xref: /petsc/src/ksp/pc/impls/asm/asm.c (revision fa084801f6b15df01ac44a0e53249c011483a183)
1 /*
2   This file defines an additive Schwarz preconditioner for any Mat implementation.
3 
4   Note that each processor may have any number of subdomains. But in order to
5   deal easily with the VecScatter(), we treat each processor as if it has the
6   same number of subdomains.
7 
8        n - total number of true subdomains on all processors
9        n_local_true - actual number of subdomains on this processor
10        n_local = maximum over all processors of n_local_true
11 */
12 
13 #include <petsc/private/pcasmimpl.h> /*I "petscpc.h" I*/
14 #include <petsc/private/matimpl.h>
15 
16 static PetscErrorCode PCView_ASM(PC pc, PetscViewer viewer)
17 {
18   PC_ASM           *osm = (PC_ASM *)pc->data;
19   PetscMPIInt       rank;
20   PetscInt          i, bsz;
21   PetscBool         iascii, isstring;
22   PetscViewer       sviewer;
23   PetscViewerFormat format;
24   const char       *prefix;
25 
26   PetscFunctionBegin;
27   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
28   PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
29   if (iascii) {
30     char overlaps[256] = "user-defined overlap", blocks[256] = "total subdomain blocks not yet set";
31     if (osm->overlap >= 0) PetscCall(PetscSNPrintf(overlaps, sizeof(overlaps), "amount of overlap = %" PetscInt_FMT, osm->overlap));
32     if (osm->n > 0) PetscCall(PetscSNPrintf(blocks, sizeof(blocks), "total subdomain blocks = %" PetscInt_FMT, osm->n));
33     PetscCall(PetscViewerASCIIPrintf(viewer, "  %s, %s\n", blocks, overlaps));
34     PetscCall(PetscViewerASCIIPrintf(viewer, "  restriction/interpolation type - %s\n", PCASMTypes[osm->type]));
35     if (osm->dm_subdomains) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: using DM to define subdomains\n"));
36     if (osm->loctype != PC_COMPOSITE_ADDITIVE) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: local solve composition type - %s\n", PCCompositeTypes[osm->loctype]));
37     PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
38     PetscCall(PetscViewerGetFormat(viewer, &format));
39     if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) {
40       if (osm->ksp) {
41         PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for first block is in the following KSP and PC objects on rank 0:\n"));
42         PetscCall(PCGetOptionsPrefix(pc, &prefix));
43         PetscCall(PetscViewerASCIIPrintf(viewer, "  Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : ""));
44         PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
45         if (rank == 0) {
46           PetscCall(PetscViewerASCIIPushTab(sviewer));
47           PetscCall(KSPView(osm->ksp[0], sviewer));
48           PetscCall(PetscViewerASCIIPopTab(sviewer));
49         }
50         PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
51       }
52     } else {
53       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
54       PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "  [%d] number of local blocks = %" PetscInt_FMT "\n", rank, osm->n_local_true));
55       PetscCall(PetscViewerFlush(viewer));
56       PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for each block is in the following KSP and PC objects:\n"));
57       PetscCall(PetscViewerASCIIPushTab(viewer));
58       PetscCall(PetscViewerASCIIPrintf(viewer, "- - - - - - - - - - - - - - - - - -\n"));
59       PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
60       for (i = 0; i < osm->n_local_true; i++) {
61         PetscCall(ISGetLocalSize(osm->is[i], &bsz));
62         PetscCall(PetscViewerASCIIPrintf(sviewer, "[%d] local block number %" PetscInt_FMT ", size = %" PetscInt_FMT "\n", rank, i, bsz));
63         PetscCall(KSPView(osm->ksp[i], sviewer));
64         PetscCall(PetscViewerASCIIPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n"));
65       }
66       PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
67       PetscCall(PetscViewerASCIIPopTab(viewer));
68       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
69     }
70   } else if (isstring) {
71     PetscCall(PetscViewerStringSPrintf(viewer, " blocks=%" PetscInt_FMT ", overlap=%" PetscInt_FMT ", type=%s", osm->n, osm->overlap, PCASMTypes[osm->type]));
72     PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
73     if (osm->ksp) PetscCall(KSPView(osm->ksp[0], sviewer));
74     PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
75   }
76   PetscFunctionReturn(PETSC_SUCCESS);
77 }
78 
79 static PetscErrorCode PCASMPrintSubdomains(PC pc)
80 {
81   PC_ASM         *osm = (PC_ASM *)pc->data;
82   const char     *prefix;
83   char            fname[PETSC_MAX_PATH_LEN + 1];
84   PetscViewer     viewer, sviewer;
85   char           *s;
86   PetscInt        i, j, nidx;
87   const PetscInt *idx;
88   PetscMPIInt     rank, size;
89 
90   PetscFunctionBegin;
91   PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
92   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
93   PetscCall(PCGetOptionsPrefix(pc, &prefix));
94   PetscCall(PetscOptionsGetString(NULL, prefix, "-pc_asm_print_subdomains", fname, sizeof(fname), NULL));
95   if (fname[0] == 0) PetscCall(PetscStrncpy(fname, "stdout", sizeof(fname)));
96   PetscCall(PetscViewerASCIIOpen(PetscObjectComm((PetscObject)pc), fname, &viewer));
97   for (i = 0; i < osm->n_local; i++) {
98     if (i < osm->n_local_true) {
99       PetscCall(ISGetLocalSize(osm->is[i], &nidx));
100       PetscCall(ISGetIndices(osm->is[i], &idx));
101       /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
102 #define len 16 * (nidx + 1) + 512
103       PetscCall(PetscMalloc1(len, &s));
104       PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
105 #undef len
106       PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " with overlap:\n", rank, size, i));
107       for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
108       PetscCall(ISRestoreIndices(osm->is[i], &idx));
109       PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
110       PetscCall(PetscViewerDestroy(&sviewer));
111       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
112       PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
113       PetscCall(PetscViewerFlush(viewer));
114       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
115       PetscCall(PetscFree(s));
116       if (osm->is_local) {
117         /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
118 #define len 16 * (nidx + 1) + 512
119         PetscCall(PetscMalloc1(len, &s));
120         PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
121 #undef len
122         PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " without overlap:\n", rank, size, i));
123         PetscCall(ISGetLocalSize(osm->is_local[i], &nidx));
124         PetscCall(ISGetIndices(osm->is_local[i], &idx));
125         for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
126         PetscCall(ISRestoreIndices(osm->is_local[i], &idx));
127         PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
128         PetscCall(PetscViewerDestroy(&sviewer));
129         PetscCall(PetscViewerASCIIPushSynchronized(viewer));
130         PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
131         PetscCall(PetscViewerFlush(viewer));
132         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
133         PetscCall(PetscFree(s));
134       }
135     } else {
136       /* Participate in collective viewer calls. */
137       PetscCall(PetscViewerASCIIPushSynchronized(viewer));
138       PetscCall(PetscViewerFlush(viewer));
139       PetscCall(PetscViewerASCIIPopSynchronized(viewer));
140       /* Assume either all ranks have is_local or none do. */
141       if (osm->is_local) {
142         PetscCall(PetscViewerASCIIPushSynchronized(viewer));
143         PetscCall(PetscViewerFlush(viewer));
144         PetscCall(PetscViewerASCIIPopSynchronized(viewer));
145       }
146     }
147   }
148   PetscCall(PetscViewerFlush(viewer));
149   PetscCall(PetscViewerDestroy(&viewer));
150   PetscFunctionReturn(PETSC_SUCCESS);
151 }
152 
153 static PetscErrorCode PCSetUp_ASM(PC pc)
154 {
155   PC_ASM       *osm = (PC_ASM *)pc->data;
156   PetscBool     flg;
157   PetscInt      i, m, m_local;
158   MatReuse      scall = MAT_REUSE_MATRIX;
159   IS            isl;
160   KSP           ksp;
161   PC            subpc;
162   const char   *prefix, *pprefix;
163   Vec           vec;
164   DM           *domain_dm = NULL;
165   MatNullSpace *nullsp    = NULL;
166 
167   PetscFunctionBegin;
168   if (!pc->setupcalled) {
169     PetscInt m;
170 
171     /* Note: if subdomains have been set either via PCASMSetTotalSubdomains() or via PCASMSetLocalSubdomains(), osm->n_local_true will not be PETSC_DECIDE */
172     if (osm->n_local_true == PETSC_DECIDE) {
173       /* no subdomains given */
174       /* try pc->dm first, if allowed */
175       if (osm->dm_subdomains && pc->dm) {
176         PetscInt num_domains, d;
177         char   **domain_names;
178         IS      *inner_domain_is, *outer_domain_is;
179         PetscCall(DMCreateDomainDecomposition(pc->dm, &num_domains, &domain_names, &inner_domain_is, &outer_domain_is, &domain_dm));
180         osm->overlap = -1; /* We do not want to increase the overlap of the IS.
181                               A future improvement of this code might allow one to use
182                               DM-defined subdomains and also increase the overlap,
183                               but that is not currently supported */
184         if (num_domains) PetscCall(PCASMSetLocalSubdomains(pc, num_domains, outer_domain_is, inner_domain_is));
185         for (d = 0; d < num_domains; ++d) {
186           if (domain_names) PetscCall(PetscFree(domain_names[d]));
187           if (inner_domain_is) PetscCall(ISDestroy(&inner_domain_is[d]));
188           if (outer_domain_is) PetscCall(ISDestroy(&outer_domain_is[d]));
189         }
190         PetscCall(PetscFree(domain_names));
191         PetscCall(PetscFree(inner_domain_is));
192         PetscCall(PetscFree(outer_domain_is));
193       }
194       if (osm->n_local_true == PETSC_DECIDE) {
195         /* still no subdomains; use one subdomain per processor */
196         osm->n_local_true = 1;
197       }
198     }
199     { /* determine the global and max number of subdomains */
200       struct {
201         PetscInt max, sum;
202       } inwork, outwork;
203       PetscMPIInt size;
204 
205       inwork.max = osm->n_local_true;
206       inwork.sum = osm->n_local_true;
207       PetscCallMPI(MPIU_Allreduce(&inwork, &outwork, 1, MPIU_2INT, MPIU_MAXSUM_OP, PetscObjectComm((PetscObject)pc)));
208       osm->n_local = outwork.max;
209       osm->n       = outwork.sum;
210 
211       PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
212       if (outwork.max == 1 && outwork.sum == size) {
213         /* osm->n_local_true = 1 on all processes, set this option may enable use of optimized MatCreateSubMatrices() implementation */
214         PetscCall(MatSetOption(pc->pmat, MAT_SUBMAT_SINGLEIS, PETSC_TRUE));
215       }
216     }
217     if (!osm->is) { /* create the index sets */
218       PetscCall(PCASMCreateSubdomains(pc->pmat, osm->n_local_true, &osm->is));
219     }
220     if (osm->n_local_true > 1 && !osm->is_local) {
221       PetscCall(PetscMalloc1(osm->n_local_true, &osm->is_local));
222       for (i = 0; i < osm->n_local_true; i++) {
223         if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
224           PetscCall(ISDuplicate(osm->is[i], &osm->is_local[i]));
225           PetscCall(ISCopy(osm->is[i], osm->is_local[i]));
226         } else {
227           PetscCall(PetscObjectReference((PetscObject)osm->is[i]));
228           osm->is_local[i] = osm->is[i];
229         }
230       }
231     }
232     PetscCall(PCGetOptionsPrefix(pc, &prefix));
233     if (osm->overlap > 0) {
234       /* Extend the "overlapping" regions by a number of steps */
235       PetscCall(MatIncreaseOverlap(pc->pmat, osm->n_local_true, osm->is, osm->overlap));
236     }
237     if (osm->sort_indices) {
238       for (i = 0; i < osm->n_local_true; i++) {
239         PetscCall(ISSort(osm->is[i]));
240         if (osm->is_local) PetscCall(ISSort(osm->is_local[i]));
241       }
242     }
243     flg = PETSC_FALSE;
244     PetscCall(PetscOptionsHasName(NULL, prefix, "-pc_asm_print_subdomains", &flg));
245     if (flg) PetscCall(PCASMPrintSubdomains(pc));
246     if (!osm->ksp) {
247       /* Create the local solvers */
248       PetscCall(PetscMalloc1(osm->n_local_true, &osm->ksp));
249       if (domain_dm) PetscCall(PetscInfo(pc, "Setting up ASM subproblems using the embedded DM\n"));
250       for (i = 0; i < osm->n_local_true; i++) {
251         PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp));
252         PetscCall(KSPSetNestLevel(ksp, pc->kspnestlevel));
253         PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure));
254         PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1));
255         PetscCall(KSPSetType(ksp, KSPPREONLY));
256         PetscCall(KSPGetPC(ksp, &subpc));
257         PetscCall(PCGetOptionsPrefix(pc, &prefix));
258         PetscCall(KSPSetOptionsPrefix(ksp, prefix));
259         PetscCall(KSPAppendOptionsPrefix(ksp, "sub_"));
260         if (domain_dm) {
261           PetscCall(KSPSetDM(ksp, domain_dm[i]));
262           PetscCall(KSPSetDMActive(ksp, PETSC_FALSE));
263           PetscCall(DMDestroy(&domain_dm[i]));
264         }
265         osm->ksp[i] = ksp;
266       }
267       if (domain_dm) PetscCall(PetscFree(domain_dm));
268     }
269 
270     PetscCall(ISConcatenate(PETSC_COMM_SELF, osm->n_local_true, osm->is, &osm->lis));
271     PetscCall(ISSortRemoveDups(osm->lis));
272     PetscCall(ISGetLocalSize(osm->lis, &m));
273 
274     scall = MAT_INITIAL_MATRIX;
275   } else {
276     /*
277        Destroy the blocks from the previous iteration
278     */
279     if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
280       PetscCall(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
281       PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->pmat));
282       scall = MAT_INITIAL_MATRIX;
283     }
284   }
285 
286   /* Destroy previous submatrices of a different type than pc->pmat since MAT_REUSE_MATRIX won't work in that case */
287   if (scall == MAT_REUSE_MATRIX && osm->sub_mat_type) {
288     PetscCall(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
289     if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
290     scall = MAT_INITIAL_MATRIX;
291   }
292 
293   /*
294      Extract out the submatrices
295   */
296   PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, osm->is, scall, &osm->pmat));
297   if (scall == MAT_INITIAL_MATRIX) {
298     PetscCall(PetscObjectGetOptionsPrefix((PetscObject)pc->pmat, &pprefix));
299     for (i = 0; i < osm->n_local_true; i++) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i], pprefix));
300     if (nullsp) PetscCall(MatRestoreNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
301   }
302 
303   /* Convert the types of the submatrices (if needbe) */
304   if (osm->sub_mat_type) {
305     for (i = 0; i < osm->n_local_true; i++) PetscCall(MatConvert(osm->pmat[i], osm->sub_mat_type, MAT_INPLACE_MATRIX, &osm->pmat[i]));
306   }
307 
308   if (!pc->setupcalled) {
309     VecType vtype;
310 
311     /* Create the local work vectors (from the local matrices) and scatter contexts */
312     PetscCall(MatCreateVecs(pc->pmat, &vec, NULL));
313 
314     PetscCheck(!osm->is_local || osm->n_local_true == 1 || (osm->type != PC_ASM_INTERPOLATE && osm->type != PC_ASM_NONE), PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Cannot use interpolate or none PCASMType if is_local was provided to PCASMSetLocalSubdomains() with more than a single subdomain");
315     if (osm->is_local && osm->type != PC_ASM_BASIC && osm->loctype == PC_COMPOSITE_ADDITIVE) PetscCall(PetscMalloc1(osm->n_local_true, &osm->lprolongation));
316     PetscCall(PetscMalloc1(osm->n_local_true, &osm->lrestriction));
317     PetscCall(PetscMalloc1(osm->n_local_true, &osm->x));
318     PetscCall(PetscMalloc1(osm->n_local_true, &osm->y));
319 
320     PetscCall(ISGetLocalSize(osm->lis, &m));
321     PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
322     PetscCall(MatGetVecType(osm->pmat[0], &vtype));
323     PetscCall(VecCreate(PETSC_COMM_SELF, &osm->lx));
324     PetscCall(VecSetSizes(osm->lx, m, m));
325     PetscCall(VecSetType(osm->lx, vtype));
326     PetscCall(VecDuplicate(osm->lx, &osm->ly));
327     PetscCall(VecScatterCreate(vec, osm->lis, osm->lx, isl, &osm->restriction));
328     PetscCall(ISDestroy(&isl));
329 
330     for (i = 0; i < osm->n_local_true; ++i) {
331       ISLocalToGlobalMapping ltog;
332       IS                     isll;
333       const PetscInt        *idx_is;
334       PetscInt              *idx_lis, nout;
335 
336       PetscCall(ISGetLocalSize(osm->is[i], &m));
337       PetscCall(MatCreateVecs(osm->pmat[i], &osm->x[i], NULL));
338       PetscCall(VecDuplicate(osm->x[i], &osm->y[i]));
339 
340       /* generate a scatter from ly to y[i] picking all the overlapping is[i] entries */
341       PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
342       PetscCall(ISGetLocalSize(osm->is[i], &m));
343       PetscCall(ISGetIndices(osm->is[i], &idx_is));
344       PetscCall(PetscMalloc1(m, &idx_lis));
345       PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m, idx_is, &nout, idx_lis));
346       PetscCheck(nout == m, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is not a subset of lis");
347       PetscCall(ISRestoreIndices(osm->is[i], &idx_is));
348       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, idx_lis, PETSC_OWN_POINTER, &isll));
349       PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
350       PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
351       PetscCall(VecScatterCreate(osm->ly, isll, osm->y[i], isl, &osm->lrestriction[i]));
352       PetscCall(ISDestroy(&isll));
353       PetscCall(ISDestroy(&isl));
354       if (osm->lprolongation) { /* generate a scatter from y[i] to ly picking only the non-overlapping is_local[i] entries */
355         ISLocalToGlobalMapping ltog;
356         IS                     isll, isll_local;
357         const PetscInt        *idx_local;
358         PetscInt              *idx1, *idx2, nout;
359 
360         PetscCall(ISGetLocalSize(osm->is_local[i], &m_local));
361         PetscCall(ISGetIndices(osm->is_local[i], &idx_local));
362 
363         PetscCall(ISLocalToGlobalMappingCreateIS(osm->is[i], &ltog));
364         PetscCall(PetscMalloc1(m_local, &idx1));
365         PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx1));
366         PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
367         PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of is");
368         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx1, PETSC_OWN_POINTER, &isll));
369 
370         PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
371         PetscCall(PetscMalloc1(m_local, &idx2));
372         PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx2));
373         PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
374         PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of lis");
375         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx2, PETSC_OWN_POINTER, &isll_local));
376 
377         PetscCall(ISRestoreIndices(osm->is_local[i], &idx_local));
378         PetscCall(VecScatterCreate(osm->y[i], isll, osm->ly, isll_local, &osm->lprolongation[i]));
379 
380         PetscCall(ISDestroy(&isll));
381         PetscCall(ISDestroy(&isll_local));
382       }
383     }
384     PetscCall(VecDestroy(&vec));
385   }
386 
387   if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
388     IS      *cis;
389     PetscInt c;
390 
391     PetscCall(PetscMalloc1(osm->n_local_true, &cis));
392     for (c = 0; c < osm->n_local_true; ++c) cis[c] = osm->lis;
393     PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, cis, scall, &osm->lmats));
394     PetscCall(PetscFree(cis));
395   }
396 
397   /* Return control to the user so that the submatrices can be modified (e.g., to apply
398      different boundary conditions for the submatrices than for the global problem) */
399   PetscCall(PCModifySubMatrices(pc, osm->n_local_true, osm->is, osm->is, osm->pmat, pc->modifysubmatricesP));
400 
401   /*
402      Loop over subdomains putting them into local ksp
403   */
404   PetscCall(KSPGetOptionsPrefix(osm->ksp[0], &prefix));
405   for (i = 0; i < osm->n_local_true; i++) {
406     PetscCall(KSPSetOperators(osm->ksp[i], osm->pmat[i], osm->pmat[i]));
407     PetscCall(MatSetOptionsPrefix(osm->pmat[i], prefix));
408     if (!pc->setupcalled) PetscCall(KSPSetFromOptions(osm->ksp[i]));
409   }
410   PetscFunctionReturn(PETSC_SUCCESS);
411 }
412 
413 static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc)
414 {
415   PC_ASM            *osm = (PC_ASM *)pc->data;
416   PetscInt           i;
417   KSPConvergedReason reason;
418 
419   PetscFunctionBegin;
420   for (i = 0; i < osm->n_local_true; i++) {
421     PetscCall(KSPSetUp(osm->ksp[i]));
422     PetscCall(KSPGetConvergedReason(osm->ksp[i], &reason));
423     if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
424   }
425   PetscFunctionReturn(PETSC_SUCCESS);
426 }
427 
428 static PetscErrorCode PCApply_ASM(PC pc, Vec x, Vec y)
429 {
430   PC_ASM     *osm = (PC_ASM *)pc->data;
431   PetscInt    i, n_local_true = osm->n_local_true;
432   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
433 
434   PetscFunctionBegin;
435   /*
436      support for limiting the restriction or interpolation to only local
437      subdomain values (leaving the other values 0).
438   */
439   if (!(osm->type & PC_ASM_RESTRICT)) {
440     forward = SCATTER_FORWARD_LOCAL;
441     /* have to zero the work RHS since scatter may leave some slots empty */
442     PetscCall(VecSet(osm->lx, 0.0));
443   }
444   if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;
445 
446   PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]);
447   /* zero the global and the local solutions */
448   PetscCall(VecSet(y, 0.0));
449   PetscCall(VecSet(osm->ly, 0.0));
450 
451   /* copy the global RHS to local RHS including the ghost nodes */
452   PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
453   PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
454 
455   /* restrict local RHS to the overlapping 0-block RHS */
456   PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
457   PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
458 
459   /* do the local solves */
460   for (i = 0; i < n_local_true; ++i) {
461     /* solve the overlapping i-block */
462     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
463     PetscCall(KSPSolve(osm->ksp[i], osm->x[i], osm->y[i]));
464     PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
465     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
466 
467     if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping i-block solution to the local solution (only for restrictive additive) */
468       PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
469       PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
470     } else { /* interpolate the overlapping i-block solution to the local solution */
471       PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
472       PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
473     }
474 
475     if (i < n_local_true - 1) {
476       /* restrict local RHS to the overlapping (i+1)-block RHS */
477       PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
478       PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
479 
480       if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
481         /* update the overlapping (i+1)-block RHS using the current local solution */
482         PetscCall(MatMult(osm->lmats[i + 1], osm->ly, osm->y[i + 1]));
483         PetscCall(VecAXPBY(osm->x[i + 1], -1., 1., osm->y[i + 1]));
484       }
485     }
486   }
487   /* add the local solution to the global solution including the ghost nodes */
488   PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
489   PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
490   PetscFunctionReturn(PETSC_SUCCESS);
491 }
492 
493 static PetscErrorCode PCMatApply_ASM(PC pc, Mat X, Mat Y)
494 {
495   PC_ASM     *osm = (PC_ASM *)pc->data;
496   Mat         Z, W;
497   Vec         x;
498   PetscInt    i, m, N;
499   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
500 
501   PetscFunctionBegin;
502   PetscCheck(osm->n_local_true <= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Not yet implemented");
503   /*
504      support for limiting the restriction or interpolation to only local
505      subdomain values (leaving the other values 0).
506   */
507   if (!(osm->type & PC_ASM_RESTRICT)) {
508     forward = SCATTER_FORWARD_LOCAL;
509     /* have to zero the work RHS since scatter may leave some slots empty */
510     PetscCall(VecSet(osm->lx, 0.0));
511   }
512   if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;
513   PetscCall(VecGetLocalSize(osm->x[0], &m));
514   PetscCall(MatGetSize(X, NULL, &N));
515   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &Z));
516 
517   PetscCheck(osm->loctype == PC_COMPOSITE_MULTIPLICATIVE || osm->loctype == PC_COMPOSITE_ADDITIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "Invalid local composition type: %s", PCCompositeTypes[osm->loctype]);
518   /* zero the global and the local solutions */
519   PetscCall(MatZeroEntries(Y));
520   PetscCall(VecSet(osm->ly, 0.0));
521 
522   for (i = 0; i < N; ++i) {
523     PetscCall(MatDenseGetColumnVecRead(X, i, &x));
524     /* copy the global RHS to local RHS including the ghost nodes */
525     PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
526     PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
527     PetscCall(MatDenseRestoreColumnVecRead(X, i, &x));
528 
529     PetscCall(MatDenseGetColumnVecWrite(Z, i, &x));
530     /* restrict local RHS to the overlapping 0-block RHS */
531     PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
532     PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
533     PetscCall(MatDenseRestoreColumnVecWrite(Z, i, &x));
534   }
535   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &W));
536   /* solve the overlapping 0-block */
537   PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
538   PetscCall(KSPMatSolve(osm->ksp[0], Z, W));
539   PetscCall(KSPCheckSolve(osm->ksp[0], pc, NULL));
540   PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
541   PetscCall(MatDestroy(&Z));
542 
543   for (i = 0; i < N; ++i) {
544     PetscCall(VecSet(osm->ly, 0.0));
545     PetscCall(MatDenseGetColumnVecRead(W, i, &x));
546     if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping 0-block solution to the local solution (only for restrictive additive) */
547       PetscCall(VecScatterBegin(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
548       PetscCall(VecScatterEnd(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
549     } else { /* interpolate the overlapping 0-block solution to the local solution */
550       PetscCall(VecScatterBegin(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
551       PetscCall(VecScatterEnd(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
552     }
553     PetscCall(MatDenseRestoreColumnVecRead(W, i, &x));
554 
555     PetscCall(MatDenseGetColumnVecWrite(Y, i, &x));
556     /* add the local solution to the global solution including the ghost nodes */
557     PetscCall(VecScatterBegin(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
558     PetscCall(VecScatterEnd(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
559     PetscCall(MatDenseRestoreColumnVecWrite(Y, i, &x));
560   }
561   PetscCall(MatDestroy(&W));
562   PetscFunctionReturn(PETSC_SUCCESS);
563 }
564 
565 static PetscErrorCode PCApplyTranspose_ASM(PC pc, Vec x, Vec y)
566 {
567   PC_ASM     *osm = (PC_ASM *)pc->data;
568   PetscInt    i, n_local_true = osm->n_local_true;
569   ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;
570 
571   PetscFunctionBegin;
572   /*
573      Support for limiting the restriction or interpolation to only local
574      subdomain values (leaving the other values 0).
575 
576      Note: these are reversed from the PCApply_ASM() because we are applying the
577      transpose of the three terms
578   */
579 
580   if (!(osm->type & PC_ASM_INTERPOLATE)) {
581     forward = SCATTER_FORWARD_LOCAL;
582     /* have to zero the work RHS since scatter may leave some slots empty */
583     PetscCall(VecSet(osm->lx, 0.0));
584   }
585   if (!(osm->type & PC_ASM_RESTRICT)) reverse = SCATTER_REVERSE_LOCAL;
586 
587   /* zero the global and the local solutions */
588   PetscCall(VecSet(y, 0.0));
589   PetscCall(VecSet(osm->ly, 0.0));
590 
591   /* Copy the global RHS to local RHS including the ghost nodes */
592   PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
593   PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
594 
595   /* Restrict local RHS to the overlapping 0-block RHS */
596   PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
597   PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
598 
599   /* do the local solves */
600   for (i = 0; i < n_local_true; ++i) {
601     /* solve the overlapping i-block */
602     PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
603     PetscCall(KSPSolveTranspose(osm->ksp[i], osm->x[i], osm->y[i]));
604     PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
605     PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
606 
607     if (osm->lprolongation && osm->type != PC_ASM_RESTRICT) { /* interpolate the non-overlapping i-block solution to the local solution */
608       PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
609       PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
610     } else { /* interpolate the overlapping i-block solution to the local solution */
611       PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
612       PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
613     }
614 
615     if (i < n_local_true - 1) {
616       /* Restrict local RHS to the overlapping (i+1)-block RHS */
617       PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
618       PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
619     }
620   }
621   /* Add the local solution to the global solution including the ghost nodes */
622   PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
623   PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
624   PetscFunctionReturn(PETSC_SUCCESS);
625 }
626 
627 static PetscErrorCode PCReset_ASM(PC pc)
628 {
629   PC_ASM  *osm = (PC_ASM *)pc->data;
630   PetscInt i;
631 
632   PetscFunctionBegin;
633   if (osm->ksp) {
634     for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPReset(osm->ksp[i]));
635   }
636   if (osm->pmat) {
637     if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
638   }
639   if (osm->lrestriction) {
640     PetscCall(VecScatterDestroy(&osm->restriction));
641     for (i = 0; i < osm->n_local_true; i++) {
642       PetscCall(VecScatterDestroy(&osm->lrestriction[i]));
643       if (osm->lprolongation) PetscCall(VecScatterDestroy(&osm->lprolongation[i]));
644       PetscCall(VecDestroy(&osm->x[i]));
645       PetscCall(VecDestroy(&osm->y[i]));
646     }
647     PetscCall(PetscFree(osm->lrestriction));
648     if (osm->lprolongation) PetscCall(PetscFree(osm->lprolongation));
649     PetscCall(PetscFree(osm->x));
650     PetscCall(PetscFree(osm->y));
651   }
652   PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local));
653   PetscCall(ISDestroy(&osm->lis));
654   PetscCall(VecDestroy(&osm->lx));
655   PetscCall(VecDestroy(&osm->ly));
656   if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->lmats));
657 
658   PetscCall(PetscFree(osm->sub_mat_type));
659 
660   osm->is       = NULL;
661   osm->is_local = NULL;
662   PetscFunctionReturn(PETSC_SUCCESS);
663 }
664 
665 static PetscErrorCode PCDestroy_ASM(PC pc)
666 {
667   PC_ASM  *osm = (PC_ASM *)pc->data;
668   PetscInt i;
669 
670   PetscFunctionBegin;
671   PetscCall(PCReset_ASM(pc));
672   if (osm->ksp) {
673     for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i]));
674     PetscCall(PetscFree(osm->ksp));
675   }
676   PetscCall(PetscFree(pc->data));
677 
678   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", NULL));
679   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", NULL));
680   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", NULL));
681   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", NULL));
682   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", NULL));
683   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", NULL));
684   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", NULL));
685   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", NULL));
686   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", NULL));
687   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", NULL));
688   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", NULL));
689   PetscFunctionReturn(PETSC_SUCCESS);
690 }
691 
692 static PetscErrorCode PCSetFromOptions_ASM(PC pc, PetscOptionItems PetscOptionsObject)
693 {
694   PC_ASM         *osm = (PC_ASM *)pc->data;
695   PetscInt        blocks, ovl;
696   PetscBool       flg;
697   PCASMType       asmtype;
698   PCCompositeType loctype;
699   char            sub_mat_type[256];
700 
701   PetscFunctionBegin;
702   PetscOptionsHeadBegin(PetscOptionsObject, "Additive Schwarz options");
703   PetscCall(PetscOptionsBool("-pc_asm_dm_subdomains", "Use DMCreateDomainDecomposition() to define subdomains", "PCASMSetDMSubdomains", osm->dm_subdomains, &osm->dm_subdomains, &flg));
704   PetscCall(PetscOptionsInt("-pc_asm_blocks", "Number of subdomains", "PCASMSetTotalSubdomains", osm->n, &blocks, &flg));
705   if (flg) {
706     PetscCall(PCASMSetTotalSubdomains(pc, blocks, NULL, NULL));
707     osm->dm_subdomains = PETSC_FALSE;
708   }
709   PetscCall(PetscOptionsInt("-pc_asm_local_blocks", "Number of local subdomains", "PCASMSetLocalSubdomains", osm->n_local_true, &blocks, &flg));
710   if (flg) {
711     PetscCall(PCASMSetLocalSubdomains(pc, blocks, NULL, NULL));
712     osm->dm_subdomains = PETSC_FALSE;
713   }
714   PetscCall(PetscOptionsInt("-pc_asm_overlap", "Number of grid points overlap", "PCASMSetOverlap", osm->overlap, &ovl, &flg));
715   if (flg) {
716     PetscCall(PCASMSetOverlap(pc, ovl));
717     osm->dm_subdomains = PETSC_FALSE;
718   }
719   flg = PETSC_FALSE;
720   PetscCall(PetscOptionsEnum("-pc_asm_type", "Type of restriction/extension", "PCASMSetType", PCASMTypes, (PetscEnum)osm->type, (PetscEnum *)&asmtype, &flg));
721   if (flg) PetscCall(PCASMSetType(pc, asmtype));
722   flg = PETSC_FALSE;
723   PetscCall(PetscOptionsEnum("-pc_asm_local_type", "Type of local solver composition", "PCASMSetLocalType", PCCompositeTypes, (PetscEnum)osm->loctype, (PetscEnum *)&loctype, &flg));
724   if (flg) PetscCall(PCASMSetLocalType(pc, loctype));
725   PetscCall(PetscOptionsFList("-pc_asm_sub_mat_type", "Subsolve Matrix Type", "PCASMSetSubMatType", MatList, NULL, sub_mat_type, 256, &flg));
726   if (flg) PetscCall(PCASMSetSubMatType(pc, sub_mat_type));
727   PetscOptionsHeadEnd();
728   PetscFunctionReturn(PETSC_SUCCESS);
729 }
730 
731 static PetscErrorCode PCASMSetLocalSubdomains_ASM(PC pc, PetscInt n, IS is[], IS is_local[])
732 {
733   PC_ASM  *osm = (PC_ASM *)pc->data;
734   PetscInt i;
735 
736   PetscFunctionBegin;
737   PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Each process must have 1 or more blocks, n = %" PetscInt_FMT, n);
738   PetscCheck(!pc->setupcalled || (n == osm->n_local_true && !is), PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetLocalSubdomains() should be called before calling PCSetUp().");
739 
740   if (!pc->setupcalled) {
741     if (is) {
742       for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is[i]));
743     }
744     if (is_local) {
745       for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is_local[i]));
746     }
747     PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local));
748 
749     if (osm->ksp && osm->n_local_true != n) {
750       for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i]));
751       PetscCall(PetscFree(osm->ksp));
752     }
753 
754     osm->n_local_true = n;
755     osm->is           = NULL;
756     osm->is_local     = NULL;
757     if (is) {
758       PetscCall(PetscMalloc1(n, &osm->is));
759       for (i = 0; i < n; i++) osm->is[i] = is[i];
760       /* Flag indicating that the user has set overlapping subdomains so PCASM should not increase their size. */
761       osm->overlap = -1;
762     }
763     if (is_local) {
764       PetscCall(PetscMalloc1(n, &osm->is_local));
765       for (i = 0; i < n; i++) osm->is_local[i] = is_local[i];
766       if (!is) {
767         PetscCall(PetscMalloc1(osm->n_local_true, &osm->is));
768         for (i = 0; i < osm->n_local_true; i++) {
769           if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
770             PetscCall(ISDuplicate(osm->is_local[i], &osm->is[i]));
771             PetscCall(ISCopy(osm->is_local[i], osm->is[i]));
772           } else {
773             PetscCall(PetscObjectReference((PetscObject)osm->is_local[i]));
774             osm->is[i] = osm->is_local[i];
775           }
776         }
777       }
778     }
779   }
780   PetscFunctionReturn(PETSC_SUCCESS);
781 }
782 
783 static PetscErrorCode PCASMSetTotalSubdomains_ASM(PC pc, PetscInt N, IS *is, IS *is_local)
784 {
785   PC_ASM     *osm = (PC_ASM *)pc->data;
786   PetscMPIInt rank, size;
787   PetscInt    n;
788 
789   PetscFunctionBegin;
790   PetscCheck(N >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Number of total blocks must be > 0, N = %" PetscInt_FMT, N);
791   PetscCheck(!is && !is_local, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Use PCASMSetLocalSubdomains() to set specific index sets, they cannot be set globally yet.");
792 
793   /*
794      Split the subdomains equally among all processors
795   */
796   PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
797   PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
798   n = N / size + ((N % size) > rank);
799   PetscCheck(n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Process %d must have at least one block: total processors %d total blocks %" PetscInt_FMT, rank, size, N);
800   PetscCheck(!pc->setupcalled || n == osm->n_local_true, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "PCASMSetTotalSubdomains() should be called before PCSetUp().");
801   if (!pc->setupcalled) {
802     PetscCall(PCASMDestroySubdomains(osm->n_local_true, &osm->is, &osm->is_local));
803 
804     osm->n_local_true = n;
805     osm->is           = NULL;
806     osm->is_local     = NULL;
807   }
808   PetscFunctionReturn(PETSC_SUCCESS);
809 }
810 
811 static PetscErrorCode PCASMSetOverlap_ASM(PC pc, PetscInt ovl)
812 {
813   PC_ASM *osm = (PC_ASM *)pc->data;
814 
815   PetscFunctionBegin;
816   PetscCheck(ovl >= 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap value requested");
817   PetscCheck(!pc->setupcalled || ovl == osm->overlap, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetOverlap() should be called before PCSetUp().");
818   if (!pc->setupcalled) osm->overlap = ovl;
819   PetscFunctionReturn(PETSC_SUCCESS);
820 }
821 
822 static PetscErrorCode PCASMSetType_ASM(PC pc, PCASMType type)
823 {
824   PC_ASM *osm = (PC_ASM *)pc->data;
825 
826   PetscFunctionBegin;
827   osm->type     = type;
828   osm->type_set = PETSC_TRUE;
829   PetscFunctionReturn(PETSC_SUCCESS);
830 }
831 
832 static PetscErrorCode PCASMGetType_ASM(PC pc, PCASMType *type)
833 {
834   PC_ASM *osm = (PC_ASM *)pc->data;
835 
836   PetscFunctionBegin;
837   *type = osm->type;
838   PetscFunctionReturn(PETSC_SUCCESS);
839 }
840 
841 static PetscErrorCode PCASMSetLocalType_ASM(PC pc, PCCompositeType type)
842 {
843   PC_ASM *osm = (PC_ASM *)pc->data;
844 
845   PetscFunctionBegin;
846   PetscCheck(type == PC_COMPOSITE_ADDITIVE || type == PC_COMPOSITE_MULTIPLICATIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Only supports additive or multiplicative as the local type");
847   osm->loctype = type;
848   PetscFunctionReturn(PETSC_SUCCESS);
849 }
850 
851 static PetscErrorCode PCASMGetLocalType_ASM(PC pc, PCCompositeType *type)
852 {
853   PC_ASM *osm = (PC_ASM *)pc->data;
854 
855   PetscFunctionBegin;
856   *type = osm->loctype;
857   PetscFunctionReturn(PETSC_SUCCESS);
858 }
859 
860 static PetscErrorCode PCASMSetSortIndices_ASM(PC pc, PetscBool doSort)
861 {
862   PC_ASM *osm = (PC_ASM *)pc->data;
863 
864   PetscFunctionBegin;
865   osm->sort_indices = doSort;
866   PetscFunctionReturn(PETSC_SUCCESS);
867 }
868 
869 static PetscErrorCode PCASMGetSubKSP_ASM(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp)
870 {
871   PC_ASM *osm = (PC_ASM *)pc->data;
872 
873   PetscFunctionBegin;
874   PetscCheck(osm->n_local_true >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ORDER, "Need to call PCSetUp() on PC (or KSPSetUp() on the outer KSP object) before calling here");
875 
876   if (n_local) *n_local = osm->n_local_true;
877   if (first_local) {
878     PetscCallMPI(MPI_Scan(&osm->n_local_true, first_local, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc)));
879     *first_local -= osm->n_local_true;
880   }
881   if (ksp) *ksp = osm->ksp;
882   PetscFunctionReturn(PETSC_SUCCESS);
883 }
884 
885 static PetscErrorCode PCASMGetSubMatType_ASM(PC pc, MatType *sub_mat_type)
886 {
887   PC_ASM *osm = (PC_ASM *)pc->data;
888 
889   PetscFunctionBegin;
890   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
891   PetscAssertPointer(sub_mat_type, 2);
892   *sub_mat_type = osm->sub_mat_type;
893   PetscFunctionReturn(PETSC_SUCCESS);
894 }
895 
896 static PetscErrorCode PCASMSetSubMatType_ASM(PC pc, MatType sub_mat_type)
897 {
898   PC_ASM *osm = (PC_ASM *)pc->data;
899 
900   PetscFunctionBegin;
901   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
902   PetscCall(PetscFree(osm->sub_mat_type));
903   PetscCall(PetscStrallocpy(sub_mat_type, (char **)&osm->sub_mat_type));
904   PetscFunctionReturn(PETSC_SUCCESS);
905 }
906 
907 /*@
908   PCASMSetLocalSubdomains - Sets the local subdomains (for this processor only) for the additive Schwarz preconditioner `PCASM`.
909 
910   Collective
911 
912   Input Parameters:
913 + pc       - the preconditioner context
914 . n        - the number of subdomains for this processor (default value = 1)
915 . is       - the index set that defines the subdomains for this processor (or `NULL` for PETSc to determine subdomains)
916              the values of the `is` array are copied so you can free the array (not the `IS` in the array) after this call
917 - is_local - the index sets that define the local part of the subdomains for this processor, not used unless `PCASMType` is `PC_ASM_RESTRICT`
918              (or `NULL` to not provide these). The values of the `is_local` array are copied so you can free the array
919              (not the `IS` in the array) after this call
920 
921   Options Database Key:
922 . -pc_asm_local_blocks <blks> - Sets number of local blocks
923 
924   Level: advanced
925 
926   Notes:
927   The `IS` numbering is in the parallel, global numbering of the vector for both `is` and `is_local`
928 
929   By default the `PCASM` preconditioner uses 1 block per processor.
930 
931   Use `PCASMSetTotalSubdomains()` to set the subdomains for all processors.
932 
933   If `is_local` is provided and `PCASMType` is `PC_ASM_RESTRICT` then the solution only over the `is_local` region is interpolated
934   back to form the global solution (this is the standard restricted additive Schwarz method, RASM)
935 
936   If `is_local` is provided and `PCASMType` is `PC_ASM_INTERPOLATE` or `PC_ASM_NONE` then an error is generated since there is
937   no code to handle that case.
938 
939 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
940           `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `PCASMType`, `PCASMSetType()`, `PCGASM`
941 @*/
942 PetscErrorCode PCASMSetLocalSubdomains(PC pc, PetscInt n, IS is[], IS is_local[])
943 {
944   PetscFunctionBegin;
945   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
946   PetscTryMethod(pc, "PCASMSetLocalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, n, is, is_local));
947   PetscFunctionReturn(PETSC_SUCCESS);
948 }
949 
950 /*@
951   PCASMSetTotalSubdomains - Sets the subdomains for all processors for the
952   additive Schwarz preconditioner, `PCASM`.
953 
954   Collective, all MPI ranks must pass in the same array of `IS`
955 
956   Input Parameters:
957 + pc       - the preconditioner context
958 . N        - the number of subdomains for all processors
959 . is       - the index sets that define the subdomains for all processors (or `NULL` to ask PETSc to determine the subdomains)
960              the values of the `is` array are copied so you can free the array (not the `IS` in the array) after this call
961 - is_local - the index sets that define the local part of the subdomains for this processor (or `NULL` to not provide this information)
962              The values of the `is_local` array are copied so you can free the array (not the `IS` in the array) after this call
963 
964   Options Database Key:
965 . -pc_asm_blocks <blks> - Sets total blocks
966 
967   Level: advanced
968 
969   Notes:
970   Currently you cannot use this to set the actual subdomains with the argument `is` or `is_local`.
971 
972   By default the `PCASM` preconditioner uses 1 block per processor.
973 
974   These index sets cannot be destroyed until after completion of the
975   linear solves for which the `PCASM` preconditioner is being used.
976 
977   Use `PCASMSetLocalSubdomains()` to set local subdomains.
978 
979   The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local
980 
981 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
982           `PCASMCreateSubdomains2D()`, `PCGASM`
983 @*/
984 PetscErrorCode PCASMSetTotalSubdomains(PC pc, PetscInt N, IS is[], IS is_local[])
985 {
986   PetscFunctionBegin;
987   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
988   PetscTryMethod(pc, "PCASMSetTotalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, N, is, is_local));
989   PetscFunctionReturn(PETSC_SUCCESS);
990 }
991 
992 /*@
993   PCASMSetOverlap - Sets the overlap between a pair of subdomains for the
994   additive Schwarz preconditioner, `PCASM`.
995 
996   Logically Collective
997 
998   Input Parameters:
999 + pc  - the preconditioner context
1000 - ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1)
1001 
1002   Options Database Key:
1003 . -pc_asm_overlap <ovl> - Sets overlap
1004 
1005   Level: intermediate
1006 
1007   Notes:
1008   By default the `PCASM` preconditioner uses 1 block per processor.  To use
1009   multiple blocks per perocessor, see `PCASMSetTotalSubdomains()` and
1010   `PCASMSetLocalSubdomains()` (and the option -pc_asm_blocks <blks>).
1011 
1012   The overlap defaults to 1, so if one desires that no additional
1013   overlap be computed beyond what may have been set with a call to
1014   `PCASMSetTotalSubdomains()` or `PCASMSetLocalSubdomains()`, then ovl
1015   must be set to be 0.  In particular, if one does not explicitly set
1016   the subdomains an application code, then all overlap would be computed
1017   internally by PETSc, and using an overlap of 0 would result in an `PCASM`
1018   variant that is equivalent to the block Jacobi preconditioner.
1019 
1020   The default algorithm used by PETSc to increase overlap is fast, but not scalable,
1021   use the option -mat_increase_overlap_scalable when the problem and number of processes is large.
1022 
1023   One can define initial index sets with any overlap via
1024   `PCASMSetLocalSubdomains()`; the routine
1025   `PCASMSetOverlap()` merely allows PETSc to extend that overlap further
1026   if desired.
1027 
1028 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
1029           `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `MatIncreaseOverlap()`, `PCGASM`
1030 @*/
1031 PetscErrorCode PCASMSetOverlap(PC pc, PetscInt ovl)
1032 {
1033   PetscFunctionBegin;
1034   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1035   PetscValidLogicalCollectiveInt(pc, ovl, 2);
1036   PetscTryMethod(pc, "PCASMSetOverlap_C", (PC, PetscInt), (pc, ovl));
1037   PetscFunctionReturn(PETSC_SUCCESS);
1038 }
1039 
1040 /*@
1041   PCASMSetType - Sets the type of restriction and interpolation used
1042   for local problems in the additive Schwarz method, `PCASM`.
1043 
1044   Logically Collective
1045 
1046   Input Parameters:
1047 + pc   - the preconditioner context
1048 - type - variant of `PCASM`, one of
1049 .vb
1050       PC_ASM_BASIC       - full interpolation and restriction
1051       PC_ASM_RESTRICT    - full restriction, local processor interpolation (default)
1052       PC_ASM_INTERPOLATE - full interpolation, local processor restriction
1053       PC_ASM_NONE        - local processor restriction and interpolation
1054 .ve
1055 
1056   Options Database Key:
1057 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`
1058 
1059   Level: intermediate
1060 
1061   Note:
1062   if the is_local arguments are passed to `PCASMSetLocalSubdomains()` then they are used when `PC_ASM_RESTRICT` has been selected
1063   to limit the local processor interpolation
1064 
1065 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
1066           `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetLocalType()`, `PCASMGetLocalType()`, `PCGASM`
1067 @*/
1068 PetscErrorCode PCASMSetType(PC pc, PCASMType type)
1069 {
1070   PetscFunctionBegin;
1071   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1072   PetscValidLogicalCollectiveEnum(pc, type, 2);
1073   PetscTryMethod(pc, "PCASMSetType_C", (PC, PCASMType), (pc, type));
1074   PetscFunctionReturn(PETSC_SUCCESS);
1075 }
1076 
1077 /*@
1078   PCASMGetType - Gets the type of restriction and interpolation used
1079   for local problems in the additive Schwarz method, `PCASM`.
1080 
1081   Logically Collective
1082 
1083   Input Parameter:
1084 . pc - the preconditioner context
1085 
1086   Output Parameter:
1087 . type - variant of `PCASM`, one of
1088 .vb
1089       PC_ASM_BASIC       - full interpolation and restriction
1090       PC_ASM_RESTRICT    - full restriction, local processor interpolation
1091       PC_ASM_INTERPOLATE - full interpolation, local processor restriction
1092       PC_ASM_NONE        - local processor restriction and interpolation
1093 .ve
1094 
1095   Options Database Key:
1096 . -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASM` type
1097 
1098   Level: intermediate
1099 
1100 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, `PCGASM`,
1101           `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
1102 @*/
1103 PetscErrorCode PCASMGetType(PC pc, PCASMType *type)
1104 {
1105   PetscFunctionBegin;
1106   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1107   PetscUseMethod(pc, "PCASMGetType_C", (PC, PCASMType *), (pc, type));
1108   PetscFunctionReturn(PETSC_SUCCESS);
1109 }
1110 
1111 /*@
1112   PCASMSetLocalType - Sets the type of composition used for local problems in the additive Schwarz method, `PCASM`.
1113 
1114   Logically Collective
1115 
1116   Input Parameters:
1117 + pc   - the preconditioner context
1118 - type - type of composition, one of
1119 .vb
1120   PC_COMPOSITE_ADDITIVE       - local additive combination
1121   PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
1122 .ve
1123 
1124   Options Database Key:
1125 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type
1126 
1127   Level: intermediate
1128 
1129 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMGetLocalType()`, `PCASMType`, `PCCompositeType`
1130 @*/
1131 PetscErrorCode PCASMSetLocalType(PC pc, PCCompositeType type)
1132 {
1133   PetscFunctionBegin;
1134   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1135   PetscValidLogicalCollectiveEnum(pc, type, 2);
1136   PetscTryMethod(pc, "PCASMSetLocalType_C", (PC, PCCompositeType), (pc, type));
1137   PetscFunctionReturn(PETSC_SUCCESS);
1138 }
1139 
1140 /*@
1141   PCASMGetLocalType - Gets the type of composition used for local problems in the additive Schwarz method, `PCASM`.
1142 
1143   Logically Collective
1144 
1145   Input Parameter:
1146 . pc - the preconditioner context
1147 
1148   Output Parameter:
1149 . type - type of composition, one of
1150 .vb
1151   PC_COMPOSITE_ADDITIVE       - local additive combination
1152   PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
1153 .ve
1154 
1155   Options Database Key:
1156 . -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type
1157 
1158   Level: intermediate
1159 
1160 .seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMType`, `PCCompositeType`
1161 @*/
1162 PetscErrorCode PCASMGetLocalType(PC pc, PCCompositeType *type)
1163 {
1164   PetscFunctionBegin;
1165   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1166   PetscAssertPointer(type, 2);
1167   PetscUseMethod(pc, "PCASMGetLocalType_C", (PC, PCCompositeType *), (pc, type));
1168   PetscFunctionReturn(PETSC_SUCCESS);
1169 }
1170 
1171 /*@
1172   PCASMSetSortIndices - Determines whether subdomain indices are sorted.
1173 
1174   Logically Collective
1175 
1176   Input Parameters:
1177 + pc     - the preconditioner context
1178 - doSort - sort the subdomain indices
1179 
1180   Level: intermediate
1181 
1182 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
1183           `PCASMCreateSubdomains2D()`
1184 @*/
1185 PetscErrorCode PCASMSetSortIndices(PC pc, PetscBool doSort)
1186 {
1187   PetscFunctionBegin;
1188   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1189   PetscValidLogicalCollectiveBool(pc, doSort, 2);
1190   PetscTryMethod(pc, "PCASMSetSortIndices_C", (PC, PetscBool), (pc, doSort));
1191   PetscFunctionReturn(PETSC_SUCCESS);
1192 }
1193 
1194 /*@C
1195   PCASMGetSubKSP - Gets the local `KSP` contexts for all blocks on
1196   this processor.
1197 
1198   Collective iff first_local is requested
1199 
1200   Input Parameter:
1201 . pc - the preconditioner context
1202 
1203   Output Parameters:
1204 + n_local     - the number of blocks on this processor or `NULL`
1205 . first_local - the global number of the first block on this processor or `NULL`, all processors must request or all must pass `NULL`
1206 - ksp         - the array of `KSP` contexts
1207 
1208   Level: advanced
1209 
1210   Notes:
1211   After `PCASMGetSubKSP()` the array of `KSP`s is not to be freed.
1212 
1213   You must call `KSPSetUp()` before calling `PCASMGetSubKSP()`.
1214 
1215 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`,
1216           `PCASMCreateSubdomains2D()`,
1217 @*/
1218 PetscErrorCode PCASMGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[])
1219 {
1220   PetscFunctionBegin;
1221   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1222   PetscUseMethod(pc, "PCASMGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp));
1223   PetscFunctionReturn(PETSC_SUCCESS);
1224 }
1225 
1226 /*MC
1227    PCASM - Use the (restricted) additive Schwarz method, each block is (approximately) solved with
1228            its own `KSP` object, {cite}`dryja1987additive` and {cite}`1sbg`
1229 
1230    Options Database Keys:
1231 +  -pc_asm_blocks <blks>                          - Sets total blocks. Defaults to one block per MPI process.
1232 .  -pc_asm_overlap <ovl>                          - Sets overlap
1233 .  -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`, default is restrict. See `PCASMSetType()`
1234 .  -pc_asm_dm_subdomains <bool>                   - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()`
1235 -  -pc_asm_local_type [additive, multiplicative]  - Sets `PCCompositeType`, default is additive. See `PCASMSetLocalType()`
1236 
1237    Level: beginner
1238 
1239    Notes:
1240    If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you
1241    will get a different convergence rate due to the default option of `-pc_asm_type restrict`. Use
1242    `-pc_asm_type basic` to get the same convergence behavior
1243 
1244    Each processor can have one or more blocks, but a block cannot be shared by more
1245    than one processor. Use `PCGASM` for subdomains shared by multiple processes.
1246 
1247    To set options on the solvers for each block append `-sub_` to all the `KSP`, and `PC`
1248    options database keys. For example, `-sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly`
1249 
1250    To set the options on the solvers separate for each block call `PCASMGetSubKSP()`
1251    and set the options directly on the resulting `KSP` object (you can access its `PC` with `KSPGetPC()`)
1252 
1253    If the `PC` has an associated `DM`, then, by default, `DMCreateDomainDecomposition()` is used to create the subdomains
1254 
1255 .seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCASMType`, `PCCompositeType`,
1256           `PCBJACOBI`, `PCASMGetSubKSP()`, `PCASMSetLocalSubdomains()`, `PCASMType`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
1257           `PCASMSetTotalSubdomains()`, `PCSetModifySubMatrices()`, `PCASMSetOverlap()`, `PCASMSetType()`, `PCCompositeType`
1258 M*/
1259 
1260 PETSC_EXTERN PetscErrorCode PCCreate_ASM(PC pc)
1261 {
1262   PC_ASM *osm;
1263 
1264   PetscFunctionBegin;
1265   PetscCall(PetscNew(&osm));
1266 
1267   osm->n             = PETSC_DECIDE;
1268   osm->n_local       = 0;
1269   osm->n_local_true  = PETSC_DECIDE;
1270   osm->overlap       = 1;
1271   osm->ksp           = NULL;
1272   osm->restriction   = NULL;
1273   osm->lprolongation = NULL;
1274   osm->lrestriction  = NULL;
1275   osm->x             = NULL;
1276   osm->y             = NULL;
1277   osm->is            = NULL;
1278   osm->is_local      = NULL;
1279   osm->mat           = NULL;
1280   osm->pmat          = NULL;
1281   osm->type          = PC_ASM_RESTRICT;
1282   osm->loctype       = PC_COMPOSITE_ADDITIVE;
1283   osm->sort_indices  = PETSC_TRUE;
1284   osm->dm_subdomains = PETSC_FALSE;
1285   osm->sub_mat_type  = NULL;
1286 
1287   pc->data                 = (void *)osm;
1288   pc->ops->apply           = PCApply_ASM;
1289   pc->ops->matapply        = PCMatApply_ASM;
1290   pc->ops->applytranspose  = PCApplyTranspose_ASM;
1291   pc->ops->setup           = PCSetUp_ASM;
1292   pc->ops->reset           = PCReset_ASM;
1293   pc->ops->destroy         = PCDestroy_ASM;
1294   pc->ops->setfromoptions  = PCSetFromOptions_ASM;
1295   pc->ops->setuponblocks   = PCSetUpOnBlocks_ASM;
1296   pc->ops->view            = PCView_ASM;
1297   pc->ops->applyrichardson = NULL;
1298 
1299   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", PCASMSetLocalSubdomains_ASM));
1300   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", PCASMSetTotalSubdomains_ASM));
1301   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", PCASMSetOverlap_ASM));
1302   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", PCASMSetType_ASM));
1303   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", PCASMGetType_ASM));
1304   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", PCASMSetLocalType_ASM));
1305   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", PCASMGetLocalType_ASM));
1306   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", PCASMSetSortIndices_ASM));
1307   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", PCASMGetSubKSP_ASM));
1308   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", PCASMGetSubMatType_ASM));
1309   PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", PCASMSetSubMatType_ASM));
1310   PetscFunctionReturn(PETSC_SUCCESS);
1311 }
1312 
1313 /*@C
1314   PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz
1315   preconditioner, `PCASM`,  for any problem on a general grid.
1316 
1317   Collective
1318 
1319   Input Parameters:
1320 + A - The global matrix operator
1321 - n - the number of local blocks
1322 
1323   Output Parameter:
1324 . outis - the array of index sets defining the subdomains
1325 
1326   Level: advanced
1327 
1328   Note:
1329   This generates nonoverlapping subdomains; the `PCASM` will generate the overlap
1330   from these if you use `PCASMSetLocalSubdomains()`
1331 
1332 .seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMDestroySubdomains()`
1333 @*/
1334 PetscErrorCode PCASMCreateSubdomains(Mat A, PetscInt n, IS *outis[])
1335 {
1336   MatPartitioning mpart;
1337   const char     *prefix;
1338   PetscInt        i, j, rstart, rend, bs;
1339   PetscBool       hasop, isbaij = PETSC_FALSE, foundpart = PETSC_FALSE;
1340   Mat             Ad = NULL, adj;
1341   IS              ispart, isnumb, *is;
1342 
1343   PetscFunctionBegin;
1344   PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
1345   PetscAssertPointer(outis, 3);
1346   PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "number of local blocks must be > 0, n = %" PetscInt_FMT, n);
1347 
1348   /* Get prefix, row distribution, and block size */
1349   PetscCall(MatGetOptionsPrefix(A, &prefix));
1350   PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
1351   PetscCall(MatGetBlockSize(A, &bs));
1352   PetscCheck(rstart / bs * bs == rstart && rend / bs * bs == rend, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "bad row distribution [%" PetscInt_FMT ",%" PetscInt_FMT ") for matrix block size %" PetscInt_FMT, rstart, rend, bs);
1353 
1354   /* Get diagonal block from matrix if possible */
1355   PetscCall(MatHasOperation(A, MATOP_GET_DIAGONAL_BLOCK, &hasop));
1356   if (hasop) PetscCall(MatGetDiagonalBlock(A, &Ad));
1357   if (Ad) {
1358     PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQBAIJ, &isbaij));
1359     if (!isbaij) PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQSBAIJ, &isbaij));
1360   }
1361   if (Ad && n > 1) {
1362     PetscBool match, done;
1363     /* Try to setup a good matrix partitioning if available */
1364     PetscCall(MatPartitioningCreate(PETSC_COMM_SELF, &mpart));
1365     PetscCall(PetscObjectSetOptionsPrefix((PetscObject)mpart, prefix));
1366     PetscCall(MatPartitioningSetFromOptions(mpart));
1367     PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGCURRENT, &match));
1368     if (!match) PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGSQUARE, &match));
1369     if (!match) { /* assume a "good" partitioner is available */
1370       PetscInt        na;
1371       const PetscInt *ia, *ja;
1372       PetscCall(MatGetRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
1373       if (done) {
1374         /* Build adjacency matrix by hand. Unfortunately a call to
1375            MatConvert(Ad,MATMPIADJ,MAT_INITIAL_MATRIX,&adj) will
1376            remove the block-aij structure and we cannot expect
1377            MatPartitioning to split vertices as we need */
1378         PetscInt        i, j, len, nnz, cnt, *iia = NULL, *jja = NULL;
1379         const PetscInt *row;
1380         nnz = 0;
1381         for (i = 0; i < na; i++) { /* count number of nonzeros */
1382           len = ia[i + 1] - ia[i];
1383           row = ja + ia[i];
1384           for (j = 0; j < len; j++) {
1385             if (row[j] == i) { /* don't count diagonal */
1386               len--;
1387               break;
1388             }
1389           }
1390           nnz += len;
1391         }
1392         PetscCall(PetscMalloc1(na + 1, &iia));
1393         PetscCall(PetscMalloc1(nnz, &jja));
1394         nnz    = 0;
1395         iia[0] = 0;
1396         for (i = 0; i < na; i++) { /* fill adjacency */
1397           cnt = 0;
1398           len = ia[i + 1] - ia[i];
1399           row = ja + ia[i];
1400           for (j = 0; j < len; j++) {
1401             if (row[j] != i) { /* if not diagonal */
1402               jja[nnz + cnt++] = row[j];
1403             }
1404           }
1405           nnz += cnt;
1406           iia[i + 1] = nnz;
1407         }
1408         /* Partitioning of the adjacency matrix */
1409         PetscCall(MatCreateMPIAdj(PETSC_COMM_SELF, na, na, iia, jja, NULL, &adj));
1410         PetscCall(MatPartitioningSetAdjacency(mpart, adj));
1411         PetscCall(MatPartitioningSetNParts(mpart, n));
1412         PetscCall(MatPartitioningApply(mpart, &ispart));
1413         PetscCall(ISPartitioningToNumbering(ispart, &isnumb));
1414         PetscCall(MatDestroy(&adj));
1415         foundpart = PETSC_TRUE;
1416       }
1417       PetscCall(MatRestoreRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
1418     }
1419     PetscCall(MatPartitioningDestroy(&mpart));
1420   }
1421 
1422   PetscCall(PetscMalloc1(n, &is));
1423   *outis = is;
1424 
1425   if (!foundpart) {
1426     /* Partitioning by contiguous chunks of rows */
1427 
1428     PetscInt mbs   = (rend - rstart) / bs;
1429     PetscInt start = rstart;
1430     for (i = 0; i < n; i++) {
1431       PetscInt count = (mbs / n + ((mbs % n) > i)) * bs;
1432       PetscCall(ISCreateStride(PETSC_COMM_SELF, count, start, 1, &is[i]));
1433       start += count;
1434     }
1435 
1436   } else {
1437     /* Partitioning by adjacency of diagonal block  */
1438 
1439     const PetscInt *numbering;
1440     PetscInt       *count, nidx, *indices, *newidx, start = 0;
1441     /* Get node count in each partition */
1442     PetscCall(PetscMalloc1(n, &count));
1443     PetscCall(ISPartitioningCount(ispart, n, count));
1444     if (isbaij && bs > 1) { /* adjust for the block-aij case */
1445       for (i = 0; i < n; i++) count[i] *= bs;
1446     }
1447     /* Build indices from node numbering */
1448     PetscCall(ISGetLocalSize(isnumb, &nidx));
1449     PetscCall(PetscMalloc1(nidx, &indices));
1450     for (i = 0; i < nidx; i++) indices[i] = i; /* needs to be initialized */
1451     PetscCall(ISGetIndices(isnumb, &numbering));
1452     PetscCall(PetscSortIntWithPermutation(nidx, numbering, indices));
1453     PetscCall(ISRestoreIndices(isnumb, &numbering));
1454     if (isbaij && bs > 1) { /* adjust for the block-aij case */
1455       PetscCall(PetscMalloc1(nidx * bs, &newidx));
1456       for (i = 0; i < nidx; i++) {
1457         for (j = 0; j < bs; j++) newidx[i * bs + j] = indices[i] * bs + j;
1458       }
1459       PetscCall(PetscFree(indices));
1460       nidx *= bs;
1461       indices = newidx;
1462     }
1463     /* Shift to get global indices */
1464     for (i = 0; i < nidx; i++) indices[i] += rstart;
1465 
1466     /* Build the index sets for each block */
1467     for (i = 0; i < n; i++) {
1468       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, count[i], &indices[start], PETSC_COPY_VALUES, &is[i]));
1469       PetscCall(ISSort(is[i]));
1470       start += count[i];
1471     }
1472 
1473     PetscCall(PetscFree(count));
1474     PetscCall(PetscFree(indices));
1475     PetscCall(ISDestroy(&isnumb));
1476     PetscCall(ISDestroy(&ispart));
1477   }
1478   PetscFunctionReturn(PETSC_SUCCESS);
1479 }
1480 
1481 /*@C
1482   PCASMDestroySubdomains - Destroys the index sets created with
1483   `PCASMCreateSubdomains()`. Should be called after setting subdomains with `PCASMSetLocalSubdomains()`.
1484 
1485   Collective
1486 
1487   Input Parameters:
1488 + n        - the number of index sets
1489 . is       - the array of index sets
1490 - is_local - the array of local index sets, can be `NULL`
1491 
1492   Level: advanced
1493 
1494   Developer Note:
1495   The `IS` arguments should be a *[]
1496 
1497 .seealso: [](ch_ksp), `PCASM`, `PCASMCreateSubdomains()`, `PCASMSetLocalSubdomains()`
1498 @*/
1499 PetscErrorCode PCASMDestroySubdomains(PetscInt n, IS *is[], IS *is_local[])
1500 {
1501   PetscInt i;
1502 
1503   PetscFunctionBegin;
1504   if (n <= 0) PetscFunctionReturn(PETSC_SUCCESS);
1505   if (*is) {
1506     PetscAssertPointer(*is, 2);
1507     for (i = 0; i < n; i++) PetscCall(ISDestroy(&(*is)[i]));
1508     PetscCall(PetscFree(*is));
1509   }
1510   if (is_local && *is_local) {
1511     PetscAssertPointer(*is_local, 3);
1512     for (i = 0; i < n; i++) PetscCall(ISDestroy(&(*is_local)[i]));
1513     PetscCall(PetscFree(*is_local));
1514   }
1515   PetscFunctionReturn(PETSC_SUCCESS);
1516 }
1517 
1518 /*@C
1519   PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz
1520   preconditioner, `PCASM`, for a two-dimensional problem on a regular grid.
1521 
1522   Not Collective
1523 
1524   Input Parameters:
1525 + m       - the number of mesh points in the x direction
1526 . n       - the number of mesh points in the y direction
1527 . M       - the number of subdomains in the x direction
1528 . N       - the number of subdomains in the y direction
1529 . dof     - degrees of freedom per node
1530 - overlap - overlap in mesh lines
1531 
1532   Output Parameters:
1533 + Nsub     - the number of subdomains created
1534 . is       - array of index sets defining overlapping (if overlap > 0) subdomains
1535 - is_local - array of index sets defining non-overlapping subdomains
1536 
1537   Level: advanced
1538 
1539   Note:
1540   Presently `PCAMSCreateSubdomains2d()` is valid only for sequential
1541   preconditioners.  More general related routines are
1542   `PCASMSetTotalSubdomains()` and `PCASMSetLocalSubdomains()`.
1543 
1544   Fortran Notes:
1545   `is` must be declared as an array of length long enough to hold `Nsub` entries
1546 
1547 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
1548           `PCASMSetOverlap()`
1549 @*/
1550 PetscErrorCode PCASMCreateSubdomains2D(PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt dof, PetscInt overlap, PetscInt *Nsub, IS *is[], IS *is_local[])
1551 {
1552   PetscInt i, j, height, width, ystart, xstart, yleft, yright, xleft, xright, loc_outer;
1553   PetscInt nidx, *idx, loc, ii, jj, count;
1554 
1555   PetscFunctionBegin;
1556   PetscCheck(dof == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "dof must be 1");
1557 
1558   *Nsub = N * M;
1559   PetscCall(PetscMalloc1(*Nsub, is));
1560   PetscCall(PetscMalloc1(*Nsub, is_local));
1561   ystart    = 0;
1562   loc_outer = 0;
1563   for (i = 0; i < N; i++) {
1564     height = n / N + ((n % N) > i); /* height of subdomain */
1565     PetscCheck(height >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many N subdomains for mesh dimension n");
1566     yleft = ystart - overlap;
1567     if (yleft < 0) yleft = 0;
1568     yright = ystart + height + overlap;
1569     if (yright > n) yright = n;
1570     xstart = 0;
1571     for (j = 0; j < M; j++) {
1572       width = m / M + ((m % M) > j); /* width of subdomain */
1573       PetscCheck(width >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many M subdomains for mesh dimension m");
1574       xleft = xstart - overlap;
1575       if (xleft < 0) xleft = 0;
1576       xright = xstart + width + overlap;
1577       if (xright > m) xright = m;
1578       nidx = (xright - xleft) * (yright - yleft);
1579       PetscCall(PetscMalloc1(nidx, &idx));
1580       loc = 0;
1581       for (ii = yleft; ii < yright; ii++) {
1582         count = m * ii + xleft;
1583         for (jj = xleft; jj < xright; jj++) idx[loc++] = count++;
1584       }
1585       PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nidx, idx, PETSC_COPY_VALUES, (*is) + loc_outer));
1586       if (overlap == 0) {
1587         PetscCall(PetscObjectReference((PetscObject)(*is)[loc_outer]));
1588 
1589         (*is_local)[loc_outer] = (*is)[loc_outer];
1590       } else {
1591         for (loc = 0, ii = ystart; ii < ystart + height; ii++) {
1592           for (jj = xstart; jj < xstart + width; jj++) idx[loc++] = m * ii + jj;
1593         }
1594         PetscCall(ISCreateGeneral(PETSC_COMM_SELF, loc, idx, PETSC_COPY_VALUES, *is_local + loc_outer));
1595       }
1596       PetscCall(PetscFree(idx));
1597       xstart += width;
1598       loc_outer++;
1599     }
1600     ystart += height;
1601   }
1602   for (i = 0; i < *Nsub; i++) PetscCall(ISSort((*is)[i]));
1603   PetscFunctionReturn(PETSC_SUCCESS);
1604 }
1605 
1606 /*@C
1607   PCASMGetLocalSubdomains - Gets the local subdomains (for this processor
1608   only) for the additive Schwarz preconditioner, `PCASM`.
1609 
1610   Not Collective
1611 
1612   Input Parameter:
1613 . pc - the preconditioner context
1614 
1615   Output Parameters:
1616 + n        - if requested, the number of subdomains for this processor (default value = 1)
1617 . is       - if requested, the index sets that define the subdomains for this processor
1618 - is_local - if requested, the index sets that define the local part of the subdomains for this processor (can be `NULL`)
1619 
1620   Level: advanced
1621 
1622   Note:
1623   The `IS` numbering is in the parallel, global numbering of the vector.
1624 
1625   Fortran Note:
1626   Pass in for `is` and `is_local` arrays long enough to hold all the subdomains
1627 
1628 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
1629           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubmatrices()`
1630 @*/
1631 PetscErrorCode PCASMGetLocalSubdomains(PC pc, PetscInt *n, IS *is[], IS *is_local[])
1632 {
1633   PC_ASM   *osm = (PC_ASM *)pc->data;
1634   PetscBool match;
1635 
1636   PetscFunctionBegin;
1637   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1638   if (n) PetscAssertPointer(n, 2);
1639   if (is) PetscAssertPointer(is, 3);
1640   if (is_local) PetscAssertPointer(is_local, 4);
1641   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1642   PetscCheck(match, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "PC is not a PCASM");
1643   if (n) *n = osm->n_local_true;
1644   if (is) *is = osm->is;
1645   if (is_local) *is_local = osm->is_local;
1646   PetscFunctionReturn(PETSC_SUCCESS);
1647 }
1648 
1649 /*@C
1650   PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor
1651   only) for the additive Schwarz preconditioner, `PCASM`.
1652 
1653   Not Collective
1654 
1655   Input Parameter:
1656 . pc - the preconditioner context
1657 
1658   Output Parameters:
1659 + n   - if requested, the number of matrices for this processor (default value = 1)
1660 - mat - if requested, the matrices
1661 
1662   Level: advanced
1663 
1664   Notes:
1665   Call after `PCSetUp()` (or `KSPSetUp()`) but before `PCApply()` and before `PCSetUpOnBlocks()`)
1666 
1667   Usually one would use `PCSetModifySubMatrices()` to change the submatrices in building the preconditioner.
1668 
1669   Fortran Note:
1670   Pass in for `mat` an array long enough to hold all the matrices
1671 
1672 .seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
1673           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`, `PCSetModifySubMatrices()`
1674 @*/
1675 PetscErrorCode PCASMGetLocalSubmatrices(PC pc, PetscInt *n, Mat *mat[])
1676 {
1677   PC_ASM   *osm;
1678   PetscBool match;
1679 
1680   PetscFunctionBegin;
1681   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1682   if (n) PetscAssertPointer(n, 2);
1683   if (mat) PetscAssertPointer(mat, 3);
1684   PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call after KSPSetUp() or PCSetUp().");
1685   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1686   if (!match) {
1687     if (n) *n = 0;
1688     if (mat) *mat = NULL;
1689   } else {
1690     osm = (PC_ASM *)pc->data;
1691     if (n) *n = osm->n_local_true;
1692     if (mat) *mat = osm->pmat;
1693   }
1694   PetscFunctionReturn(PETSC_SUCCESS);
1695 }
1696 
1697 /*@
1698   PCASMSetDMSubdomains - Indicates whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.
1699 
1700   Logically Collective
1701 
1702   Input Parameters:
1703 + pc  - the preconditioner
1704 - flg - boolean indicating whether to use subdomains defined by the `DM`
1705 
1706   Options Database Key:
1707 . -pc_asm_dm_subdomains <bool> - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()`
1708 
1709   Level: intermediate
1710 
1711   Note:
1712   `PCASMSetTotalSubdomains()` and `PCASMSetOverlap()` take precedence over `PCASMSetDMSubdomains()`,
1713   so setting either of the first two effectively turns the latter off.
1714 
1715   Developer Note:
1716   This should be `PCASMSetUseDMSubdomains()`, similarly for the options database key
1717 
1718 .seealso: [](ch_ksp), `PCASM`, `PCASMGetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
1719           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
1720 @*/
1721 PetscErrorCode PCASMSetDMSubdomains(PC pc, PetscBool flg)
1722 {
1723   PC_ASM   *osm = (PC_ASM *)pc->data;
1724   PetscBool match;
1725 
1726   PetscFunctionBegin;
1727   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1728   PetscValidLogicalCollectiveBool(pc, flg, 2);
1729   PetscCheck(!pc->setupcalled, ((PetscObject)pc)->comm, PETSC_ERR_ARG_WRONGSTATE, "Not for a setup PC.");
1730   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1731   if (match) osm->dm_subdomains = flg;
1732   PetscFunctionReturn(PETSC_SUCCESS);
1733 }
1734 
1735 /*@
1736   PCASMGetDMSubdomains - Returns flag indicating whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.
1737 
1738   Not Collective
1739 
1740   Input Parameter:
1741 . pc - the preconditioner
1742 
1743   Output Parameter:
1744 . flg - boolean indicating whether to use subdomains defined by the `DM`
1745 
1746   Level: intermediate
1747 
1748   Developer Note:
1749   This should be `PCASMSetUseDMSubdomains()`
1750 
1751 .seealso: [](ch_ksp), `PCASM`, `PCASMSetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
1752           `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
1753 @*/
1754 PetscErrorCode PCASMGetDMSubdomains(PC pc, PetscBool *flg)
1755 {
1756   PC_ASM   *osm = (PC_ASM *)pc->data;
1757   PetscBool match;
1758 
1759   PetscFunctionBegin;
1760   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1761   PetscAssertPointer(flg, 2);
1762   PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
1763   if (match) *flg = osm->dm_subdomains;
1764   else *flg = PETSC_FALSE;
1765   PetscFunctionReturn(PETSC_SUCCESS);
1766 }
1767 
1768 /*@
1769   PCASMGetSubMatType - Gets the matrix type used for `PCASM` subsolves, as a string.
1770 
1771   Not Collective
1772 
1773   Input Parameter:
1774 . pc - the `PC`
1775 
1776   Output Parameter:
1777 . sub_mat_type - name of matrix type
1778 
1779   Level: advanced
1780 
1781 .seealso: [](ch_ksp), `PCASM`, `PCASMSetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
1782 @*/
1783 PetscErrorCode PCASMGetSubMatType(PC pc, MatType *sub_mat_type)
1784 {
1785   PetscFunctionBegin;
1786   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1787   PetscTryMethod(pc, "PCASMGetSubMatType_C", (PC, MatType *), (pc, sub_mat_type));
1788   PetscFunctionReturn(PETSC_SUCCESS);
1789 }
1790 
1791 /*@
1792   PCASMSetSubMatType - Set the type of matrix used for `PCASM` subsolves
1793 
1794   Collective
1795 
1796   Input Parameters:
1797 + pc           - the `PC` object
1798 - sub_mat_type - the `MatType`
1799 
1800   Options Database Key:
1801 . -pc_asm_sub_mat_type  <sub_mat_type> - Sets the matrix type used for subsolves, for example, seqaijviennacl.
1802    If you specify a base name like aijviennacl, the corresponding sequential type is assumed.
1803 
1804   Note:
1805   See `MatType` for available types
1806 
1807   Level: advanced
1808 
1809 .seealso: [](ch_ksp), `PCASM`, `PCASMGetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
1810 @*/
1811 PetscErrorCode PCASMSetSubMatType(PC pc, MatType sub_mat_type)
1812 {
1813   PetscFunctionBegin;
1814   PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
1815   PetscTryMethod(pc, "PCASMSetSubMatType_C", (PC, MatType), (pc, sub_mat_type));
1816   PetscFunctionReturn(PETSC_SUCCESS);
1817 }
1818