impls/asm/asm.c

/*
  This file defines an additive Schwarz preconditioner for any Mat implementation.

  Note that each processor may have any number of subdomains. But in order to
  deal easily with the VecScatter(), we treat each processor as if it has the
  same number of subdomains.

       n - total number of true subdomains on all processors
       n_local_true - actual number of subdomains on this processor
       n_local = maximum over all processors of n_local_true
*/

#include <petsc/private/pcasmimpl.h> /*I "petscpc.h" I*/
#include <petsc/private/matimpl.h>

static PetscErrorCode PCView_ASM(PC pc, PetscViewer viewer)
{
  PC_ASM           *osm = (PC_ASM *)pc->data;
  PetscMPIInt       rank;
  PetscInt          i, bsz;
  PetscBool         iascii, isstring;
  PetscViewer       sviewer;
  PetscViewerFormat format;
  const char       *prefix;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &iascii));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSTRING, &isstring));
  if (iascii) {
    char overlaps[256] = "user-defined overlap", blocks[256] = "total subdomain blocks not yet set";
    if (osm->overlap >= 0) PetscCall(PetscSNPrintf(overlaps, sizeof(overlaps), "amount of overlap = %" PetscInt_FMT, osm->overlap));
    if (osm->n > 0) PetscCall(PetscSNPrintf(blocks, sizeof(blocks), "total subdomain blocks = %" PetscInt_FMT, osm->n));
    PetscCall(PetscViewerASCIIPrintf(viewer, "  %s, %s\n", blocks, overlaps));
    PetscCall(PetscViewerASCIIPrintf(viewer, "  restriction/interpolation type - %s\n", PCASMTypes[osm->type]));
    if (osm->dm_subdomains) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: using DM to define subdomains\n"));
    if (osm->loctype != PC_COMPOSITE_ADDITIVE) PetscCall(PetscViewerASCIIPrintf(viewer, "  Additive Schwarz: local solve composition type - %s\n", PCCompositeTypes[osm->loctype]));
    PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
    PetscCall(PetscViewerGetFormat(viewer, &format));
    if (format != PETSC_VIEWER_ASCII_INFO_DETAIL) {
      if (osm->ksp) {
        PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for first block is in the following KSP and PC objects on rank 0:\n"));
        PetscCall(PCGetOptionsPrefix(pc, &prefix));
        PetscCall(PetscViewerASCIIPrintf(viewer, "  Use -%sksp_view ::ascii_info_detail to display information for all blocks\n", prefix ? prefix : ""));
        PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
        if (rank == 0) {
          PetscCall(PetscViewerASCIIPushTab(sviewer));
          PetscCall(KSPView(osm->ksp[0], sviewer));
          PetscCall(PetscViewerASCIIPopTab(sviewer));
        }
        PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
      }
    } else {
      PetscCall(PetscViewerASCIIPushSynchronized(viewer));
      PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "  [%d] number of local blocks = %" PetscInt_FMT "\n", (int)rank, osm->n_local_true));
      PetscCall(PetscViewerFlush(viewer));
      PetscCall(PetscViewerASCIIPrintf(viewer, "  Local solver information for each block is in the following KSP and PC objects:\n"));
      PetscCall(PetscViewerASCIIPushTab(viewer));
      PetscCall(PetscViewerASCIIPrintf(viewer, "- - - - - - - - - - - - - - - - - -\n"));
      PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
      for (i = 0; i < osm->n_local_true; i++) {
        PetscCall(ISGetLocalSize(osm->is[i], &bsz));
        PetscCall(PetscViewerASCIIPrintf(sviewer, "[%d] local block number %" PetscInt_FMT ", size = %" PetscInt_FMT "\n", (int)rank, i, bsz));
        PetscCall(KSPView(osm->ksp[i], sviewer));
        PetscCall(PetscViewerASCIIPrintf(sviewer, "- - - - - - - - - - - - - - - - - -\n"));
      }
      PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
      PetscCall(PetscViewerASCIIPopTab(viewer));
      PetscCall(PetscViewerASCIIPopSynchronized(viewer));
    }
  } else if (isstring) {
    PetscCall(PetscViewerStringSPrintf(viewer, " blocks=%" PetscInt_FMT ", overlap=%" PetscInt_FMT ", type=%s", osm->n, osm->overlap, PCASMTypes[osm->type]));
    PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
    if (osm->ksp) PetscCall(KSPView(osm->ksp[0], sviewer));
    PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMPrintSubdomains(PC pc)
{
  PC_ASM         *osm = (PC_ASM *)pc->data;
  const char     *prefix;
  char            fname[PETSC_MAX_PATH_LEN + 1];
  PetscViewer     viewer, sviewer;
  char           *s;
  PetscInt        i, j, nidx;
  const PetscInt *idx;
  PetscMPIInt     rank, size;

  PetscFunctionBegin;
  PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
  PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
  PetscCall(PCGetOptionsPrefix(pc, &prefix));
  PetscCall(PetscOptionsGetString(NULL, prefix, "-pc_asm_print_subdomains", fname, sizeof(fname), NULL));
  if (fname[0] == 0) PetscCall(PetscStrncpy(fname, "stdout", sizeof(fname)));
  PetscCall(PetscViewerASCIIOpen(PetscObjectComm((PetscObject)pc), fname, &viewer));
  for (i = 0; i < osm->n_local; i++) {
    if (i < osm->n_local_true) {
      PetscCall(ISGetLocalSize(osm->is[i], &nidx));
      PetscCall(ISGetIndices(osm->is[i], &idx));
      /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
#define len 16 * (nidx + 1) + 512
      PetscCall(PetscMalloc1(len, &s));
      PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
#undef len
      PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " with overlap:\n", rank, size, i));
      for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
      PetscCall(ISRestoreIndices(osm->is[i], &idx));
      PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
      PetscCall(PetscViewerDestroy(&sviewer));
      PetscCall(PetscViewerASCIIPushSynchronized(viewer));
      PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
      PetscCall(PetscViewerFlush(viewer));
      PetscCall(PetscViewerASCIIPopSynchronized(viewer));
      PetscCall(PetscFree(s));
      if (osm->is_local) {
        /* Print to a string viewer; no more than 15 characters per index plus 512 char for the header.*/
#define len 16 * (nidx + 1) + 512
        PetscCall(PetscMalloc1(len, &s));
        PetscCall(PetscViewerStringOpen(PETSC_COMM_SELF, s, len, &sviewer));
#undef len
        PetscCall(PetscViewerStringSPrintf(sviewer, "[%d:%d] Subdomain %" PetscInt_FMT " without overlap:\n", rank, size, i));
        PetscCall(ISGetLocalSize(osm->is_local[i], &nidx));
        PetscCall(ISGetIndices(osm->is_local[i], &idx));
        for (j = 0; j < nidx; j++) PetscCall(PetscViewerStringSPrintf(sviewer, "%" PetscInt_FMT " ", idx[j]));
        PetscCall(ISRestoreIndices(osm->is_local[i], &idx));
        PetscCall(PetscViewerStringSPrintf(sviewer, "\n"));
        PetscCall(PetscViewerDestroy(&sviewer));
        PetscCall(PetscViewerASCIIPushSynchronized(viewer));
        PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "%s", s));
        PetscCall(PetscViewerFlush(viewer));
        PetscCall(PetscViewerASCIIPopSynchronized(viewer));
        PetscCall(PetscFree(s));
      }
    } else {
      /* Participate in collective viewer calls. */
      PetscCall(PetscViewerASCIIPushSynchronized(viewer));
      PetscCall(PetscViewerFlush(viewer));
      PetscCall(PetscViewerASCIIPopSynchronized(viewer));
      /* Assume either all ranks have is_local or none do. */
      if (osm->is_local) {
        PetscCall(PetscViewerASCIIPushSynchronized(viewer));
        PetscCall(PetscViewerFlush(viewer));
        PetscCall(PetscViewerASCIIPopSynchronized(viewer));
      }
    }
  }
  PetscCall(PetscViewerFlush(viewer));
  PetscCall(PetscViewerDestroy(&viewer));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCSetUp_ASM(PC pc)
{
  PC_ASM       *osm = (PC_ASM *)pc->data;
  PetscBool     flg;
  PetscInt      i, m, m_local;
  MatReuse      scall = MAT_REUSE_MATRIX;
  IS            isl;
  KSP           ksp;
  PC            subpc;
  const char   *prefix, *pprefix;
  Vec           vec;
  DM           *domain_dm = NULL;
  MatNullSpace *nullsp    = NULL;

  PetscFunctionBegin;
  if (!pc->setupcalled) {
    PetscInt m;

    /* Note: if subdomains have been set either via PCASMSetTotalSubdomains() or via PCASMSetLocalSubdomains(), osm->n_local_true will not be PETSC_DECIDE */
    if (osm->n_local_true == PETSC_DECIDE) {
      /* no subdomains given */
      /* try pc->dm first, if allowed */
      if (osm->dm_subdomains && pc->dm) {
        PetscInt num_domains, d;
        char   **domain_names;
        IS      *inner_domain_is, *outer_domain_is;
        PetscCall(DMCreateDomainDecomposition(pc->dm, &num_domains, &domain_names, &inner_domain_is, &outer_domain_is, &domain_dm));
        osm->overlap = -1; /* We do not want to increase the overlap of the IS.
                              A future improvement of this code might allow one to use
                              DM-defined subdomains and also increase the overlap,
                              but that is not currently supported */
        if (num_domains) PetscCall(PCASMSetLocalSubdomains(pc, num_domains, outer_domain_is, inner_domain_is));
        for (d = 0; d < num_domains; ++d) {
          if (domain_names) PetscCall(PetscFree(domain_names[d]));
          if (inner_domain_is) PetscCall(ISDestroy(&inner_domain_is[d]));
          if (outer_domain_is) PetscCall(ISDestroy(&outer_domain_is[d]));
        }
        PetscCall(PetscFree(domain_names));
        PetscCall(PetscFree(inner_domain_is));
        PetscCall(PetscFree(outer_domain_is));
      }
      if (osm->n_local_true == PETSC_DECIDE) {
        /* still no subdomains; use one subdomain per processor */
        osm->n_local_true = 1;
      }
    }
    { /* determine the global and max number of subdomains */
      struct {
        PetscInt max, sum;
      } inwork, outwork;
      PetscMPIInt size;

      inwork.max = osm->n_local_true;
      inwork.sum = osm->n_local_true;
      PetscCall(MPIU_Allreduce(&inwork, &outwork, 1, MPIU_2INT, MPIU_MAXSUM_OP, PetscObjectComm((PetscObject)pc)));
      osm->n_local = outwork.max;
      osm->n       = outwork.sum;

      PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
      if (outwork.max == 1 && outwork.sum == size) {
        /* osm->n_local_true = 1 on all processes, set this option may enable use of optimized MatCreateSubMatrices() implementation */
        PetscCall(MatSetOption(pc->pmat, MAT_SUBMAT_SINGLEIS, PETSC_TRUE));
      }
    }
    if (!osm->is) { /* create the index sets */
      PetscCall(PCASMCreateSubdomains(pc->pmat, osm->n_local_true, &osm->is));
    }
    if (osm->n_local_true > 1 && !osm->is_local) {
      PetscCall(PetscMalloc1(osm->n_local_true, &osm->is_local));
      for (i = 0; i < osm->n_local_true; i++) {
        if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
          PetscCall(ISDuplicate(osm->is[i], &osm->is_local[i]));
          PetscCall(ISCopy(osm->is[i], osm->is_local[i]));
        } else {
          PetscCall(PetscObjectReference((PetscObject)osm->is[i]));
          osm->is_local[i] = osm->is[i];
        }
      }
    }
    PetscCall(PCGetOptionsPrefix(pc, &prefix));
    if (osm->overlap > 0) {
      /* Extend the "overlapping" regions by a number of steps */
      PetscCall(MatIncreaseOverlap(pc->pmat, osm->n_local_true, osm->is, osm->overlap));
    }
    if (osm->sort_indices) {
      for (i = 0; i < osm->n_local_true; i++) {
        PetscCall(ISSort(osm->is[i]));
        if (osm->is_local) PetscCall(ISSort(osm->is_local[i]));
      }
    }
    flg = PETSC_FALSE;
    PetscCall(PetscOptionsHasName(NULL, prefix, "-pc_asm_print_subdomains", &flg));
    if (flg) PetscCall(PCASMPrintSubdomains(pc));
    if (!osm->ksp) {
      /* Create the local solvers */
      PetscCall(PetscMalloc1(osm->n_local_true, &osm->ksp));
      if (domain_dm) PetscCall(PetscInfo(pc, "Setting up ASM subproblems using the embedded DM\n"));
      for (i = 0; i < osm->n_local_true; i++) {
        PetscCall(KSPCreate(PETSC_COMM_SELF, &ksp));
        PetscCall(KSPSetNestLevel(ksp, pc->kspnestlevel));
        PetscCall(KSPSetErrorIfNotConverged(ksp, pc->erroriffailure));
        PetscCall(PetscObjectIncrementTabLevel((PetscObject)ksp, (PetscObject)pc, 1));
        PetscCall(KSPSetType(ksp, KSPPREONLY));
        PetscCall(KSPGetPC(ksp, &subpc));
        PetscCall(PCGetOptionsPrefix(pc, &prefix));
        PetscCall(KSPSetOptionsPrefix(ksp, prefix));
        PetscCall(KSPAppendOptionsPrefix(ksp, "sub_"));
        if (domain_dm) {
          PetscCall(KSPSetDM(ksp, domain_dm[i]));
          PetscCall(KSPSetDMActive(ksp, PETSC_FALSE));
          PetscCall(DMDestroy(&domain_dm[i]));
        }
        osm->ksp[i] = ksp;
      }
      if (domain_dm) PetscCall(PetscFree(domain_dm));
    }

    PetscCall(ISConcatenate(PETSC_COMM_SELF, osm->n_local_true, osm->is, &osm->lis));
    PetscCall(ISSortRemoveDups(osm->lis));
    PetscCall(ISGetLocalSize(osm->lis, &m));

    scall = MAT_INITIAL_MATRIX;
  } else {
    /*
       Destroy the blocks from the previous iteration
    */
    if (pc->flag == DIFFERENT_NONZERO_PATTERN) {
      PetscCall(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
      PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->pmat));
      scall = MAT_INITIAL_MATRIX;
    }
  }

  /* Destroy previous submatrices of a different type than pc->pmat since MAT_REUSE_MATRIX won't work in that case */
  if (scall == MAT_REUSE_MATRIX && osm->sub_mat_type) {
    PetscCall(MatGetNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
    if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
    scall = MAT_INITIAL_MATRIX;
  }

  /*
     Extract out the submatrices
  */
  PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, osm->is, scall, &osm->pmat));
  if (scall == MAT_INITIAL_MATRIX) {
    PetscCall(PetscObjectGetOptionsPrefix((PetscObject)pc->pmat, &pprefix));
    for (i = 0; i < osm->n_local_true; i++) PetscCall(PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i], pprefix));
    if (nullsp) PetscCall(MatRestoreNullSpaces(osm->n_local_true, osm->pmat, &nullsp));
  }

  /* Convert the types of the submatrices (if needbe) */
  if (osm->sub_mat_type) {
    for (i = 0; i < osm->n_local_true; i++) PetscCall(MatConvert(osm->pmat[i], osm->sub_mat_type, MAT_INPLACE_MATRIX, &osm->pmat[i]));
  }

  if (!pc->setupcalled) {
    VecType vtype;

    /* Create the local work vectors (from the local matrices) and scatter contexts */
    PetscCall(MatCreateVecs(pc->pmat, &vec, NULL));

    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");
    if (osm->is_local && osm->type != PC_ASM_BASIC && osm->loctype == PC_COMPOSITE_ADDITIVE) PetscCall(PetscMalloc1(osm->n_local_true, &osm->lprolongation));
    PetscCall(PetscMalloc1(osm->n_local_true, &osm->lrestriction));
    PetscCall(PetscMalloc1(osm->n_local_true, &osm->x));
    PetscCall(PetscMalloc1(osm->n_local_true, &osm->y));

    PetscCall(ISGetLocalSize(osm->lis, &m));
    PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
    PetscCall(MatGetVecType(osm->pmat[0], &vtype));
    PetscCall(VecCreate(PETSC_COMM_SELF, &osm->lx));
    PetscCall(VecSetSizes(osm->lx, m, m));
    PetscCall(VecSetType(osm->lx, vtype));
    PetscCall(VecDuplicate(osm->lx, &osm->ly));
    PetscCall(VecScatterCreate(vec, osm->lis, osm->lx, isl, &osm->restriction));
    PetscCall(ISDestroy(&isl));

    for (i = 0; i < osm->n_local_true; ++i) {
      ISLocalToGlobalMapping ltog;
      IS                     isll;
      const PetscInt        *idx_is;
      PetscInt              *idx_lis, nout;

      PetscCall(ISGetLocalSize(osm->is[i], &m));
      PetscCall(MatCreateVecs(osm->pmat[i], &osm->x[i], NULL));
      PetscCall(VecDuplicate(osm->x[i], &osm->y[i]));

      /* generate a scatter from ly to y[i] picking all the overlapping is[i] entries */
      PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
      PetscCall(ISGetLocalSize(osm->is[i], &m));
      PetscCall(ISGetIndices(osm->is[i], &idx_is));
      PetscCall(PetscMalloc1(m, &idx_lis));
      PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m, idx_is, &nout, idx_lis));
      PetscCheck(nout == m, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is not a subset of lis");
      PetscCall(ISRestoreIndices(osm->is[i], &idx_is));
      PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m, idx_lis, PETSC_OWN_POINTER, &isll));
      PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
      PetscCall(ISCreateStride(PETSC_COMM_SELF, m, 0, 1, &isl));
      PetscCall(VecScatterCreate(osm->ly, isll, osm->y[i], isl, &osm->lrestriction[i]));
      PetscCall(ISDestroy(&isll));
      PetscCall(ISDestroy(&isl));
      if (osm->lprolongation) { /* generate a scatter from y[i] to ly picking only the non-overlapping is_local[i] entries */
        ISLocalToGlobalMapping ltog;
        IS                     isll, isll_local;
        const PetscInt        *idx_local;
        PetscInt              *idx1, *idx2, nout;

        PetscCall(ISGetLocalSize(osm->is_local[i], &m_local));
        PetscCall(ISGetIndices(osm->is_local[i], &idx_local));

        PetscCall(ISLocalToGlobalMappingCreateIS(osm->is[i], &ltog));
        PetscCall(PetscMalloc1(m_local, &idx1));
        PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx1));
        PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
        PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of is");
        PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx1, PETSC_OWN_POINTER, &isll));

        PetscCall(ISLocalToGlobalMappingCreateIS(osm->lis, &ltog));
        PetscCall(PetscMalloc1(m_local, &idx2));
        PetscCall(ISGlobalToLocalMappingApply(ltog, IS_GTOLM_DROP, m_local, idx_local, &nout, idx2));
        PetscCall(ISLocalToGlobalMappingDestroy(&ltog));
        PetscCheck(nout == m_local, PETSC_COMM_SELF, PETSC_ERR_PLIB, "is_local not a subset of lis");
        PetscCall(ISCreateGeneral(PETSC_COMM_SELF, m_local, idx2, PETSC_OWN_POINTER, &isll_local));

        PetscCall(ISRestoreIndices(osm->is_local[i], &idx_local));
        PetscCall(VecScatterCreate(osm->y[i], isll, osm->ly, isll_local, &osm->lprolongation[i]));

        PetscCall(ISDestroy(&isll));
        PetscCall(ISDestroy(&isll_local));
      }
    }
    PetscCall(VecDestroy(&vec));
  }

  if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
    IS      *cis;
    PetscInt c;

    PetscCall(PetscMalloc1(osm->n_local_true, &cis));
    for (c = 0; c < osm->n_local_true; ++c) cis[c] = osm->lis;
    PetscCall(MatCreateSubMatrices(pc->pmat, osm->n_local_true, osm->is, cis, scall, &osm->lmats));
    PetscCall(PetscFree(cis));
  }

  /* Return control to the user so that the submatrices can be modified (e.g., to apply
     different boundary conditions for the submatrices than for the global problem) */
  PetscCall(PCModifySubMatrices(pc, osm->n_local_true, osm->is, osm->is, osm->pmat, pc->modifysubmatricesP));

  /*
     Loop over subdomains putting them into local ksp
  */
  PetscCall(KSPGetOptionsPrefix(osm->ksp[0], &prefix));
  for (i = 0; i < osm->n_local_true; i++) {
    PetscCall(KSPSetOperators(osm->ksp[i], osm->pmat[i], osm->pmat[i]));
    PetscCall(MatSetOptionsPrefix(osm->pmat[i], prefix));
    if (!pc->setupcalled) PetscCall(KSPSetFromOptions(osm->ksp[i]));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc)
{
  PC_ASM            *osm = (PC_ASM *)pc->data;
  PetscInt           i;
  KSPConvergedReason reason;

  PetscFunctionBegin;
  for (i = 0; i < osm->n_local_true; i++) {
    PetscCall(KSPSetUp(osm->ksp[i]));
    PetscCall(KSPGetConvergedReason(osm->ksp[i], &reason));
    if (reason == KSP_DIVERGED_PC_FAILED) pc->failedreason = PC_SUBPC_ERROR;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCApply_ASM(PC pc, Vec x, Vec y)
{
  PC_ASM     *osm = (PC_ASM *)pc->data;
  PetscInt    i, n_local_true = osm->n_local_true;
  ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;

  PetscFunctionBegin;
  /*
     support for limiting the restriction or interpolation to only local
     subdomain values (leaving the other values 0).
  */
  if (!(osm->type & PC_ASM_RESTRICT)) {
    forward = SCATTER_FORWARD_LOCAL;
    /* have to zero the work RHS since scatter may leave some slots empty */
    PetscCall(VecSet(osm->lx, 0.0));
  }
  if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;

  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]);
  /* zero the global and the local solutions */
  PetscCall(VecSet(y, 0.0));
  PetscCall(VecSet(osm->ly, 0.0));

  /* copy the global RHS to local RHS including the ghost nodes */
  PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
  PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));

  /* restrict local RHS to the overlapping 0-block RHS */
  PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
  PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));

  /* do the local solves */
  for (i = 0; i < n_local_true; ++i) {
    /* solve the overlapping i-block */
    PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
    PetscCall(KSPSolve(osm->ksp[i], osm->x[i], osm->y[i]));
    PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
    PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));

    if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping i-block solution to the local solution (only for restrictive additive) */
      PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
      PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
    } else { /* interpolate the overlapping i-block solution to the local solution */
      PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
      PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
    }

    if (i < n_local_true - 1) {
      /* restrict local RHS to the overlapping (i+1)-block RHS */
      PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
      PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));

      if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) {
        /* update the overlapping (i+1)-block RHS using the current local solution */
        PetscCall(MatMult(osm->lmats[i + 1], osm->ly, osm->y[i + 1]));
        PetscCall(VecAXPBY(osm->x[i + 1], -1., 1., osm->y[i + 1]));
      }
    }
  }
  /* add the local solution to the global solution including the ghost nodes */
  PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
  PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCMatApply_ASM(PC pc, Mat X, Mat Y)
{
  PC_ASM     *osm = (PC_ASM *)pc->data;
  Mat         Z, W;
  Vec         x;
  PetscInt    i, m, N;
  ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;

  PetscFunctionBegin;
  PetscCheck(osm->n_local_true <= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Not yet implemented");
  /*
     support for limiting the restriction or interpolation to only local
     subdomain values (leaving the other values 0).
  */
  if (!(osm->type & PC_ASM_RESTRICT)) {
    forward = SCATTER_FORWARD_LOCAL;
    /* have to zero the work RHS since scatter may leave some slots empty */
    PetscCall(VecSet(osm->lx, 0.0));
  }
  if (!(osm->type & PC_ASM_INTERPOLATE)) reverse = SCATTER_REVERSE_LOCAL;
  PetscCall(VecGetLocalSize(osm->x[0], &m));
  PetscCall(MatGetSize(X, NULL, &N));
  PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &Z));

  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]);
  /* zero the global and the local solutions */
  PetscCall(MatZeroEntries(Y));
  PetscCall(VecSet(osm->ly, 0.0));

  for (i = 0; i < N; ++i) {
    PetscCall(MatDenseGetColumnVecRead(X, i, &x));
    /* copy the global RHS to local RHS including the ghost nodes */
    PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
    PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
    PetscCall(MatDenseRestoreColumnVecRead(X, i, &x));

    PetscCall(MatDenseGetColumnVecWrite(Z, i, &x));
    /* restrict local RHS to the overlapping 0-block RHS */
    PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
    PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, x, INSERT_VALUES, forward));
    PetscCall(MatDenseRestoreColumnVecWrite(Z, i, &x));
  }
  PetscCall(MatCreateSeqDense(PETSC_COMM_SELF, m, N, NULL, &W));
  /* solve the overlapping 0-block */
  PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
  PetscCall(KSPMatSolve(osm->ksp[0], Z, W));
  PetscCall(KSPCheckSolve(osm->ksp[0], pc, NULL));
  PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[0], Z, W, 0));
  PetscCall(MatDestroy(&Z));

  for (i = 0; i < N; ++i) {
    PetscCall(VecSet(osm->ly, 0.0));
    PetscCall(MatDenseGetColumnVecRead(W, i, &x));
    if (osm->lprolongation && osm->type != PC_ASM_INTERPOLATE) { /* interpolate the non-overlapping 0-block solution to the local solution (only for restrictive additive) */
      PetscCall(VecScatterBegin(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
      PetscCall(VecScatterEnd(osm->lprolongation[0], x, osm->ly, ADD_VALUES, forward));
    } else { /* interpolate the overlapping 0-block solution to the local solution */
      PetscCall(VecScatterBegin(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
      PetscCall(VecScatterEnd(osm->lrestriction[0], x, osm->ly, ADD_VALUES, reverse));
    }
    PetscCall(MatDenseRestoreColumnVecRead(W, i, &x));

    PetscCall(MatDenseGetColumnVecWrite(Y, i, &x));
    /* add the local solution to the global solution including the ghost nodes */
    PetscCall(VecScatterBegin(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
    PetscCall(VecScatterEnd(osm->restriction, osm->ly, x, ADD_VALUES, reverse));
    PetscCall(MatDenseRestoreColumnVecWrite(Y, i, &x));
  }
  PetscCall(MatDestroy(&W));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCApplyTranspose_ASM(PC pc, Vec x, Vec y)
{
  PC_ASM     *osm = (PC_ASM *)pc->data;
  PetscInt    i, n_local_true = osm->n_local_true;
  ScatterMode forward = SCATTER_FORWARD, reverse = SCATTER_REVERSE;

  PetscFunctionBegin;
  /*
     Support for limiting the restriction or interpolation to only local
     subdomain values (leaving the other values 0).

     Note: these are reversed from the PCApply_ASM() because we are applying the
     transpose of the three terms
  */

  if (!(osm->type & PC_ASM_INTERPOLATE)) {
    forward = SCATTER_FORWARD_LOCAL;
    /* have to zero the work RHS since scatter may leave some slots empty */
    PetscCall(VecSet(osm->lx, 0.0));
  }
  if (!(osm->type & PC_ASM_RESTRICT)) reverse = SCATTER_REVERSE_LOCAL;

  /* zero the global and the local solutions */
  PetscCall(VecSet(y, 0.0));
  PetscCall(VecSet(osm->ly, 0.0));

  /* Copy the global RHS to local RHS including the ghost nodes */
  PetscCall(VecScatterBegin(osm->restriction, x, osm->lx, INSERT_VALUES, forward));
  PetscCall(VecScatterEnd(osm->restriction, x, osm->lx, INSERT_VALUES, forward));

  /* Restrict local RHS to the overlapping 0-block RHS */
  PetscCall(VecScatterBegin(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));
  PetscCall(VecScatterEnd(osm->lrestriction[0], osm->lx, osm->x[0], INSERT_VALUES, forward));

  /* do the local solves */
  for (i = 0; i < n_local_true; ++i) {
    /* solve the overlapping i-block */
    PetscCall(PetscLogEventBegin(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));
    PetscCall(KSPSolveTranspose(osm->ksp[i], osm->x[i], osm->y[i]));
    PetscCall(KSPCheckSolve(osm->ksp[i], pc, osm->y[i]));
    PetscCall(PetscLogEventEnd(PC_ApplyOnBlocks, osm->ksp[i], osm->x[i], osm->y[i], 0));

    if (osm->lprolongation && osm->type != PC_ASM_RESTRICT) { /* interpolate the non-overlapping i-block solution to the local solution */
      PetscCall(VecScatterBegin(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
      PetscCall(VecScatterEnd(osm->lprolongation[i], osm->y[i], osm->ly, ADD_VALUES, forward));
    } else { /* interpolate the overlapping i-block solution to the local solution */
      PetscCall(VecScatterBegin(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
      PetscCall(VecScatterEnd(osm->lrestriction[i], osm->y[i], osm->ly, ADD_VALUES, reverse));
    }

    if (i < n_local_true - 1) {
      /* Restrict local RHS to the overlapping (i+1)-block RHS */
      PetscCall(VecScatterBegin(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
      PetscCall(VecScatterEnd(osm->lrestriction[i + 1], osm->lx, osm->x[i + 1], INSERT_VALUES, forward));
    }
  }
  /* Add the local solution to the global solution including the ghost nodes */
  PetscCall(VecScatterBegin(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
  PetscCall(VecScatterEnd(osm->restriction, osm->ly, y, ADD_VALUES, reverse));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCReset_ASM(PC pc)
{
  PC_ASM  *osm = (PC_ASM *)pc->data;
  PetscInt i;

  PetscFunctionBegin;
  if (osm->ksp) {
    for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPReset(osm->ksp[i]));
  }
  if (osm->pmat) {
    if (osm->n_local_true > 0) PetscCall(MatDestroySubMatrices(osm->n_local_true, &osm->pmat));
  }
  if (osm->lrestriction) {
    PetscCall(VecScatterDestroy(&osm->restriction));
    for (i = 0; i < osm->n_local_true; i++) {
      PetscCall(VecScatterDestroy(&osm->lrestriction[i]));
      if (osm->lprolongation) PetscCall(VecScatterDestroy(&osm->lprolongation[i]));
      PetscCall(VecDestroy(&osm->x[i]));
      PetscCall(VecDestroy(&osm->y[i]));
    }
    PetscCall(PetscFree(osm->lrestriction));
    if (osm->lprolongation) PetscCall(PetscFree(osm->lprolongation));
    PetscCall(PetscFree(osm->x));
    PetscCall(PetscFree(osm->y));
  }
  PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));
  PetscCall(ISDestroy(&osm->lis));
  PetscCall(VecDestroy(&osm->lx));
  PetscCall(VecDestroy(&osm->ly));
  if (osm->loctype == PC_COMPOSITE_MULTIPLICATIVE) PetscCall(MatDestroyMatrices(osm->n_local_true, &osm->lmats));

  PetscCall(PetscFree(osm->sub_mat_type));

  osm->is       = NULL;
  osm->is_local = NULL;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCDestroy_ASM(PC pc)
{
  PC_ASM  *osm = (PC_ASM *)pc->data;
  PetscInt i;

  PetscFunctionBegin;
  PetscCall(PCReset_ASM(pc));
  if (osm->ksp) {
    for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i]));
    PetscCall(PetscFree(osm->ksp));
  }
  PetscCall(PetscFree(pc->data));

  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", NULL));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCSetFromOptions_ASM(PC pc, PetscOptionItems *PetscOptionsObject)
{
  PC_ASM         *osm = (PC_ASM *)pc->data;
  PetscInt        blocks, ovl;
  PetscBool       flg;
  PCASMType       asmtype;
  PCCompositeType loctype;
  char            sub_mat_type[256];

  PetscFunctionBegin;
  PetscOptionsHeadBegin(PetscOptionsObject, "Additive Schwarz options");
  PetscCall(PetscOptionsBool("-pc_asm_dm_subdomains", "Use DMCreateDomainDecomposition() to define subdomains", "PCASMSetDMSubdomains", osm->dm_subdomains, &osm->dm_subdomains, &flg));
  PetscCall(PetscOptionsInt("-pc_asm_blocks", "Number of subdomains", "PCASMSetTotalSubdomains", osm->n, &blocks, &flg));
  if (flg) {
    PetscCall(PCASMSetTotalSubdomains(pc, blocks, NULL, NULL));
    osm->dm_subdomains = PETSC_FALSE;
  }
  PetscCall(PetscOptionsInt("-pc_asm_local_blocks", "Number of local subdomains", "PCASMSetLocalSubdomains", osm->n_local_true, &blocks, &flg));
  if (flg) {
    PetscCall(PCASMSetLocalSubdomains(pc, blocks, NULL, NULL));
    osm->dm_subdomains = PETSC_FALSE;
  }
  PetscCall(PetscOptionsInt("-pc_asm_overlap", "Number of grid points overlap", "PCASMSetOverlap", osm->overlap, &ovl, &flg));
  if (flg) {
    PetscCall(PCASMSetOverlap(pc, ovl));
    osm->dm_subdomains = PETSC_FALSE;
  }
  flg = PETSC_FALSE;
  PetscCall(PetscOptionsEnum("-pc_asm_type", "Type of restriction/extension", "PCASMSetType", PCASMTypes, (PetscEnum)osm->type, (PetscEnum *)&asmtype, &flg));
  if (flg) PetscCall(PCASMSetType(pc, asmtype));
  flg = PETSC_FALSE;
  PetscCall(PetscOptionsEnum("-pc_asm_local_type", "Type of local solver composition", "PCASMSetLocalType", PCCompositeTypes, (PetscEnum)osm->loctype, (PetscEnum *)&loctype, &flg));
  if (flg) PetscCall(PCASMSetLocalType(pc, loctype));
  PetscCall(PetscOptionsFList("-pc_asm_sub_mat_type", "Subsolve Matrix Type", "PCASMSetSubMatType", MatList, NULL, sub_mat_type, 256, &flg));
  if (flg) PetscCall(PCASMSetSubMatType(pc, sub_mat_type));
  PetscOptionsHeadEnd();
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetLocalSubdomains_ASM(PC pc, PetscInt n, IS is[], IS is_local[])
{
  PC_ASM  *osm = (PC_ASM *)pc->data;
  PetscInt i;

  PetscFunctionBegin;
  PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Each process must have 1 or more blocks, n = %" PetscInt_FMT, n);
  PetscCheck(!pc->setupcalled || (n == osm->n_local_true && !is), PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetLocalSubdomains() should be called before calling PCSetUp().");

  if (!pc->setupcalled) {
    if (is) {
      for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is[i]));
    }
    if (is_local) {
      for (i = 0; i < n; i++) PetscCall(PetscObjectReference((PetscObject)is_local[i]));
    }
    PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));

    if (osm->ksp && osm->n_local_true != n) {
      for (i = 0; i < osm->n_local_true; i++) PetscCall(KSPDestroy(&osm->ksp[i]));
      PetscCall(PetscFree(osm->ksp));
    }

    osm->n_local_true = n;
    osm->is           = NULL;
    osm->is_local     = NULL;
    if (is) {
      PetscCall(PetscMalloc1(n, &osm->is));
      for (i = 0; i < n; i++) osm->is[i] = is[i];
      /* Flag indicating that the user has set overlapping subdomains so PCASM should not increase their size. */
      osm->overlap = -1;
    }
    if (is_local) {
      PetscCall(PetscMalloc1(n, &osm->is_local));
      for (i = 0; i < n; i++) osm->is_local[i] = is_local[i];
      if (!is) {
        PetscCall(PetscMalloc1(osm->n_local_true, &osm->is));
        for (i = 0; i < osm->n_local_true; i++) {
          if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */
            PetscCall(ISDuplicate(osm->is_local[i], &osm->is[i]));
            PetscCall(ISCopy(osm->is_local[i], osm->is[i]));
          } else {
            PetscCall(PetscObjectReference((PetscObject)osm->is_local[i]));
            osm->is[i] = osm->is_local[i];
          }
        }
      }
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetTotalSubdomains_ASM(PC pc, PetscInt N, IS *is, IS *is_local)
{
  PC_ASM     *osm = (PC_ASM *)pc->data;
  PetscMPIInt rank, size;
  PetscInt    n;

  PetscFunctionBegin;
  PetscCheck(N >= 1, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Number of total blocks must be > 0, N = %" PetscInt_FMT, N);
  PetscCheck(!is && !is_local, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Use PCASMSetLocalSubdomains() to set specific index sets, they cannot be set globally yet.");

  /*
     Split the subdomains equally among all processors
  */
  PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)pc), &rank));
  PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)pc), &size));
  n = N / size + ((N % size) > rank);
  PetscCheck(n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Process %d must have at least one block: total processors %d total blocks %" PetscInt_FMT, (int)rank, (int)size, N);
  PetscCheck(!pc->setupcalled || n == osm->n_local_true, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "PCASMSetTotalSubdomains() should be called before PCSetUp().");
  if (!pc->setupcalled) {
    PetscCall(PCASMDestroySubdomains(osm->n_local_true, osm->is, osm->is_local));

    osm->n_local_true = n;
    osm->is           = NULL;
    osm->is_local     = NULL;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetOverlap_ASM(PC pc, PetscInt ovl)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  PetscCheck(ovl >= 0, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_OUTOFRANGE, "Negative overlap value requested");
  PetscCheck(!pc->setupcalled || ovl == osm->overlap, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "PCASMSetOverlap() should be called before PCSetUp().");
  if (!pc->setupcalled) osm->overlap = ovl;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetType_ASM(PC pc, PCASMType type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  osm->type     = type;
  osm->type_set = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMGetType_ASM(PC pc, PCASMType *type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  *type = osm->type;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetLocalType_ASM(PC pc, PCCompositeType type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  PetscCheck(type == PC_COMPOSITE_ADDITIVE || type == PC_COMPOSITE_MULTIPLICATIVE, PetscObjectComm((PetscObject)pc), PETSC_ERR_SUP, "Only supports additive or multiplicative as the local type");
  osm->loctype = type;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMGetLocalType_ASM(PC pc, PCCompositeType *type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  *type = osm->loctype;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetSortIndices_ASM(PC pc, PetscBool doSort)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  osm->sort_indices = doSort;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMGetSubKSP_ASM(PC pc, PetscInt *n_local, PetscInt *first_local, KSP **ksp)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  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");

  if (n_local) *n_local = osm->n_local_true;
  if (first_local) {
    PetscCallMPI(MPI_Scan(&osm->n_local_true, first_local, 1, MPIU_INT, MPI_SUM, PetscObjectComm((PetscObject)pc)));
    *first_local -= osm->n_local_true;
  }
  if (ksp) *ksp = osm->ksp;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMGetSubMatType_ASM(PC pc, MatType *sub_mat_type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscAssertPointer(sub_mat_type, 2);
  *sub_mat_type = osm->sub_mat_type;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode PCASMSetSubMatType_ASM(PC pc, MatType sub_mat_type)
{
  PC_ASM *osm = (PC_ASM *)pc->data;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscCall(PetscFree(osm->sub_mat_type));
  PetscCall(PetscStrallocpy(sub_mat_type, (char **)&osm->sub_mat_type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMSetLocalSubdomains - Sets the local subdomains (for this processor only) for the additive Schwarz preconditioner `PCASM`.

  Collective

  Input Parameters:
+ pc       - the preconditioner context
. n        - the number of subdomains for this processor (default value = 1)
. is       - the index set that defines the subdomains for this processor (or `NULL` for PETSc to determine subdomains)
             the values of the `is` array are copied so you can free the array (not the `IS` in the array) after this call
- is_local - the index sets that define the local part of the subdomains for this processor, not used unless `PCASMType` is `PC_ASM_RESTRICT`
             (or `NULL` to not provide these). The values of the `is_local` array are copied so you can free the array
             (not the `IS` in the array) after this call

  Options Database Key:
. -pc_asm_local_blocks <blks> - Sets number of local blocks

  Level: advanced

  Notes:
  The `IS` numbering is in the parallel, global numbering of the vector for both `is` and `is_local`

  By default the `PCASM` preconditioner uses 1 block per processor.

  Use `PCASMSetTotalSubdomains()` to set the subdomains for all processors.

  If `is_local` is provided and `PCASMType` is `PC_ASM_RESTRICT` then the solution only over the `is_local` region is interpolated
  back to form the global solution (this is the standard restricted additive Schwarz method, RASM)

  If `is_local` is provided and `PCASMType` is `PC_ASM_INTERPOLATE` or `PC_ASM_NONE` then an error is generated since there is
  no code to handle that case.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `PCASMType`, `PCASMSetType()`, `PCGASM`
@*/
PetscErrorCode PCASMSetLocalSubdomains(PC pc, PetscInt n, IS is[], IS is_local[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscTryMethod(pc, "PCASMSetLocalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, n, is, is_local));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMSetTotalSubdomains - Sets the subdomains for all processors for the
  additive Schwarz preconditioner, `PCASM`.

  Collective, all MPI ranks must pass in the same array of `IS`

  Input Parameters:
+ pc       - the preconditioner context
. N        - the number of subdomains for all processors
. is       - the index sets that define the subdomains for all processors (or `NULL` to ask PETSc to determine the subdomains)
- is_local - the index sets that define the local part of the subdomains for this processor (or `NULL` to not provide this information)

  Options Database Key:
. -pc_asm_blocks <blks> - Sets total blocks

  Level: advanced

  Notes:
  Currently you cannot use this to set the actual subdomains with the argument `is` or `is_local`.

  By default the `PCASM` preconditioner uses 1 block per processor.

  These index sets cannot be destroyed until after completion of the
  linear solves for which the `PCASM` preconditioner is being used.

  Use `PCASMSetLocalSubdomains()` to set local subdomains.

  The `IS` numbering is in the parallel, global numbering of the vector for both is and is_local

.seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCGASM`
@*/
PetscErrorCode PCASMSetTotalSubdomains(PC pc, PetscInt N, IS is[], IS is_local[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscTryMethod(pc, "PCASMSetTotalSubdomains_C", (PC, PetscInt, IS[], IS[]), (pc, N, is, is_local));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMSetOverlap - Sets the overlap between a pair of subdomains for the
  additive Schwarz preconditioner, `PCASM`.

  Logically Collective

  Input Parameters:
+ pc  - the preconditioner context
- ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1)

  Options Database Key:
. -pc_asm_overlap <ovl> - Sets overlap

  Level: intermediate

  Notes:
  By default the `PCASM` preconditioner uses 1 block per processor.  To use
  multiple blocks per perocessor, see `PCASMSetTotalSubdomains()` and
  `PCASMSetLocalSubdomains()` (and the option -pc_asm_blocks <blks>).

  The overlap defaults to 1, so if one desires that no additional
  overlap be computed beyond what may have been set with a call to
  `PCASMSetTotalSubdomains()` or `PCASMSetLocalSubdomains()`, then ovl
  must be set to be 0.  In particular, if one does not explicitly set
  the subdomains an application code, then all overlap would be computed
  internally by PETSc, and using an overlap of 0 would result in an `PCASM`
  variant that is equivalent to the block Jacobi preconditioner.

  The default algorithm used by PETSc to increase overlap is fast, but not scalable,
  use the option -mat_increase_overlap_scalable when the problem and number of processes is large.

  One can define initial index sets with any overlap via
  `PCASMSetLocalSubdomains()`; the routine
  `PCASMSetOverlap()` merely allows PETSc to extend that overlap further
  if desired.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCASMGetLocalSubdomains()`, `MatIncreaseOverlap()`, `PCGASM`
@*/
PetscErrorCode PCASMSetOverlap(PC pc, PetscInt ovl)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidLogicalCollectiveInt(pc, ovl, 2);
  PetscTryMethod(pc, "PCASMSetOverlap_C", (PC, PetscInt), (pc, ovl));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMSetType - Sets the type of restriction and interpolation used
  for local problems in the additive Schwarz method, `PCASM`.

  Logically Collective

  Input Parameters:
+ pc   - the preconditioner context
- type - variant of `PCASM`, one of
.vb
      PC_ASM_BASIC       - full interpolation and restriction
      PC_ASM_RESTRICT    - full restriction, local processor interpolation (default)
      PC_ASM_INTERPOLATE - full interpolation, local processor restriction
      PC_ASM_NONE        - local processor restriction and interpolation
.ve

  Options Database Key:
. -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`

  Level: intermediate

  Note:
  if the is_local arguments are passed to `PCASMSetLocalSubdomains()` then they are used when `PC_ASM_RESTRICT` has been selected
  to limit the local processor interpolation

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetLocalType()`, `PCASMGetLocalType()`, `PCGASM`
@*/
PetscErrorCode PCASMSetType(PC pc, PCASMType type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidLogicalCollectiveEnum(pc, type, 2);
  PetscTryMethod(pc, "PCASMSetType_C", (PC, PCASMType), (pc, type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMGetType - Gets the type of restriction and interpolation used
  for local problems in the additive Schwarz method, `PCASM`.

  Logically Collective

  Input Parameter:
. pc - the preconditioner context

  Output Parameter:
. type - variant of `PCASM`, one of
.vb
      PC_ASM_BASIC       - full interpolation and restriction
      PC_ASM_RESTRICT    - full restriction, local processor interpolation
      PC_ASM_INTERPOLATE - full interpolation, local processor restriction
      PC_ASM_NONE        - local processor restriction and interpolation
.ve

  Options Database Key:
. -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASM` type

  Level: intermediate

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`, `PCGASM`,
          `PCASMCreateSubdomains2D()`, `PCASMType`, `PCASMSetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
@*/
PetscErrorCode PCASMGetType(PC pc, PCASMType *type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscUseMethod(pc, "PCASMGetType_C", (PC, PCASMType *), (pc, type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMSetLocalType - Sets the type of composition used for local problems in the additive Schwarz method, `PCASM`.

  Logically Collective

  Input Parameters:
+ pc   - the preconditioner context
- type - type of composition, one of
.vb
  PC_COMPOSITE_ADDITIVE       - local additive combination
  PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
.ve

  Options Database Key:
. -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type

  Level: intermediate

.seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMGetLocalType()`, `PCASMType`, `PCCompositeType`
@*/
PetscErrorCode PCASMSetLocalType(PC pc, PCCompositeType type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidLogicalCollectiveEnum(pc, type, 2);
  PetscTryMethod(pc, "PCASMSetLocalType_C", (PC, PCCompositeType), (pc, type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMGetLocalType - Gets the type of composition used for local problems in the additive Schwarz method, `PCASM`.

  Logically Collective

  Input Parameter:
. pc - the preconditioner context

  Output Parameter:
. type - type of composition, one of
.vb
  PC_COMPOSITE_ADDITIVE       - local additive combination
  PC_COMPOSITE_MULTIPLICATIVE - local multiplicative combination
.ve

  Options Database Key:
. -pc_asm_local_type [additive,multiplicative] - Sets local solver composition type

  Level: intermediate

.seealso: [](ch_ksp), `PCASM`, `PCASMSetType()`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMCreate()`, `PCASMType`, `PCCompositeType`
@*/
PetscErrorCode PCASMGetLocalType(PC pc, PCCompositeType *type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscAssertPointer(type, 2);
  PetscUseMethod(pc, "PCASMGetLocalType_C", (PC, PCCompositeType *), (pc, type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMSetSortIndices - Determines whether subdomain indices are sorted.

  Logically Collective

  Input Parameters:
+ pc     - the preconditioner context
- doSort - sort the subdomain indices

  Level: intermediate

.seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`
@*/
PetscErrorCode PCASMSetSortIndices(PC pc, PetscBool doSort)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidLogicalCollectiveBool(pc, doSort, 2);
  PetscTryMethod(pc, "PCASMSetSortIndices_C", (PC, PetscBool), (pc, doSort));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMGetSubKSP - Gets the local `KSP` contexts for all blocks on
  this processor.

  Collective iff first_local is requested

  Input Parameter:
. pc - the preconditioner context

  Output Parameters:
+ n_local     - the number of blocks on this processor or `NULL`
. first_local - the global number of the first block on this processor or `NULL`, all processors must request or all must pass `NULL`
- ksp         - the array of `KSP` contexts

  Level: advanced

  Notes:
  After `PCASMGetSubKSP()` the array of `KSP`s is not to be freed.

  You must call `KSPSetUp()` before calling `PCASMGetSubKSP()`.

  Fortran Notes:
  The output argument 'ksp' must be an array of sufficient length or `PETSC_NULL_KSP`. The latter can be used to learn the necessary length.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`,
          `PCASMCreateSubdomains2D()`,
@*/
PetscErrorCode PCASMGetSubKSP(PC pc, PetscInt *n_local, PetscInt *first_local, KSP *ksp[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscUseMethod(pc, "PCASMGetSubKSP_C", (PC, PetscInt *, PetscInt *, KSP **), (pc, n_local, first_local, ksp));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
   PCASM - Use the (restricted) additive Schwarz method, each block is (approximately) solved with
           its own `KSP` object, {cite}`dryja1987additive` and {cite}`1sbg`

   Options Database Keys:
+  -pc_asm_blocks <blks>                          - Sets total blocks. Defaults to one block per MPI process.
.  -pc_asm_overlap <ovl>                          - Sets overlap
.  -pc_asm_type [basic,restrict,interpolate,none] - Sets `PCASMType`, default is restrict. See `PCASMSetType()`
.  -pc_asm_dm_subdomains <bool>                   - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()`
-  -pc_asm_local_type [additive, multiplicative]  - Sets `PCCompositeType`, default is additive. See `PCASMSetLocalType()`

   Level: beginner

   Notes:
   If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you
   will get a different convergence rate due to the default option of `-pc_asm_type restrict`. Use
   `-pc_asm_type basic` to get the same convergence behavior

   Each processor can have one or more blocks, but a block cannot be shared by more
   than one processor. Use `PCGASM` for subdomains shared by multiple processes.

   To set options on the solvers for each block append `-sub_` to all the `KSP`, and `PC`
   options database keys. For example, `-sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly`

   To set the options on the solvers separate for each block call `PCASMGetSubKSP()`
   and set the options directly on the resulting `KSP` object (you can access its `PC` with `KSPGetPC()`)

   If the `PC` has an associated `DM`, then, by default, `DMCreateDomainDecomposition()` is used to create the subdomains

.seealso: [](ch_ksp), `PCCreate()`, `PCSetType()`, `PCType`, `PC`, `PCASMType`, `PCCompositeType`,
          `PCBJACOBI`, `PCASMGetSubKSP()`, `PCASMSetLocalSubdomains()`, `PCASMType`, `PCASMGetType()`, `PCASMSetLocalType()`, `PCASMGetLocalType()`
          `PCASMSetTotalSubdomains()`, `PCSetModifySubMatrices()`, `PCASMSetOverlap()`, `PCASMSetType()`, `PCCompositeType`
M*/

PETSC_EXTERN PetscErrorCode PCCreate_ASM(PC pc)
{
  PC_ASM *osm;

  PetscFunctionBegin;
  PetscCall(PetscNew(&osm));

  osm->n             = PETSC_DECIDE;
  osm->n_local       = 0;
  osm->n_local_true  = PETSC_DECIDE;
  osm->overlap       = 1;
  osm->ksp           = NULL;
  osm->restriction   = NULL;
  osm->lprolongation = NULL;
  osm->lrestriction  = NULL;
  osm->x             = NULL;
  osm->y             = NULL;
  osm->is            = NULL;
  osm->is_local      = NULL;
  osm->mat           = NULL;
  osm->pmat          = NULL;
  osm->type          = PC_ASM_RESTRICT;
  osm->loctype       = PC_COMPOSITE_ADDITIVE;
  osm->sort_indices  = PETSC_TRUE;
  osm->dm_subdomains = PETSC_FALSE;
  osm->sub_mat_type  = NULL;

  pc->data                 = (void *)osm;
  pc->ops->apply           = PCApply_ASM;
  pc->ops->matapply        = PCMatApply_ASM;
  pc->ops->applytranspose  = PCApplyTranspose_ASM;
  pc->ops->setup           = PCSetUp_ASM;
  pc->ops->reset           = PCReset_ASM;
  pc->ops->destroy         = PCDestroy_ASM;
  pc->ops->setfromoptions  = PCSetFromOptions_ASM;
  pc->ops->setuponblocks   = PCSetUpOnBlocks_ASM;
  pc->ops->view            = PCView_ASM;
  pc->ops->applyrichardson = NULL;

  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalSubdomains_C", PCASMSetLocalSubdomains_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetTotalSubdomains_C", PCASMSetTotalSubdomains_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetOverlap_C", PCASMSetOverlap_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetType_C", PCASMSetType_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetType_C", PCASMGetType_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetLocalType_C", PCASMSetLocalType_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetLocalType_C", PCASMGetLocalType_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSortIndices_C", PCASMSetSortIndices_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubKSP_C", PCASMGetSubKSP_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMGetSubMatType_C", PCASMGetSubMatType_ASM));
  PetscCall(PetscObjectComposeFunction((PetscObject)pc, "PCASMSetSubMatType_C", PCASMSetSubMatType_ASM));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz
  preconditioner, `PCASM`,  for any problem on a general grid.

  Collective

  Input Parameters:
+ A - The global matrix operator
- n - the number of local blocks

  Output Parameter:
. outis - the array of index sets defining the subdomains

  Level: advanced

  Note:
  This generates nonoverlapping subdomains; the `PCASM` will generate the overlap
  from these if you use `PCASMSetLocalSubdomains()`

  Fortran Notes:
  You must provide the array outis[] already allocated of length n.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetLocalSubdomains()`, `PCASMDestroySubdomains()`
@*/
PetscErrorCode PCASMCreateSubdomains(Mat A, PetscInt n, IS *outis[])
{
  MatPartitioning mpart;
  const char     *prefix;
  PetscInt        i, j, rstart, rend, bs;
  PetscBool       hasop, isbaij = PETSC_FALSE, foundpart = PETSC_FALSE;
  Mat             Ad = NULL, adj;
  IS              ispart, isnumb, *is;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(A, MAT_CLASSID, 1);
  PetscAssertPointer(outis, 3);
  PetscCheck(n >= 1, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "number of local blocks must be > 0, n = %" PetscInt_FMT, n);

  /* Get prefix, row distribution, and block size */
  PetscCall(MatGetOptionsPrefix(A, &prefix));
  PetscCall(MatGetOwnershipRange(A, &rstart, &rend));
  PetscCall(MatGetBlockSize(A, &bs));
  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);

  /* Get diagonal block from matrix if possible */
  PetscCall(MatHasOperation(A, MATOP_GET_DIAGONAL_BLOCK, &hasop));
  if (hasop) PetscCall(MatGetDiagonalBlock(A, &Ad));
  if (Ad) {
    PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQBAIJ, &isbaij));
    if (!isbaij) PetscCall(PetscObjectBaseTypeCompare((PetscObject)Ad, MATSEQSBAIJ, &isbaij));
  }
  if (Ad && n > 1) {
    PetscBool match, done;
    /* Try to setup a good matrix partitioning if available */
    PetscCall(MatPartitioningCreate(PETSC_COMM_SELF, &mpart));
    PetscCall(PetscObjectSetOptionsPrefix((PetscObject)mpart, prefix));
    PetscCall(MatPartitioningSetFromOptions(mpart));
    PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGCURRENT, &match));
    if (!match) PetscCall(PetscObjectTypeCompare((PetscObject)mpart, MATPARTITIONINGSQUARE, &match));
    if (!match) { /* assume a "good" partitioner is available */
      PetscInt        na;
      const PetscInt *ia, *ja;
      PetscCall(MatGetRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
      if (done) {
        /* Build adjacency matrix by hand. Unfortunately a call to
           MatConvert(Ad,MATMPIADJ,MAT_INITIAL_MATRIX,&adj) will
           remove the block-aij structure and we cannot expect
           MatPartitioning to split vertices as we need */
        PetscInt        i, j, len, nnz, cnt, *iia = NULL, *jja = NULL;
        const PetscInt *row;
        nnz = 0;
        for (i = 0; i < na; i++) { /* count number of nonzeros */
          len = ia[i + 1] - ia[i];
          row = ja + ia[i];
          for (j = 0; j < len; j++) {
            if (row[j] == i) { /* don't count diagonal */
              len--;
              break;
            }
          }
          nnz += len;
        }
        PetscCall(PetscMalloc1(na + 1, &iia));
        PetscCall(PetscMalloc1(nnz, &jja));
        nnz    = 0;
        iia[0] = 0;
        for (i = 0; i < na; i++) { /* fill adjacency */
          cnt = 0;
          len = ia[i + 1] - ia[i];
          row = ja + ia[i];
          for (j = 0; j < len; j++) {
            if (row[j] != i) { /* if not diagonal */
              jja[nnz + cnt++] = row[j];
            }
          }
          nnz += cnt;
          iia[i + 1] = nnz;
        }
        /* Partitioning of the adjacency matrix */
        PetscCall(MatCreateMPIAdj(PETSC_COMM_SELF, na, na, iia, jja, NULL, &adj));
        PetscCall(MatPartitioningSetAdjacency(mpart, adj));
        PetscCall(MatPartitioningSetNParts(mpart, n));
        PetscCall(MatPartitioningApply(mpart, &ispart));
        PetscCall(ISPartitioningToNumbering(ispart, &isnumb));
        PetscCall(MatDestroy(&adj));
        foundpart = PETSC_TRUE;
      }
      PetscCall(MatRestoreRowIJ(Ad, 0, PETSC_TRUE, isbaij, &na, &ia, &ja, &done));
    }
    PetscCall(MatPartitioningDestroy(&mpart));
  }

  PetscCall(PetscMalloc1(n, &is));
  *outis = is;

  if (!foundpart) {
    /* Partitioning by contiguous chunks of rows */

    PetscInt mbs   = (rend - rstart) / bs;
    PetscInt start = rstart;
    for (i = 0; i < n; i++) {
      PetscInt count = (mbs / n + ((mbs % n) > i)) * bs;
      PetscCall(ISCreateStride(PETSC_COMM_SELF, count, start, 1, &is[i]));
      start += count;
    }

  } else {
    /* Partitioning by adjacency of diagonal block  */

    const PetscInt *numbering;
    PetscInt       *count, nidx, *indices, *newidx, start = 0;
    /* Get node count in each partition */
    PetscCall(PetscMalloc1(n, &count));
    PetscCall(ISPartitioningCount(ispart, n, count));
    if (isbaij && bs > 1) { /* adjust for the block-aij case */
      for (i = 0; i < n; i++) count[i] *= bs;
    }
    /* Build indices from node numbering */
    PetscCall(ISGetLocalSize(isnumb, &nidx));
    PetscCall(PetscMalloc1(nidx, &indices));
    for (i = 0; i < nidx; i++) indices[i] = i; /* needs to be initialized */
    PetscCall(ISGetIndices(isnumb, &numbering));
    PetscCall(PetscSortIntWithPermutation(nidx, numbering, indices));
    PetscCall(ISRestoreIndices(isnumb, &numbering));
    if (isbaij && bs > 1) { /* adjust for the block-aij case */
      PetscCall(PetscMalloc1(nidx * bs, &newidx));
      for (i = 0; i < nidx; i++) {
        for (j = 0; j < bs; j++) newidx[i * bs + j] = indices[i] * bs + j;
      }
      PetscCall(PetscFree(indices));
      nidx *= bs;
      indices = newidx;
    }
    /* Shift to get global indices */
    for (i = 0; i < nidx; i++) indices[i] += rstart;

    /* Build the index sets for each block */
    for (i = 0; i < n; i++) {
      PetscCall(ISCreateGeneral(PETSC_COMM_SELF, count[i], &indices[start], PETSC_COPY_VALUES, &is[i]));
      PetscCall(ISSort(is[i]));
      start += count[i];
    }

    PetscCall(PetscFree(count));
    PetscCall(PetscFree(indices));
    PetscCall(ISDestroy(&isnumb));
    PetscCall(ISDestroy(&ispart));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMDestroySubdomains - Destroys the index sets created with
  `PCASMCreateSubdomains()`. Should be called after setting subdomains with `PCASMSetLocalSubdomains()`.

  Collective

  Input Parameters:
+ n        - the number of index sets
. is       - the array of index sets
- is_local - the array of local index sets, can be `NULL`

  Level: advanced

.seealso: [](ch_ksp), `PCASM`, `PCASMCreateSubdomains()`, `PCASMSetLocalSubdomains()`
@*/
PetscErrorCode PCASMDestroySubdomains(PetscInt n, IS is[], IS is_local[])
{
  PetscInt i;

  PetscFunctionBegin;
  if (n <= 0) PetscFunctionReturn(PETSC_SUCCESS);
  if (is) {
    PetscAssertPointer(is, 2);
    for (i = 0; i < n; i++) PetscCall(ISDestroy(&is[i]));
    PetscCall(PetscFree(is));
  }
  if (is_local) {
    PetscAssertPointer(is_local, 3);
    for (i = 0; i < n; i++) PetscCall(ISDestroy(&is_local[i]));
    PetscCall(PetscFree(is_local));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz
  preconditioner, `PCASM`, for a two-dimensional problem on a regular grid.

  Not Collective

  Input Parameters:
+ m       - the number of mesh points in the x direction
. n       - the number of mesh points in the y direction
. M       - the number of subdomains in the x direction
. N       - the number of subdomains in the y direction
. dof     - degrees of freedom per node
- overlap - overlap in mesh lines

  Output Parameters:
+ Nsub     - the number of subdomains created
. is       - array of index sets defining overlapping (if overlap > 0) subdomains
- is_local - array of index sets defining non-overlapping subdomains

  Level: advanced

  Note:
  Presently `PCAMSCreateSubdomains2d()` is valid only for sequential
  preconditioners.  More general related routines are
  `PCASMSetTotalSubdomains()` and `PCASMSetLocalSubdomains()`.

  Fortran Notes:
  The `IS` must be declared as an array of length long enough to hold `Nsub` entries

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetLocalSubdomains()`, `PCASMGetSubKSP()`,
          `PCASMSetOverlap()`
@*/
PetscErrorCode PCASMCreateSubdomains2D(PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt dof, PetscInt overlap, PetscInt *Nsub, IS **is, IS **is_local)
{
  PetscInt i, j, height, width, ystart, xstart, yleft, yright, xleft, xright, loc_outer;
  PetscInt nidx, *idx, loc, ii, jj, count;

  PetscFunctionBegin;
  PetscCheck(dof == 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "dof must be 1");

  *Nsub = N * M;
  PetscCall(PetscMalloc1(*Nsub, is));
  PetscCall(PetscMalloc1(*Nsub, is_local));
  ystart    = 0;
  loc_outer = 0;
  for (i = 0; i < N; i++) {
    height = n / N + ((n % N) > i); /* height of subdomain */
    PetscCheck(height >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many N subdomains for mesh dimension n");
    yleft = ystart - overlap;
    if (yleft < 0) yleft = 0;
    yright = ystart + height + overlap;
    if (yright > n) yright = n;
    xstart = 0;
    for (j = 0; j < M; j++) {
      width = m / M + ((m % M) > j); /* width of subdomain */
      PetscCheck(width >= 2, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Too many M subdomains for mesh dimension m");
      xleft = xstart - overlap;
      if (xleft < 0) xleft = 0;
      xright = xstart + width + overlap;
      if (xright > m) xright = m;
      nidx = (xright - xleft) * (yright - yleft);
      PetscCall(PetscMalloc1(nidx, &idx));
      loc = 0;
      for (ii = yleft; ii < yright; ii++) {
        count = m * ii + xleft;
        for (jj = xleft; jj < xright; jj++) idx[loc++] = count++;
      }
      PetscCall(ISCreateGeneral(PETSC_COMM_SELF, nidx, idx, PETSC_COPY_VALUES, (*is) + loc_outer));
      if (overlap == 0) {
        PetscCall(PetscObjectReference((PetscObject)(*is)[loc_outer]));

        (*is_local)[loc_outer] = (*is)[loc_outer];
      } else {
        for (loc = 0, ii = ystart; ii < ystart + height; ii++) {
          for (jj = xstart; jj < xstart + width; jj++) idx[loc++] = m * ii + jj;
        }
        PetscCall(ISCreateGeneral(PETSC_COMM_SELF, loc, idx, PETSC_COPY_VALUES, *is_local + loc_outer));
      }
      PetscCall(PetscFree(idx));
      xstart += width;
      loc_outer++;
    }
    ystart += height;
  }
  for (i = 0; i < *Nsub; i++) PetscCall(ISSort((*is)[i]));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMGetLocalSubdomains - Gets the local subdomains (for this processor
  only) for the additive Schwarz preconditioner, `PCASM`.

  Not Collective

  Input Parameter:
. pc - the preconditioner context

  Output Parameters:
+ n        - if requested, the number of subdomains for this processor (default value = 1)
. is       - if requested, the index sets that define the subdomains for this processor
- is_local - if requested, the index sets that define the local part of the subdomains for this processor (can be `NULL`)

  Level: advanced

  Note:
  The `IS` numbering is in the parallel, global numbering of the vector.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubmatrices()`
@*/
PetscErrorCode PCASMGetLocalSubdomains(PC pc, PetscInt *n, IS *is[], IS *is_local[])
{
  PC_ASM   *osm = (PC_ASM *)pc->data;
  PetscBool match;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  if (n) PetscAssertPointer(n, 2);
  if (is) PetscAssertPointer(is, 3);
  if (is_local) PetscAssertPointer(is_local, 4);
  PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
  PetscCheck(match, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONG, "PC is not a PCASM");
  if (n) *n = osm->n_local_true;
  if (is) *is = osm->is;
  if (is_local) *is_local = osm->is_local;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor
  only) for the additive Schwarz preconditioner, `PCASM`.

  Not Collective

  Input Parameter:
. pc - the preconditioner context

  Output Parameters:
+ n   - if requested, the number of matrices for this processor (default value = 1)
- mat - if requested, the matrices

  Level: advanced

  Notes:
  Call after `PCSetUp()` (or `KSPSetUp()`) but before `PCApply()` and before `PCSetUpOnBlocks()`)

  Usually one would use `PCSetModifySubMatrices()` to change the submatrices in building the preconditioner.

.seealso: [](ch_ksp), `PCASM`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`, `PCASMGetSubKSP()`,
          `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`, `PCSetModifySubMatrices()`
@*/
PetscErrorCode PCASMGetLocalSubmatrices(PC pc, PetscInt *n, Mat *mat[])
{
  PC_ASM   *osm;
  PetscBool match;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  if (n) PetscAssertPointer(n, 2);
  if (mat) PetscAssertPointer(mat, 3);
  PetscCheck(pc->setupcalled, PetscObjectComm((PetscObject)pc), PETSC_ERR_ARG_WRONGSTATE, "Must call after KSPSetUp() or PCSetUp().");
  PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
  if (!match) {
    if (n) *n = 0;
    if (mat) *mat = NULL;
  } else {
    osm = (PC_ASM *)pc->data;
    if (n) *n = osm->n_local_true;
    if (mat) *mat = osm->pmat;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMSetDMSubdomains - Indicates whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.

  Logically Collective

  Input Parameters:
+ pc  - the preconditioner
- flg - boolean indicating whether to use subdomains defined by the `DM`

  Options Database Key:
. -pc_asm_dm_subdomains <bool> - use subdomains defined by the `DM` with `DMCreateDomainDecomposition()`

  Level: intermediate

  Note:
  `PCASMSetTotalSubdomains()` and `PCASMSetOverlap()` take precedence over `PCASMSetDMSubdomains()`,
  so setting either of the first two effectively turns the latter off.

  Developer Note:
  This should be `PCASMSetUseDMSubdomains()`, similarly for the options database key

.seealso: [](ch_ksp), `PCASM`, `PCASMGetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
          `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
@*/
PetscErrorCode PCASMSetDMSubdomains(PC pc, PetscBool flg)
{
  PC_ASM   *osm = (PC_ASM *)pc->data;
  PetscBool match;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscValidLogicalCollectiveBool(pc, flg, 2);
  PetscCheck(!pc->setupcalled, ((PetscObject)pc)->comm, PETSC_ERR_ARG_WRONGSTATE, "Not for a setup PC.");
  PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
  if (match) osm->dm_subdomains = flg;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  PCASMGetDMSubdomains - Returns flag indicating whether to use `DMCreateDomainDecomposition()` to define the subdomains, whenever possible.

  Not Collective

  Input Parameter:
. pc - the preconditioner

  Output Parameter:
. flg - boolean indicating whether to use subdomains defined by the `DM`

  Level: intermediate

  Developer Note:
  This should be `PCASMSetUseDMSubdomains()`

.seealso: [](ch_ksp), `PCASM`, `PCASMSetDMSubdomains()`, `PCASMSetTotalSubdomains()`, `PCASMSetOverlap()`
          `PCASMCreateSubdomains2D()`, `PCASMSetLocalSubdomains()`, `PCASMGetLocalSubdomains()`
@*/
PetscErrorCode PCASMGetDMSubdomains(PC pc, PetscBool *flg)
{
  PC_ASM   *osm = (PC_ASM *)pc->data;
  PetscBool match;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscAssertPointer(flg, 2);
  PetscCall(PetscObjectTypeCompare((PetscObject)pc, PCASM, &match));
  if (match) *flg = osm->dm_subdomains;
  else *flg = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMGetSubMatType - Gets the matrix type used for `PCASM` subsolves, as a string.

  Not Collective

  Input Parameter:
. pc - the `PC`

  Output Parameter:
. sub_mat_type - name of matrix type

  Level: advanced

.seealso: [](ch_ksp), `PCASM`, `PCASMSetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
@*/
PetscErrorCode PCASMGetSubMatType(PC pc, MatType *sub_mat_type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscTryMethod(pc, "PCASMGetSubMatType_C", (PC, MatType *), (pc, sub_mat_type));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  PCASMSetSubMatType - Set the type of matrix used for `PCASM` subsolves

  Collective

  Input Parameters:
+ pc           - the `PC` object
- sub_mat_type - the `MatType`

  Options Database Key:
. -pc_asm_sub_mat_type  <sub_mat_type> - Sets the matrix type used for subsolves, for example, seqaijviennacl.
   If you specify a base name like aijviennacl, the corresponding sequential type is assumed.

  Note:
  See `MatType` for available types

  Level: advanced

.seealso: [](ch_ksp), `PCASM`, `PCASMGetSubMatType()`, `PCSetType()`, `VecSetType()`, `MatType`, `Mat`
@*/
PetscErrorCode PCASMSetSubMatType(PC pc, MatType sub_mat_type)
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(pc, PC_CLASSID, 1);
  PetscTryMethod(pc, "PCASMSetSubMatType_C", (PC, MatType), (pc, sub_mat_type));
  PetscFunctionReturn(PETSC_SUCCESS);
}