         = PCDestroy_BJacobi;
557   pc->ops->setfromoptions  = PCSetFromOptions_BJacobi;
558   pc->ops->view            = PCView_BJacobi;
559   pc->ops->applyrichardson = 0;
560 
561   pc->data               = (void*)jac;
562   jac->n                 = -1;
563   jac->n_local           = -1;
564   jac->first_local       = rank;
565   jac->ksp               = 0;
566   jac->same_local_solves = PETSC_TRUE;
567   jac->g_lens            = 0;
568   jac->l_lens            = 0;
569   jac->psubcomm          = 0;
570 
571   ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetSubKSP_C",PCBJacobiGetSubKSP_BJacobi);CHKERRQ(ierr);
572   ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiSetTotalBlocks_C",PCBJacobiSetTotalBlocks_BJacobi);CHKERRQ(ierr);
573   ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetTotalBlocks_C",PCBJacobiGetTotalBlocks_BJacobi);CHKERRQ(ierr);
574   ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiSetLocalBlocks_C",PCBJacobiSetLocalBlocks_BJacobi);CHKERRQ(ierr);
575   ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetLocalBlocks_C",PCBJacobiGetLocalBlocks_BJacobi);CHKERRQ(ierr);
576   PetscFunctionReturn(0);
577 }
578 
579 /* --------------------------------------------------------------------------------------------*/
580 /*
581         These are for a single block per processor; works for AIJ, BAIJ; Seq and MPI
582 */
583 static PetscErrorCode PCReset_BJacobi_Singleblock(PC pc)
584 {
585   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
586   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
587   PetscErrorCode         ierr;
588 
589   PetscFunctionBegin;
590   ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr);
591   ierr = VecDestroy(&bjac->x);CHKERRQ(ierr);
592   ierr = VecDestroy(&bjac->y);CHKERRQ(ierr);
593   PetscFunctionReturn(0);
594 }
595 
596 static PetscErrorCode PCDestroy_BJacobi_Singleblock(PC pc)
597 {
598   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
599   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
600   PetscErrorCode         ierr;
601 
602   PetscFunctionBegin;
603   ierr = PCReset_BJacobi_Singleblock(pc);CHKERRQ(ierr);
604   ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr);
605   ierr = PetscFree(jac->ksp);CHKERRQ(ierr);
606   ierr = PetscFree(jac->l_lens);CHKERRQ(ierr);
607   ierr = PetscFree(jac->g_lens);CHKERRQ(ierr);
608   ierr = PetscFree(bjac);CHKERRQ(ierr);
609   ierr = PetscFree(pc->data);CHKERRQ(ierr);
610   PetscFunctionReturn(0);
611 }
612 
613 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Singleblock(PC pc)
614 {
615   PetscErrorCode     ierr;
616   PC_BJacobi         *jac = (PC_BJacobi*)pc->data;
617   KSP                subksp = jac->ksp[0];
618   KSPConvergedReason reason;
619 
620   PetscFunctionBegin;
621   ierr = KSPSetUp(subksp);CHKERRQ(ierr);
622   ierr = KSPGetConvergedReason(subksp,&reason);CHKERRQ(ierr);
623   if (reason == KSP_DIVERGED_PCSETUP_FAILED) {
624     pc->failedreason = PC_SUBPC_ERROR;
625   }
626   PetscFunctionReturn(0);
627 }
628 
629 static PetscErrorCode PCApply_BJacobi_Singleblock(PC pc,Vec x,Vec y)
630 {
631   PetscErrorCode         ierr;
632   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
633   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
634 
635   PetscFunctionBegin;
636   ierr = VecGetLocalVectorRead(x, bjac->x);CHKERRQ(ierr);
637   ierr = VecGetLocalVector(y, bjac->y);CHKERRQ(ierr);
638  /* Since the inner KSP matrix may point directly to the diagonal block of an MPI matrix the inner
639      matrix may change even if the outter KSP/PC has not updated the preconditioner, this will trigger a rebuild
640      of the inner preconditioner automatically unless we pass down the outter preconditioners reuse flag.*/
641   ierr = KSPSetReusePreconditioner(jac->ksp[0],pc->reusepreconditioner);CHKERRQ(ierr);
642   ierr = KSPSolve(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr);
643   ierr = VecRestoreLocalVectorRead(x, bjac->x);CHKERRQ(ierr);
644   ierr = VecRestoreLocalVector(y, bjac->y);CHKERRQ(ierr);
645   PetscFunctionReturn(0);
646 }
647 
648 static PetscErrorCode PCApplySymmetricLeft_BJacobi_Singleblock(PC pc,Vec x,Vec y)
649 {
650   PetscErrorCode         ierr;
651   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
652   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
653   PetscScalar            *y_array;
654   const PetscScalar      *x_array;
655   PC                     subpc;
656 
657   PetscFunctionBegin;
658   /*
659       The VecPlaceArray() is to avoid having to copy the
660     y vector into the bjac->x vector. The reason for
661     the bjac->x vector is that we need a sequential vector
662     for the sequential solve.
663   */
664   ierr = VecGetArrayRead(x,&x_array);CHKERRQ(ierr);
665   ierr = VecGetArray(y,&y_array);CHKERRQ(ierr);
666   ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr);
667   ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr);
668   /* apply the symmetric left portion of the inner PC operator */
669   /* note this by-passes the inner KSP and its options completely */
670   ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr);
671   ierr = PCApplySymmetricLeft(subpc,bjac->x,bjac->y);CHKERRQ(ierr);
672   ierr = VecResetArray(bjac->x);CHKERRQ(ierr);
673   ierr = VecResetArray(bjac->y);CHKERRQ(ierr);
674   ierr = VecRestoreArrayRead(x,&x_array);CHKERRQ(ierr);
675   ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr);
676   PetscFunctionReturn(0);
677 }
678 
679 static PetscErrorCode PCApplySymmetricRight_BJacobi_Singleblock(PC pc,Vec x,Vec y)
680 {
681   PetscErrorCode         ierr;
682   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
683   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
684   PetscScalar            *y_array;
685   const PetscScalar      *x_array;
686   PC                     subpc;
687 
688   PetscFunctionBegin;
689   /*
690       The VecPlaceArray() is to avoid having to copy the
691     y vector into the bjac->x vector. The reason for
692     the bjac->x vector is that we need a sequential vector
693     for the sequential solve.
694   */
695   ierr = VecGetArrayRead(x,&x_array);CHKERRQ(ierr);
696   ierr = VecGetArray(y,&y_array);CHKERRQ(ierr);
697   ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr);
698   ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr);
699 
700   /* apply the symmetric right portion of the inner PC operator */
701   /* note this by-passes the inner KSP and its options completely */
702 
703   ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr);
704   ierr = PCApplySymmetricRight(subpc,bjac->x,bjac->y);CHKERRQ(ierr);
705 
706   ierr = VecRestoreArrayRead(x,&x_array);CHKERRQ(ierr);
707   ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr);
708   PetscFunctionReturn(0);
709 }
710 
711 static PetscErrorCode PCApplyTranspose_BJacobi_Singleblock(PC pc,Vec x,Vec y)
712 {
713   PetscErrorCode         ierr;
714   PC_BJacobi             *jac  = (PC_BJacobi*)pc->data;
715   PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data;
716   PetscScalar            *y_array;
717   const PetscScalar      *x_array;
718 
719   PetscFunctionBegin;
720   /*
721       The VecPlaceArray() is to avoid having to copy the
722     y vector into the bjac->x vector. The reason for
723     the bjac->x vector is that we need a sequential vector
724     for the sequential solve.
725   */
726   ierr = VecGetArrayRead(x,&x_array);CHKERRQ(ierr);
727   ierr = VecGetArray(y,&y_array);CHKERRQ(ierr);
728   ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr);
729   ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr);
730   ierr = KSPSolveTranspose(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr);
731   ierr = VecResetArray(bjac->x);CHKERRQ(ierr);
732   ierr = VecResetArray(bjac->y);CHKERRQ(ierr);
733   ierr = VecRestoreArrayRead(x,&x_array);CHKERRQ(ierr);
734   ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr);
735   PetscFunctionReturn(0);
736 }
737 
738 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC pc,Mat mat,Mat pmat)
739 {
740   PC_BJacobi             *jac = (PC_BJacobi*)pc->data;
741   PetscErrorCode         ierr;
742   PetscInt               m;
743   KSP                    ksp;
744   PC_BJacobi_Singleblock *bjac;
745   PetscBool              wasSetup = PETSC_TRUE;
746 #if defined(PETSC_HAVE_VECCUDA) || defined(PETSC_HAVE_VIENNACL)
747   PetscBool              is_gpumatrix = PETSC_FALSE;
748 #endif
749 
750   PetscFunctionBegin;
751   if (!pc->setupcalled) {
752     const char *prefix;
753 
754     if (!jac->ksp) {
755       wasSetup = PETSC_FALSE;
756 
757       ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr);
758       ierr = KSPSetErrorIfNotConverged(ksp,pc->erroriffailure);CHKERRQ(ierr);
759       ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr);
760       ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ksp);CHKERRQ(ierr);
761       ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr);
762       ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr);
763       ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr);
764       ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr);
765 
766       pc->ops->reset               = PCReset_BJacobi_Singleblock;
767       pc->ops->destroy             = PCDestroy_BJacobi_Singleblock;
768       pc->ops->apply               = PCApply_BJacobi_Singleblock;
769       pc->ops->applysymmetricleft  = PCApplySymmetricLeft_BJacobi_Singleblock;
770       pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Singleblock;
771       pc->ops->applytranspose      = PCApplyTranspose_BJacobi_Singleblock;
772       pc->ops->setuponblocks       = PCSetUpOnBlocks_BJacobi_Singleblock;
773 
774       ierr        = PetscMalloc1(1,&jac->ksp);CHKERRQ(ierr);
775       jac->ksp[0] = ksp;
776 
777       ierr      = PetscNewLog(pc,&bjac);CHKERRQ(ierr);
778       jac->data = (void*)bjac;
779     } else {
780       ksp  = jac->ksp[0];
781       bjac = (PC_BJacobi_Singleblock*)jac->data;
782     }
783 
784     /*
785       The reason we need to generate these vectors is to serve
786       as the right-hand side and solution vector for the solve on the
787       block. We do not need to allocate space for the vectors since
788       that is provided via VecPlaceArray() just before the call to
789       KSPSolve() on the block.
790     */
791     ierr = MatGetSize(pmat,&m,&m);CHKERRQ(ierr);
792     ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&bjac->x);CHKERRQ(ierr);
793     ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&bjac->y);CHKERRQ(ierr);
794 #if defined(PETSC_HAVE_VECCUDA)
795     ierr = PetscObjectTypeCompareAny((PetscObject)pmat,&is_gpumatrix,MATAIJCUSPARSE,MATSEQAIJCUSPARSE,MATMPIAIJCUSPARSE,"");CHKERRQ(ierr);
796     if (is_gpumatrix) {
797       ierr = VecSetType(bjac->x,VECCUDA);CHKERRQ(ierr);
798       ierr = VecSetType(bjac->y,VECCUDA);CHKERRQ(ierr);
799     }
800 #elif defined(PETSC_HAVE_VIENNACL)
801     ierr = PetscObjectTypeCompareAny((PetscObject)pmat,&is_gpumatrix,MATAIJVIENNACL,MATSEQAIJVIENNACL,MATMPIAIJVIENNACL,"");CHKERRQ(ierr);
802     if (is_gpumatrix) {
803       ierr = VecSetType(bjac->x,VECVIENNACL);CHKERRQ(ierr);
804       ierr = VecSetType(bjac->y,VECVIENNACL);CHKERRQ(ierr);
805     }
806 #endif
807     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->x);CHKERRQ(ierr);
808     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->y);CHKERRQ(ierr);
809   } else {
810     ksp  = jac->ksp[0];
811     bjac = (PC_BJacobi_Singleblock*)jac->data;
812   }
813   if (pc->useAmat) {
814     ierr = KSPSetOperators(ksp,mat,pmat);CHKERRQ(ierr);
815   } else {
816     ierr = KSPSetOperators(ksp,pmat,pmat);CHKERRQ(ierr);
817   }
818   if (!wasSetup && pc->setfromoptionscalled) {
819     /* If PCSetFromOptions_BJacobi is called later, KSPSetFromOptions will be called at that time. */
820     ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr);
821   }
822   PetscFunctionReturn(0);
823 }
824 
825 /* ---------------------------------------------------------------------------------------------*/
826 static PetscErrorCode PCReset_BJacobi_Multiblock(PC pc)
827 {
828   PC_BJacobi            *jac  = (PC_BJacobi*)pc->data;
829   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data;
830   PetscErrorCode        ierr;
831   PetscInt              i;
832 
833   PetscFunctionBegin;
834   if (bjac && bjac->pmat) {
835     ierr = MatDestroyMatrices(jac->n_local,&bjac->pmat);CHKERRQ(ierr);
836     if (pc->useAmat) {
837       ierr = MatDestroyMatrices(jac->n_local,&bjac->mat);CHKERRQ(ierr);
838     }
839   }
840 
841   for (i=0; i<jac->n_local; i++) {
842     ierr = KSPReset(jac->ksp[i]);CHKERRQ(ierr);
843     if (bjac && bjac->x) {
844       ierr = VecDestroy(&bjac->x[i]);CHKERRQ(ierr);
845       ierr = VecDestroy(&bjac->y[i]);CHKERRQ(ierr);
846       ierr = ISDestroy(&bjac->is[i]);CHKERRQ(ierr);
847     }
848   }
849   ierr = PetscFree(jac->l_lens);CHKERRQ(ierr);
850   ierr = PetscFree(jac->g_lens);CHKERRQ(ierr);
851   PetscFunctionReturn(0);
852 }
853 
854 static PetscErrorCode PCDestroy_BJacobi_Multiblock(PC pc)
855 {
856   PC_BJacobi            *jac  = (PC_BJacobi*)pc->data;
857   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data;
858   PetscErrorCode        ierr;
859   PetscInt              i;
860 
861   PetscFunctionBegin;
862   ierr = PCReset_BJacobi_Multiblock(pc);CHKERRQ(ierr);
863   if (bjac) {
864     ierr = PetscFree2(bjac->x,bjac->y);CHKERRQ(ierr);
865     ierr = PetscFree(bjac->starts);CHKERRQ(ierr);
866     ierr = PetscFree(bjac->is);CHKERRQ(ierr);
867   }
868   ierr = PetscFree(jac->data);CHKERRQ(ierr);
869   for (i=0; i<jac->n_local; i++) {
870     ierr = KSPDestroy(&jac->ksp[i]);CHKERRQ(ierr);
871   }
872   ierr = PetscFree(jac->ksp);CHKERRQ(ierr);
873   ierr = PetscFree(pc->data);CHKERRQ(ierr);
874   PetscFunctionReturn(0);
875 }
876 
877 static PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiblock(PC pc)
878 {
879   PC_BJacobi         *jac = (PC_BJacobi*)pc->data;
880   PetscErrorCode     ierr;
881   PetscInt           i,n_local = jac->n_local;
882   KSPConvergedReason reason;
883 
884   PetscFunctionBegin;
885   for (i=0; i<n_local; i++) {
886     ierr = KSPSetUp(jac->ksp[i]);CHKERRQ(ierr);
887     ierr = KSPGetConvergedReason(jac->ksp[i],&reason);CHKERRQ(ierr);
888     if (reason == KSP_DIVERGED_PCSETUP_FAILED) {
889       pc->failedreason = PC_SUBPC_ERROR;
890     }
891   }
892   PetscFunctionReturn(0);
893 }
894 
895 /*
896       Preconditioner for block Jacobi
897 */
898 static PetscErrorCode PCApply_BJacobi_Multiblock(PC pc,Vec x,Vec y)
899 {
900   PC_BJacobi            *jac = (PC_BJacobi*)pc->data;
901   PetscErrorCode        ierr;
902   PetscInt              i,n_local = jac->n_local;
903   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data;
904   PetscScalar           *yin;
905   const PetscScalar     *xin;
906 
907   PetscFunctionBegin;
908   ierr = VecGetArrayRead(x,&xin);CHKERRQ(ierr);
909   ierr = VecGetArray(y,&yin);CHKERRQ(ierr);
910   for (i=0; i<n_local; i++) {
911     /*
912        To avoid copying the subvector from x into a workspace we instead
913        make the workspace vector array point to the subpart of the array of
914        the global vector.
915     */
916     ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr);
917     ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr);
918 
919     ierr = PetscLogEventBegin(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr);
920     ierr = KSPSolve(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr);
921     ierr = PetscLogEventEnd(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr);
922 
923     ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr);
924     ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr);
925   }
926   ierr = VecRestoreArrayRead(x,&xin);CHKERRQ(ierr);
927   ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr);
928   PetscFunctionReturn(0);
929 }
930 
931 /*
932       Preconditioner for block Jacobi
933 */
934 static PetscErrorCode PCApplyTranspose_BJacobi_Multiblock(PC pc,Vec x,Vec y)
935 {
936   PC_BJacobi            *jac = (PC_BJacobi*)pc->data;
937   PetscErrorCode        ierr;
938   PetscInt              i,n_local = jac->n_local;
939   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data;
940   PetscScalar           *yin;
941   const PetscScalar     *xin;
942 
943   PetscFunctionBegin;
944   ierr = VecGetArrayRead(x,&xin);CHKERRQ(ierr);
945   ierr = VecGetArray(y,&yin);CHKERRQ(ierr);
946   for (i=0; i<n_local; i++) {
947     /*
948        To avoid copying the subvector from x into a workspace we instead
949        make the workspace vector array point to the subpart of the array of
950        the global vector.
951     */
952     ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr);
953     ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr);
954 
955     ierr = PetscLogEventBegin(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr);
956     ierr = KSPSolveTranspose(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr);
957     ierr = PetscLogEventEnd(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr);
958 
959     ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr);
960     ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr);
961   }
962   ierr = VecRestoreArrayRead(x,&xin);CHKERRQ(ierr);
963   ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr);
964   PetscFunctionReturn(0);
965 }
966 
967 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC pc,Mat mat,Mat pmat)
968 {
969   PC_BJacobi            *jac = (PC_BJacobi*)pc->data;
970   PetscErrorCode        ierr;
971   PetscInt              m,n_local,N,M,start,i;
972   const char            *prefix,*pprefix,*mprefix;
973   KSP                   ksp;
974   Vec                   x,y;
975   PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data;
976   PC                    subpc;
977   IS                    is;
978   MatReuse              scall;
979 #if defined(PETSC_HAVE_VECCUDA) || defined(PETSC_HAVE_VIENNACL)
980   PetscBool              is_gpumatrix = PETSC_FALSE;
981 #endif
982 
983   PetscFunctionBegin;
984   ierr = MatGetLocalSize(pc->pmat,&M,&N);CHKERRQ(ierr);
985 
986   n_local = jac->n_local;
987 
988   if (pc->useAmat) {
989     PetscBool same;
990     ierr = PetscObjectTypeCompare((PetscObject)mat,((PetscObject)pmat)->type_name,&same);CHKERRQ(ierr);
991     if (!same) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_INCOMP,"Matrices not of same type");
992   }
993 
994   if (!pc->setupcalled) {
995     scall = MAT_INITIAL_MATRIX;
996 
997     if (!jac->ksp) {
998       pc->ops->reset         = PCReset_BJacobi_Multiblock;
999       pc->ops->destroy       = PCDestroy_BJacobi_Multiblock;
1000       pc->ops->apply         = PCApply_BJacobi_Multiblock;
1001       pc->ops->applytranspose= PCApplyTranspose_BJacobi_Multiblock;
1002       pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiblock;
1003 
1004       ierr = PetscNewLog(pc,&bjac);CHKERRQ(ierr);
1005       ierr = PetscMalloc1(n_local,&jac->ksp);CHKERRQ(ierr);
1006       ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(KSP)));CHKERRQ(ierr);
1007       ierr = PetscMalloc2(n_local,&bjac->x,n_local,&bjac->y);CHKERRQ(ierr);
1008       ierr = PetscMalloc1(n_local,&bjac->starts);CHKERRQ(ierr);
1009       ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(PetscScalar)));CHKERRQ(ierr);
1010 
1011       jac->data = (void*)bjac;
1012       ierr      = PetscMalloc1(n_local,&bjac->is);CHKERRQ(ierr);
1013       ierr      = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(IS)));CHKERRQ(ierr);
1014 
1015       for (i=0; i<n_local; i++) {
1016         ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr);
1017         ierr = KSPSetErrorIfNotConverged(ksp,pc->erroriffailure);CHKERRQ(ierr);
1018         ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr);
1019         ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ksp);CHKERRQ(ierr);
1020         ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr);
1021         ierr = KSPGetPC(ksp,&subpc);CHKERRQ(ierr);
1022         ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr);
1023         ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr);
1024         ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr);
1025 
1026         jac->ksp[i] = ksp;
1027       }
1028     } else {
1029       bjac = (PC_BJacobi_Multiblock*)jac->data;
1030     }
1031 
1032     start = 0;
1033     for (i=0; i<n_local; i++) {
1034       m = jac->l_lens[i];
1035       /*
1036       The reason we need to generate these vectors is to serve
1037       as the right-hand side and solution vector for the solve on the
1038       block. We do not need to allocate space for the vectors since
1039       that is provided via VecPlaceArray() just before the call to
1040       KSPSolve() on the block.
1041 
1042       */
1043       ierr = VecCreateSeq(PETSC_COMM_SELF,m,&x);CHKERRQ(ierr);
1044       ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&y);CHKERRQ(ierr);
1045 #if defined(PETSC_HAVE_VECCUDA)
1046       ierr = PetscObjectTypeCompareAny((PetscObject)pmat,&is_gpumatrix,MATAIJCUSPARSE,MATSEQAIJCUSPARSE,MATMPIAIJCUSPARSE,"");CHKERRQ(ierr);
1047       if (is_gpumatrix) {
1048         ierr = VecSetType(x,VECCUDA);CHKERRQ(ierr);
1049         ierr = VecSetType(y,VECCUDA);CHKERRQ(ierr);
1050       }
1051 #elif defined(PETSC_HAVE_VIENNACL)
1052       ierr = PetscObjectTypeCompareAny((PetscObject)pmat,&is_gpumatrix,MATAIJVIENNACL,MATSEQAIJVIENNACL,MATMPIAIJVIENNACL,"");CHKERRQ(ierr);
1053       if (is_gpumatrix) {
1054         ierr = VecSetType(x,VECVIENNACL);CHKERRQ(ierr);
1055         ierr = VecSetType(y,VECVIENNACL);CHKERRQ(ierr);
1056       }
1057 #endif
1058       ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)x);CHKERRQ(ierr);
1059       ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)y);CHKERRQ(ierr);
1060 
1061       bjac->x[i]      = x;
1062       bjac->y[i]      = y;
1063       bjac->starts[i] = start;
1064 
1065       ierr        = ISCreateStride(PETSC_COMM_SELF,m,start,1,&is);CHKERRQ(ierr);
1066       bjac->is[i] = is;
1067       ierr        = PetscLogObjectParent((PetscObject)pc,(PetscObject)is);CHKERRQ(ierr);
1068 
1069       start += m;
1070     }
1071   } else {
1072     bjac = (PC_BJacobi_Multiblock*)jac->data;
1073     /*
1074        Destroy the blocks from the previous iteration
1075     */
1076     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
1077       ierr = MatDestroyMatrices(n_local,&bjac->pmat);CHKERRQ(ierr);
1078       if (pc->useAmat) {
1079         ierr = MatDestroyMatrices(n_local,&bjac->mat);CHKERRQ(ierr);
1080       }
1081       scall = MAT_INITIAL_MATRIX;
1082     } else scall = MAT_REUSE_MATRIX;
1083   }
1084 
1085   ierr = MatCreateSubMatrices(pmat,n_local,bjac->is,bjac->is,scall,&bjac->pmat);CHKERRQ(ierr);
1086   if (pc->useAmat) {
1087     ierr = PetscObjectGetOptionsPrefix((PetscObject)mat,&mprefix);CHKERRQ(ierr);
1088     ierr = MatCreateSubMatrices(mat,n_local,bjac->is,bjac->is,scall,&bjac->mat);CHKERRQ(ierr);
1089   }
1090   /* Return control to the user so that the submatrices can be modified (e.g., to apply
1091      different boundary conditions for the submatrices than for the global problem) */
1092   ierr = PCModifySubMatrices(pc,n_local,bjac->is,bjac->is,bjac->pmat,pc->modifysubmatricesP);CHKERRQ(ierr);
1093 
1094   ierr = PetscObjectGetOptionsPrefix((PetscObject)pmat,&pprefix);CHKERRQ(ierr);
1095   for (i=0; i<n_local; i++) {
1096     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->pmat[i]);CHKERRQ(ierr);
1097     ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->pmat[i],pprefix);CHKERRQ(ierr);
1098     if (pc->useAmat) {
1099       ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->mat[i]);CHKERRQ(ierr);
1100       ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->mat[i],mprefix);CHKERRQ(ierr);
1101       ierr = KSPSetOperators(jac->ksp[i],bjac->mat[i],bjac->pmat[i]);CHKERRQ(ierr);
1102     } else {
1103       ierr = KSPSetOperators(jac->ksp[i],bjac->pmat[i],bjac->pmat[i]);CHKERRQ(ierr);
1104     }
1105     if (pc->setfromoptionscalled) {
1106       ierr = KSPSetFromOptions(jac->ksp[i]);CHKERRQ(ierr);
1107     }
1108   }
1109   PetscFunctionReturn(0);
1110 }
1111 
1112 /* ---------------------------------------------------------------------------------------------*/
1113 /*
1114       These are for a single block with multiple processes;
1115 */
1116 static PetscErrorCode PCReset_BJacobi_Multiproc(PC pc)
1117 {
1118   PC_BJacobi           *jac   = (PC_BJacobi*)pc->data;
1119   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data;
1120   PetscErrorCode       ierr;
1121 
1122   PetscFunctionBegin;
1123   ierr = VecDestroy(&mpjac->ysub);CHKERRQ(ierr);
1124   ierr = VecDestroy(&mpjac->xsub);CHKERRQ(ierr);
1125   ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr);
1126   if (jac->ksp) {ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr);}
1127   PetscFunctionReturn(0);
1128 }
1129 
1130 static PetscErrorCode PCDestroy_BJacobi_Multiproc(PC pc)
1131 {
1132   PC_BJacobi           *jac   = (PC_BJacobi*)pc->data;
1133   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data;
1134   PetscErrorCode       ierr;
1135 
1136   PetscFunctionBegin;
1137   ierr = PCReset_BJacobi_Multiproc(pc);CHKERRQ(ierr);
1138   ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr);
1139   ierr = PetscFree(jac->ksp);CHKERRQ(ierr);
1140   ierr = PetscSubcommDestroy(&mpjac->psubcomm);CHKERRQ(ierr);
1141 
1142   ierr = PetscFree(mpjac);CHKERRQ(ierr);
1143   ierr = PetscFree(pc->data);CHKERRQ(ierr);
1144   PetscFunctionReturn(0);
1145 }
1146 
1147 static PetscErrorCode PCApply_BJacobi_Multiproc(PC pc,Vec x,Vec y)
1148 {
1149   PC_BJacobi           *jac   = (PC_BJacobi*)pc->data;
1150   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data;
1151   PetscErrorCode       ierr;
1152   PetscScalar          *yarray;
1153   const PetscScalar    *xarray;
1154   KSPConvergedReason   reason;
1155 
1156   PetscFunctionBegin;
1157   /* place x's and y's local arrays into xsub and ysub */
1158   ierr = VecGetArrayRead(x,&xarray);CHKERRQ(ierr);
1159   ierr = VecGetArray(y,&yarray);CHKERRQ(ierr);
1160   ierr = VecPlaceArray(mpjac->xsub,xarray);CHKERRQ(ierr);
1161   ierr = VecPlaceArray(mpjac->ysub,yarray);CHKERRQ(ierr);
1162 
1163   /* apply preconditioner on each matrix block */
1164   ierr = PetscLogEventBegin(PC_ApplyOnBlocks,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr);
1165   ierr = KSPSolve(jac->ksp[0],mpjac->xsub,mpjac->ysub);CHKERRQ(ierr);
1166   ierr = PetscLogEventEnd(PC_ApplyOnBlocks,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr);
1167   ierr = KSPGetConvergedReason(jac->ksp[0],&reason);CHKERRQ(ierr);
1168   if (reason == KSP_DIVERGED_PCSETUP_FAILED) {
1169     pc->failedreason = PC_SUBPC_ERROR;
1170   }
1171 
1172   ierr = VecResetArray(mpjac->xsub);CHKERRQ(ierr);
1173   ierr = VecResetArray(mpjac->ysub);CHKERRQ(ierr);
1174   ierr = VecRestoreArrayRead(x,&xarray);CHKERRQ(ierr);
1175   ierr = VecRestoreArray(y,&yarray);CHKERRQ(ierr);
1176   PetscFunctionReturn(0);
1177 }
1178 
1179 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC pc)
1180 {
1181   PC_BJacobi           *jac   = (PC_BJacobi*)pc->data;
1182   PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data;
1183   PetscErrorCode       ierr;
1184   PetscInt             m,n;
1185   MPI_Comm             comm,subcomm=0;
1186   const char           *prefix;
1187   PetscBool            wasSetup = PETSC_TRUE;
1188 #if defined(PETSC_HAVE_VECCUDA) || defined(PETSC_HAVE_VIENNACL)
1189   PetscBool              is_gpumatrix = PETSC_FALSE;
1190 #endif
1191 
1192 
1193   PetscFunctionBegin;
1194   ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr);
1195   if (jac->n_local > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Only a single block in a subcommunicator is supported");
1196   jac->n_local = 1; /* currently only a single block is supported for a subcommunicator */
1197   if (!pc->setupcalled) {
1198     wasSetup  = PETSC_FALSE;
1199     ierr      = PetscNewLog(pc,&mpjac);CHKERRQ(ierr);
1200     jac->data = (void*)mpjac;
1201 
1202     /* initialize datastructure mpjac */
1203     if (!jac->psubcomm) {
1204       /* Create default contiguous subcommunicatiors if user does not provide them */
1205       ierr = PetscSubcommCreate(comm,&jac->psubcomm);CHKERRQ(ierr);
1206       ierr = PetscSubcommSetNumber(jac->psubcomm,jac->n);CHKERRQ(ierr);
1207       ierr = PetscSubcommSetType(jac->psubcomm,PETSC_SUBCOMM_CONTIGUOUS);CHKERRQ(ierr);
1208       ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(PetscSubcomm));CHKERRQ(ierr);
1209     }
1210     mpjac->psubcomm = jac->psubcomm;
1211     subcomm         = PetscSubcommChild(mpjac->psubcomm);
1212 
1213     /* Get matrix blocks of pmat */
1214     ierr = MatGetMultiProcBlock(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr);
1215 
1216     /* create a new PC that processors in each subcomm have copy of */
1217     ierr = PetscMalloc1(1,&jac->ksp);CHKERRQ(ierr);
1218     ierr = KSPCreate(subcomm,&jac->ksp[0]);CHKERRQ(ierr);
1219     ierr = KSPSetErrorIfNotConverged(jac->ksp[0],pc->erroriffailure);CHKERRQ(ierr);
1220     ierr = PetscObjectIncrementTabLevel((PetscObject)jac->ksp[0],(PetscObject)pc,1);CHKERRQ(ierr);
1221     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)jac->ksp[0]);CHKERRQ(ierr);
1222     ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats);CHKERRQ(ierr);
1223     ierr = KSPGetPC(jac->ksp[0],&mpjac->pc);CHKERRQ(ierr);
1224 
1225     ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr);
1226     ierr = KSPSetOptionsPrefix(jac->ksp[0],prefix);CHKERRQ(ierr);
1227     ierr = KSPAppendOptionsPrefix(jac->ksp[0],"sub_");CHKERRQ(ierr);
1228     /*
1229       PetscMPIInt rank,subsize,subrank;
1230       ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr);
1231       ierr = MPI_Comm_size(subcomm,&subsize);CHKERRQ(ierr);
1232       ierr = MPI_Comm_rank(subcomm,&subrank);CHKERRQ(ierr);
1233 
1234       ierr = MatGetLocalSize(mpjac->submats,&m,NULL);CHKERRQ(ierr);
1235       ierr = MatGetSize(mpjac->submats,&n,NULL);CHKERRQ(ierr);
1236       ierr = PetscSynchronizedPrintf(comm,"[%d], sub-size %d,sub-rank %d\n",rank,subsize,subrank);
1237       ierr = PetscSynchronizedFlush(comm,PETSC_STDOUT);CHKERRQ(ierr);
1238     */
1239 
1240     /* create dummy vectors xsub and ysub */
1241     ierr = MatGetLocalSize(mpjac->submats,&m,&n);CHKERRQ(ierr);
1242     ierr = VecCreateMPIWithArray(subcomm,1,n,PETSC_DECIDE,NULL,&mpjac->xsub);CHKERRQ(ierr);
1243     ierr = VecCreateMPIWithArray(subcomm,1,m,PETSC_DECIDE,NULL,&mpjac->ysub);CHKERRQ(ierr);
1244 #if defined(PETSC_HAVE_VECCUDA)
1245     ierr = PetscObjectTypeCompareAny((PetscObject)mpjac->submats,&is_gpumatrix,MATAIJCUSPARSE,MATMPIAIJCUSPARSE,"");CHKERRQ(ierr);
1246     if (is_gpumatrix) {
1247       ierr = VecSetType(mpjac->xsub,VECMPICUDA);CHKERRQ(ierr);
1248       ierr = VecSetType(mpjac->ysub,VECMPICUDA);CHKERRQ(ierr);
1249     }
1250 #elif defined(PETSC_HAVE_VIENNACL)
1251     ierr = PetscObjectTypeCompareAny((PetscObject)mpjac->submats,&is_gpumatrix,MATAIJVIENNACL,MATMPIAIJVIENNACL,"");CHKERRQ(ierr);
1252     if (is_gpumatrix) {
1253       ierr = VecSetType(mpjac->xsub,VECMPIVIENNACL);CHKERRQ(ierr);
1254       ierr = VecSetType(mpjac->ysub,VECMPIVIENNACL);CHKERRQ(ierr);
1255     }
1256 #endif
1257     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)mpjac->xsub);CHKERRQ(ierr);
1258     ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)mpjac->ysub);CHKERRQ(ierr);
1259 
1260     pc->ops->reset   = PCReset_BJacobi_Multiproc;
1261     pc->ops->destroy = PCDestroy_BJacobi_Multiproc;
1262     pc->ops->apply   = PCApply_BJacobi_Multiproc;
1263   } else { /* pc->setupcalled */
1264     subcomm = PetscSubcommChild(mpjac->psubcomm);
1265     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
1266       /* destroy old matrix blocks, then get new matrix blocks */
1267       if (mpjac->submats) {ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr);}
1268       ierr = MatGetMultiProcBlock(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr);
1269     } else {
1270       ierr = MatGetMultiProcBlock(pc->pmat,subcomm,MAT_REUSE_MATRIX,&mpjac->submats);CHKERRQ(ierr);
1271     }
1272     ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats);CHKERRQ(ierr);
1273   }
1274 
1275   if (!wasSetup && pc->setfromoptionscalled) {
1276     ierr = KSPSetFromOptions(jac->ksp[0]);CHKERRQ(ierr);
1277   }
1278   PetscFunctionReturn(0);
1279 }
1280