xref: /petsc/src/ksp/pc/impls/asm/asm.c (revision 27f49a208b01d2e827ab9db411a2d16003fe9262)
1 /*
2   This file defines an additive Schwarz preconditioner for any Mat implementation.
3 
4   Note that each processor may have any number of subdomains. But in order to
5   deal easily with the VecScatter(), we treat each processor as if it has the
6   same number of subdomains.
7 
8        n - total number of true subdomains on all processors
9        n_local_true - actual number of subdomains on this processor
10        n_local = maximum over all processors of n_local_true
11 */
12 
13 #include <petsc/private/pcasmimpl.h> /*I "petscpc.h" I*/
14 #include "petsc/private/matimpl.h"
15 
16 static PetscErrorCode PCView_ASM(PC pc, PetscViewer viewer)
17 {
18   PC_ASM           *osm = (PC_ASM *)pc->data;
19   PetscMPIInt       rank;
20   PetscInt          i, bsz;
21   PetscBool         iascii, isstring;
22   PetscViewer       sviewer;
23   PetscViewerFormat format;
24   const char       *prefix;
25 
26   PetscFunctionBegin;
27   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
28   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
29   if (iascii) {
30     char overlaps[256] = "user-defined overlap", blocks[256] = "total subdomain blocks not yet set";
31     if (osm->overlap >= 0) PetscCall(PetscSNPrintf(overlaps, sizeof(overlaps), "amount of overlap = %" PetscInt_FMT, osm->overlap));
32     if (osm->n > 0) PetscCall(PetscSNPrintf(blocks, sizeof(blocks), "total subdomain blocks = %" PetscInt_FMT, osm->n));
33     PetscCall(PetscViewerASCIIPrintf(viewer, "  %s, %s\n", blocks, overlaps));
34     PetscCall(PetscViewerASCIIPrintf(viewer, "  restriction/interpolation type - %s\n", PCASMTypes[osm->type]));
35     if (osm->dm_subdomains) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: using DM to define subdomains\n"));
36     if (osm->loctype != PC_COMPOSITE_ADDITIVE) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: local solve composition type - %s\n", PCCompositeTypes[osm->loctype]));
37     PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
38     PetscCall(PetscViewerGetFormat(viewer, &format));
39     if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) {
40       if (osm->ksp) {
41         PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for first block is in the following KSP and PC objects on rank 0:\n"));
42         PetscCall(PCGetOptionsPrefix(pc, &prefix));
43         PetscCall(PetscViewerASCIIPrintf(viewer, "  Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : ""));
44         PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
45         if (rank == 0) {
46           PetscCall(PetscViewerASCIIPushTab(viewer));
47           PetscCall(KSPView(osm->ksp[0], sviewer));
48           PetscCall(PetscViewerASCIIPopTab(viewer));
49         }
50         PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
51       }
52     } else {
53       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
54       PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "  [%d] number of local blocks = %" PetscInt_FMT "\n", (int)rank, osm->n_local_true));
55       PetscCall(PetscViewerFlush(viewer));
56       PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for each block is in the following KSP and PC objects:\n"));
57       PetscCall(PetscViewerASCIIPushTab(viewer));
58       PetscCall(PetscViewerASCIIPrintf(viewer, "- - - - - - - - - - - - - - - - - -\n"));
59       PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
60       for (i = 0; i < osm->n_local_true; i++) {
61         PetscCall(ISGetLocalSize(osm->is[i], &bsz));
62         PetscCall(PetscViewerASCIISynchronizedPrintf(sviewer, "[%d] local block number %" PetscInt_FMT ", size = %" PetscInt_FMT "\n", (int)rank, i, bsz));
63         PetscCall(KSPView(osm->ksp[i], sviewer));
64         PetscCall(PetscViewerASCIISynchronizedPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n"));
65       }
66       PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
67       PetscCall(PetscViewerASCIIPopTab(viewer));
68       PetscCall(PetscViewerFlush(viewer));
69       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
70     }
71   } else if (isstring) {
72     PetscCall(PetscViewerStringSPrintf(viewer, " blocks=%" PetscInt_FMT ", overlap=%" PetscInt_FMT ", type=%s", osm->n, osm->overlap, PCASMTypes[osm->type]));
73     PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
74     if (osm->ksp) PetscCall(KSPView(osm->ksp[0], sviewer));
75     PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
76   }
77   PetscFunctionReturn(PETSC_SUCCESS);
78 }
79 
80 static PetscErrorCode PCASMPrintSubdomains(PC pc)
81 {
82   PC_ASM         *osm = (PC_ASM *)pc->data;
83   const char     *prefix;
84   char            fname[PETSC_MAX_PATH_LEN + 1];
85   PetscViewer     viewer, sviewer;
86   char           *s;
87   PetscInt        i, j, nidx;
88   const PetscInt *idx;
89   PetscMPIInt     rank, size;
90 
91   PetscFunctionBegin;
92   PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
93   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
94   PetscCall(PCGetOptionsPrefix(pc, &prefix));
95   PetscCall(PetscOptionsGetString(NULL, prefix, "-pc_asm_print_subdomains", fname, sizeof(fname), NULL));
96   if (fname[0] == 0) PetscCall(PetscStrncpy(fname, "stdout", sizeof(fname)));
97   PetscCall(PetscViewerASCIIOpen(PetscObjectComm((PetscObject)pc), fname, &viewer));
98   for (i = 0; i < osm->n_local; i++) {
99     if (i < osm->n_local_true) {
100       PetscCall(ISGetLocalSize(osm->is[i], &nidx));
101       PetscCall(ISGetIndices(osm->is[i], &idx));
102       /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
103 #define len 16 * (nidx + 1) + 512
104       PetscCall(PetscMalloc1(len, &s));
105       PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
106 #undef len
107       PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " with overlap:\n", rank, size, i));
108       for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
109       PetscCall(ISRestoreIndices(osm->is[i], &idx));
110       PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
111       PetscCall(PetscViewerDestroy(&sviewer));
112       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
113       PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
114       PetscCall(PetscViewerFlush(viewer));
115       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
116       PetscCall(PetscFree(s));
117       if (osm->is_local) {
118         /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
119 #define len 16 * (nidx + 1) + 512
120         PetscCall(PetscMalloc1(len, &s));
121         PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
122 #undef len
123         PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " without overlap:\n", rank, size, i));
124         PetscCall(ISGetLocalSize(osm->is_local[i], &nidx));
125         PetscCall(ISGetIndices(osm->is_local[i], &idx));
126         for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
127         PetscCall(ISRestoreIndices(osm->is_local[i], &idx));
128         PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
129         PetscCall(PetscViewerDestroy(&sviewer));
130         PetscCall(PetscViewerASCIIPushSynchronized(viewer));
131         PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
132         PetscCall(PetscViewerFlush(viewer));
133         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
134         PetscCall(PetscFree(s));
135       }
136     } else {
137       /* Participate in collective viewer calls. */
138       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
139       PetscCall(PetscViewerFlush(viewer));
140       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
141       /* Assume either all ranks have is_local or none do. */
142       if (osm->is_local) {
143         PetscCall(PetscViewerASCIIPushSynchronized(viewer));
144         PetscCall(PetscViewerFlush(viewer));
145         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
146       }
147     }
148   }
149   PetscCall(PetscViewerFlush(viewer));
150   PetscCall(PetscViewerDestroy(&viewer));
151   PetscFunctionReturn(PETSC_SUCCESS);
152 }
153 
154 static PetscErrorCode PCSetUp_ASM(PC pc)
155 {
156   PC_ASM     *osm = (PC_ASM *)pc->data;
157   PetscBool   flg;
158   PetscInt    i, m, m_local;
159   MatReuse    scall = MAT_REUSE_MATRIX;
160   IS          isl;
161   KSP         ksp;
162   PC          subpc;
163   const char *prefix, *pprefix;
164   Vec         vec;
165   DM         *domain_dm = NULL;
166 
167   PetscFunctionBegin;
168   if (!pc->setupcalled) {
169     PetscInt m;
170 
171     /* Note: if subdomains have been set either via PCASMSetTotalSubdomains() or via PCASMSetLocalSubdomains(), osm->n_local_true will not be PETSC_DECIDE */
172     if (osm->n_local_true == PETSC_DECIDE) {
173       /* no subdomains given */
174       /* try pc->dm first, if allowed */
175       if (osm->dm_subdomains && pc->dm) {
176         PetscInt num_domains, d;
177         char   **domain_names;
178         IS      *inner_domain_is, *outer_domain_is;
179         PetscCall(DMCreateDomainDecomposition(pc->dm, &num_domains, &domain_names, &inner_domain_is, &outer_domain_is, &domain_dm));
180         osm->overlap = -1; /* We do not want to increase the overlap of the IS.
181                               A future improvement of this code might allow one to use
182                               DM-defined subdomains and also increase the overlap,
183                               but that is not currently supported */
184         if (num_domains) PetscCall(PCASMSetLocalSubdomains(pc, num_domains, outer_domain_is, inner_domain_is));
185         for (d = 0; d < num_domains; ++d) {
186           if (domain_names) PetscCall(PetscFree(domain_names[d]));
187           if (inner_domain_is) PetscCall(ISDestroy(&inner_domain_is[d]));
188           if (outer_domain_is) PetscCall(ISDestroy(&outer_domain_is[d]));
189         }
190         PetscCall(PetscFree(domain_names));
191         PetscCall(PetscFree(inner_domain_is));
192         PetscCall(PetscFree(outer_domain_is));
193       }
194       if (osm->n_local_true == PETSC_DECIDE) {
195         /* still no subdomains; use one subdomain per processor */
196         osm->n_local_true = 1;
197       }
198     }
199     { /* determine the global and max number of subdomains */
200       struct {
201         PetscInt max, sum;
202       } inwork, outwork;
203       PetscMPIInt size;
204 
205       inwork.max = osm->n_local_true;
206       inwork.sum = osm->n_local_true;
207       PetscCall(MPIU_Allreduce(&inwork, &outwork, 1, MPIU_2INT, MPIU_MAXSUM_OP, PetscObjectComm((PetscObject)pc)));
208       osm->n_local = outwork.max;
209       osm->n       = outwork.sum;
210 
211       PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
212       if (outwork.max == 1 && outwork.sum == size) {
213         /* osm->n_local_true = 1 on all processes, set this option may enable use of optimized MatCreateSubMatrices() implementation */
214         PetscCall(MatSetOption(pc->pmat, MAT_SUBMAT_SINGLEIS, PETSC_TRUE));
215       }
216     }
217     if (!osm->is) { /* create the index sets */
218       PetscCall(PCASMCreateSubdomains(pc->pmat, osm->n_local_true, &osm->is));
219     }
220     if (osm->n_local_true > 1 && !osm->is_local) {
221       PetscCall(PetscMalloc1(osm->n_local_true, &osm->is_local));
222       for (i = 0; i < osm->n_local_true; i++) {
223         if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
224           PetscCall(ISDuplicate(osm->is[i], &osm->is_local[i]));
225           PetscCall(ISCopy(osm->is[i], osm->is_local[i]));
226         } else {
227           PetscCall(PetscObjectReference((PetscObject)osm->is[i]));
228           osm->is_local[i] = osm->is[i];
229         }
230       }
231     }
232     PetscCall(PCGetOptionsPrefix(pc, &prefix));
233     if (osm->overlap > 0) {
234       /* Extend the "overlapping" regions by a number of steps */
235       PetscCall(MatIncreaseOverlap(pc->pmat, osm->n_local_true, osm->is, osm->overlap));
236     }
237     if (osm->sort_indices) {
238       for (i = 0; i < osm->n_local_true; i++) {
239         PetscCall(ISSort(osm->is[i]));
240         if (osm->is_local) PetscCall(ISSort(osm->is_local[i]));
241       }
242     }
243     flg = PETSC_FALSE;
244     PetscCall(PetscOptionsHasName(NULL, prefix, "-pc_asm_print_subdomains", &flg));
245     if (flg) PetscCall(PCASMPrintSubdomains(pc));
246     if (!osm->ksp) {
247       /* Create the local solvers */
248       PetscCall(PetscMalloc1(osm->n_local_true, &osm->ksp));
249       if (domain_dm) PetscCall(PetscInfo(pc, "Setting up ASM subproblems using the embedded DM\n"));
250       for (i = 0; i < osm->n_local_true; i++) {
251         PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp));
252         PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure));
253         PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1));
254         PetscCall(KSPSetType(ksp, KSPPREONLY));
255         PetscCall(KSPGetPC(ksp, &subpc));
256         PetscCall(PCGetOptionsPrefix(pc, &prefix));
257         PetscCall(KSPSetOptionsPrefix(ksp, prefix));
258         PetscCall(KSPAppendOptionsPrefix(ksp, "sub_"));
259         if (domain_dm) {
260           PetscCall(KSPSetDM(ksp, domain_dm[i]));
261           PetscCall(KSPSetDMActive(ksp, PETSC_FALSE));
262           PetscCall(DMDestroy(&domain_dm[i]));
263         }
264         osm->ksp[i] = ksp;
265       }
266       if (domain_dm) PetscCall(PetscFree(domain_dm));
267     }
268 
269     PetscCall(ISConcatenate(PETSC_COMM_SELF, osm->n_local_true, osm->is, &osm->lis));
270     PetscCall(ISSortRemoveDups(osm->lis));
271     PetscCall(ISGetLocalSize(osm->lis, &m));
272 
273     scall = MAT_INITIAL_MATRIX;
274   } else {
275     /*
276        Destroy the blocks from the previous iteration
277     */
278     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
279       PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->pmat));
280       scall = MAT_INITIAL_MATRIX;
281     }
282   }
283 
284   /* Destroy previous submatrices of a different type than pc->pmat since MAT_REUSE_MATRIX won't work in that case */
285   if (scall == MAT_REUSE_MATRIX && osm->sub_mat_type) {
286     if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
287     scall = MAT_INITIAL_MATRIX;
288   }
289 
290   /*
291      Extract out the submatrices
292   */
293   PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, osm->is, scall, &osm->pmat));
294   if (scall == MAT_INITIAL_MATRIX) {
295     PetscCall(PetscObjectGetOptionsPrefix((PetscObject)pc->pmat, &pprefix));
296     for (i = 0; i < osm->n_local_true; i++) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i], pprefix));
297   }
298 
299   /* Convert the types of the submatrices (if needbe) */
300   if (osm->sub_mat_type) {
301     for (i = 0; i < osm->n_local_true; i++) PetscCall(MatConvert(osm->pmat[i], osm->sub_mat_type, MAT_INPLACE_MATRIX, &(osm->pmat[i])));
302   }
303 
304   if (!pc->setupcalled) {
305     VecType vtype;
306 
307     /* Create the local work vectors (from the local matrices) and scatter contexts */
308     PetscCall(MatCreateVecs(pc->pmat, &vec, NULL));
309 
310     PetscCheck(!osm->is_local || (osm->type != PC_ASM_INTERPOLATE && osm->type != PC_ASM_NONE), PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Cannot use interpolate or none PCASMType if is_local was provided to PCASMSetLocalSubdomains()");
311     if (osm->is_local && osm->type == PC_ASM_RESTRICT && osm->loctype == PC_COMPOSITE_ADDITIVE) PetscCall(PetscMalloc1(osm->n_local_true, &osm->lprolongation));
312     PetscCall(PetscMalloc1(osm->n_local_true, &osm->lrestriction));
313     PetscCall(PetscMalloc1(osm->n_local_true, &osm->x));
314     PetscCall(PetscMalloc1(osm->n_local_true, &osm->y));
315 
316     PetscCall(ISGetLocalSize(osm->lis, &m));
317     PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
318     PetscCall(MatGetVecType(osm->pmat[0], &vtype));
319     PetscCall(VecCreate(PETSC_COMM_SELF, &osm->lx));
320     PetscCall(VecSetSizes(osm->lx, m, m));
321     PetscCall(VecSetType(osm->lx, vtype));
322     PetscCall(VecDuplicate(osm->lx, &osm->ly));
323     PetscCall(VecScatterCreate(vec, osm->lis, osm->lx, isl, &osm->restriction));
324     PetscCall(ISDestroy(&isl));
325 
326     for (i = 0; i < osm->n_local_true; ++i) {
327       ISLocalToGlobalMapping ltog;
328       IS                     isll;
329       const PetscInt        *idx_is;
330       PetscInt              *idx_lis, nout;
331 
332       PetscCall(ISGetLocalSize(osm->is[i], &m));
333       PetscCall(MatCreateVecs(osm->pmat[i], &osm->x[i], NULL));
334       PetscCall(VecDuplicate(osm->x[i], &osm->y[i]));
335 
336       /* generate a scatter from ly to y[i] picking all the overlapping is[i] entries */
337       PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
338       PetscCall(ISGetLocalSize(osm->is[i], &m));
339       PetscCall(ISGetIndices(osm->is[i], &idx_is));
340       PetscCall(PetscMalloc1(m, &idx_lis));
341       PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m, idx_is, &nout, idx_lis));
342       PetscCheck(nout == m, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is not a subset of lis");
343       PetscCall(ISRestoreIndices(osm->is[i], &idx_is));
344       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, idx_lis, PETSC_OWN_POINTER, &isll));
345       PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
346       PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
347       PetscCall(VecScatterCreate(osm->ly, isll, osm->y[i], isl, &osm->lrestriction[i]));
348       PetscCall(ISDestroy(&isll));
349       PetscCall(ISDestroy(&isl));
350       if (osm->lprolongation) { /* generate a scatter from y[i] to ly picking only the the non-overlapping is_local[i] entries */
351         ISLocalToGlobalMapping ltog;
352         IS                     isll, isll_local;
353         const PetscInt        *idx_local;
354         PetscInt              *idx1, *idx2, nout;
355 
356         PetscCall(ISGetLocalSize(osm->is_local[i], &m_local));
357         PetscCall(ISGetIndices(osm->is_local[i], &idx_local));
358 
359         PetscCall(ISLocalToGlobalMappingCreateIS(osm->is[i], &ltog));
360         PetscCall(PetscMalloc1(m_local, &idx1));
361         PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx1));
362         PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
363         PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of is");
364         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx1, PETSC_OWN_POINTER, &isll));
365 
366         PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
367         PetscCall(PetscMalloc1(m_local, &idx2));
368         PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx2));
369         PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
370         PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of lis");
371         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx2, PETSC_OWN_POINTER, &isll_local));
372 
373         PetscCall(ISRestoreIndices(osm->is_local[i], &idx_local));
374         PetscCall(VecScatterCreate(osm->y[i], isll, osm->ly, isll_local, &osm->lprolongation[i]));
375 
376         PetscCall(ISDestroy(&isll));
377         PetscCall(ISDestroy(&isll_local));
378       }
379     }
380     PetscCall(VecDestroy(&vec));
381   }
382 
383   if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
384     IS      *cis;
385     PetscInt c;
386 
387     PetscCall(PetscMalloc1(osm->n_local_true, &cis));
388     for (c = 0; c < osm->n_local_true; ++c) cis[c] = osm->lis;
389     PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, cis, scall, &osm->lmats));
390     PetscCall(PetscFree(cis));
391   }
392 
393   /* Return control to the user so that the submatrices can be modified (e.g., to apply
394      different boundary conditions for the submatrices than for the global problem) */
395   PetscCall(PCModifySubMatrices(pc, osm->n_local_true, osm->is, osm->is, osm->pmat, pc->modifysubmatricesP));
396 
397   /*
398      Loop over subdomains putting them into local ksp
399   */
400   PetscCall(KSPGetOptionsPrefix(osm->ksp[0], &prefix));
401   for (i = 0; i < osm->n_local_true; i++) {
402     PetscCall(KSPSetOperators(osm->ksp[i], osm->pmat[i], osm->pmat[i]));
403     PetscCall(MatSetOptionsPrefix(osm->pmat[i], prefix));
404     if (!pc->setupcalled) PetscCall(KSPSetFromOptions(osm->ksp[i]));
405   }
406   PetscFunctionReturn(PETSC_SUCCESS);
407 }
408 
409 static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc)
410 {
411   PC_ASM            *osm = (PC_ASM *)pc->data;
412   PetscInt           i;
413   KSPConvergedReason reason;
414 
415   PetscFunctionBegin;
416   for (i = 0; i < osm->n_local_true; i++) {
417     PetscCall(KSPSetUp(osm->ksp[i]));
418     PetscCall(KSPGetConvergedReason(osm->ksp[i], &reason));
419     if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
420   }
421   PetscFunctionReturn(PETSC_SUCCESS);
422 }
423 
424 static PetscErrorCode PCApply_ASM(PC pc, Vec x, Vec y)
425 {
426   PC_ASM     *osm = (PC_ASM *)pc->data;
427   PetscInt    i, n_local_true = osm->n_local_true;
428   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
429 
430   PetscFunctionBegin;
431   /*
432      support for limiting the restriction or interpolation to only local
433      subdomain values (leaving the other values 0).
434   */
435   if (!(osm->type & PC_ASM_RESTRICT)) {
436     forward = SCATTER_FORWARD_LOCAL;
437     /* have to zero the work RHS since scatter may leave some slots empty */
438     PetscCall(VecSet(osm->lx, 0.0));
439   }
440   if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;
441 
442   PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]);
443   /* zero the global and the local solutions */
444   PetscCall(VecSet(y, 0.0));
445   PetscCall(VecSet(osm->ly, 0.0));
446 
447   /* copy the global RHS to local RHS including the ghost nodes */
448   PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
449   PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
450 
451   /* restrict local RHS to the overlapping 0-block RHS */
452   PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
453   PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
454 
455   /* do the local solves */
456   for (i = 0; i < n_local_true; ++i) {
457     /* solve the overlapping i-block */
458     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
459     PetscCall(KSPSolve(osm->ksp[i], osm->x[i], osm->y[i]));
460     PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
461     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
462 
463     if (osm->lprolongation) { /* interpolate the non-overlapping i-block solution to the local solution (only for restrictive additive) */
464       PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
465       PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
466     } else { /* interpolate the overlapping i-block solution to the local solution */
467       PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
468       PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
469     }
470 
471     if (i < n_local_true - 1) {
472       /* restrict local RHS to the overlapping (i+1)-block RHS */
473       PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
474       PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
475 
476       if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
477         /* update the overlapping (i+1)-block RHS using the current local solution */
478         PetscCall(MatMult(osm->lmats[i + 1], osm->ly, osm->y[i + 1]));
479         PetscCall(VecAXPBY(osm->x[i + 1], -1., 1., osm->y[i + 1]));
480       }
481     }
482   }
483   /* add the local solution to the global solution including the ghost nodes */
484   PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
485   PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
486   PetscFunctionReturn(PETSC_SUCCESS);
487 }
488 
489 static PetscErrorCode PCMatApply_ASM(PC pc, Mat X, Mat Y)
490 {
491   PC_ASM     *osm = (PC_ASM *)pc->data;
492   Mat         Z, W;
493   Vec         x;
494   PetscInt    i, m, N;
495   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
496 
497   PetscFunctionBegin;
498   PetscCheck(osm->n_local_true <= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Not yet implemented");
499   /*
500      support for limiting the restriction or interpolation to only local
501      subdomain values (leaving the other values 0).
502   */
503   if (!(osm->type & PC_ASM_RESTRICT)) {
504     forward = SCATTER_FORWARD_LOCAL;
505     /* have to zero the work RHS since scatter may leave some slots empty */
506     PetscCall(VecSet(osm->lx, 0.0));
507   }
508   if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;
509   PetscCall(VecGetLocalSize(osm->x[0], &m));
510   PetscCall(MatGetSize(X, NULL, &N));
511   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &Z));
512 
513   PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]);
514   /* zero the global and the local solutions */
515   PetscCall(MatZeroEntries(Y));
516   PetscCall(VecSet(osm->ly, 0.0));
517 
518   for (i = 0; i < N; ++i) {
519     PetscCall(MatDenseGetColumnVecRead(X, i, &x));
520     /* copy the global RHS to local RHS including the ghost nodes */
521     PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
522     PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
523     PetscCall(MatDenseRestoreColumnVecRead(X, i, &x));
524 
525     PetscCall(MatDenseGetColumnVecWrite(Z, i, &x));
526     /* restrict local RHS to the overlapping 0-block RHS */
527     PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
528     PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
529     PetscCall(MatDenseRestoreColumnVecWrite(Z, i, &x));
530   }
531   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &W));
532   /* solve the overlapping 0-block */
533   PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
534   PetscCall(KSPMatSolve(osm->ksp[0], Z, W));
535   PetscCall(KSPCheckSolve(osm->ksp[0], pc, NULL));
536   PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
537   PetscCall(MatDestroy(&Z));
538 
539   for (i = 0; i < N; ++i) {
540     PetscCall(VecSet(osm->ly, 0.0));
541     PetscCall(MatDenseGetColumnVecRead(W, i, &x));
542     if (osm->lprolongation) { /* interpolate the non-overlapping 0-block solution to the local solution (only for restrictive additive) */
543       PetscCall(VecScatterBegin(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
544       PetscCall(VecScatterEnd(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
545     } else { /* interpolate the overlapping 0-block solution to the local solution */
546       PetscCall(VecScatterBegin(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
547       PetscCall(VecScatterEnd(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
548     }
549     PetscCall(MatDenseRestoreColumnVecRead(W, i, &x));
550 
551     PetscCall(MatDenseGetColumnVecWrite(Y, i, &x));
552     /* add the local solution to the global solution including the ghost nodes */
553     PetscCall(VecScatterBegin(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
554     PetscCall(VecScatterEnd(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
555     PetscCall(MatDenseRestoreColumnVecWrite(Y, i, &x));
556   }
557   PetscCall(MatDestroy(&W));
558   PetscFunctionReturn(PETSC_SUCCESS);
559 }
560 
561 static PetscErrorCode PCApplyTranspose_ASM(PC pc, Vec x, Vec y)
562 {
563   PC_ASM     *osm = (PC_ASM *)pc->data;
564   PetscInt    i, n_local_true = osm->n_local_true;
565   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
566 
567   PetscFunctionBegin;
568   /*
569      Support for limiting the restriction or interpolation to only local
570      subdomain values (leaving the other values 0).
571 
572      Note: these are reversed from the PCApply_ASM() because we are applying the
573      transpose of the three terms
574   */
575 
576   if (!(osm->type & PC_ASM_INTERPOLATE)) {
577     forward = SCATTER_FORWARD_LOCAL;
578     /* have to zero the work RHS since scatter may leave some slots empty */
579     PetscCall(VecSet(osm->lx, 0.0));
580   }
581   if (!(osm->type & PC_ASM_RESTRICT)) reverse = SCATTER_REVERSE_LOCAL;
582 
583   /* zero the global and the local solutions */
584   PetscCall(VecSet(y, 0.0));
585   PetscCall(VecSet(osm->ly, 0.0));
586 
587   /* Copy the global RHS to local RHS including the ghost nodes */
588   PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
589   PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
590 
591   /* Restrict local RHS to the overlapping 0-block RHS */
592   PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
593   PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
594 
595   /* do the local solves */
596   for (i = 0; i < n_local_true; ++i) {
597     /* solve the overlapping i-block */
598     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
599     PetscCall(KSPSolveTranspose(osm->ksp[i], osm->x[i], osm->y[i]));
600     PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
601     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
602 
603     if (osm->lprolongation) { /* interpolate the non-overlapping i-block solution to the local solution */
604       PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
605       PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
606     } else { /* interpolate the overlapping i-block solution to the local solution */
607       PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
608       PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
609     }
610 
611     if (i < n_local_true - 1) {
612       /* Restrict local RHS to the overlapping (i+1)-block RHS */
613       PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
614       PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
615     }
616   }
617   /* Add the local solution to the global solution including the ghost nodes */
618   PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
619   PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
620   PetscFunctionReturn(PETSC_SUCCESS);
621 }
622 
623 static PetscErrorCode PCReset_ASM(PC pc)
624 {
625   PC_ASM  *osm = (PC_ASM *)pc->data;
626   PetscInt i;
627 
628   PetscFunctionBegin;
629   if (osm->ksp) {
630     for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPReset(osm->ksp[i]));
631   }
632   if (osm->pmat) {
633     if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
634   }
635   if (osm->lrestriction) {
636     PetscCall(VecScatterDestroy(&osm->restriction));
637     for (i = 0; i < osm->n_local_true; i++) {
638       PetscCall(VecScatterDestroy(&osm->lrestriction[i]));
639       if (osm->lprolongation) PetscCall(VecScatterDestroy(&osm->lprolongation[i]));
640       PetscCall(VecDestroy(&osm->x[i]));
641       PetscCall(VecDestroy(&osm->y[i]));
642     }
643     PetscCall(PetscFree(osm->lrestriction));
644     if (osm->lprolongation) PetscCall(PetscFree(osm->lprolongation));
645     PetscCall(PetscFree(osm->x));
646     PetscCall(PetscFree(osm->y));
647   }
648   PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));
649   PetscCall(ISDestroy(&osm->lis));
650   PetscCall(VecDestroy(&osm->lx));
651   PetscCall(VecDestroy(&osm->ly));
652   if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->lmats));
653 
654   PetscCall(PetscFree(osm->sub_mat_type));
655 
656   osm->is       = NULL;
657   osm->is_local = NULL;
658   PetscFunctionReturn(PETSC_SUCCESS);
659 }
660 
661 static PetscErrorCode PCDestroy_ASM(PC pc)
662 {
663   PC_ASM  *osm = (PC_ASM *)pc->data;
664   PetscInt i;
665 
666   PetscFunctionBegin;
667   PetscCall(PCReset_ASM(pc));
668   if (osm->ksp) {
669     for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i]));
670     PetscCall(PetscFree(osm->ksp));
671   }
672   PetscCall(PetscFree(pc->data));
673 
674   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", NULL));
675   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", NULL));
676   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", NULL));
677   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", NULL));
678   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", NULL));
679   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", NULL));
680   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", NULL));
681   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", NULL));
682   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", NULL));
683   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", NULL));
684   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", NULL));
685   PetscFunctionReturn(PETSC_SUCCESS);
686 }
687 
688 static PetscErrorCode PCSetFromOptions_ASM(PC pc, PetscOptionItems *PetscOptionsObject)
689 {
690   PC_ASM         *osm = (PC_ASM *)pc->data;
691   PetscInt        blocks, ovl;
692   PetscBool       flg;
693   PCASMType       asmtype;
694   PCCompositeType loctype;
695   char            sub_mat_type[256];
696 
697   PetscFunctionBegin;
698   PetscOptionsHeadBegin(PetscOptionsObject, "Additive Schwarz options");
699   PetscCall(PetscOptionsBool("-pc_asm_dm_subdomains", "Use DMCreateDomainDecomposition() to define subdomains", "PCASMSetDMSubdomains", osm->dm_subdomains, &osm->dm_subdomains, &flg));
700   PetscCall(PetscOptionsInt("-pc_asm_blocks", "Number of subdomains", "PCASMSetTotalSubdomains", osm->n, &blocks, &flg));
701   if (flg) {
702     PetscCall(PCASMSetTotalSubdomains(pc, blocks, NULL, NULL));
703     osm->dm_subdomains = PETSC_FALSE;
704   }
705   PetscCall(PetscOptionsInt("-pc_asm_local_blocks", "Number of local subdomains", "PCASMSetLocalSubdomains", osm->n_local_true, &blocks, &flg));
706   if (flg) {
707     PetscCall(PCASMSetLocalSubdomains(pc, blocks, NULL, NULL));
708     osm->dm_subdomains = PETSC_FALSE;
709   }
710   PetscCall(PetscOptionsInt("-pc_asm_overlap", "Number of grid points overlap", "PCASMSetOverlap", osm->overlap, &ovl, &flg));
711   if (flg) {
712     PetscCall(PCASMSetOverlap(pc, ovl));
713     osm->dm_subdomains = PETSC_FALSE;
714   }
715   flg = PETSC_FALSE;
716   PetscCall(PetscOptionsEnum("-pc_asm_type", "Type of restriction/extension", "PCASMSetType", PCASMTypes, (PetscEnum)osm->type, (PetscEnum *)&asmtype, &flg));
717   if (flg) PetscCall(PCASMSetType(pc, asmtype));
718   flg = PETSC_FALSE;
719   PetscCall(PetscOptionsEnum("-pc_asm_local_type", "Type of local solver composition", "PCASMSetLocalType", PCCompositeTypes, (PetscEnum)osm->loctype, (PetscEnum *)&loctype, &flg));
720   if (flg) PetscCall(PCASMSetLocalType(pc, loctype));
721   PetscCall(PetscOptionsFList("-pc_asm_sub_mat_type", "Subsolve Matrix Type", "PCASMSetSubMatType", MatList, NULL, sub_mat_type, 256, &flg));
722   if (flg) PetscCall(PCASMSetSubMatType(pc, sub_mat_type));
723   PetscOptionsHeadEnd();
724   PetscFunctionReturn(PETSC_SUCCESS);
725 }
726 
727 static PetscErrorCode PCASMSetLocalSubdomains_ASM(PC pc, PetscInt n, IS is[], IS is_local[])
728 {
729   PC_ASM  *osm = (PC_ASM *)pc->data;
730   PetscInt i;
731 
732   PetscFunctionBegin;
733   PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Each process must have 1 or more blocks, n = %" PetscInt_FMT, n);
734   PetscCheck(!pc->setupcalled || (n == osm->n_local_true && !is), PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetLocalSubdomains() should be called before calling PCSetUp().");
735 
736   if (!pc->setupcalled) {
737     if (is) {
738       for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is[i]));
739     }
740     if (is_local) {
741       for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is_local[i]));
742     }
743     PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));
744 
745     osm->n_local_true = n;
746     osm->is           = NULL;
747     osm->is_local     = NULL;
748     if (is) {
749       PetscCall(PetscMalloc1(n, &osm->is));
750       for (i = 0; i < n; i++) osm->is[i] = is[i];
751       /* Flag indicating that the user has set overlapping subdomains so PCASM should not increase their size. */
752       osm->overlap = -1;
753     }
754     if (is_local) {
755       PetscCall(PetscMalloc1(n, &osm->is_local));
756       for (i = 0; i < n; i++) osm->is_local[i] = is_local[i];
757       if (!is) {
758         PetscCall(PetscMalloc1(osm->n_local_true, &osm->is));
759         for (i = 0; i < osm->n_local_true; i++) {
760           if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
761             PetscCall(ISDuplicate(osm->is_local[i], &osm->is[i]));
762             PetscCall(ISCopy(osm->is_local[i], osm->is[i]));
763           } else {
764             PetscCall(PetscObjectReference((PetscObject)osm->is_local[i]));
765             osm->is[i] = osm->is_local[i];
766           }
767         }
768       }
769     }
770   }
771   PetscFunctionReturn(PETSC_SUCCESS);
772 }
773 
774 static PetscErrorCode PCASMSetTotalSubdomains_ASM(PC pc, PetscInt N, IS *is, IS *is_local)
775 {
776   PC_ASM     *osm = (PC_ASM *)pc->data;
777   PetscMPIInt rank, size;
778   PetscInt    n;
779 
780   PetscFunctionBegin;
781   PetscCheck(N >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Number of total blocks must be > 0, N = %" PetscInt_FMT, N);
782   PetscCheck(!is && !is_local, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Use PCASMSetLocalSubdomains() to set specific index sets\n\they cannot be set globally yet.");
783 
784   /*
785      Split the subdomains equally among all processors
786   */
787   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
788   PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
789   n = N / size + ((N % size) > rank);
790   PetscCheck(n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Process %d must have at least one block: total processors %d total blocks %" PetscInt_FMT, (int)rank, (int)size, N);
791   PetscCheck(!pc->setupcalled || n == osm->n_local_true, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "PCASMSetTotalSubdomains() should be called before PCSetUp().");
792   if (!pc->setupcalled) {
793     PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));
794 
795     osm->n_local_true = n;
796     osm->is           = NULL;
797     osm->is_local     = NULL;
798   }
799   PetscFunctionReturn(PETSC_SUCCESS);
800 }
801 
802 static PetscErrorCode PCASMSetOverlap_ASM(PC pc, PetscInt ovl)
803 {
804   PC_ASM *osm = (PC_ASM *)pc->data;
805 
806   PetscFunctionBegin;
807   PetscCheck(ovl >= 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap value requested");
808   PetscCheck(!pc->setupcalled || ovl == osm->overlap, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetOverlap() should be called before PCSetUp().");
809   if (!pc->setupcalled) osm->overlap = ovl;
810   PetscFunctionReturn(PETSC_SUCCESS);
811 }
812 
813 static PetscErrorCode PCASMSetType_ASM(PC pc, PCASMType type)
814 {
815   PC_ASM *osm = (PC_ASM *)pc->data;
816 
817   PetscFunctionBegin;
818   osm->type     = type;
819   osm->type_set = PETSC_TRUE;
820   PetscFunctionReturn(PETSC_SUCCESS);
821 }
822 
823 static PetscErrorCode PCASMGetType_ASM(PC pc, PCASMType *type)
824 {
825   PC_ASM *osm = (PC_ASM *)pc->data;
826 
827   PetscFunctionBegin;
828   *type = osm->type;
829   PetscFunctionReturn(PETSC_SUCCESS);
830 }
831 
832 static PetscErrorCode PCASMSetLocalType_ASM(PC pc, PCCompositeType type)
833 {
834   PC_ASM *osm = (PC_ASM *)pc->data;
835 
836   PetscFunctionBegin;
837   PetscCheck(type == PC_COMPOSITE_ADDITIVE || type == PC_COMPOSITE_MULTIPLICATIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Only supports additive or multiplicative as the local type");
838   osm->loctype = type;
839   PetscFunctionReturn(PETSC_SUCCESS);
840 }
841 
842 static PetscErrorCode PCASMGetLocalType_ASM(PC pc, PCCompositeType *type)
843 {
844   PC_ASM *osm = (PC_ASM *)pc->data;
845 
846   PetscFunctionBegin;
847   *type = osm->loctype;
848   PetscFunctionReturn(PETSC_SUCCESS);
849 }
850 
851 static PetscErrorCode PCASMSetSortIndices_ASM(PC pc, PetscBool doSort)
852 {
853   PC_ASM *osm = (PC_ASM *)pc->data;
854 
855   PetscFunctionBegin;
856   osm->sort_indices = doSort;
857   PetscFunctionReturn(PETSC_SUCCESS);
858 }
859 
860 static PetscErrorCode PCASMGetSubKSP_ASM(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp)
861 {
862   PC_ASM *osm = (PC_ASM *)pc->data;
863 
864   PetscFunctionBegin;
865   PetscCheck(osm->n_local_true >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ORDER, "Need to call PCSetUp() on PC (or KSPSetUp() on the outer KSP object) before calling here");
866 
867   if (n_local) *n_local = osm->n_local_true;
868   if (first_local) {
869     PetscCallMPI(MPI_Scan(&osm->n_local_true, first_local, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc)));
870     *first_local -= osm->n_local_true;
871   }
872   if (ksp) *ksp = osm->ksp;
873   PetscFunctionReturn(PETSC_SUCCESS);
874 }
875 
876 static PetscErrorCode PCASMGetSubMatType_ASM(PC pc, MatType *sub_mat_type)
877 {
878   PC_ASM *osm = (PC_ASM *)pc->data;
879 
880   PetscFunctionBegin;
881   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
882   PetscValidPointer(sub_mat_type, 2);
883   *sub_mat_type = osm->sub_mat_type;
884   PetscFunctionReturn(PETSC_SUCCESS);
885 }
886 
887 static PetscErrorCode PCASMSetSubMatType_ASM(PC pc, MatType sub_mat_type)
888 {
889   PC_ASM *osm = (PC_ASM *)pc->data;
890 
891   PetscFunctionBegin;
892   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
893   PetscCall(PetscFree(osm->sub_mat_type));
894   PetscCall(PetscStrallocpy(sub_mat_type, (char **)&osm->sub_mat_type));
895   PetscFunctionReturn(PETSC_SUCCESS);
896 }
897 
898 /*@C
899     PCASMSetLocalSubdomains - Sets the local subdomains (for this processor only) for the additive Schwarz preconditioner `PCASM`.
900 
901     Collective
902 
903     Input Parameters:
904 +   pc - the preconditioner context
905 .   n - the number of subdomains for this processor (default value = 1)
906 .   is - the index set that defines the subdomains for this processor
907          (or `NULL` for PETSc to determine subdomains)
908 -   is_local - the index sets that define the local part of the subdomains for this processor, not used unless PCASMType is PC_ASM_RESTRICT
909          (or `NULL` to not provide these)
910 
911     Options Database Key:
912 .    -pc_asm_local_blocks <blks> - Sets number of local blocks
913 
914     Level: advanced
915 
916     Notes:
917     The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local
918 
919     By default the `PCASM` preconditioner uses 1 block per processor.
920 
921     Use `PCASMSetTotalSubdomains()` to set the subdomains for all processors.
922 
923     If is_local is provided and `PCASMType` is `PC_ASM_RESTRICT` then the solution only over the is_local region is interpolated
924     back to form the global solution (this is the standard restricted additive Schwarz method)
925 
926     If the is_local is provided and `PCASMType` is `PC_ASM_INTERPOLATE` or `PC_ASM_NONE` then an error is generated since there is
927     no code to handle that case.
928 
929 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
930           `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `PCASMType`, `PCASMSetType()`, `PCGASM`
931 @*/
932 PetscErrorCode PCASMSetLocalSubdomains(PC pc, PetscInt n, IS is[], IS is_local[])
933 {
934   PetscFunctionBegin;
935   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
936   PetscTryMethod(pc, "PCASMSetLocalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, n, is, is_local));
937   PetscFunctionReturn(PETSC_SUCCESS);
938 }
939 
940 /*@C
941     PCASMSetTotalSubdomains - Sets the subdomains for all processors for the
942     additive Schwarz preconditioner, `PCASM`.
943 
944     Collective, all MPI ranks must pass in the same array of `IS`
945 
946     Input Parameters:
947 +   pc - the preconditioner context
948 .   N  - the number of subdomains for all processors
949 .   is - the index sets that define the subdomains for all processors
950          (or `NULL` to ask PETSc to determine the subdomains)
951 -   is_local - the index sets that define the local part of the subdomains for this processor
952          (or `NULL` to not provide this information)
953 
954     Options Database Key:
955 .    -pc_asm_blocks <blks> - Sets total blocks
956 
957     Level: advanced
958 
959     Notes:
960     Currently you cannot use this to set the actual subdomains with the argument is or is_local.
961 
962     By default the `PCASM` preconditioner uses 1 block per processor.
963 
964     These index sets cannot be destroyed until after completion of the
965     linear solves for which the `PCASM` preconditioner is being used.
966 
967     Use `PCASMSetLocalSubdomains()` to set local subdomains.
968 
969     The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local
970 
971 .seealso: `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
972           `PCASMCreateSubdomains2D()`, `PCGASM`
973 @*/
974 PetscErrorCode PCASMSetTotalSubdomains(PC pc, PetscInt N, IS is[], IS is_local[])
975 {
976   PetscFunctionBegin;
977   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
978   PetscTryMethod(pc, "PCASMSetTotalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, N, is, is_local));
979   PetscFunctionReturn(PETSC_SUCCESS);
980 }
981 
982 /*@
983     PCASMSetOverlap - Sets the overlap between a pair of subdomains for the
984     additive Schwarz preconditioner, `PCASM`.
985 
986     Logically Collective
987 
988     Input Parameters:
989 +   pc  - the preconditioner context
990 -   ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1)
991 
992     Options Database Key:
993 .   -pc_asm_overlap <ovl> - Sets overlap
994 
995     Level: intermediate
996 
997     Notes:
998     By default the `PCASM` preconditioner uses 1 block per processor.  To use
999     multiple blocks per perocessor, see `PCASMSetTotalSubdomains()` and
1000     `PCASMSetLocalSubdomains()` (and the option -pc_asm_blocks <blks>).
1001 
1002     The overlap defaults to 1, so if one desires that no additional
1003     overlap be computed beyond what may have been set with a call to
1004     `PCASMSetTotalSubdomains()` or `PCASMSetLocalSubdomains()`, then ovl
1005     must be set to be 0.  In particular, if one does not explicitly set
1006     the subdomains an application code, then all overlap would be computed
1007     internally by PETSc, and using an overlap of 0 would result in an `PCASM`
1008     variant that is equivalent to the block Jacobi preconditioner.
1009 
1010     The default algorithm used by PETSc to increase overlap is fast, but not scalable,
1011     use the option -mat_increase_overlap_scalable when the problem and number of processes is large.
1012 
1013     Note that one can define initial index sets with any overlap via
1014     `PCASMSetLocalSubdomains()`; the routine
1015     `PCASMSetOverlap()` merely allows PETSc to extend that overlap further
1016     if desired.
1017 
1018 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
1019           `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `MatIncreaseOverlap()`, `PCGASM`
1020 @*/
1021 PetscErrorCode PCASMSetOverlap(PC pc, PetscInt ovl)
1022 {
1023   PetscFunctionBegin;
1024   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1025   PetscValidLogicalCollectiveInt(pc, ovl, 2);
1026   PetscTryMethod(pc, "PCASMSetOverlap_C", (PC, PetscInt), (pc, ovl));
1027   PetscFunctionReturn(PETSC_SUCCESS);
1028 }
1029 
1030 /*@
1031     PCASMSetType - Sets the type of restriction and interpolation used
1032     for local problems in the additive Schwarz method, `PCASM`.
1033 
1034     Logically Collective
1035 
1036     Input Parameters:
1037 +   pc  - the preconditioner context
1038 -   type - variant of `PCASM`, one of
1039 .vb
1040       PC_ASM_BASIC       - full interpolation and restriction
1041       PC_ASM_RESTRICT    - full restriction, local processor interpolation (default)
1042       PC_ASM_INTERPOLATE - full interpolation, local processor restriction
1043       PC_ASM_NONE        - local processor restriction and interpolation
1044 .ve
1045 
1046     Options Database Key:
1047 .   -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`
1048 
1049     Level: intermediate
1050 
1051     Note:
1052     if the is_local arguments are passed to `PCASMSetLocalSubdomains()` then they are used when `PC_ASM_RESTRICT` has been selected
1053     to limit the local processor interpolation
1054 
1055 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
1056           `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetLocalType()`, `PCASMGetLocalType()`, `PCGASM`
1057 @*/
1058 PetscErrorCode PCASMSetType(PC pc, PCASMType type)
1059 {
1060   PetscFunctionBegin;
1061   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1062   PetscValidLogicalCollectiveEnum(pc, type, 2);
1063   PetscTryMethod(pc, "PCASMSetType_C", (PC, PCASMType), (pc, type));
1064   PetscFunctionReturn(PETSC_SUCCESS);
1065 }
1066 
1067 /*@
1068     PCASMGetType - Gets the type of restriction and interpolation used
1069     for local problems in the additive Schwarz method, `PCASM`.
1070 
1071     Logically Collective
1072 
1073     Input Parameter:
1074 .   pc  - the preconditioner context
1075 
1076     Output Parameter:
1077 .   type - variant of `PCASM`, one of
1078 
1079 .vb
1080       PC_ASM_BASIC       - full interpolation and restriction
1081       PC_ASM_RESTRICT    - full restriction, local processor interpolation
1082       PC_ASM_INTERPOLATE - full interpolation, local processor restriction
1083       PC_ASM_NONE        - local processor restriction and interpolation
1084 .ve
1085 
1086     Options Database Key:
1087 .   -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASM` type
1088 
1089     Level: intermediate
1090 
1091 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, `PCGASM`,
1092           `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
1093 @*/
1094 PetscErrorCode PCASMGetType(PC pc, PCASMType *type)
1095 {
1096   PetscFunctionBegin;
1097   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1098   PetscUseMethod(pc, "PCASMGetType_C", (PC, PCASMType *), (pc, type));
1099   PetscFunctionReturn(PETSC_SUCCESS);
1100 }
1101 
1102 /*@
1103   PCASMSetLocalType - Sets the type of composition used for local problems in the additive Schwarz method, `PCASM`.
1104 
1105   Logically Collective
1106 
1107   Input Parameters:
1108 + pc  - the preconditioner context
1109 - type - type of composition, one of
1110 .vb
1111   PC_COMPOSITE_ADDITIVE       - local additive combination
1112   PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
1113 .ve
1114 
1115   Options Database Key:
1116 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type
1117 
1118   Level: intermediate
1119 
1120 .seealso: `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMGetLocalType()`, `PCASM`, `PCASMType`, `PCASMSetType()`, `PCASMGetType()`, `PCCompositeType`
1121 @*/
1122 PetscErrorCode PCASMSetLocalType(PC pc, PCCompositeType type)
1123 {
1124   PetscFunctionBegin;
1125   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1126   PetscValidLogicalCollectiveEnum(pc, type, 2);
1127   PetscTryMethod(pc, "PCASMSetLocalType_C", (PC, PCCompositeType), (pc, type));
1128   PetscFunctionReturn(PETSC_SUCCESS);
1129 }
1130 
1131 /*@
1132   PCASMGetLocalType - Gets the type of composition used for local problems in the additive Schwarz method, `PCASM`.
1133 
1134   Logically Collective
1135 
1136   Input Parameter:
1137 . pc  - the preconditioner context
1138 
1139   Output Parameter:
1140 . type - type of composition, one of
1141 .vb
1142   PC_COMPOSITE_ADDITIVE       - local additive combination
1143   PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
1144 .ve
1145 
1146   Options Database Key:
1147 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type
1148 
1149   Level: intermediate
1150 
1151 .seealso: `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMCreate()`, `PCASMType`, `PCASMSetType()`, `PCASMGetType()`, `PCCompositeType`
1152 @*/
1153 PetscErrorCode PCASMGetLocalType(PC pc, PCCompositeType *type)
1154 {
1155   PetscFunctionBegin;
1156   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1157   PetscValidPointer(type, 2);
1158   PetscUseMethod(pc, "PCASMGetLocalType_C", (PC, PCCompositeType *), (pc, type));
1159   PetscFunctionReturn(PETSC_SUCCESS);
1160 }
1161 
1162 /*@
1163     PCASMSetSortIndices - Determines whether subdomain indices are sorted.
1164 
1165     Logically Collective
1166 
1167     Input Parameters:
1168 +   pc  - the preconditioner context
1169 -   doSort - sort the subdomain indices
1170 
1171     Level: intermediate
1172 
1173 .seealso: `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
1174           `PCASMCreateSubdomains2D()`
1175 @*/
1176 PetscErrorCode PCASMSetSortIndices(PC pc, PetscBool doSort)
1177 {
1178   PetscFunctionBegin;
1179   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1180   PetscValidLogicalCollectiveBool(pc, doSort, 2);
1181   PetscTryMethod(pc, "PCASMSetSortIndices_C", (PC, PetscBool), (pc, doSort));
1182   PetscFunctionReturn(PETSC_SUCCESS);
1183 }
1184 
1185 /*@C
1186    PCASMGetSubKSP - Gets the local `KSP` contexts for all blocks on
1187    this processor.
1188 
1189    Collective iff first_local is requested
1190 
1191    Input Parameter:
1192 .  pc - the preconditioner context
1193 
1194    Output Parameters:
1195 +  n_local - the number of blocks on this processor or NULL
1196 .  first_local - the global number of the first block on this processor or NULL,
1197                  all processors must request or all must pass NULL
1198 -  ksp - the array of `KSP` contexts
1199 
1200    Level: advanced
1201 
1202    Notes:
1203    After `PCASMGetSubKSP()` the array of `KSP`s is not to be freed.
1204 
1205    You must call `KSPSetUp()` before calling `PCASMGetSubKSP()`.
1206 
1207    Fortran Note:
1208    The output argument 'ksp' must be an array of sufficient length or `PETSC_NULL_KSP`. The latter can be used to learn the necessary length.
1209 
1210 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`,
1211           `PCASMCreateSubdomains2D()`,
1212 @*/
1213 PetscErrorCode PCASMGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[])
1214 {
1215   PetscFunctionBegin;
1216   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1217   PetscUseMethod(pc, "PCASMGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp));
1218   PetscFunctionReturn(PETSC_SUCCESS);
1219 }
1220 
1221 /*MC
1222    PCASM - Use the (restricted) additive Schwarz method, each block is (approximately) solved with
1223            its own `KSP` object.
1224 
1225    Options Database Keys:
1226 +  -pc_asm_blocks <blks> - Sets total blocks. Defaults to one block per MPI rank.
1227 .  -pc_asm_overlap <ovl> - Sets overlap
1228 .  -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`, default is restrict. See `PCASMSetType()`
1229 -  -pc_asm_local_type [additive, multiplicative] - Sets `PCCompositeType`, default is additive. See `PCASMSetLocalType()`
1230 
1231    Level: beginner
1232 
1233    Notes:
1234    If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you
1235    will get a different convergence rate due to the default option of -pc_asm_type restrict. Use
1236     -pc_asm_type basic to get the same convergence behavior
1237 
1238    Each processor can have one or more blocks, but a block cannot be shared by more
1239    than one processor. Use `PCGASM` for subdomains shared by multiple processes.
1240 
1241    To set options on the solvers for each block append -sub_ to all the `KSP`, and `PC`
1242    options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly
1243 
1244    To set the options on the solvers separate for each block call `PCASMGetSubKSP()`
1245    and set the options directly on the resulting `KSP` object (you can access its `PC` with `KSPGetPC()`)
1246 
1247     References:
1248 +   * - M Dryja, OB Widlund, An additive variant of the Schwarz alternating method for the case of many subregions
1249      Courant Institute, New York University Technical report
1250 -   * - Barry Smith, Petter Bjorstad, and William Gropp, Domain Decompositions: Parallel Multilevel Methods for Elliptic Partial Differential Equations,
1251     Cambridge University Press.
1252 
1253 .seealso: `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCASMType`, `PCCompositeType`,
1254           `PCBJACOBI`, `PCASMGetSubKSP()`, `PCASMSetLocalSubdomains()`, `PCASMType`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
1255           `PCASMSetTotalSubdomains()`, `PCSetModifySubMatrices()`, `PCASMSetOverlap()`, `PCASMSetType()`, `PCCompositeType`
1256 M*/
1257 
1258 PETSC_EXTERN PetscErrorCode PCCreate_ASM(PC pc)
1259 {
1260   PC_ASM *osm;
1261 
1262   PetscFunctionBegin;
1263   PetscCall(PetscNew(&osm));
1264 
1265   osm->n             = PETSC_DECIDE;
1266   osm->n_local       = 0;
1267   osm->n_local_true  = PETSC_DECIDE;
1268   osm->overlap       = 1;
1269   osm->ksp           = NULL;
1270   osm->restriction   = NULL;
1271   osm->lprolongation = NULL;
1272   osm->lrestriction  = NULL;
1273   osm->x             = NULL;
1274   osm->y             = NULL;
1275   osm->is            = NULL;
1276   osm->is_local      = NULL;
1277   osm->mat           = NULL;
1278   osm->pmat          = NULL;
1279   osm->type          = PC_ASM_RESTRICT;
1280   osm->loctype       = PC_COMPOSITE_ADDITIVE;
1281   osm->sort_indices  = PETSC_TRUE;
1282   osm->dm_subdomains = PETSC_FALSE;
1283   osm->sub_mat_type  = NULL;
1284 
1285   pc->data                 = (void *)osm;
1286   pc->ops->apply           = PCApply_ASM;
1287   pc->ops->matapply        = PCMatApply_ASM;
1288   pc->ops->applytranspose  = PCApplyTranspose_ASM;
1289   pc->ops->setup           = PCSetUp_ASM;
1290   pc->ops->reset           = PCReset_ASM;
1291   pc->ops->destroy         = PCDestroy_ASM;
1292   pc->ops->setfromoptions  = PCSetFromOptions_ASM;
1293   pc->ops->setuponblocks   = PCSetUpOnBlocks_ASM;
1294   pc->ops->view            = PCView_ASM;
1295   pc->ops->applyrichardson = NULL;
1296 
1297   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", PCASMSetLocalSubdomains_ASM));
1298   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", PCASMSetTotalSubdomains_ASM));
1299   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", PCASMSetOverlap_ASM));
1300   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", PCASMSetType_ASM));
1301   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", PCASMGetType_ASM));
1302   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", PCASMSetLocalType_ASM));
1303   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", PCASMGetLocalType_ASM));
1304   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", PCASMSetSortIndices_ASM));
1305   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", PCASMGetSubKSP_ASM));
1306   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", PCASMGetSubMatType_ASM));
1307   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", PCASMSetSubMatType_ASM));
1308   PetscFunctionReturn(PETSC_SUCCESS);
1309 }
1310 
1311 /*@C
1312    PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz
1313    preconditioner, `PCASM`,  for any problem on a general grid.
1314 
1315    Collective
1316 
1317    Input Parameters:
1318 +  A - The global matrix operator
1319 -  n - the number of local blocks
1320 
1321    Output Parameters:
1322 .  outis - the array of index sets defining the subdomains
1323 
1324    Level: advanced
1325 
1326    Note:
1327    This generates nonoverlapping subdomains; the `PCASM` will generate the overlap
1328    from these if you use `PCASMSetLocalSubdomains()`
1329 
1330    Fortran Note:
1331    You must provide the array outis[] already allocated of length n.
1332 
1333 .seealso: `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMDestroySubdomains()`
1334 @*/
1335 PetscErrorCode PCASMCreateSubdomains(Mat A, PetscInt n, IS *outis[])
1336 {
1337   MatPartitioning mpart;
1338   const char     *prefix;
1339   PetscInt        i, j, rstart, rend, bs;
1340   PetscBool       hasop, isbaij = PETSC_FALSE, foundpart = PETSC_FALSE;
1341   Mat             Ad = NULL, adj;
1342   IS              ispart, isnumb, *is;
1343 
1344   PetscFunctionBegin;
1345   PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
1346   PetscValidPointer(outis, 3);
1347   PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "number of local blocks must be > 0, n = %" PetscInt_FMT, n);
1348 
1349   /* Get prefix, row distribution, and block size */
1350   PetscCall(MatGetOptionsPrefix(A, &prefix));
1351   PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
1352   PetscCall(MatGetBlockSize(A, &bs));
1353   PetscCheck(rstart / bs * bs == rstart && rend / bs * bs == rend, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "bad row distribution [%" PetscInt_FMT ",%" PetscInt_FMT ") for matrix block size %" PetscInt_FMT, rstart, rend, bs);
1354 
1355   /* Get diagonal block from matrix if possible */
1356   PetscCall(MatHasOperation(A, MATOP_GET_DIAGONAL_BLOCK, &hasop));
1357   if (hasop) PetscCall(MatGetDiagonalBlock(A, &Ad));
1358   if (Ad) {
1359     PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQBAIJ, &isbaij));
1360     if (!isbaij) PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQSBAIJ, &isbaij));
1361   }
1362   if (Ad && n > 1) {
1363     PetscBool match, done;
1364     /* Try to setup a good matrix partitioning if available */
1365     PetscCall(MatPartitioningCreate(PETSC_COMM_SELF, &mpart));
1366     PetscCall(PetscObjectSetOptionsPrefix((PetscObject)mpart, prefix));
1367     PetscCall(MatPartitioningSetFromOptions(mpart));
1368     PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGCURRENT, &match));
1369     if (!match) PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGSQUARE, &match));
1370     if (!match) { /* assume a "good" partitioner is available */
1371       PetscInt        na;
1372       const PetscInt *ia, *ja;
1373       PetscCall(MatGetRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
1374       if (done) {
1375         /* Build adjacency matrix by hand. Unfortunately a call to
1376            MatConvert(Ad,MATMPIADJ,MAT_INITIAL_MATRIX,&adj) will
1377            remove the block-aij structure and we cannot expect
1378            MatPartitioning to split vertices as we need */
1379         PetscInt        i, j, len, nnz, cnt, *iia = NULL, *jja = NULL;
1380         const PetscInt *row;
1381         nnz = 0;
1382         for (i = 0; i < na; i++) { /* count number of nonzeros */
1383           len = ia[i + 1] - ia[i];
1384           row = ja + ia[i];
1385           for (j = 0; j < len; j++) {
1386             if (row[j] == i) { /* don't count diagonal */
1387               len--;
1388               break;
1389             }
1390           }
1391           nnz += len;
1392         }
1393         PetscCall(PetscMalloc1(na + 1, &iia));
1394         PetscCall(PetscMalloc1(nnz, &jja));
1395         nnz    = 0;
1396         iia[0] = 0;
1397         for (i = 0; i < na; i++) { /* fill adjacency */
1398           cnt = 0;
1399           len = ia[i + 1] - ia[i];
1400           row = ja + ia[i];
1401           for (j = 0; j < len; j++) {
1402             if (row[j] != i) { /* if not diagonal */
1403               jja[nnz + cnt++] = row[j];
1404             }
1405           }
1406           nnz += cnt;
1407           iia[i + 1] = nnz;
1408         }
1409         /* Partitioning of the adjacency matrix */
1410         PetscCall(MatCreateMPIAdj(PETSC_COMM_SELF, na, na, iia, jja, NULL, &adj));
1411         PetscCall(MatPartitioningSetAdjacency(mpart, adj));
1412         PetscCall(MatPartitioningSetNParts(mpart, n));
1413         PetscCall(MatPartitioningApply(mpart, &ispart));
1414         PetscCall(ISPartitioningToNumbering(ispart, &isnumb));
1415         PetscCall(MatDestroy(&adj));
1416         foundpart = PETSC_TRUE;
1417       }
1418       PetscCall(MatRestoreRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
1419     }
1420     PetscCall(MatPartitioningDestroy(&mpart));
1421   }
1422 
1423   PetscCall(PetscMalloc1(n, &is));
1424   *outis = is;
1425 
1426   if (!foundpart) {
1427     /* Partitioning by contiguous chunks of rows */
1428 
1429     PetscInt mbs   = (rend - rstart) / bs;
1430     PetscInt start = rstart;
1431     for (i = 0; i < n; i++) {
1432       PetscInt count = (mbs / n + ((mbs % n) > i)) * bs;
1433       PetscCall(ISCreateStride(PETSC_COMM_SELF, count, start, 1, &is[i]));
1434       start += count;
1435     }
1436 
1437   } else {
1438     /* Partitioning by adjacency of diagonal block  */
1439 
1440     const PetscInt *numbering;
1441     PetscInt       *count, nidx, *indices, *newidx, start = 0;
1442     /* Get node count in each partition */
1443     PetscCall(PetscMalloc1(n, &count));
1444     PetscCall(ISPartitioningCount(ispart, n, count));
1445     if (isbaij && bs > 1) { /* adjust for the block-aij case */
1446       for (i = 0; i < n; i++) count[i] *= bs;
1447     }
1448     /* Build indices from node numbering */
1449     PetscCall(ISGetLocalSize(isnumb, &nidx));
1450     PetscCall(PetscMalloc1(nidx, &indices));
1451     for (i = 0; i < nidx; i++) indices[i] = i; /* needs to be initialized */
1452     PetscCall(ISGetIndices(isnumb, &numbering));
1453     PetscCall(PetscSortIntWithPermutation(nidx, numbering, indices));
1454     PetscCall(ISRestoreIndices(isnumb, &numbering));
1455     if (isbaij && bs > 1) { /* adjust for the block-aij case */
1456       PetscCall(PetscMalloc1(nidx * bs, &newidx));
1457       for (i = 0; i < nidx; i++) {
1458         for (j = 0; j < bs; j++) newidx[i * bs + j] = indices[i] * bs + j;
1459       }
1460       PetscCall(PetscFree(indices));
1461       nidx *= bs;
1462       indices = newidx;
1463     }
1464     /* Shift to get global indices */
1465     for (i = 0; i < nidx; i++) indices[i] += rstart;
1466 
1467     /* Build the index sets for each block */
1468     for (i = 0; i < n; i++) {
1469       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, count[i], &indices[start], PETSC_COPY_VALUES, &is[i]));
1470       PetscCall(ISSort(is[i]));
1471       start += count[i];
1472     }
1473 
1474     PetscCall(PetscFree(count));
1475     PetscCall(PetscFree(indices));
1476     PetscCall(ISDestroy(&isnumb));
1477     PetscCall(ISDestroy(&ispart));
1478   }
1479   PetscFunctionReturn(PETSC_SUCCESS);
1480 }
1481 
1482 /*@C
1483    PCASMDestroySubdomains - Destroys the index sets created with
1484    `PCASMCreateSubdomains()`. Should be called after setting subdomains with `PCASMSetLocalSubdomains()`.
1485 
1486    Collective
1487 
1488    Input Parameters:
1489 +  n - the number of index sets
1490 .  is - the array of index sets
1491 -  is_local - the array of local index sets, can be NULL
1492 
1493    Level: advanced
1494 
1495 .seealso: `PCASM`, `PCASMCreateSubdomains()`, `PCASMSetLocalSubdomains()`
1496 @*/
1497 PetscErrorCode PCASMDestroySubdomains(PetscInt n, IS is[], IS is_local[])
1498 {
1499   PetscInt i;
1500 
1501   PetscFunctionBegin;
1502   if (n <= 0) PetscFunctionReturn(PETSC_SUCCESS);
1503   if (is) {
1504     PetscValidPointer(is, 2);
1505     for (i = 0; i < n; i++) PetscCall(ISDestroy(&is[i]));
1506     PetscCall(PetscFree(is));
1507   }
1508   if (is_local) {
1509     PetscValidPointer(is_local, 3);
1510     for (i = 0; i < n; i++) PetscCall(ISDestroy(&is_local[i]));
1511     PetscCall(PetscFree(is_local));
1512   }
1513   PetscFunctionReturn(PETSC_SUCCESS);
1514 }
1515 
1516 /*@
1517    PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz
1518    preconditioner, `PCASM`, for a two-dimensional problem on a regular grid.
1519 
1520    Not Collective
1521 
1522    Input Parameters:
1523 +  m   - the number of mesh points in the x direction
1524 .  n   - the number of mesh points in the y direction
1525 .  M   - the number of subdomains in the x direction
1526 .  N   - the number of subdomains in the y direction
1527 .  dof - degrees of freedom per node
1528 -  overlap - overlap in mesh lines
1529 
1530    Output Parameters:
1531 +  Nsub - the number of subdomains created
1532 .  is - array of index sets defining overlapping (if overlap > 0) subdomains
1533 -  is_local - array of index sets defining non-overlapping subdomains
1534 
1535    Level: advanced
1536 
1537    Note:
1538    Presently `PCAMSCreateSubdomains2d()` is valid only for sequential
1539    preconditioners.  More general related routines are
1540    `PCASMSetTotalSubdomains()` and `PCASMSetLocalSubdomains()`.
1541 
1542 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
1543           `PCASMSetOverlap()`
1544 @*/
1545 PetscErrorCode PCASMCreateSubdomains2D(PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt dof, PetscInt overlap, PetscInt *Nsub, IS **is, IS **is_local)
1546 {
1547   PetscInt i, j, height, width, ystart, xstart, yleft, yright, xleft, xright, loc_outer;
1548   PetscInt nidx, *idx, loc, ii, jj, count;
1549 
1550   PetscFunctionBegin;
1551   PetscCheck(dof == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "dof must be 1");
1552 
1553   *Nsub = N * M;
1554   PetscCall(PetscMalloc1(*Nsub, is));
1555   PetscCall(PetscMalloc1(*Nsub, is_local));
1556   ystart    = 0;
1557   loc_outer = 0;
1558   for (i = 0; i < N; i++) {
1559     height = n / N + ((n % N) > i); /* height of subdomain */
1560     PetscCheck(height >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many N subdomains for mesh dimension n");
1561     yleft = ystart - overlap;
1562     if (yleft < 0) yleft = 0;
1563     yright = ystart + height + overlap;
1564     if (yright > n) yright = n;
1565     xstart = 0;
1566     for (j = 0; j < M; j++) {
1567       width = m / M + ((m % M) > j); /* width of subdomain */
1568       PetscCheck(width >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many M subdomains for mesh dimension m");
1569       xleft = xstart - overlap;
1570       if (xleft < 0) xleft = 0;
1571       xright = xstart + width + overlap;
1572       if (xright > m) xright = m;
1573       nidx = (xright - xleft) * (yright - yleft);
1574       PetscCall(PetscMalloc1(nidx, &idx));
1575       loc = 0;
1576       for (ii = yleft; ii < yright; ii++) {
1577         count = m * ii + xleft;
1578         for (jj = xleft; jj < xright; jj++) idx[loc++] = count++;
1579       }
1580       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nidx, idx, PETSC_COPY_VALUES, (*is) + loc_outer));
1581       if (overlap == 0) {
1582         PetscCall(PetscObjectReference((PetscObject)(*is)[loc_outer]));
1583 
1584         (*is_local)[loc_outer] = (*is)[loc_outer];
1585       } else {
1586         for (loc = 0, ii = ystart; ii < ystart + height; ii++) {
1587           for (jj = xstart; jj < xstart + width; jj++) idx[loc++] = m * ii + jj;
1588         }
1589         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, loc, idx, PETSC_COPY_VALUES, *is_local + loc_outer));
1590       }
1591       PetscCall(PetscFree(idx));
1592       xstart += width;
1593       loc_outer++;
1594     }
1595     ystart += height;
1596   }
1597   for (i = 0; i < *Nsub; i++) PetscCall(ISSort((*is)[i]));
1598   PetscFunctionReturn(PETSC_SUCCESS);
1599 }
1600 
1601 /*@C
1602     PCASMGetLocalSubdomains - Gets the local subdomains (for this processor
1603     only) for the additive Schwarz preconditioner, `PCASM`.
1604 
1605     Not Collective
1606 
1607     Input Parameter:
1608 .   pc - the preconditioner context
1609 
1610     Output Parameters:
1611 +   n - if requested, the number of subdomains for this processor (default value = 1)
1612 .   is - if requested, the index sets that define the subdomains for this processor
1613 -   is_local - if requested, the index sets that define the local part of the subdomains for this processor (can be `NULL`)
1614 
1615     Level: advanced
1616 
1617     Note:
1618     The `IS` numbering is in the parallel, global numbering of the vector.
1619 
1620 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
1621           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubmatrices()`
1622 @*/
1623 PetscErrorCode PCASMGetLocalSubdomains(PC pc, PetscInt *n, IS *is[], IS *is_local[])
1624 {
1625   PC_ASM   *osm = (PC_ASM *)pc->data;
1626   PetscBool match;
1627 
1628   PetscFunctionBegin;
1629   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1630   if (n) PetscValidIntPointer(n, 2);
1631   if (is) PetscValidPointer(is, 3);
1632   if (is_local) PetscValidPointer(is_local, 4);
1633   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1634   PetscCheck(match, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "PC is not a PCASM");
1635   if (n) *n = osm->n_local_true;
1636   if (is) *is = osm->is;
1637   if (is_local) *is_local = osm->is_local;
1638   PetscFunctionReturn(PETSC_SUCCESS);
1639 }
1640 
1641 /*@C
1642     PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor
1643     only) for the additive Schwarz preconditioner, `PCASM`.
1644 
1645     Not Collective
1646 
1647     Input Parameter:
1648 .   pc - the preconditioner context
1649 
1650     Output Parameters:
1651 +   n - if requested, the number of matrices for this processor (default value = 1)
1652 -   mat - if requested, the matrices
1653 
1654     Level: advanced
1655 
1656     Notes:
1657     Call after `PCSetUp()` (or `KSPSetUp()`) but before `PCApply()` and before `PCSetUpOnBlocks()`)
1658 
1659     Usually one would use `PCSetModifySubMatrices()` to change the submatrices in building the preconditioner.
1660 
1661 .seealso: `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
1662           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`, `PCSetModifySubMatrices()`
1663 @*/
1664 PetscErrorCode PCASMGetLocalSubmatrices(PC pc, PetscInt *n, Mat *mat[])
1665 {
1666   PC_ASM   *osm;
1667   PetscBool match;
1668 
1669   PetscFunctionBegin;
1670   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1671   if (n) PetscValidIntPointer(n, 2);
1672   if (mat) PetscValidPointer(mat, 3);
1673   PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call after KSPSetUp() or PCSetUp().");
1674   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1675   if (!match) {
1676     if (n) *n = 0;
1677     if (mat) *mat = NULL;
1678   } else {
1679     osm = (PC_ASM *)pc->data;
1680     if (n) *n = osm->n_local_true;
1681     if (mat) *mat = osm->pmat;
1682   }
1683   PetscFunctionReturn(PETSC_SUCCESS);
1684 }
1685 
1686 /*@
1687     PCASMSetDMSubdomains - Indicates whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.
1688 
1689     Logically Collective
1690 
1691     Input Parameters:
1692 +   pc  - the preconditioner
1693 -   flg - boolean indicating whether to use subdomains defined by the `DM`
1694 
1695     Options Database Key:
1696 .   -pc_asm_dm_subdomains <bool> - use subdomains defined by the `DM`
1697 
1698     Level: intermediate
1699 
1700     Note:
1701     `PCASMSetTotalSubdomains()` and `PCASMSetOverlap()` take precedence over `PCASMSetDMSubdomains()`,
1702     so setting either of the first two effectively turns the latter off.
1703 
1704 .seealso: `PCASM`, `PCASMGetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
1705           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
1706 @*/
1707 PetscErrorCode PCASMSetDMSubdomains(PC pc, PetscBool flg)
1708 {
1709   PC_ASM   *osm = (PC_ASM *)pc->data;
1710   PetscBool match;
1711 
1712   PetscFunctionBegin;
1713   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1714   PetscValidLogicalCollectiveBool(pc, flg, 2);
1715   PetscCheck(!pc->setupcalled, ((PetscObject)pc)->comm, PETSC_ERR_ARG_WRONGSTATE, "Not for a setup PC.");
1716   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1717   if (match) osm->dm_subdomains = flg;
1718   PetscFunctionReturn(PETSC_SUCCESS);
1719 }
1720 
1721 /*@
1722     PCASMGetDMSubdomains - Returns flag indicating whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.
1723 
1724     Not Collective
1725 
1726     Input Parameter:
1727 .   pc  - the preconditioner
1728 
1729     Output Parameter:
1730 .   flg - boolean indicating whether to use subdomains defined by the `DM`
1731 
1732     Level: intermediate
1733 
1734 .seealso: `PCASM`, `PCASMSetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
1735           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
1736 @*/
1737 PetscErrorCode PCASMGetDMSubdomains(PC pc, PetscBool *flg)
1738 {
1739   PC_ASM   *osm = (PC_ASM *)pc->data;
1740   PetscBool match;
1741 
1742   PetscFunctionBegin;
1743   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1744   PetscValidBoolPointer(flg, 2);
1745   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1746   if (match) *flg = osm->dm_subdomains;
1747   else *flg = PETSC_FALSE;
1748   PetscFunctionReturn(PETSC_SUCCESS);
1749 }
1750 
1751 /*@
1752      PCASMGetSubMatType - Gets the matrix type used for `PCASM` subsolves, as a string.
1753 
1754    Not Collective
1755 
1756    Input Parameter:
1757 .  pc - the `PC`
1758 
1759    Output Parameter:
1760 .  pc_asm_sub_mat_type - name of matrix type
1761 
1762    Level: advanced
1763 
1764 .seealso: `PCASM`, `PCASMSetSubMatType()`, `PCASM`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
1765 @*/
1766 PetscErrorCode PCASMGetSubMatType(PC pc, MatType *sub_mat_type)
1767 {
1768   PetscFunctionBegin;
1769   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1770   PetscTryMethod(pc, "PCASMGetSubMatType_C", (PC, MatType *), (pc, sub_mat_type));
1771   PetscFunctionReturn(PETSC_SUCCESS);
1772 }
1773 
1774 /*@
1775      PCASMSetSubMatType - Set the type of matrix used for `PCASM` subsolves
1776 
1777    Collective
1778 
1779    Input Parameters:
1780 +  pc             - the `PC` object
1781 -  sub_mat_type   - the `MatType`
1782 
1783    Options Database Key:
1784 .  -pc_asm_sub_mat_type  <sub_mat_type> - Sets the matrix type used for subsolves, for example, seqaijviennacl.
1785    If you specify a base name like aijviennacl, the corresponding sequential type is assumed.
1786 
1787    Note:
1788    See "${PETSC_DIR}/include/petscmat.h" for available types
1789 
1790   Level: advanced
1791 
1792 .seealso: `PCASM`, `PCASMGetSubMatType()`, `PCASM`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
1793 @*/
1794 PetscErrorCode PCASMSetSubMatType(PC pc, MatType sub_mat_type)
1795 {
1796   PetscFunctionBegin;
1797   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1798   PetscTryMethod(pc, "PCASMSetSubMatType_C", (PC, MatType), (pc, sub_mat_type));
1799   PetscFunctionReturn(PETSC_SUCCESS);
1800 }
1801