Date: 2025-03-29T05:58:30+00:00

Actual source code: gdsw.c

      1: #include <petsc/private/pcmgimpl.h>
      2: #include <petsc/private/pcbddcimpl.h>
      3: #include <petsc/private/pcbddcprivateimpl.h>

      5: static PetscErrorCode PCMGGDSWSetUp(PC pc, PetscInt l, DM dm, KSP smooth, PetscInt Nc, Mat A, PetscInt *ns, Mat **sA_IG_n, KSP **sksp_n, IS **sI_n, IS **sG_n, Mat **sGf_n, IS **sGi_n, IS **sGiM_n)
      6: {
      7:   KSP                   *sksp;
      8:   PC                     pcbddc = NULL, smoothpc;
      9:   PC_BDDC               *ipcbddc;
     10:   PC_IS                 *ipcis;
     11:   Mat                   *sA_IG, *sGf, cmat, lA;
     12:   ISLocalToGlobalMapping l2g;
     13:   IS                    *sI, *sG, *sGi, *sGiM, cref;
     14:   PCBDDCSubSchurs        sub_schurs = NULL;
     15:   PCBDDCGraph            graph;
     16:   const char            *prefix;
     17:   const PetscScalar     *tdata;
     18:   PetscScalar           *data, *cdata;
     19:   PetscReal              tol = 0.0, otol;
     20:   const PetscInt        *ia, *ja;
     21:   PetscInt              *ccii, *cridx;
     22:   PetscInt               i, j, ngct, ng, dbg = 0, odbg, minmax[2] = {0, PETSC_INT_MAX}, ominmax[2], vsize;
     23:   PetscBool              flg, userdefined = PETSC_TRUE, reuse_solver = PETSC_TRUE, reduced = PETSC_FALSE;

     25:   PetscFunctionBegin;
     26:   PetscCall(MatGetBlockSize(A, &vsize));
     27:   PetscCall(KSPGetOptionsPrefix(smooth, &prefix));
     28:   PetscOptionsBegin(PetscObjectComm((PetscObject)smooth), prefix, "GDSW options", "PC");
     29:   PetscCall(PetscOptionsReal("-gdsw_tolerance", "Tolerance for eigenvalue problem", NULL, tol, &tol, NULL));
     30:   PetscCall(PetscOptionsBool("-gdsw_userdefined", "Use user-defined functions in addition to those adaptively generated", NULL, userdefined, &userdefined, NULL));
     31:   PetscCall(PetscOptionsIntArray("-gdsw_minmax", "Minimum and maximum number of basis functions per connected component for adaptive GDSW", NULL, minmax, (i = 2, &i), NULL));
     32:   PetscCall(PetscOptionsInt("-gdsw_vertex_size", "Connected components smaller or equal to vertex size will be considered as vertices", NULL, vsize, &vsize, NULL));
     33:   PetscCall(PetscOptionsBool("-gdsw_reuse", "Reuse interior solver from Schur complement computations", NULL, reuse_solver, &reuse_solver, NULL));
     34:   PetscCall(PetscOptionsBool("-gdsw_reduced", "Reduced GDSW", NULL, reduced, &reduced, NULL));
     35:   PetscCall(PetscOptionsInt("-gdsw_debug", "Debug output", NULL, dbg, &dbg, NULL));
     36:   PetscOptionsEnd();

     38:   PetscCall(PetscObjectTypeCompare((PetscObject)A, MATIS, &flg));
     39:   if (!flg) {
     40:     MatNullSpace nnsp;

     42:     PetscCall(MatGetNearNullSpace(A, &nnsp));
     43:     PetscCall(PetscObjectReference((PetscObject)nnsp));
     44:     PetscCall(MatConvert(A, MATIS, MAT_INITIAL_MATRIX, &A));
     45:     PetscCall(MatSetNearNullSpace(A, nnsp));
     46:     PetscCall(MatNullSpaceDestroy(&nnsp));
     47:   } else PetscCall(PetscObjectReference((PetscObject)A));

     49:   /* TODO Multi sub */
     50:   *ns = 1;
     51:   PetscCall(PetscMalloc1(*ns, &sA_IG));
     52:   PetscCall(PetscMalloc1(*ns, &sksp));
     53:   PetscCall(PetscMalloc1(*ns, &sI));
     54:   PetscCall(PetscMalloc1(*ns, &sG));
     55:   PetscCall(PetscMalloc1(*ns, &sGf));
     56:   PetscCall(PetscMalloc1(*ns, &sGi));
     57:   PetscCall(PetscMalloc1(*ns, &sGiM));
     58:   *sA_IG_n = sA_IG;
     59:   *sksp_n  = sksp;
     60:   *sI_n    = sI;
     61:   *sG_n    = sG;
     62:   *sGf_n   = sGf;
     63:   *sGi_n   = sGi;
     64:   *sGiM_n  = sGiM;

     66:   /* submatrices and solvers */
     67:   PetscCall(KSPGetPC(smooth, &smoothpc));
     68:   PetscCall(PetscObjectTypeCompareAny((PetscObject)smoothpc, &flg, PCBDDC, ""));
     69:   if (!flg) {
     70:     Mat smoothA;

     72:     PetscCall(PCGetOperators(smoothpc, &smoothA, NULL));
     73:     PetscCall(PCCreate(PetscObjectComm((PetscObject)A), &pcbddc));
     74:     PetscCall(PCSetType(pcbddc, PCBDDC));
     75:     PetscCall(PCSetOperators(pcbddc, smoothA, A));
     76:     PetscCall(PCISSetUp(pcbddc, PETSC_TRUE, PETSC_FALSE));
     77:   } else {
     78:     PetscCall(PetscObjectReference((PetscObject)smoothpc));
     79:     pcbddc = smoothpc;
     80:   }
     81:   ipcis   = (PC_IS *)pcbddc->data;
     82:   ipcbddc = (PC_BDDC *)pcbddc->data;
     83:   PetscCall(PetscObjectReference((PetscObject)ipcis->A_IB));
     84:   PetscCall(PetscObjectReference((PetscObject)ipcis->is_I_global));
     85:   PetscCall(PetscObjectReference((PetscObject)ipcis->is_B_global));
     86:   sA_IG[0] = ipcis->A_IB;
     87:   sI[0]    = ipcis->is_I_global;
     88:   sG[0]    = ipcis->is_B_global;

     90:   PetscCall(KSPCreate(PetscObjectComm((PetscObject)ipcis->A_II), &sksp[0]));
     91:   PetscCall(KSPSetNestLevel(sksp[0], pc->kspnestlevel));
     92:   PetscCall(KSPSetOperators(sksp[0], ipcis->A_II, ipcis->pA_II));
     93:   PetscCall(KSPSetOptionsPrefix(sksp[0], prefix));
     94:   PetscCall(KSPAppendOptionsPrefix(sksp[0], "gdsw_"));
     95:   PetscCall(KSPSetFromOptions(sksp[0]));

     97:   /* analyze interface */
     98:   PetscCall(MatISGetLocalMat(A, &lA));
     99:   graph = ipcbddc->mat_graph;
    100:   if (!flg) {
    101:     PetscInt N;

    103:     PetscCall(MatISGetLocalToGlobalMapping(A, &l2g, NULL));
    104:     PetscCall(MatGetSize(A, &N, NULL));
    105:     PetscCall(PCBDDCGraphInit(graph, l2g, N, PETSC_INT_MAX));
    106:     PetscCall(MatGetRowIJ(lA, 0, PETSC_TRUE, PETSC_FALSE, &graph->nvtxs_csr, (const PetscInt **)&graph->xadj, (const PetscInt **)&graph->adjncy, &flg));
    107:     PetscCall(PCBDDCGraphSetUp(graph, vsize, NULL, NULL, 0, NULL, NULL));
    108:     PetscCall(MatRestoreRowIJ(lA, 0, PETSC_TRUE, PETSC_FALSE, &graph->nvtxs_csr, (const PetscInt **)&graph->xadj, (const PetscInt **)&graph->adjncy, &flg));
    109:     PetscCall(PCBDDCGraphComputeConnectedComponents(graph));
    110:   }
    111:   l2g = graph->l2gmap;
    112:   if (reduced) {
    113:     PetscContainer        gcand;
    114:     PCBDDCGraphCandidates cand;
    115:     PetscErrorCode (*rgdsw)(DM, PetscInt *, IS **);

    117:     PetscCall(PetscObjectQueryFunction((PetscObject)dm, "DMComputeLocalRGDSWSets", &rgdsw));
    118:     PetscCheck(rgdsw, PETSC_COMM_SELF, PETSC_ERR_SUP, "Not supported");
    119:     PetscCall(PetscNew(&cand));
    120:     PetscCall((*rgdsw)(dm, &cand->nfc, &cand->Faces));
    121:     /* filter interior (if any) and guarantee IS are ordered by global numbering */
    122:     for (i = 0; i < cand->nfc; i++) {
    123:       IS is, is2;

    125:       PetscCall(ISLocalToGlobalMappingApplyIS(l2g, cand->Faces[i], &is));
    126:       PetscCall(ISDestroy(&cand->Faces[i]));
    127:       PetscCall(ISSort(is));
    128:       PetscCall(ISGlobalToLocalMappingApplyIS(l2g, IS_GTOLM_DROP, is, &is2));
    129:       PetscCall(ISDestroy(&is));
    130:       PetscCall(ISGlobalToLocalMappingApplyIS(ipcis->BtoNmap, IS_GTOLM_DROP, is2, &is));
    131:       PetscCall(ISDestroy(&is2));
    132:       PetscCall(ISLocalToGlobalMappingApplyIS(ipcis->BtoNmap, is, &cand->Faces[i]));
    133:       PetscCall(ISDestroy(&is));
    134:     }
    135:     PetscCall(PetscContainerCreate(PETSC_COMM_SELF, &gcand));
    136:     PetscCall(PetscContainerSetPointer(gcand, cand));
    137:     PetscCall(PetscContainerSetCtxDestroy(gcand, PCBDDCDestroyGraphCandidatesIS));
    138:     PetscCall(PetscObjectCompose((PetscObject)l2g, "_PCBDDCGraphCandidatesIS", (PetscObject)gcand));
    139:     PetscCall(PetscContainerDestroy(&gcand));
    140:   }

    142:   /* interface functions */
    143:   otol                           = ipcbddc->adaptive_threshold[1];
    144:   odbg                           = ipcbddc->dbg_flag;
    145:   ominmax[0]                     = ipcbddc->adaptive_nmin;
    146:   ominmax[1]                     = ipcbddc->adaptive_nmax;
    147:   ipcbddc->adaptive_threshold[1] = tol;
    148:   ipcbddc->dbg_flag              = dbg;
    149:   ipcbddc->adaptive_nmin         = minmax[0];
    150:   ipcbddc->adaptive_nmax         = minmax[1];
    151:   if (tol != 0.0) { /* adaptive */
    152:     Mat lS;

    154:     PetscCall(MatCreateSchurComplement(ipcis->A_II, ipcis->pA_II, ipcis->A_IB, ipcis->A_BI, ipcis->A_BB, &lS));
    155:     PetscCall(KSPGetOptionsPrefix(sksp[0], &prefix));
    156:     PetscCall(PCBDDCSubSchursCreate(&sub_schurs));
    157:     PetscCall(PCBDDCSubSchursInit(sub_schurs, prefix, ipcis->is_I_local, ipcis->is_B_local, graph, ipcis->BtoNmap, PETSC_FALSE, PETSC_TRUE));
    158:     if (userdefined) PetscCall(PCBDDCComputeFakeChange(pcbddc, PETSC_FALSE, graph, NULL, &cmat, &cref, NULL, &flg));
    159:     else {
    160:       cmat = NULL;
    161:       cref = NULL;
    162:     }
    163:     PetscCall(PCBDDCSubSchursSetUp(sub_schurs, lA, lS, PETSC_TRUE, NULL, NULL, -1, NULL, PETSC_TRUE, reuse_solver, PETSC_FALSE, 0, NULL, NULL, cmat, cref));
    164:     PetscCall(MatDestroy(&lS));
    165:     PetscCall(MatDestroy(&cmat));
    166:     PetscCall(ISDestroy(&cref));
    167:     if (sub_schurs->reuse_solver) {
    168:       PetscCall(KSPSetPC(sksp[0], sub_schurs->reuse_solver->interior_solver));
    169:       PetscCall(PCDestroy(&sub_schurs->reuse_solver->interior_solver));
    170:       sub_schurs->reuse_solver = NULL;
    171:     }
    172:   }
    173:   PetscCall(PCBDDCComputeFakeChange(pcbddc, PETSC_TRUE, graph, sub_schurs, &cmat, &cref, &sGiM[0], NULL));
    174:   PetscCall(PCBDDCSubSchursDestroy(&sub_schurs));
    175:   ipcbddc->adaptive_threshold[1] = otol;
    176:   ipcbddc->dbg_flag              = odbg;
    177:   ipcbddc->adaptive_nmin         = ominmax[0];
    178:   ipcbddc->adaptive_nmax         = ominmax[1];

    180:   PetscCall(ISLocalToGlobalMappingApplyIS(l2g, cref, &sGi[0]));
    181:   PetscCall(ISDestroy(&cref));

    183:   PetscCall(MatSeqAIJGetArrayRead(cmat, &tdata));
    184:   PetscCall(MatGetRowIJ(cmat, 0, PETSC_FALSE, PETSC_FALSE, &ngct, &ia, &ja, &flg));
    185:   PetscCheck(flg, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Error in MatGetRowIJ");

    187:   PetscCall(PetscMalloc1(ngct + 1, &ccii));
    188:   PetscCall(PetscMalloc1(ia[ngct], &cridx));
    189:   PetscCall(PetscMalloc1(ia[ngct], &cdata));

    191:   PetscCall(PetscArraycpy(ccii, ia, ngct + 1));
    192:   PetscCall(PetscArraycpy(cdata, tdata, ia[ngct]));
    193:   PetscCall(ISGlobalToLocalMappingApply(ipcis->BtoNmap, IS_GTOLM_DROP, ia[ngct], ja, &i, cridx));
    194:   PetscCheck(i == ia[ngct], PETSC_COMM_SELF, PETSC_ERR_PLIB, "Error in G2L");

    196:   PetscCall(MatRestoreRowIJ(cmat, 0, PETSC_FALSE, PETSC_FALSE, &i, &ia, &ja, &flg));
    197:   PetscCall(MatSeqAIJRestoreArrayRead(cmat, &tdata));
    198:   PetscCall(MatDestroy(&cmat));

    200:   /* populate dense matrix */
    201:   PetscCall(ISGetLocalSize(sG[0], &ng));
    202:   PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, ng, ngct, NULL, &sGf[0]));
    203:   PetscCall(MatDenseGetArrayWrite(sGf[0], &data));
    204:   for (i = 0; i < ngct; i++)
    205:     for (j = ccii[i]; j < ccii[i + 1]; j++) data[ng * i + cridx[j]] = cdata[j];
    206:   PetscCall(MatDenseRestoreArrayWrite(sGf[0], &data));

    208:   PetscCall(PetscFree(cdata));
    209:   PetscCall(PetscFree(ccii));
    210:   PetscCall(PetscFree(cridx));
    211:   PetscCall(PCDestroy(&pcbddc));
    212:   PetscCall(MatDestroy(&A));
    213:   PetscFunctionReturn(PETSC_SUCCESS);
    214: }

    216: PetscErrorCode PCMGGDSWCreateCoarseSpace_Private(PC pc, PetscInt l, DM dm, KSP smooth, PetscInt Nc, Mat guess, Mat *cspace)
    217: {
    218:   KSP            *sksp;
    219:   Mat             A, *sA_IG, *sGf, preallocator;
    220:   IS              Gidx, GidxMult, cG;
    221:   IS             *sI, *sG, *sGi, *sGiM;
    222:   const PetscInt *cidx;
    223:   PetscInt        NG, ns, n, i, c, rbs, cbs[2];
    224:   PetscBool       flg;
    225:   MatType         ptype;

    227:   PetscFunctionBegin;
    228:   *cspace = NULL;
    229:   if (!l) PetscFunctionReturn(PETSC_SUCCESS);
    230:   if (pc->useAmat) {
    231:     PetscCall(KSPGetOperatorsSet(smooth, &flg, NULL));
    232:     PetscCheck(flg, PetscObjectComm((PetscObject)smooth), PETSC_ERR_ORDER, "Amat not set");
    233:     PetscCall(KSPGetOperators(smooth, &A, NULL));
    234:   } else {
    235:     PetscCall(KSPGetOperatorsSet(smooth, NULL, &flg));
    236:     PetscCheck(flg, PetscObjectComm((PetscObject)smooth), PETSC_ERR_ORDER, "Pmat not set");
    237:     PetscCall(KSPGetOperators(smooth, NULL, &A));
    238:   }

    240:   /* Setup (also setup smoother here) */
    241:   if (!pc->setupcalled) PetscCall(KSPSetFromOptions(smooth));
    242:   PetscCall(KSPSetUp(smooth));
    243:   PetscCall(KSPSetUpOnBlocks(smooth));
    244:   PetscCall(PCMGGDSWSetUp(pc, l, dm, smooth, Nc, A, &ns, &sA_IG, &sksp, &sI, &sG, &sGf, &sGi, &sGiM));

    246:   /* Number GDSW basis functions */
    247:   PetscCall(ISConcatenate(PetscObjectComm((PetscObject)A), ns, sGi, &Gidx));
    248:   PetscCall(ISConcatenate(PetscObjectComm((PetscObject)A), ns, sGiM, &GidxMult));
    249:   PetscCall(ISRenumber(Gidx, GidxMult, &NG, &cG));
    250:   PetscCall(ISDestroy(&Gidx));

    252:   /* Detect column block size */
    253:   PetscCall(ISGetMinMax(GidxMult, &cbs[0], &cbs[1]));
    254:   PetscCall(PetscGlobalMinMaxInt(PetscObjectComm((PetscObject)A), cbs, cbs));
    255:   PetscCall(ISDestroy(&GidxMult));

    257:   /* Construct global interpolation matrix */
    258:   PetscCall(MatGetLocalSize(A, NULL, &n));
    259:   PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &preallocator));
    260:   PetscCall(MatSetSizes(preallocator, n, PETSC_DECIDE, PETSC_DECIDE, NG));
    261:   PetscCall(MatSetType(preallocator, MATPREALLOCATOR));
    262:   PetscCall(MatSetUp(preallocator));
    263:   PetscCall(ISGetIndices(cG, &cidx));
    264:   for (i = 0, c = 0; i < ns; i++) {
    265:     const PetscInt *ri, *rg;
    266:     PetscInt        nri, nrg, ncg;

    268:     PetscCall(ISGetLocalSize(sI[i], &nri));
    269:     PetscCall(ISGetLocalSize(sG[i], &nrg));
    270:     PetscCall(ISGetIndices(sI[i], &ri));
    271:     PetscCall(ISGetIndices(sG[i], &rg));
    272:     PetscCall(MatGetSize(sGf[i], NULL, &ncg));
    273:     PetscCall(MatSetValues(preallocator, nri, ri, ncg, cidx + c, NULL, INSERT_VALUES));
    274:     PetscCall(MatSetValues(preallocator, nrg, rg, ncg, cidx + c, NULL, INSERT_VALUES));
    275:     PetscCall(ISRestoreIndices(sI[i], &ri));
    276:     PetscCall(ISRestoreIndices(sG[i], &rg));
    277:   }
    278:   PetscCall(MatAssemblyBegin(preallocator, MAT_FINAL_ASSEMBLY));
    279:   PetscCall(MatAssemblyEnd(preallocator, MAT_FINAL_ASSEMBLY));

    281:   ptype = MATAIJ;
    282:   if (PetscDefined(HAVE_DEVICE)) {
    283:     PetscCall(MatBoundToCPU(A, &flg));
    284:     if (!flg) {
    285:       VecType vtype;
    286:       char   *found = NULL;

    288:       PetscCall(MatGetVecType(A, &vtype));
    289:       PetscCall(PetscStrstr(vtype, "cuda", &found));
    290:       if (found) ptype = MATAIJCUSPARSE;
    291:     }
    292:   }
    293:   PetscCall(MatCreate(PetscObjectComm((PetscObject)A), cspace));
    294:   PetscCall(MatSetSizes(*cspace, n, PETSC_DECIDE, PETSC_DECIDE, NG));
    295:   PetscCall(MatSetType(*cspace, ptype));
    296:   PetscCall(MatGetBlockSizes(A, NULL, &rbs));
    297:   PetscCall(MatSetBlockSizes(*cspace, rbs, cbs[0] == cbs[1] ? cbs[0] : 1));
    298:   PetscCall(MatPreallocatorPreallocate(preallocator, PETSC_FALSE, *cspace));
    299:   PetscCall(MatDestroy(&preallocator));
    300:   PetscCall(MatSetOption(*cspace, MAT_ROW_ORIENTED, PETSC_FALSE));

    302:   for (i = 0, c = 0; i < ns; i++) {
    303:     Mat                X, Y;
    304:     const PetscScalar *v;
    305:     const PetscInt    *ri, *rg;
    306:     PetscInt           nri, nrg, ncg;

    308:     PetscCall(MatMatMult(sA_IG[i], sGf[i], MAT_INITIAL_MATRIX, PETSC_CURRENT, &Y));
    309:     PetscCall(MatScale(Y, -1.0));
    310:     PetscCall(MatDuplicate(Y, MAT_DO_NOT_COPY_VALUES, &X));
    311:     PetscCall(KSPMatSolve(sksp[i], Y, X));

    313:     PetscCall(ISGetLocalSize(sI[i], &nri));
    314:     PetscCall(ISGetLocalSize(sG[i], &nrg));
    315:     PetscCall(ISGetIndices(sI[i], &ri));
    316:     PetscCall(ISGetIndices(sG[i], &rg));
    317:     PetscCall(MatGetSize(sGf[i], NULL, &ncg));

    319:     PetscCall(MatDenseGetArrayRead(X, &v));
    320:     PetscCall(MatSetValues(*cspace, nri, ri, ncg, cidx + c, v, INSERT_VALUES));
    321:     PetscCall(MatDenseRestoreArrayRead(X, &v));
    322:     PetscCall(MatDenseGetArrayRead(sGf[i], &v));
    323:     PetscCall(MatSetValues(*cspace, nrg, rg, ncg, cidx + c, v, INSERT_VALUES));
    324:     PetscCall(MatDenseRestoreArrayRead(sGf[i], &v));
    325:     PetscCall(ISRestoreIndices(sI[i], &ri));
    326:     PetscCall(ISRestoreIndices(sG[i], &rg));
    327:     PetscCall(MatDestroy(&Y));
    328:     PetscCall(MatDestroy(&X));
    329:   }
    330:   PetscCall(ISRestoreIndices(cG, &cidx));
    331:   PetscCall(ISDestroy(&cG));
    332:   PetscCall(MatAssemblyBegin(*cspace, MAT_FINAL_ASSEMBLY));
    333:   PetscCall(MatAssemblyEnd(*cspace, MAT_FINAL_ASSEMBLY));

    335:   for (i = 0; i < ns; i++) {
    336:     PetscCall(KSPDestroy(&sksp[i]));
    337:     PetscCall(ISDestroy(&sI[i]));
    338:     PetscCall(ISDestroy(&sG[i]));
    339:     PetscCall(ISDestroy(&sGi[i]));
    340:     PetscCall(ISDestroy(&sGiM[i]));
    341:     PetscCall(MatDestroy(&sGf[i]));
    342:     PetscCall(MatDestroy(&sA_IG[i]));
    343:   }
    344:   PetscCall(PetscFree(sksp));
    345:   PetscCall(PetscFree(sI));
    346:   PetscCall(PetscFree(sG));
    347:   PetscCall(PetscFree(sGi));
    348:   PetscCall(PetscFree(sGiM));
    349:   PetscCall(PetscFree(sGf));
    350:   PetscCall(PetscFree(sA_IG));
    351:   PetscFunctionReturn(PETSC_SUCCESS);
    352: }