xref: /petsc/src/mat/impls/sbaij/mpi/mpisbaij.c (revision 5a884c48ab0c46bab83cd9bb8710f380fa6d8bcf)

#include <../src/mat/impls/baij/mpi/mpibaij.h> /*I "petscmat.h" I*/
#include <../src/mat/impls/sbaij/mpi/mpisbaij.h>
#include <../src/mat/impls/sbaij/seq/sbaij.h>
#include <petscblaslapack.h>

static PetscErrorCode MatDestroy_MPISBAIJ(Mat mat)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;

  PetscFunctionBegin;
  PetscCall(PetscLogObjectState((PetscObject)mat, "Rows=%" PetscInt_FMT ",Cols=%" PetscInt_FMT, mat->rmap->N, mat->cmap->N));
  PetscCall(MatStashDestroy_Private(&mat->stash));
  PetscCall(MatStashDestroy_Private(&mat->bstash));
  PetscCall(MatDestroy(&baij->A));
  PetscCall(MatDestroy(&baij->B));
#if defined(PETSC_USE_CTABLE)
  PetscCall(PetscHMapIDestroy(&baij->colmap));
#else
  PetscCall(PetscFree(baij->colmap));
#endif
  PetscCall(PetscFree(baij->garray));
  PetscCall(VecDestroy(&baij->lvec));
  PetscCall(VecScatterDestroy(&baij->Mvctx));
  PetscCall(VecDestroy(&baij->slvec0));
  PetscCall(VecDestroy(&baij->slvec0b));
  PetscCall(VecDestroy(&baij->slvec1));
  PetscCall(VecDestroy(&baij->slvec1a));
  PetscCall(VecDestroy(&baij->slvec1b));
  PetscCall(VecScatterDestroy(&baij->sMvctx));
  PetscCall(PetscFree2(baij->rowvalues, baij->rowindices));
  PetscCall(PetscFree(baij->barray));
  PetscCall(PetscFree(baij->hd));
  PetscCall(VecDestroy(&baij->diag));
  PetscCall(VecDestroy(&baij->bb1));
  PetscCall(VecDestroy(&baij->xx1));
#if defined(PETSC_USE_REAL_MAT_SINGLE)
  PetscCall(PetscFree(baij->setvaluescopy));
#endif
  PetscCall(PetscFree(baij->in_loc));
  PetscCall(PetscFree(baij->v_loc));
  PetscCall(PetscFree(baij->rangebs));
  PetscCall(PetscFree(mat->data));

  PetscCall(PetscObjectChangeTypeName((PetscObject)mat, NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatStoreValues_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatRetrieveValues_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPISBAIJSetPreallocation_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatMPISBAIJSetPreallocationCSR_C", NULL));
#if defined(PETSC_HAVE_ELEMENTAL)
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_elemental_C", NULL));
#endif
#if defined(PETSC_HAVE_SCALAPACK) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE))
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_scalapack_C", NULL));
#endif
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_mpiaij_C", NULL));
  PetscCall(PetscObjectComposeFunction((PetscObject)mat, "MatConvert_mpisbaij_mpibaij_C", NULL));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* defines MatSetValues_MPI_Hash(), MatAssemblyBegin_MPI_Hash(), MatAssemblyEnd_MPI_Hash(), MatSetUp_MPI_Hash() */
#define TYPE SBAIJ
#define TYPE_SBAIJ
#include "../src/mat/impls/aij/mpi/mpihashmat.h"
#undef TYPE
#undef TYPE_SBAIJ

#if defined(PETSC_HAVE_ELEMENTAL)
PETSC_INTERN PetscErrorCode MatConvert_MPISBAIJ_Elemental(Mat, MatType, MatReuse, Mat *);
#endif
#if defined(PETSC_HAVE_SCALAPACK) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE))
PETSC_INTERN PetscErrorCode MatConvert_SBAIJ_ScaLAPACK(Mat, MatType, MatReuse, Mat *);
#endif

/* This could be moved to matimpl.h */
static PetscErrorCode MatPreallocateWithMats_Private(Mat B, PetscInt nm, Mat X[], PetscBool symm[], PetscBool fill)
{
  Mat       preallocator;
  PetscInt  r, rstart, rend;
  PetscInt  bs, i, m, n, M, N;
  PetscBool cong = PETSC_TRUE;

  PetscFunctionBegin;
  PetscValidHeaderSpecific(B, MAT_CLASSID, 1);
  PetscValidLogicalCollectiveInt(B, nm, 2);
  for (i = 0; i < nm; i++) {
    PetscValidHeaderSpecific(X[i], MAT_CLASSID, 3);
    PetscCall(PetscLayoutCompare(B->rmap, X[i]->rmap, &cong));
    PetscCheck(cong, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "Not for different layouts");
  }
  PetscValidLogicalCollectiveBool(B, fill, 5);
  PetscCall(MatGetBlockSize(B, &bs));
  PetscCall(MatGetSize(B, &M, &N));
  PetscCall(MatGetLocalSize(B, &m, &n));
  PetscCall(MatCreate(PetscObjectComm((PetscObject)B), &preallocator));
  PetscCall(MatSetType(preallocator, MATPREALLOCATOR));
  PetscCall(MatSetBlockSize(preallocator, bs));
  PetscCall(MatSetSizes(preallocator, m, n, M, N));
  PetscCall(MatSetUp(preallocator));
  PetscCall(MatGetOwnershipRange(preallocator, &rstart, &rend));
  for (r = rstart; r < rend; ++r) {
    PetscInt           ncols;
    const PetscInt    *row;
    const PetscScalar *vals;

    for (i = 0; i < nm; i++) {
      PetscCall(MatGetRow(X[i], r, &ncols, &row, &vals));
      PetscCall(MatSetValues(preallocator, 1, &r, ncols, row, vals, INSERT_VALUES));
      if (symm && symm[i]) PetscCall(MatSetValues(preallocator, ncols, row, 1, &r, vals, INSERT_VALUES));
      PetscCall(MatRestoreRow(X[i], r, &ncols, &row, &vals));
    }
  }
  PetscCall(MatAssemblyBegin(preallocator, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(preallocator, MAT_FINAL_ASSEMBLY));
  PetscCall(MatPreallocatorPreallocate(preallocator, fill, B));
  PetscCall(MatDestroy(&preallocator));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PETSC_INTERN PetscErrorCode MatConvert_MPISBAIJ_Basic(Mat A, MatType newtype, MatReuse reuse, Mat *newmat)
{
  Mat      B;
  PetscInt r;

  PetscFunctionBegin;
  if (reuse != MAT_REUSE_MATRIX) {
    PetscBool symm = PETSC_TRUE, isdense;
    PetscInt  bs;

    PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B));
    PetscCall(MatSetSizes(B, A->rmap->n, A->cmap->n, A->rmap->N, A->cmap->N));
    PetscCall(MatSetType(B, newtype));
    PetscCall(MatGetBlockSize(A, &bs));
    PetscCall(MatSetBlockSize(B, bs));
    PetscCall(PetscLayoutSetUp(B->rmap));
    PetscCall(PetscLayoutSetUp(B->cmap));
    PetscCall(PetscObjectTypeCompareAny((PetscObject)B, &isdense, MATSEQDENSE, MATMPIDENSE, MATSEQDENSECUDA, ""));
    if (!isdense) {
      PetscCall(MatGetRowUpperTriangular(A));
      PetscCall(MatPreallocateWithMats_Private(B, 1, &A, &symm, PETSC_TRUE));
      PetscCall(MatRestoreRowUpperTriangular(A));
    } else {
      PetscCall(MatSetUp(B));
    }
  } else {
    B = *newmat;
    PetscCall(MatZeroEntries(B));
  }

  PetscCall(MatGetRowUpperTriangular(A));
  for (r = A->rmap->rstart; r < A->rmap->rend; r++) {
    PetscInt           ncols;
    const PetscInt    *row;
    const PetscScalar *vals;

    PetscCall(MatGetRow(A, r, &ncols, &row, &vals));
    PetscCall(MatSetValues(B, 1, &r, ncols, row, vals, INSERT_VALUES));
#if defined(PETSC_USE_COMPLEX)
    if (A->hermitian == PETSC_BOOL3_TRUE) {
      PetscInt i;
      for (i = 0; i < ncols; i++) PetscCall(MatSetValue(B, row[i], r, PetscConj(vals[i]), INSERT_VALUES));
    } else {
      PetscCall(MatSetValues(B, ncols, row, 1, &r, vals, INSERT_VALUES));
    }
#else
    PetscCall(MatSetValues(B, ncols, row, 1, &r, vals, INSERT_VALUES));
#endif
    PetscCall(MatRestoreRow(A, r, &ncols, &row, &vals));
  }
  PetscCall(MatRestoreRowUpperTriangular(A));
  PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));

  if (reuse == MAT_INPLACE_MATRIX) {
    PetscCall(MatHeaderReplace(A, &B));
  } else {
    *newmat = B;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatStoreValues_MPISBAIJ(Mat mat)
{
  Mat_MPISBAIJ *aij = (Mat_MPISBAIJ *)mat->data;

  PetscFunctionBegin;
  PetscCall(MatStoreValues(aij->A));
  PetscCall(MatStoreValues(aij->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatRetrieveValues_MPISBAIJ(Mat mat)
{
  Mat_MPISBAIJ *aij = (Mat_MPISBAIJ *)mat->data;

  PetscFunctionBegin;
  PetscCall(MatRetrieveValues(aij->A));
  PetscCall(MatRetrieveValues(aij->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

#define MatSetValues_SeqSBAIJ_A_Private(row, col, value, addv, orow, ocol) \
  do { \
    brow = row / bs; \
    rp   = aj + ai[brow]; \
    ap   = aa + bs2 * ai[brow]; \
    rmax = aimax[brow]; \
    nrow = ailen[brow]; \
    bcol = col / bs; \
    ridx = row % bs; \
    cidx = col % bs; \
    low  = 0; \
    high = nrow; \
    while (high - low > 3) { \
      t = (low + high) / 2; \
      if (rp[t] > bcol) high = t; \
      else low = t; \
    } \
    for (_i = low; _i < high; _i++) { \
      if (rp[_i] > bcol) break; \
      if (rp[_i] == bcol) { \
        bap = ap + bs2 * _i + bs * cidx + ridx; \
        if (addv == ADD_VALUES) *bap += value; \
        else *bap = value; \
        goto a_noinsert; \
      } \
    } \
    if (a->nonew == 1) goto a_noinsert; \
    PetscCheck(a->nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new nonzero at global row/column (%" PetscInt_FMT ", %" PetscInt_FMT ") into matrix", orow, ocol); \
    MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, brow, bcol, rmax, aa, ai, aj, rp, ap, aimax, a->nonew, MatScalar); \
    N = nrow++ - 1; \
    /* shift up all the later entries in this row */ \
    PetscCall(PetscArraymove(rp + _i + 1, rp + _i, N - _i + 1)); \
    PetscCall(PetscArraymove(ap + bs2 * (_i + 1), ap + bs2 * _i, bs2 * (N - _i + 1))); \
    PetscCall(PetscArrayzero(ap + bs2 * _i, bs2)); \
    rp[_i]                          = bcol; \
    ap[bs2 * _i + bs * cidx + ridx] = value; \
  a_noinsert:; \
    ailen[brow] = nrow; \
  } while (0)

#define MatSetValues_SeqSBAIJ_B_Private(row, col, value, addv, orow, ocol) \
  do { \
    brow = row / bs; \
    rp   = bj + bi[brow]; \
    ap   = ba + bs2 * bi[brow]; \
    rmax = bimax[brow]; \
    nrow = bilen[brow]; \
    bcol = col / bs; \
    ridx = row % bs; \
    cidx = col % bs; \
    low  = 0; \
    high = nrow; \
    while (high - low > 3) { \
      t = (low + high) / 2; \
      if (rp[t] > bcol) high = t; \
      else low = t; \
    } \
    for (_i = low; _i < high; _i++) { \
      if (rp[_i] > bcol) break; \
      if (rp[_i] == bcol) { \
        bap = ap + bs2 * _i + bs * cidx + ridx; \
        if (addv == ADD_VALUES) *bap += value; \
        else *bap = value; \
        goto b_noinsert; \
      } \
    } \
    if (b->nonew == 1) goto b_noinsert; \
    PetscCheck(b->nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new nonzero at global row/column (%" PetscInt_FMT ", %" PetscInt_FMT ") into matrix", orow, ocol); \
    MatSeqXAIJReallocateAIJ(B, b->mbs, bs2, nrow, brow, bcol, rmax, ba, bi, bj, rp, ap, bimax, b->nonew, MatScalar); \
    N = nrow++ - 1; \
    /* shift up all the later entries in this row */ \
    PetscCall(PetscArraymove(rp + _i + 1, rp + _i, N - _i + 1)); \
    PetscCall(PetscArraymove(ap + bs2 * (_i + 1), ap + bs2 * _i, bs2 * (N - _i + 1))); \
    PetscCall(PetscArrayzero(ap + bs2 * _i, bs2)); \
    rp[_i]                          = bcol; \
    ap[bs2 * _i + bs * cidx + ridx] = value; \
  b_noinsert:; \
    bilen[brow] = nrow; \
  } while (0)

/* Only add/insert a(i,j) with i<=j (blocks).
   Any a(i,j) with i>j input by user is ignored or generates an error
*/
static PetscErrorCode MatSetValues_MPISBAIJ(Mat mat, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const PetscScalar v[], InsertMode addv)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  MatScalar     value;
  PetscBool     roworiented = baij->roworiented;
  PetscInt      i, j, row, col;
  PetscInt      rstart_orig = mat->rmap->rstart;
  PetscInt      rend_orig = mat->rmap->rend, cstart_orig = mat->cmap->rstart;
  PetscInt      cend_orig = mat->cmap->rend, bs = mat->rmap->bs;

  /* Some Variables required in the macro */
  Mat           A     = baij->A;
  Mat_SeqSBAIJ *a     = (Mat_SeqSBAIJ *)A->data;
  PetscInt     *aimax = a->imax, *ai = a->i, *ailen = a->ilen, *aj = a->j;
  MatScalar    *aa = a->a;

  Mat          B     = baij->B;
  Mat_SeqBAIJ *b     = (Mat_SeqBAIJ *)B->data;
  PetscInt    *bimax = b->imax, *bi = b->i, *bilen = b->ilen, *bj = b->j;
  MatScalar   *ba = b->a;

  PetscInt  *rp, ii, nrow, _i, rmax, N, brow, bcol;
  PetscInt   low, high, t, ridx, cidx, bs2 = a->bs2;
  MatScalar *ap, *bap;

  /* for stash */
  PetscInt   n_loc, *in_loc = NULL;
  MatScalar *v_loc = NULL;

  PetscFunctionBegin;
  if (!baij->donotstash) {
    if (n > baij->n_loc) {
      PetscCall(PetscFree(baij->in_loc));
      PetscCall(PetscFree(baij->v_loc));
      PetscCall(PetscMalloc1(n, &baij->in_loc));
      PetscCall(PetscMalloc1(n, &baij->v_loc));

      baij->n_loc = n;
    }
    in_loc = baij->in_loc;
    v_loc  = baij->v_loc;
  }

  for (i = 0; i < m; i++) {
    if (im[i] < 0) continue;
    PetscCheck(im[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, im[i], mat->rmap->N - 1);
    if (im[i] >= rstart_orig && im[i] < rend_orig) { /* this processor entry */
      row = im[i] - rstart_orig;                     /* local row index */
      for (j = 0; j < n; j++) {
        if (im[i] / bs > in[j] / bs) {
          PetscCheck(a->ignore_ltriangular, PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)");
          continue; /* ignore lower triangular blocks */
        }
        if (in[j] >= cstart_orig && in[j] < cend_orig) { /* diag entry (A) */
          col  = in[j] - cstart_orig;                    /* local col index */
          brow = row / bs;
          bcol = col / bs;
          if (brow > bcol) continue; /* ignore lower triangular blocks of A */
          if (roworiented) value = v[i * n + j];
          else value = v[i + j * m];
          MatSetValues_SeqSBAIJ_A_Private(row, col, value, addv, im[i], in[j]);
          /* PetscCall(MatSetValues_SeqBAIJ(baij->A,1,&row,1,&col,&value,addv)); */
        } else if (in[j] < 0) {
          continue;
        } else {
          PetscCheck(in[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, in[j], mat->cmap->N - 1);
          /* off-diag entry (B) */
          if (mat->was_assembled) {
            if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat));
#if defined(PETSC_USE_CTABLE)
            PetscCall(PetscHMapIGetWithDefault(baij->colmap, in[j] / bs + 1, 0, &col));
            col = col - 1;
#else
            col = baij->colmap[in[j] / bs] - 1;
#endif
            if (col < 0 && !((Mat_SeqSBAIJ *)baij->A->data)->nonew) {
              PetscCall(MatDisAssemble_MPISBAIJ(mat));
              col = in[j];
              /* Reinitialize the variables required by MatSetValues_SeqBAIJ_B_Private() */
              B     = baij->B;
              b     = (Mat_SeqBAIJ *)B->data;
              bimax = b->imax;
              bi    = b->i;
              bilen = b->ilen;
              bj    = b->j;
              ba    = b->a;
            } else col += in[j] % bs;
          } else col = in[j];
          if (roworiented) value = v[i * n + j];
          else value = v[i + j * m];
          MatSetValues_SeqSBAIJ_B_Private(row, col, value, addv, im[i], in[j]);
          /* PetscCall(MatSetValues_SeqBAIJ(baij->B,1,&row,1,&col,&value,addv)); */
        }
      }
    } else { /* off processor entry */
      PetscCheck(!mat->nooffprocentries, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Setting off process row %" PetscInt_FMT " even though MatSetOption(,MAT_NO_OFF_PROC_ENTRIES,PETSC_TRUE) was set", im[i]);
      if (!baij->donotstash) {
        mat->assembled = PETSC_FALSE;
        n_loc          = 0;
        for (j = 0; j < n; j++) {
          if (im[i] / bs > in[j] / bs) continue; /* ignore lower triangular blocks */
          in_loc[n_loc] = in[j];
          if (roworiented) {
            v_loc[n_loc] = v[i * n + j];
          } else {
            v_loc[n_loc] = v[j * m + i];
          }
          n_loc++;
        }
        PetscCall(MatStashValuesRow_Private(&mat->stash, im[i], n_loc, in_loc, v_loc, PETSC_FALSE));
      }
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static inline PetscErrorCode MatSetValuesBlocked_SeqSBAIJ_Inlined(Mat A, PetscInt row, PetscInt col, const PetscScalar v[], InsertMode is, PetscInt orow, PetscInt ocol)
{
  Mat_SeqSBAIJ      *a = (Mat_SeqSBAIJ *)A->data;
  PetscInt          *rp, low, high, t, ii, jj, nrow, i, rmax, N;
  PetscInt          *imax = a->imax, *ai = a->i, *ailen = a->ilen;
  PetscInt          *aj = a->j, nonew = a->nonew, bs2 = a->bs2, bs = A->rmap->bs;
  PetscBool          roworiented = a->roworiented;
  const PetscScalar *value       = v;
  MatScalar         *ap, *aa = a->a, *bap;

  PetscFunctionBegin;
  if (col < row) {
    PetscCheck(a->ignore_ltriangular, PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)");
    PetscFunctionReturn(PETSC_SUCCESS); /* ignore lower triangular block */
  }
  rp    = aj + ai[row];
  ap    = aa + bs2 * ai[row];
  rmax  = imax[row];
  nrow  = ailen[row];
  value = v;
  low   = 0;
  high  = nrow;

  while (high - low > 7) {
    t = (low + high) / 2;
    if (rp[t] > col) high = t;
    else low = t;
  }
  for (i = low; i < high; i++) {
    if (rp[i] > col) break;
    if (rp[i] == col) {
      bap = ap + bs2 * i;
      if (roworiented) {
        if (is == ADD_VALUES) {
          for (ii = 0; ii < bs; ii++) {
            for (jj = ii; jj < bs2; jj += bs) bap[jj] += *value++;
          }
        } else {
          for (ii = 0; ii < bs; ii++) {
            for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++;
          }
        }
      } else {
        if (is == ADD_VALUES) {
          for (ii = 0; ii < bs; ii++) {
            for (jj = 0; jj < bs; jj++) *bap++ += *value++;
          }
        } else {
          for (ii = 0; ii < bs; ii++) {
            for (jj = 0; jj < bs; jj++) *bap++ = *value++;
          }
        }
      }
      goto noinsert2;
    }
  }
  if (nonew == 1) goto noinsert2;
  PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new block index nonzero block (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", orow, ocol);
  MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, row, col, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar);
  N = nrow++ - 1;
  high++;
  /* shift up all the later entries in this row */
  PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1));
  PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1)));
  rp[i] = col;
  bap   = ap + bs2 * i;
  if (roworiented) {
    for (ii = 0; ii < bs; ii++) {
      for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++;
    }
  } else {
    for (ii = 0; ii < bs; ii++) {
      for (jj = 0; jj < bs; jj++) *bap++ = *value++;
    }
  }
noinsert2:;
  ailen[row] = nrow;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
   This routine is exactly duplicated in mpibaij.c
*/
static inline PetscErrorCode MatSetValuesBlocked_SeqBAIJ_Inlined(Mat A, PetscInt row, PetscInt col, const PetscScalar v[], InsertMode is, PetscInt orow, PetscInt ocol)
{
  Mat_SeqBAIJ       *a = (Mat_SeqBAIJ *)A->data;
  PetscInt          *rp, low, high, t, ii, jj, nrow, i, rmax, N;
  PetscInt          *imax = a->imax, *ai = a->i, *ailen = a->ilen;
  PetscInt          *aj = a->j, nonew = a->nonew, bs2 = a->bs2, bs = A->rmap->bs;
  PetscBool          roworiented = a->roworiented;
  const PetscScalar *value       = v;
  MatScalar         *ap, *aa = a->a, *bap;

  PetscFunctionBegin;
  rp    = aj + ai[row];
  ap    = aa + bs2 * ai[row];
  rmax  = imax[row];
  nrow  = ailen[row];
  low   = 0;
  high  = nrow;
  value = v;
  while (high - low > 7) {
    t = (low + high) / 2;
    if (rp[t] > col) high = t;
    else low = t;
  }
  for (i = low; i < high; i++) {
    if (rp[i] > col) break;
    if (rp[i] == col) {
      bap = ap + bs2 * i;
      if (roworiented) {
        if (is == ADD_VALUES) {
          for (ii = 0; ii < bs; ii++) {
            for (jj = ii; jj < bs2; jj += bs) bap[jj] += *value++;
          }
        } else {
          for (ii = 0; ii < bs; ii++) {
            for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++;
          }
        }
      } else {
        if (is == ADD_VALUES) {
          for (ii = 0; ii < bs; ii++, value += bs) {
            for (jj = 0; jj < bs; jj++) bap[jj] += value[jj];
            bap += bs;
          }
        } else {
          for (ii = 0; ii < bs; ii++, value += bs) {
            for (jj = 0; jj < bs; jj++) bap[jj] = value[jj];
            bap += bs;
          }
        }
      }
      goto noinsert2;
    }
  }
  if (nonew == 1) goto noinsert2;
  PetscCheck(nonew != -1, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Inserting a new global block indexed nonzero block (%" PetscInt_FMT ", %" PetscInt_FMT ") in the matrix", orow, ocol);
  MatSeqXAIJReallocateAIJ(A, a->mbs, bs2, nrow, row, col, rmax, aa, ai, aj, rp, ap, imax, nonew, MatScalar);
  N = nrow++ - 1;
  high++;
  /* shift up all the later entries in this row */
  PetscCall(PetscArraymove(rp + i + 1, rp + i, N - i + 1));
  PetscCall(PetscArraymove(ap + bs2 * (i + 1), ap + bs2 * i, bs2 * (N - i + 1)));
  rp[i] = col;
  bap   = ap + bs2 * i;
  if (roworiented) {
    for (ii = 0; ii < bs; ii++) {
      for (jj = ii; jj < bs2; jj += bs) bap[jj] = *value++;
    }
  } else {
    for (ii = 0; ii < bs; ii++) {
      for (jj = 0; jj < bs; jj++) *bap++ = *value++;
    }
  }
noinsert2:;
  ailen[row] = nrow;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
    This routine could be optimized by removing the need for the block copy below and passing stride information
  to the above inline routines; similarly in MatSetValuesBlocked_MPIBAIJ()
*/
static PetscErrorCode MatSetValuesBlocked_MPISBAIJ(Mat mat, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const MatScalar v[], InsertMode addv)
{
  Mat_MPISBAIJ    *baij = (Mat_MPISBAIJ *)mat->data;
  const MatScalar *value;
  MatScalar       *barray      = baij->barray;
  PetscBool        roworiented = baij->roworiented, ignore_ltriangular = ((Mat_SeqSBAIJ *)baij->A->data)->ignore_ltriangular;
  PetscInt         i, j, ii, jj, row, col, rstart = baij->rstartbs;
  PetscInt         rend = baij->rendbs, cstart = baij->cstartbs, stepval;
  PetscInt         cend = baij->cendbs, bs = mat->rmap->bs, bs2 = baij->bs2;

  PetscFunctionBegin;
  if (!barray) {
    PetscCall(PetscMalloc1(bs2, &barray));
    baij->barray = barray;
  }

  if (roworiented) {
    stepval = (n - 1) * bs;
  } else {
    stepval = (m - 1) * bs;
  }
  for (i = 0; i < m; i++) {
    if (im[i] < 0) continue;
    PetscCheck(im[i] < baij->Mbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block indexed row too large %" PetscInt_FMT " max %" PetscInt_FMT, im[i], baij->Mbs - 1);
    if (im[i] >= rstart && im[i] < rend) {
      row = im[i] - rstart;
      for (j = 0; j < n; j++) {
        if (im[i] > in[j]) {
          PetscCheck(ignore_ltriangular, PETSC_COMM_SELF, PETSC_ERR_USER, "Lower triangular value cannot be set for sbaij format. Ignoring these values, run with -mat_ignore_lower_triangular or call MatSetOption(mat,MAT_IGNORE_LOWER_TRIANGULAR,PETSC_TRUE)");
          continue; /* ignore lower triangular blocks */
        }
        /* If NumCol = 1 then a copy is not required */
        if (roworiented && n == 1) {
          barray = (MatScalar *)v + i * bs2;
        } else if ((!roworiented) && (m == 1)) {
          barray = (MatScalar *)v + j * bs2;
        } else { /* Here a copy is required */
          if (roworiented) {
            value = v + i * (stepval + bs) * bs + j * bs;
          } else {
            value = v + j * (stepval + bs) * bs + i * bs;
          }
          for (ii = 0; ii < bs; ii++, value += stepval) {
            for (jj = 0; jj < bs; jj++) *barray++ = *value++;
          }
          barray -= bs2;
        }

        if (in[j] >= cstart && in[j] < cend) {
          col = in[j] - cstart;
          PetscCall(MatSetValuesBlocked_SeqSBAIJ_Inlined(baij->A, row, col, barray, addv, im[i], in[j]));
        } else if (in[j] < 0) {
          continue;
        } else {
          PetscCheck(in[j] < baij->Nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Block indexed column too large %" PetscInt_FMT " max %" PetscInt_FMT, in[j], baij->Nbs - 1);
          if (mat->was_assembled) {
            if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat));

#if defined(PETSC_USE_CTABLE)
            PetscCall(PetscHMapIGetWithDefault(baij->colmap, in[j] + 1, 0, &col));
            col = col < 1 ? -1 : (col - 1) / bs;
#else
            col = baij->colmap[in[j]] < 1 ? -1 : (baij->colmap[in[j]] - 1) / bs;
#endif
            if (col < 0 && !((Mat_SeqBAIJ *)baij->A->data)->nonew) {
              PetscCall(MatDisAssemble_MPISBAIJ(mat));
              col = in[j];
            }
          } else col = in[j];
          PetscCall(MatSetValuesBlocked_SeqBAIJ_Inlined(baij->B, row, col, barray, addv, im[i], in[j]));
        }
      }
    } else {
      PetscCheck(!mat->nooffprocentries, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Setting off process block indexed row %" PetscInt_FMT " even though MatSetOption(,MAT_NO_OFF_PROC_ENTRIES,PETSC_TRUE) was set", im[i]);
      if (!baij->donotstash) {
        if (roworiented) {
          PetscCall(MatStashValuesRowBlocked_Private(&mat->bstash, im[i], n, in, v, m, n, i));
        } else {
          PetscCall(MatStashValuesColBlocked_Private(&mat->bstash, im[i], n, in, v, m, n, i));
        }
      }
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetValues_MPISBAIJ(Mat mat, PetscInt m, const PetscInt idxm[], PetscInt n, const PetscInt idxn[], PetscScalar v[])
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  PetscInt      bs = mat->rmap->bs, i, j, bsrstart = mat->rmap->rstart, bsrend = mat->rmap->rend;
  PetscInt      bscstart = mat->cmap->rstart, bscend = mat->cmap->rend, row, col, data;

  PetscFunctionBegin;
  for (i = 0; i < m; i++) {
    if (idxm[i] < 0) continue; /* negative row */
    PetscCheck(idxm[i] < mat->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, idxm[i], mat->rmap->N - 1);
    PetscCheck(idxm[i] >= bsrstart && idxm[i] < bsrend, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only local values currently supported");
    row = idxm[i] - bsrstart;
    for (j = 0; j < n; j++) {
      if (idxn[j] < 0) continue; /* negative column */
      PetscCheck(idxn[j] < mat->cmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, idxn[j], mat->cmap->N - 1);
      if (idxn[j] >= bscstart && idxn[j] < bscend) {
        col = idxn[j] - bscstart;
        PetscCall(MatGetValues_SeqSBAIJ(baij->A, 1, &row, 1, &col, v + i * n + j));
      } else {
        if (!baij->colmap) PetscCall(MatCreateColmap_MPIBAIJ_Private(mat));
#if defined(PETSC_USE_CTABLE)
        PetscCall(PetscHMapIGetWithDefault(baij->colmap, idxn[j] / bs + 1, 0, &data));
        data--;
#else
        data = baij->colmap[idxn[j] / bs] - 1;
#endif
        if (data < 0 || baij->garray[data / bs] != idxn[j] / bs) *(v + i * n + j) = 0.0;
        else {
          col = data + idxn[j] % bs;
          PetscCall(MatGetValues_SeqBAIJ(baij->B, 1, &row, 1, &col, v + i * n + j));
        }
      }
    }
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatNorm_MPISBAIJ(Mat mat, NormType type, PetscReal *norm)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  PetscReal     sum[2], *lnorm2;

  PetscFunctionBegin;
  if (baij->size == 1) {
    PetscCall(MatNorm(baij->A, type, norm));
  } else {
    if (type == NORM_FROBENIUS) {
      PetscCall(PetscMalloc1(2, &lnorm2));
      PetscCall(MatNorm(baij->A, type, lnorm2));
      *lnorm2 = (*lnorm2) * (*lnorm2);
      lnorm2++; /* square power of norm(A) */
      PetscCall(MatNorm(baij->B, type, lnorm2));
      *lnorm2 = (*lnorm2) * (*lnorm2);
      lnorm2--; /* square power of norm(B) */
      PetscCallMPI(MPIU_Allreduce(lnorm2, sum, 2, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)mat)));
      *norm = PetscSqrtReal(sum[0] + 2 * sum[1]);
      PetscCall(PetscFree(lnorm2));
    } else if (type == NORM_INFINITY || type == NORM_1) { /* max row/column sum */
      Mat_SeqSBAIJ *amat = (Mat_SeqSBAIJ *)baij->A->data;
      Mat_SeqBAIJ  *bmat = (Mat_SeqBAIJ *)baij->B->data;
      PetscReal    *rsum, vabs;
      PetscInt     *jj, *garray = baij->garray, rstart = baij->rstartbs, nz;
      PetscInt      brow, bcol, col, bs = baij->A->rmap->bs, row, grow, gcol, mbs = amat->mbs;
      MatScalar    *v;

      PetscCall(PetscCalloc1(mat->cmap->N, &rsum));
      /* Amat */
      v  = amat->a;
      jj = amat->j;
      for (brow = 0; brow < mbs; brow++) {
        grow = bs * (rstart + brow);
        nz   = amat->i[brow + 1] - amat->i[brow];
        for (bcol = 0; bcol < nz; bcol++) {
          gcol = bs * (rstart + *jj);
          jj++;
          for (col = 0; col < bs; col++) {
            for (row = 0; row < bs; row++) {
              vabs = PetscAbsScalar(*v);
              v++;
              rsum[gcol + col] += vabs;
              /* non-diagonal block */
              if (bcol > 0 && vabs > 0.0) rsum[grow + row] += vabs;
            }
          }
        }
        PetscCall(PetscLogFlops(nz * bs * bs));
      }
      /* Bmat */
      v  = bmat->a;
      jj = bmat->j;
      for (brow = 0; brow < mbs; brow++) {
        grow = bs * (rstart + brow);
        nz   = bmat->i[brow + 1] - bmat->i[brow];
        for (bcol = 0; bcol < nz; bcol++) {
          gcol = bs * garray[*jj];
          jj++;
          for (col = 0; col < bs; col++) {
            for (row = 0; row < bs; row++) {
              vabs = PetscAbsScalar(*v);
              v++;
              rsum[gcol + col] += vabs;
              rsum[grow + row] += vabs;
            }
          }
        }
        PetscCall(PetscLogFlops(nz * bs * bs));
      }
      PetscCallMPI(MPIU_Allreduce(MPI_IN_PLACE, rsum, mat->cmap->N, MPIU_REAL, MPIU_SUM, PetscObjectComm((PetscObject)mat)));
      *norm = 0.0;
      for (col = 0; col < mat->cmap->N; col++) {
        if (rsum[col] > *norm) *norm = rsum[col];
      }
      PetscCall(PetscFree(rsum));
    } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "No support for this norm yet");
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatAssemblyBegin_MPISBAIJ(Mat mat, MatAssemblyType mode)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  PetscInt      nstash, reallocs;

  PetscFunctionBegin;
  if (baij->donotstash || mat->nooffprocentries) PetscFunctionReturn(PETSC_SUCCESS);

  PetscCall(MatStashScatterBegin_Private(mat, &mat->stash, mat->rmap->range));
  PetscCall(MatStashScatterBegin_Private(mat, &mat->bstash, baij->rangebs));
  PetscCall(MatStashGetInfo_Private(&mat->stash, &nstash, &reallocs));
  PetscCall(PetscInfo(mat, "Stash has %" PetscInt_FMT " entries,uses %" PetscInt_FMT " mallocs.\n", nstash, reallocs));
  PetscCall(MatStashGetInfo_Private(&mat->stash, &nstash, &reallocs));
  PetscCall(PetscInfo(mat, "Block-Stash has %" PetscInt_FMT " entries, uses %" PetscInt_FMT " mallocs.\n", nstash, reallocs));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatAssemblyEnd_MPISBAIJ(Mat mat, MatAssemblyType mode)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  Mat_SeqSBAIJ *a    = (Mat_SeqSBAIJ *)baij->A->data;
  PetscInt      i, j, rstart, ncols, flg, bs2 = baij->bs2;
  PetscInt     *row, *col;
  PetscBool     all_assembled;
  PetscMPIInt   n;
  PetscBool     r1, r2, r3;
  MatScalar    *val;

  /* do not use 'b=(Mat_SeqBAIJ*)baij->B->data' as B can be reset in disassembly */
  PetscFunctionBegin;
  if (!baij->donotstash && !mat->nooffprocentries) {
    while (1) {
      PetscCall(MatStashScatterGetMesg_Private(&mat->stash, &n, &row, &col, &val, &flg));
      if (!flg) break;

      for (i = 0; i < n;) {
        /* Now identify the consecutive vals belonging to the same row */
        for (j = i, rstart = row[j]; j < n; j++) {
          if (row[j] != rstart) break;
        }
        if (j < n) ncols = j - i;
        else ncols = n - i;
        /* Now assemble all these values with a single function call */
        PetscCall(MatSetValues_MPISBAIJ(mat, 1, row + i, ncols, col + i, val + i, mat->insertmode));
        i = j;
      }
    }
    PetscCall(MatStashScatterEnd_Private(&mat->stash));
    /* Now process the block-stash. Since the values are stashed column-oriented,
       set the row-oriented flag to column-oriented, and after MatSetValues()
       restore the original flags */
    r1 = baij->roworiented;
    r2 = a->roworiented;
    r3 = ((Mat_SeqBAIJ *)baij->B->data)->roworiented;

    baij->roworiented = PETSC_FALSE;
    a->roworiented    = PETSC_FALSE;

    ((Mat_SeqBAIJ *)baij->B->data)->roworiented = PETSC_FALSE; /* b->roworiented */
    while (1) {
      PetscCall(MatStashScatterGetMesg_Private(&mat->bstash, &n, &row, &col, &val, &flg));
      if (!flg) break;

      for (i = 0; i < n;) {
        /* Now identify the consecutive vals belonging to the same row */
        for (j = i, rstart = row[j]; j < n; j++) {
          if (row[j] != rstart) break;
        }
        if (j < n) ncols = j - i;
        else ncols = n - i;
        PetscCall(MatSetValuesBlocked_MPISBAIJ(mat, 1, row + i, ncols, col + i, val + i * bs2, mat->insertmode));
        i = j;
      }
    }
    PetscCall(MatStashScatterEnd_Private(&mat->bstash));

    baij->roworiented = r1;
    a->roworiented    = r2;

    ((Mat_SeqBAIJ *)baij->B->data)->roworiented = r3; /* b->roworiented */
  }

  PetscCall(MatAssemblyBegin(baij->A, mode));
  PetscCall(MatAssemblyEnd(baij->A, mode));

  /* determine if any process has disassembled, if so we must
     also disassemble ourselves, in order that we may reassemble. */
  /*
     if nonzero structure of submatrix B cannot change then we know that
     no process disassembled thus we can skip this stuff
  */
  if (!((Mat_SeqBAIJ *)baij->B->data)->nonew) {
    PetscCallMPI(MPIU_Allreduce(&mat->was_assembled, &all_assembled, 1, MPI_C_BOOL, MPI_LAND, PetscObjectComm((PetscObject)mat)));
    if (mat->was_assembled && !all_assembled) PetscCall(MatDisAssemble_MPISBAIJ(mat));
  }

  if (!mat->was_assembled && mode == MAT_FINAL_ASSEMBLY) PetscCall(MatSetUpMultiply_MPISBAIJ(mat)); /* setup Mvctx and sMvctx */
  PetscCall(MatAssemblyBegin(baij->B, mode));
  PetscCall(MatAssemblyEnd(baij->B, mode));

  PetscCall(PetscFree2(baij->rowvalues, baij->rowindices));

  baij->rowvalues = NULL;

  /* if no new nonzero locations are allowed in matrix then only set the matrix state the first time through */
  if ((!mat->was_assembled && mode == MAT_FINAL_ASSEMBLY) || !((Mat_SeqBAIJ *)baij->A->data)->nonew) {
    PetscObjectState state = baij->A->nonzerostate + baij->B->nonzerostate;
    PetscCallMPI(MPIU_Allreduce(&state, &mat->nonzerostate, 1, MPIU_INT64, MPI_SUM, PetscObjectComm((PetscObject)mat)));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

extern PetscErrorCode MatSetValues_MPIBAIJ(Mat, PetscInt, const PetscInt[], PetscInt, const PetscInt[], const PetscScalar[], InsertMode);
#include <petscdraw.h>
static PetscErrorCode MatView_MPISBAIJ_ASCIIorDraworSocket(Mat mat, PetscViewer viewer)
{
  Mat_MPISBAIJ     *baij = (Mat_MPISBAIJ *)mat->data;
  PetscInt          bs   = mat->rmap->bs;
  PetscMPIInt       rank = baij->rank;
  PetscBool         isascii, isdraw;
  PetscViewer       sviewer;
  PetscViewerFormat format;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isascii));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw));
  if (isascii) {
    PetscCall(PetscViewerGetFormat(viewer, &format));
    if (format == PETSC_VIEWER_ASCII_INFO_DETAIL) {
      MatInfo info;
      PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)mat), &rank));
      PetscCall(MatGetInfo(mat, MAT_LOCAL, &info));
      PetscCall(PetscViewerASCIIPushSynchronized(viewer));
      PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] Local rows %" PetscInt_FMT " nz %" PetscInt_FMT " nz alloced %" PetscInt_FMT " bs %" PetscInt_FMT " mem %g\n", rank, mat->rmap->n, (PetscInt)info.nz_used, (PetscInt)info.nz_allocated,
                                                   mat->rmap->bs, info.memory));
      PetscCall(MatGetInfo(baij->A, MAT_LOCAL, &info));
      PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] on-diagonal part: nz %" PetscInt_FMT " \n", rank, (PetscInt)info.nz_used));
      PetscCall(MatGetInfo(baij->B, MAT_LOCAL, &info));
      PetscCall(PetscViewerASCIISynchronizedPrintf(viewer, "[%d] off-diagonal part: nz %" PetscInt_FMT " \n", rank, (PetscInt)info.nz_used));
      PetscCall(PetscViewerFlush(viewer));
      PetscCall(PetscViewerASCIIPopSynchronized(viewer));
      PetscCall(PetscViewerASCIIPrintf(viewer, "Information on VecScatter used in matrix-vector product: \n"));
      PetscCall(VecScatterView(baij->Mvctx, viewer));
      PetscFunctionReturn(PETSC_SUCCESS);
    } else if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_FACTOR_INFO) PetscFunctionReturn(PETSC_SUCCESS);
  }

  if (isdraw) {
    PetscDraw draw;
    PetscBool isnull;
    PetscCall(PetscViewerDrawGetDraw(viewer, 0, &draw));
    PetscCall(PetscDrawIsNull(draw, &isnull));
    if (isnull) PetscFunctionReturn(PETSC_SUCCESS);
  }

  {
    /* assemble the entire matrix onto first processor. */
    Mat           A;
    Mat_SeqSBAIJ *Aloc;
    Mat_SeqBAIJ  *Bloc;
    PetscInt      M = mat->rmap->N, N = mat->cmap->N, *ai, *aj, col, i, j, k, *rvals, mbs = baij->mbs;
    MatScalar    *a;
    const char   *matname;

    /* Should this be the same type as mat? */
    PetscCall(MatCreate(PetscObjectComm((PetscObject)mat), &A));
    if (rank == 0) {
      PetscCall(MatSetSizes(A, M, N, M, N));
    } else {
      PetscCall(MatSetSizes(A, 0, 0, M, N));
    }
    PetscCall(MatSetType(A, MATMPISBAIJ));
    PetscCall(MatMPISBAIJSetPreallocation(A, mat->rmap->bs, 0, NULL, 0, NULL));
    PetscCall(MatSetOption(A, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_FALSE));

    /* copy over the A part */
    Aloc = (Mat_SeqSBAIJ *)baij->A->data;
    ai   = Aloc->i;
    aj   = Aloc->j;
    a    = Aloc->a;
    PetscCall(PetscMalloc1(bs, &rvals));

    for (i = 0; i < mbs; i++) {
      rvals[0] = bs * (baij->rstartbs + i);
      for (j = 1; j < bs; j++) rvals[j] = rvals[j - 1] + 1;
      for (j = ai[i]; j < ai[i + 1]; j++) {
        col = (baij->cstartbs + aj[j]) * bs;
        for (k = 0; k < bs; k++) {
          PetscCall(MatSetValues_MPISBAIJ(A, bs, rvals, 1, &col, a, INSERT_VALUES));
          col++;
          a += bs;
        }
      }
    }
    /* copy over the B part */
    Bloc = (Mat_SeqBAIJ *)baij->B->data;
    ai   = Bloc->i;
    aj   = Bloc->j;
    a    = Bloc->a;
    for (i = 0; i < mbs; i++) {
      rvals[0] = bs * (baij->rstartbs + i);
      for (j = 1; j < bs; j++) rvals[j] = rvals[j - 1] + 1;
      for (j = ai[i]; j < ai[i + 1]; j++) {
        col = baij->garray[aj[j]] * bs;
        for (k = 0; k < bs; k++) {
          PetscCall(MatSetValues_MPIBAIJ(A, bs, rvals, 1, &col, a, INSERT_VALUES));
          col++;
          a += bs;
        }
      }
    }
    PetscCall(PetscFree(rvals));
    PetscCall(MatAssemblyBegin(A, MAT_FINAL_ASSEMBLY));
    PetscCall(MatAssemblyEnd(A, MAT_FINAL_ASSEMBLY));
    /*
       Everyone has to call to draw the matrix since the graphics waits are
       synchronized across all processors that share the PetscDraw object
    */
    PetscCall(PetscViewerGetSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
    if (((PetscObject)mat)->name) PetscCall(PetscObjectGetName((PetscObject)mat, &matname));
    if (rank == 0) {
      if (((PetscObject)mat)->name) PetscCall(PetscObjectSetName((PetscObject)((Mat_MPISBAIJ *)A->data)->A, matname));
      PetscCall(MatView_SeqSBAIJ(((Mat_MPISBAIJ *)A->data)->A, sviewer));
    }
    PetscCall(PetscViewerRestoreSubViewer(viewer, PETSC_COMM_SELF, &sviewer));
    PetscCall(MatDestroy(&A));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* Used for both MPIBAIJ and MPISBAIJ matrices */
#define MatView_MPISBAIJ_Binary MatView_MPIBAIJ_Binary

static PetscErrorCode MatView_MPISBAIJ(Mat mat, PetscViewer viewer)
{
  PetscBool isascii, isdraw, issocket, isbinary;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERASCII, &isascii));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERDRAW, &isdraw));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERSOCKET, &issocket));
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
  if (isascii || isdraw || issocket) PetscCall(MatView_MPISBAIJ_ASCIIorDraworSocket(mat, viewer));
  else if (isbinary) PetscCall(MatView_MPISBAIJ_Binary(mat, viewer));
  PetscFunctionReturn(PETSC_SUCCESS);
}

#if defined(PETSC_USE_COMPLEX)
static PetscErrorCode MatMult_MPISBAIJ_Hermitian(Mat A, Vec xx, Vec yy)
{
  Mat_MPISBAIJ      *a   = (Mat_MPISBAIJ *)A->data;
  PetscInt           mbs = a->mbs, bs = A->rmap->bs;
  PetscScalar       *from;
  const PetscScalar *x;

  PetscFunctionBegin;
  /* diagonal part */
  PetscCall((*a->A->ops->mult)(a->A, xx, a->slvec1a));
  /* since a->slvec1b shares memory (dangerously) with a->slec1 changes to a->slec1 will affect it */
  PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b));
  PetscCall(VecZeroEntries(a->slvec1b));

  /* subdiagonal part */
  PetscCheck(a->B->ops->multhermitiantranspose, PetscObjectComm((PetscObject)a->B), PETSC_ERR_SUP, "Not for type %s", ((PetscObject)a->B)->type_name);
  PetscCall((*a->B->ops->multhermitiantranspose)(a->B, xx, a->slvec0b));

  /* copy x into the vec slvec0 */
  PetscCall(VecGetArray(a->slvec0, &from));
  PetscCall(VecGetArrayRead(xx, &x));

  PetscCall(PetscArraycpy(from, x, bs * mbs));
  PetscCall(VecRestoreArray(a->slvec0, &from));
  PetscCall(VecRestoreArrayRead(xx, &x));

  PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  /* supperdiagonal part */
  PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}
#endif

static PetscErrorCode MatMult_MPISBAIJ(Mat A, Vec xx, Vec yy)
{
  Mat_MPISBAIJ      *a   = (Mat_MPISBAIJ *)A->data;
  PetscInt           mbs = a->mbs, bs = A->rmap->bs;
  PetscScalar       *from;
  const PetscScalar *x;

  PetscFunctionBegin;
  /* diagonal part */
  PetscCall((*a->A->ops->mult)(a->A, xx, a->slvec1a));
  /* since a->slvec1b shares memory (dangerously) with a->slec1 changes to a->slec1 will affect it */
  PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b));
  PetscCall(VecZeroEntries(a->slvec1b));

  /* subdiagonal part */
  PetscCall((*a->B->ops->multtranspose)(a->B, xx, a->slvec0b));

  /* copy x into the vec slvec0 */
  PetscCall(VecGetArray(a->slvec0, &from));
  PetscCall(VecGetArrayRead(xx, &x));

  PetscCall(PetscArraycpy(from, x, bs * mbs));
  PetscCall(VecRestoreArray(a->slvec0, &from));
  PetscCall(VecRestoreArrayRead(xx, &x));

  PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  /* supperdiagonal part */
  PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}

#if PetscDefined(USE_COMPLEX)
static PetscErrorCode MatMultAdd_MPISBAIJ_Hermitian(Mat A, Vec xx, Vec yy, Vec zz)
{
  Mat_MPISBAIJ      *a   = (Mat_MPISBAIJ *)A->data;
  PetscInt           mbs = a->mbs, bs = A->rmap->bs;
  PetscScalar       *from;
  const PetscScalar *x;

  PetscFunctionBegin;
  /* diagonal part */
  PetscCall((*a->A->ops->multadd)(a->A, xx, yy, a->slvec1a));
  PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b));
  PetscCall(VecZeroEntries(a->slvec1b));

  /* subdiagonal part */
  PetscCheck(a->B->ops->multhermitiantranspose, PetscObjectComm((PetscObject)a->B), PETSC_ERR_SUP, "Not for type %s", ((PetscObject)a->B)->type_name);
  PetscCall((*a->B->ops->multhermitiantranspose)(a->B, xx, a->slvec0b));

  /* copy x into the vec slvec0 */
  PetscCall(VecGetArray(a->slvec0, &from));
  PetscCall(VecGetArrayRead(xx, &x));
  PetscCall(PetscArraycpy(from, x, bs * mbs));
  PetscCall(VecRestoreArray(a->slvec0, &from));

  PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  PetscCall(VecRestoreArrayRead(xx, &x));
  PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));

  /* supperdiagonal part */
  PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, zz));
  PetscFunctionReturn(PETSC_SUCCESS);
}
#endif

static PetscErrorCode MatMultAdd_MPISBAIJ(Mat A, Vec xx, Vec yy, Vec zz)
{
  Mat_MPISBAIJ      *a   = (Mat_MPISBAIJ *)A->data;
  PetscInt           mbs = a->mbs, bs = A->rmap->bs;
  PetscScalar       *from;
  const PetscScalar *x;

  PetscFunctionBegin;
  /* diagonal part */
  PetscCall((*a->A->ops->multadd)(a->A, xx, yy, a->slvec1a));
  PetscCall(PetscObjectStateIncrease((PetscObject)a->slvec1b));
  PetscCall(VecZeroEntries(a->slvec1b));

  /* subdiagonal part */
  PetscCall((*a->B->ops->multtranspose)(a->B, xx, a->slvec0b));

  /* copy x into the vec slvec0 */
  PetscCall(VecGetArray(a->slvec0, &from));
  PetscCall(VecGetArrayRead(xx, &x));
  PetscCall(PetscArraycpy(from, x, bs * mbs));
  PetscCall(VecRestoreArray(a->slvec0, &from));

  PetscCall(VecScatterBegin(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));
  PetscCall(VecRestoreArrayRead(xx, &x));
  PetscCall(VecScatterEnd(a->sMvctx, a->slvec0, a->slvec1, ADD_VALUES, SCATTER_FORWARD));

  /* supperdiagonal part */
  PetscCall((*a->B->ops->multadd)(a->B, a->slvec1b, a->slvec1a, zz));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*
  This only works correctly for square matrices where the subblock A->A is the
   diagonal block
*/
static PetscErrorCode MatGetDiagonal_MPISBAIJ(Mat A, Vec v)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  /* PetscCheck(a->rmap->N == a->cmap->N,PETSC_COMM_SELF,PETSC_ERR_SUP,"Supports only square matrix where A->A is diag block"); */
  PetscCall(MatGetDiagonal(a->A, v));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatScale_MPISBAIJ(Mat A, PetscScalar aa)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatScale(a->A, aa));
  PetscCall(MatScale(a->B, aa));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetRow_MPISBAIJ(Mat matin, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v)
{
  Mat_MPISBAIJ *mat = (Mat_MPISBAIJ *)matin->data;
  PetscScalar  *vworkA, *vworkB, **pvA, **pvB, *v_p;
  PetscInt      bs = matin->rmap->bs, bs2 = mat->bs2, i, *cworkA, *cworkB, **pcA, **pcB;
  PetscInt      nztot, nzA, nzB, lrow, brstart = matin->rmap->rstart, brend = matin->rmap->rend;
  PetscInt     *cmap, *idx_p, cstart = mat->rstartbs;

  PetscFunctionBegin;
  PetscCheck(!mat->getrowactive, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Already active");
  mat->getrowactive = PETSC_TRUE;

  if (!mat->rowvalues && (idx || v)) {
    /*
        allocate enough space to hold information from the longest row.
    */
    Mat_SeqSBAIJ *Aa  = (Mat_SeqSBAIJ *)mat->A->data;
    Mat_SeqBAIJ  *Ba  = (Mat_SeqBAIJ *)mat->B->data;
    PetscInt      max = 1, mbs = mat->mbs, tmp;
    for (i = 0; i < mbs; i++) {
      tmp = Aa->i[i + 1] - Aa->i[i] + Ba->i[i + 1] - Ba->i[i]; /* row length */
      if (max < tmp) max = tmp;
    }
    PetscCall(PetscMalloc2(max * bs2, &mat->rowvalues, max * bs2, &mat->rowindices));
  }

  PetscCheck(row >= brstart && row < brend, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only local rows");
  lrow = row - brstart; /* local row index */

  pvA = &vworkA;
  pcA = &cworkA;
  pvB = &vworkB;
  pcB = &cworkB;
  if (!v) {
    pvA = NULL;
    pvB = NULL;
  }
  if (!idx) {
    pcA = NULL;
    if (!v) pcB = NULL;
  }
  PetscCall((*mat->A->ops->getrow)(mat->A, lrow, &nzA, pcA, pvA));
  PetscCall((*mat->B->ops->getrow)(mat->B, lrow, &nzB, pcB, pvB));
  nztot = nzA + nzB;

  cmap = mat->garray;
  if (v || idx) {
    if (nztot) {
      /* Sort by increasing column numbers, assuming A and B already sorted */
      PetscInt imark = -1;
      if (v) {
        *v = v_p = mat->rowvalues;
        for (i = 0; i < nzB; i++) {
          if (cmap[cworkB[i] / bs] < cstart) v_p[i] = vworkB[i];
          else break;
        }
        imark = i;
        for (i = 0; i < nzA; i++) v_p[imark + i] = vworkA[i];
        for (i = imark; i < nzB; i++) v_p[nzA + i] = vworkB[i];
      }
      if (idx) {
        *idx = idx_p = mat->rowindices;
        if (imark > -1) {
          for (i = 0; i < imark; i++) idx_p[i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs;
        } else {
          for (i = 0; i < nzB; i++) {
            if (cmap[cworkB[i] / bs] < cstart) idx_p[i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs;
            else break;
          }
          imark = i;
        }
        for (i = 0; i < nzA; i++) idx_p[imark + i] = cstart * bs + cworkA[i];
        for (i = imark; i < nzB; i++) idx_p[nzA + i] = cmap[cworkB[i] / bs] * bs + cworkB[i] % bs;
      }
    } else {
      if (idx) *idx = NULL;
      if (v) *v = NULL;
    }
  }
  *nz = nztot;
  PetscCall((*mat->A->ops->restorerow)(mat->A, lrow, &nzA, pcA, pvA));
  PetscCall((*mat->B->ops->restorerow)(mat->B, lrow, &nzB, pcB, pvB));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatRestoreRow_MPISBAIJ(Mat mat, PetscInt row, PetscInt *nz, PetscInt **idx, PetscScalar **v)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;

  PetscFunctionBegin;
  PetscCheck(baij->getrowactive, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "MatGetRow() must be called first");
  baij->getrowactive = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetRowUpperTriangular_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *a  = (Mat_MPISBAIJ *)A->data;
  Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data;

  PetscFunctionBegin;
  aA->getrow_utriangular = PETSC_TRUE;
  PetscFunctionReturn(PETSC_SUCCESS);
}
static PetscErrorCode MatRestoreRowUpperTriangular_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *a  = (Mat_MPISBAIJ *)A->data;
  Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data;

  PetscFunctionBegin;
  aA->getrow_utriangular = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatConjugate_MPISBAIJ(Mat mat)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)mat->data;

  PetscFunctionBegin;
  PetscCall(MatConjugate(a->A));
  PetscCall(MatConjugate(a->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatRealPart_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatRealPart(a->A));
  PetscCall(MatRealPart(a->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatImaginaryPart_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatImaginaryPart(a->A));
  PetscCall(MatImaginaryPart(a->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* Check if isrow is a subset of iscol_local, called by MatCreateSubMatrix_MPISBAIJ()
   Input: isrow       - distributed(parallel),
          iscol_local - locally owned (seq)
*/
static PetscErrorCode ISEqual_private(IS isrow, IS iscol_local, PetscBool *flg)
{
  PetscInt        sz1, sz2, *a1, *a2, i, j, k, nmatch;
  const PetscInt *ptr1, *ptr2;

  PetscFunctionBegin;
  *flg = PETSC_FALSE;
  PetscCall(ISGetLocalSize(isrow, &sz1));
  PetscCall(ISGetLocalSize(iscol_local, &sz2));
  if (sz1 > sz2) PetscFunctionReturn(PETSC_SUCCESS);

  PetscCall(ISGetIndices(isrow, &ptr1));
  PetscCall(ISGetIndices(iscol_local, &ptr2));

  PetscCall(PetscMalloc1(sz1, &a1));
  PetscCall(PetscMalloc1(sz2, &a2));
  PetscCall(PetscArraycpy(a1, ptr1, sz1));
  PetscCall(PetscArraycpy(a2, ptr2, sz2));
  PetscCall(PetscSortInt(sz1, a1));
  PetscCall(PetscSortInt(sz2, a2));

  nmatch = 0;
  k      = 0;
  for (i = 0; i < sz1; i++) {
    for (j = k; j < sz2; j++) {
      if (a1[i] == a2[j]) {
        k = j;
        nmatch++;
        break;
      }
    }
  }
  PetscCall(ISRestoreIndices(isrow, &ptr1));
  PetscCall(ISRestoreIndices(iscol_local, &ptr2));
  PetscCall(PetscFree(a1));
  PetscCall(PetscFree(a2));
  if (nmatch < sz1) {
    *flg = PETSC_FALSE;
  } else {
    *flg = PETSC_TRUE;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatCreateSubMatrix_MPISBAIJ(Mat mat, IS isrow, IS iscol, MatReuse call, Mat *newmat)
{
  Mat       C[2];
  IS        iscol_local, isrow_local;
  PetscInt  csize, csize_local, rsize;
  PetscBool isequal, issorted, isidentity = PETSC_FALSE;

  PetscFunctionBegin;
  PetscCall(ISGetLocalSize(iscol, &csize));
  PetscCall(ISGetLocalSize(isrow, &rsize));
  if (call == MAT_REUSE_MATRIX) {
    PetscCall(PetscObjectQuery((PetscObject)*newmat, "ISAllGather", (PetscObject *)&iscol_local));
    PetscCheck(iscol_local, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Submatrix passed in was not used before, cannot reuse");
  } else {
    PetscCall(ISAllGather(iscol, &iscol_local));
    PetscCall(ISSorted(iscol_local, &issorted));
    PetscCheck(issorted, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "For symmetric format, iscol must be sorted");
  }
  PetscCall(ISEqual_private(isrow, iscol_local, &isequal));
  if (!isequal) {
    PetscCall(ISGetLocalSize(iscol_local, &csize_local));
    isidentity = (PetscBool)(mat->cmap->N == csize_local);
    if (!isidentity) {
      if (call == MAT_REUSE_MATRIX) {
        PetscCall(PetscObjectQuery((PetscObject)*newmat, "ISAllGather_other", (PetscObject *)&isrow_local));
        PetscCheck(isrow_local, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONGSTATE, "Submatrix passed in was not used before, cannot reuse");
      } else {
        PetscCall(ISAllGather(isrow, &isrow_local));
        PetscCall(ISSorted(isrow_local, &issorted));
        PetscCheck(issorted, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "For symmetric format, isrow must be sorted");
      }
    }
  }
  /* now call MatCreateSubMatrix_MPIBAIJ() */
  PetscCall(MatCreateSubMatrix_MPIBAIJ_Private(mat, isrow, iscol_local, csize, isequal || isidentity ? call : MAT_INITIAL_MATRIX, isequal || isidentity ? newmat : C, (PetscBool)(isequal || isidentity)));
  if (!isequal && !isidentity) {
    if (call == MAT_INITIAL_MATRIX) {
      IS       intersect;
      PetscInt ni;

      PetscCall(ISIntersect(isrow_local, iscol_local, &intersect));
      PetscCall(ISGetLocalSize(intersect, &ni));
      PetscCall(ISDestroy(&intersect));
      PetscCheck(ni == 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Cannot create such a submatrix: for symmetric format, when requesting an off-diagonal submatrix, isrow and iscol should have an empty intersection (number of common indices is %" PetscInt_FMT ")", ni);
    }
    PetscCall(MatCreateSubMatrix_MPIBAIJ_Private(mat, iscol, isrow_local, rsize, MAT_INITIAL_MATRIX, C + 1, PETSC_FALSE));
    PetscCall(MatTranspose(C[1], MAT_INPLACE_MATRIX, C + 1));
    PetscCall(MatAXPY(C[0], 1.0, C[1], DIFFERENT_NONZERO_PATTERN));
    if (call == MAT_REUSE_MATRIX) PetscCall(MatCopy(C[0], *newmat, SAME_NONZERO_PATTERN));
    else if (mat->rmap->bs == 1) PetscCall(MatConvert(C[0], MATAIJ, MAT_INITIAL_MATRIX, newmat));
    else PetscCall(MatCopy(C[0], *newmat, SAME_NONZERO_PATTERN));
    PetscCall(MatDestroy(C));
    PetscCall(MatDestroy(C + 1));
  }
  if (call == MAT_INITIAL_MATRIX) {
    if (!isequal && !isidentity) {
      PetscCall(PetscObjectCompose((PetscObject)*newmat, "ISAllGather_other", (PetscObject)isrow_local));
      PetscCall(ISDestroy(&isrow_local));
    }
    PetscCall(PetscObjectCompose((PetscObject)*newmat, "ISAllGather", (PetscObject)iscol_local));
    PetscCall(ISDestroy(&iscol_local));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatZeroEntries_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *l = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatZeroEntries(l->A));
  PetscCall(MatZeroEntries(l->B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetInfo_MPISBAIJ(Mat matin, MatInfoType flag, MatInfo *info)
{
  Mat_MPISBAIJ  *a = (Mat_MPISBAIJ *)matin->data;
  Mat            A = a->A, B = a->B;
  PetscLogDouble isend[5], irecv[5];

  PetscFunctionBegin;
  info->block_size = (PetscReal)matin->rmap->bs;

  PetscCall(MatGetInfo(A, MAT_LOCAL, info));

  isend[0] = info->nz_used;
  isend[1] = info->nz_allocated;
  isend[2] = info->nz_unneeded;
  isend[3] = info->memory;
  isend[4] = info->mallocs;

  PetscCall(MatGetInfo(B, MAT_LOCAL, info));

  isend[0] += info->nz_used;
  isend[1] += info->nz_allocated;
  isend[2] += info->nz_unneeded;
  isend[3] += info->memory;
  isend[4] += info->mallocs;
  if (flag == MAT_LOCAL) {
    info->nz_used      = isend[0];
    info->nz_allocated = isend[1];
    info->nz_unneeded  = isend[2];
    info->memory       = isend[3];
    info->mallocs      = isend[4];
  } else if (flag == MAT_GLOBAL_MAX) {
    PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_MAX, PetscObjectComm((PetscObject)matin)));

    info->nz_used      = irecv[0];
    info->nz_allocated = irecv[1];
    info->nz_unneeded  = irecv[2];
    info->memory       = irecv[3];
    info->mallocs      = irecv[4];
  } else if (flag == MAT_GLOBAL_SUM) {
    PetscCallMPI(MPIU_Allreduce(isend, irecv, 5, MPIU_PETSCLOGDOUBLE, MPI_SUM, PetscObjectComm((PetscObject)matin)));

    info->nz_used      = irecv[0];
    info->nz_allocated = irecv[1];
    info->nz_unneeded  = irecv[2];
    info->memory       = irecv[3];
    info->mallocs      = irecv[4];
  } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Unknown MatInfoType argument %d", (int)flag);
  info->fill_ratio_given  = 0; /* no parallel LU/ILU/Cholesky */
  info->fill_ratio_needed = 0;
  info->factor_mallocs    = 0;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSetOption_MPISBAIJ(Mat A, MatOption op, PetscBool flg)
{
  Mat_MPISBAIJ *a  = (Mat_MPISBAIJ *)A->data;
  Mat_SeqSBAIJ *aA = (Mat_SeqSBAIJ *)a->A->data;

  PetscFunctionBegin;
  switch (op) {
  case MAT_NEW_NONZERO_LOCATIONS:
  case MAT_NEW_NONZERO_ALLOCATION_ERR:
  case MAT_UNUSED_NONZERO_LOCATION_ERR:
  case MAT_KEEP_NONZERO_PATTERN:
  case MAT_NEW_NONZERO_LOCATION_ERR:
    MatCheckPreallocated(A, 1);
    PetscCall(MatSetOption(a->A, op, flg));
    PetscCall(MatSetOption(a->B, op, flg));
    break;
  case MAT_ROW_ORIENTED:
    MatCheckPreallocated(A, 1);
    a->roworiented = flg;

    PetscCall(MatSetOption(a->A, op, flg));
    PetscCall(MatSetOption(a->B, op, flg));
    break;
  case MAT_IGNORE_OFF_PROC_ENTRIES:
    a->donotstash = flg;
    break;
  case MAT_USE_HASH_TABLE:
    a->ht_flag = flg;
    break;
  case MAT_HERMITIAN:
    if (a->A && A->rmap->n == A->cmap->n) PetscCall(MatSetOption(a->A, op, flg));
#if defined(PETSC_USE_COMPLEX)
    if (flg) { /* need different mat-vec ops */
      A->ops->mult             = MatMult_MPISBAIJ_Hermitian;
      A->ops->multadd          = MatMultAdd_MPISBAIJ_Hermitian;
      A->ops->multtranspose    = NULL;
      A->ops->multtransposeadd = NULL;
    }
#endif
    break;
  case MAT_SPD:
  case MAT_SYMMETRIC:
    if (a->A && A->rmap->n == A->cmap->n) PetscCall(MatSetOption(a->A, op, flg));
#if defined(PETSC_USE_COMPLEX)
    if (flg) { /* restore to use default mat-vec ops */
      A->ops->mult             = MatMult_MPISBAIJ;
      A->ops->multadd          = MatMultAdd_MPISBAIJ;
      A->ops->multtranspose    = MatMult_MPISBAIJ;
      A->ops->multtransposeadd = MatMultAdd_MPISBAIJ;
    }
#endif
    break;
  case MAT_STRUCTURALLY_SYMMETRIC:
    if (a->A && A->rmap->n == A->cmap->n) PetscCall(MatSetOption(a->A, op, flg));
    break;
  case MAT_IGNORE_LOWER_TRIANGULAR:
  case MAT_ERROR_LOWER_TRIANGULAR:
    aA->ignore_ltriangular = flg;
    break;
  case MAT_GETROW_UPPERTRIANGULAR:
    aA->getrow_utriangular = flg;
    break;
  default:
    break;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatTranspose_MPISBAIJ(Mat A, MatReuse reuse, Mat *B)
{
  PetscFunctionBegin;
  if (reuse == MAT_REUSE_MATRIX) PetscCall(MatTransposeCheckNonzeroState_Private(A, *B));
  if (reuse == MAT_INITIAL_MATRIX) {
    PetscCall(MatDuplicate(A, MAT_COPY_VALUES, B));
  } else if (reuse == MAT_REUSE_MATRIX) {
    PetscCall(MatCopy(A, *B, SAME_NONZERO_PATTERN));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatDiagonalScale_MPISBAIJ(Mat mat, Vec ll, Vec rr)
{
  Mat_MPISBAIJ *baij = (Mat_MPISBAIJ *)mat->data;
  Mat           a = baij->A, b = baij->B;
  PetscInt      nv, m, n;

  PetscFunctionBegin;
  if (!ll) PetscFunctionReturn(PETSC_SUCCESS);

  PetscCall(MatGetLocalSize(mat, &m, &n));
  PetscCheck(m == n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "For symmetric format, local size %" PetscInt_FMT " %" PetscInt_FMT " must be same", m, n);

  PetscCall(VecGetLocalSize(rr, &nv));
  PetscCheck(nv == n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Left and right vector non-conforming local size");

  PetscCall(VecScatterBegin(baij->Mvctx, rr, baij->lvec, INSERT_VALUES, SCATTER_FORWARD));

  /* left diagonalscale the off-diagonal part */
  PetscUseTypeMethod(b, diagonalscale, ll, NULL);

  /* scale the diagonal part */
  PetscUseTypeMethod(a, diagonalscale, ll, rr);

  /* right diagonalscale the off-diagonal part */
  PetscCall(VecScatterEnd(baij->Mvctx, rr, baij->lvec, INSERT_VALUES, SCATTER_FORWARD));
  PetscUseTypeMethod(b, diagonalscale, NULL, baij->lvec);
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSetUnfactored_MPISBAIJ(Mat A)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatSetUnfactored(a->A));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatDuplicate_MPISBAIJ(Mat, MatDuplicateOption, Mat *);

static PetscErrorCode MatEqual_MPISBAIJ(Mat A, Mat B, PetscBool *flag)
{
  Mat_MPISBAIJ *matB = (Mat_MPISBAIJ *)B->data, *matA = (Mat_MPISBAIJ *)A->data;
  Mat           a, b, c, d;
  PetscBool     flg;

  PetscFunctionBegin;
  a = matA->A;
  b = matA->B;
  c = matB->A;
  d = matB->B;

  PetscCall(MatEqual(a, c, &flg));
  if (flg) PetscCall(MatEqual(b, d, &flg));
  PetscCallMPI(MPIU_Allreduce(&flg, flag, 1, MPI_C_BOOL, MPI_LAND, PetscObjectComm((PetscObject)A)));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatCopy_MPISBAIJ(Mat A, Mat B, MatStructure str)
{
  PetscBool isbaij;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompareAny((PetscObject)B, &isbaij, MATSEQSBAIJ, MATMPISBAIJ, ""));
  PetscCheck(isbaij, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "Not for matrix type %s", ((PetscObject)B)->type_name);
  /* If the two matrices don't have the same copy implementation, they aren't compatible for fast copy. */
  if ((str != SAME_NONZERO_PATTERN) || (A->ops->copy != B->ops->copy)) {
    PetscCall(MatGetRowUpperTriangular(A));
    PetscCall(MatCopy_Basic(A, B, str));
    PetscCall(MatRestoreRowUpperTriangular(A));
  } else {
    Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;
    Mat_MPISBAIJ *b = (Mat_MPISBAIJ *)B->data;

    PetscCall(MatCopy(a->A, b->A, str));
    PetscCall(MatCopy(a->B, b->B, str));
  }
  PetscCall(PetscObjectStateIncrease((PetscObject)B));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatAXPY_MPISBAIJ(Mat Y, PetscScalar a, Mat X, MatStructure str)
{
  Mat_MPISBAIJ *xx = (Mat_MPISBAIJ *)X->data, *yy = (Mat_MPISBAIJ *)Y->data;
  PetscBLASInt  bnz, one                          = 1;
  Mat_SeqSBAIJ *xa, *ya;
  Mat_SeqBAIJ  *xb, *yb;

  PetscFunctionBegin;
  if (str == SAME_NONZERO_PATTERN) {
    PetscScalar alpha = a;
    xa                = (Mat_SeqSBAIJ *)xx->A->data;
    ya                = (Mat_SeqSBAIJ *)yy->A->data;
    PetscCall(PetscBLASIntCast(xa->nz, &bnz));
    PetscCallBLAS("BLASaxpy", BLASaxpy_(&bnz, &alpha, xa->a, &one, ya->a, &one));
    xb = (Mat_SeqBAIJ *)xx->B->data;
    yb = (Mat_SeqBAIJ *)yy->B->data;
    PetscCall(PetscBLASIntCast(xb->nz, &bnz));
    PetscCallBLAS("BLASaxpy", BLASaxpy_(&bnz, &alpha, xb->a, &one, yb->a, &one));
    PetscCall(PetscObjectStateIncrease((PetscObject)Y));
  } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */
    PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE));
    PetscCall(MatAXPY_Basic(Y, a, X, str));
    PetscCall(MatSetOption(X, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE));
  } else {
    Mat       B;
    PetscInt *nnz_d, *nnz_o, bs = Y->rmap->bs;
    PetscCheck(bs == X->rmap->bs, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrices must have same block size");
    PetscCall(MatGetRowUpperTriangular(X));
    PetscCall(MatGetRowUpperTriangular(Y));
    PetscCall(PetscMalloc1(yy->A->rmap->N, &nnz_d));
    PetscCall(PetscMalloc1(yy->B->rmap->N, &nnz_o));
    PetscCall(MatCreate(PetscObjectComm((PetscObject)Y), &B));
    PetscCall(PetscObjectSetName((PetscObject)B, ((PetscObject)Y)->name));
    PetscCall(MatSetSizes(B, Y->rmap->n, Y->cmap->n, Y->rmap->N, Y->cmap->N));
    PetscCall(MatSetBlockSizesFromMats(B, Y, Y));
    PetscCall(MatSetType(B, MATMPISBAIJ));
    PetscCall(MatAXPYGetPreallocation_SeqSBAIJ(yy->A, xx->A, nnz_d));
    PetscCall(MatAXPYGetPreallocation_MPIBAIJ(yy->B, yy->garray, xx->B, xx->garray, nnz_o));
    PetscCall(MatMPISBAIJSetPreallocation(B, bs, 0, nnz_d, 0, nnz_o));
    PetscCall(MatAXPY_BasicWithPreallocation(B, Y, a, X, str));
    PetscCall(MatHeaderMerge(Y, &B));
    PetscCall(PetscFree(nnz_d));
    PetscCall(PetscFree(nnz_o));
    PetscCall(MatRestoreRowUpperTriangular(X));
    PetscCall(MatRestoreRowUpperTriangular(Y));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatCreateSubMatrices_MPISBAIJ(Mat A, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *B[])
{
  PetscInt  i;
  PetscBool flg;

  PetscFunctionBegin;
  PetscCall(MatCreateSubMatrices_MPIBAIJ(A, n, irow, icol, scall, B)); /* B[] are sbaij matrices */
  for (i = 0; i < n; i++) {
    PetscCall(ISEqual(irow[i], icol[i], &flg));
    if (!flg) PetscCall(MatSeqSBAIJZeroOps_Private(*B[i]));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatShift_MPISBAIJ(Mat Y, PetscScalar a)
{
  Mat_MPISBAIJ *maij = (Mat_MPISBAIJ *)Y->data;
  Mat_SeqSBAIJ *aij  = (Mat_SeqSBAIJ *)maij->A->data;

  PetscFunctionBegin;
  if (!Y->preallocated) {
    PetscCall(MatMPISBAIJSetPreallocation(Y, Y->rmap->bs, 1, NULL, 0, NULL));
  } else if (!aij->nz) {
    PetscInt nonew = aij->nonew;
    PetscCall(MatSeqSBAIJSetPreallocation(maij->A, Y->rmap->bs, 1, NULL));
    aij->nonew = nonew;
  }
  PetscCall(MatShift_Basic(Y, a));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetDiagonalBlock_MPISBAIJ(Mat A, Mat *a)
{
  PetscFunctionBegin;
  *a = ((Mat_MPISBAIJ *)A->data)->A;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatEliminateZeros_MPISBAIJ(Mat A, PetscBool keep)
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;

  PetscFunctionBegin;
  PetscCall(MatEliminateZeros_SeqSBAIJ(a->A, keep));       // possibly keep zero diagonal coefficients
  PetscCall(MatEliminateZeros_SeqBAIJ(a->B, PETSC_FALSE)); // never keep zero diagonal coefficients
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatLoad_MPISBAIJ(Mat, PetscViewer);
static PetscErrorCode MatGetRowMaxAbs_MPISBAIJ(Mat, Vec, PetscInt[]);
static PetscErrorCode MatSOR_MPISBAIJ(Mat, Vec, PetscReal, MatSORType, PetscReal, PetscInt, PetscInt, Vec);

static struct _MatOps MatOps_Values = {MatSetValues_MPISBAIJ,
                                       MatGetRow_MPISBAIJ,
                                       MatRestoreRow_MPISBAIJ,
                                       MatMult_MPISBAIJ,
                                       /*  4*/ MatMultAdd_MPISBAIJ,
                                       MatMult_MPISBAIJ, /* transpose versions are same as non-transpose */
                                       MatMultAdd_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 10*/ NULL,
                                       NULL,
                                       NULL,
                                       MatSOR_MPISBAIJ,
                                       MatTranspose_MPISBAIJ,
                                       /* 15*/ MatGetInfo_MPISBAIJ,
                                       MatEqual_MPISBAIJ,
                                       MatGetDiagonal_MPISBAIJ,
                                       MatDiagonalScale_MPISBAIJ,
                                       MatNorm_MPISBAIJ,
                                       /* 20*/ MatAssemblyBegin_MPISBAIJ,
                                       MatAssemblyEnd_MPISBAIJ,
                                       MatSetOption_MPISBAIJ,
                                       MatZeroEntries_MPISBAIJ,
                                       /* 24*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 29*/ MatSetUp_MPI_Hash,
                                       NULL,
                                       NULL,
                                       MatGetDiagonalBlock_MPISBAIJ,
                                       NULL,
                                       /* 34*/ MatDuplicate_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 39*/ MatAXPY_MPISBAIJ,
                                       MatCreateSubMatrices_MPISBAIJ,
                                       MatIncreaseOverlap_MPISBAIJ,
                                       MatGetValues_MPISBAIJ,
                                       MatCopy_MPISBAIJ,
                                       /* 44*/ NULL,
                                       MatScale_MPISBAIJ,
                                       MatShift_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       /* 49*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 54*/ NULL,
                                       NULL,
                                       MatSetUnfactored_MPISBAIJ,
                                       NULL,
                                       MatSetValuesBlocked_MPISBAIJ,
                                       /* 59*/ MatCreateSubMatrix_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 64*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       MatGetRowMaxAbs_MPISBAIJ,
                                       /* 69*/ NULL,
                                       MatConvert_MPISBAIJ_Basic,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       MatLoad_MPISBAIJ,
                                       /* 79*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 84*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 89*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       MatConjugate_MPISBAIJ,
                                       /* 94*/ NULL,
                                       NULL,
                                       MatRealPart_MPISBAIJ,
                                       MatImaginaryPart_MPISBAIJ,
                                       MatGetRowUpperTriangular_MPISBAIJ,
                                       /* 99*/ MatRestoreRowUpperTriangular_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*104*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*109*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*114*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*119*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*124*/ NULL,
                                       NULL,
                                       MatSetBlockSizes_Default,
                                       NULL,
                                       NULL,
                                       /*129*/ NULL,
                                       MatCreateMPIMatConcatenateSeqMat_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*134*/ NULL,
                                       NULL,
                                       MatEliminateZeros_MPISBAIJ,
                                       NULL,
                                       NULL,
                                       /*139*/ NULL,
                                       NULL,
                                       MatCopyHashToXAIJ_MPI_Hash,
                                       NULL,
                                       NULL};

static PetscErrorCode MatMPISBAIJSetPreallocation_MPISBAIJ(Mat B, PetscInt bs, PetscInt d_nz, const PetscInt *d_nnz, PetscInt o_nz, const PetscInt *o_nnz)
{
  Mat_MPISBAIJ *b = (Mat_MPISBAIJ *)B->data;
  PetscInt      i, mbs, Mbs;
  PetscMPIInt   size;

  PetscFunctionBegin;
  if (B->hash_active) {
    B->ops[0]      = b->cops;
    B->hash_active = PETSC_FALSE;
  }
  if (!B->preallocated) PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)B), bs, &B->bstash));
  PetscCall(MatSetBlockSize(B, bs));
  PetscCall(PetscLayoutSetUp(B->rmap));
  PetscCall(PetscLayoutSetUp(B->cmap));
  PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs));
  PetscCheck(B->rmap->N <= B->cmap->N, PetscObjectComm((PetscObject)B), PETSC_ERR_SUP, "MPISBAIJ matrix cannot have more rows %" PetscInt_FMT " than columns %" PetscInt_FMT, B->rmap->N, B->cmap->N);
  PetscCheck(B->rmap->n <= B->cmap->n, PETSC_COMM_SELF, PETSC_ERR_SUP, "MPISBAIJ matrix cannot have more local rows %" PetscInt_FMT " than columns %" PetscInt_FMT, B->rmap->n, B->cmap->n);

  mbs = B->rmap->n / bs;
  Mbs = B->rmap->N / bs;
  PetscCheck(mbs * bs == B->rmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "No of local rows %" PetscInt_FMT " must be divisible by blocksize %" PetscInt_FMT, B->rmap->N, bs);

  B->rmap->bs = bs;
  b->bs2      = bs * bs;
  b->mbs      = mbs;
  b->Mbs      = Mbs;
  b->nbs      = B->cmap->n / bs;
  b->Nbs      = B->cmap->N / bs;

  for (i = 0; i <= b->size; i++) b->rangebs[i] = B->rmap->range[i] / bs;
  b->rstartbs = B->rmap->rstart / bs;
  b->rendbs   = B->rmap->rend / bs;

  b->cstartbs = B->cmap->rstart / bs;
  b->cendbs   = B->cmap->rend / bs;

#if defined(PETSC_USE_CTABLE)
  PetscCall(PetscHMapIDestroy(&b->colmap));
#else
  PetscCall(PetscFree(b->colmap));
#endif
  PetscCall(PetscFree(b->garray));
  PetscCall(VecDestroy(&b->lvec));
  PetscCall(VecScatterDestroy(&b->Mvctx));
  PetscCall(VecDestroy(&b->slvec0));
  PetscCall(VecDestroy(&b->slvec0b));
  PetscCall(VecDestroy(&b->slvec1));
  PetscCall(VecDestroy(&b->slvec1a));
  PetscCall(VecDestroy(&b->slvec1b));
  PetscCall(VecScatterDestroy(&b->sMvctx));

  PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &size));

  MatSeqXAIJGetOptions_Private(b->B);
  PetscCall(MatDestroy(&b->B));
  PetscCall(MatCreate(PETSC_COMM_SELF, &b->B));
  PetscCall(MatSetSizes(b->B, B->rmap->n, size > 1 ? B->cmap->N : 0, B->rmap->n, size > 1 ? B->cmap->N : 0));
  PetscCall(MatSetType(b->B, MATSEQBAIJ));
  MatSeqXAIJRestoreOptions_Private(b->B);

  MatSeqXAIJGetOptions_Private(b->A);
  PetscCall(MatDestroy(&b->A));
  PetscCall(MatCreate(PETSC_COMM_SELF, &b->A));
  PetscCall(MatSetSizes(b->A, B->rmap->n, B->cmap->n, B->rmap->n, B->cmap->n));
  PetscCall(MatSetType(b->A, MATSEQSBAIJ));
  MatSeqXAIJRestoreOptions_Private(b->A);

  PetscCall(MatSeqSBAIJSetPreallocation(b->A, bs, d_nz, d_nnz));
  PetscCall(MatSeqBAIJSetPreallocation(b->B, bs, o_nz, o_nnz));

  B->preallocated  = PETSC_TRUE;
  B->was_assembled = PETSC_FALSE;
  B->assembled     = PETSC_FALSE;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMPISBAIJSetPreallocationCSR_MPISBAIJ(Mat B, PetscInt bs, const PetscInt ii[], const PetscInt jj[], const PetscScalar V[])
{
  PetscInt        m, rstart, cend;
  PetscInt        i, j, d, nz, bd, nz_max = 0, *d_nnz = NULL, *o_nnz = NULL;
  const PetscInt *JJ          = NULL;
  PetscScalar    *values      = NULL;
  PetscBool       roworiented = ((Mat_MPISBAIJ *)B->data)->roworiented;
  PetscBool       nooffprocentries;

  PetscFunctionBegin;
  PetscCheck(bs >= 1, PetscObjectComm((PetscObject)B), PETSC_ERR_ARG_OUTOFRANGE, "Invalid block size specified, must be positive but it is %" PetscInt_FMT, bs);
  PetscCall(PetscLayoutSetBlockSize(B->rmap, bs));
  PetscCall(PetscLayoutSetBlockSize(B->cmap, bs));
  PetscCall(PetscLayoutSetUp(B->rmap));
  PetscCall(PetscLayoutSetUp(B->cmap));
  PetscCall(PetscLayoutGetBlockSize(B->rmap, &bs));
  m      = B->rmap->n / bs;
  rstart = B->rmap->rstart / bs;
  cend   = B->cmap->rend / bs;

  PetscCheck(!ii[0], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "ii[0] must be 0 but it is %" PetscInt_FMT, ii[0]);
  PetscCall(PetscMalloc2(m, &d_nnz, m, &o_nnz));
  for (i = 0; i < m; i++) {
    nz = ii[i + 1] - ii[i];
    PetscCheck(nz >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Local row %" PetscInt_FMT " has a negative number of columns %" PetscInt_FMT, i, nz);
    /* count the ones on the diagonal and above, split into diagonal and off-diagonal portions. */
    JJ = jj + ii[i];
    bd = 0;
    for (j = 0; j < nz; j++) {
      if (*JJ >= i + rstart) break;
      JJ++;
      bd++;
    }
    d = 0;
    for (; j < nz; j++) {
      if (*JJ++ >= cend) break;
      d++;
    }
    d_nnz[i] = d;
    o_nnz[i] = nz - d - bd;
    nz       = nz - bd;
    nz_max   = PetscMax(nz_max, nz);
  }
  PetscCall(MatMPISBAIJSetPreallocation(B, bs, 0, d_nnz, 0, o_nnz));
  PetscCall(MatSetOption(B, MAT_IGNORE_LOWER_TRIANGULAR, PETSC_TRUE));
  PetscCall(PetscFree2(d_nnz, o_nnz));

  values = (PetscScalar *)V;
  if (!values) PetscCall(PetscCalloc1(bs * bs * nz_max, &values));
  for (i = 0; i < m; i++) {
    PetscInt        row   = i + rstart;
    PetscInt        ncols = ii[i + 1] - ii[i];
    const PetscInt *icols = jj + ii[i];
    if (bs == 1 || !roworiented) { /* block ordering matches the non-nested layout of MatSetValues so we can insert entire rows */
      const PetscScalar *svals = values + (V ? (bs * bs * ii[i]) : 0);
      PetscCall(MatSetValuesBlocked_MPISBAIJ(B, 1, &row, ncols, icols, svals, INSERT_VALUES));
    } else { /* block ordering does not match so we can only insert one block at a time. */
      PetscInt j;
      for (j = 0; j < ncols; j++) {
        const PetscScalar *svals = values + (V ? (bs * bs * (ii[i] + j)) : 0);
        PetscCall(MatSetValuesBlocked_MPISBAIJ(B, 1, &row, 1, &icols[j], svals, INSERT_VALUES));
      }
    }
  }

  if (!V) PetscCall(PetscFree(values));
  nooffprocentries    = B->nooffprocentries;
  B->nooffprocentries = PETSC_TRUE;
  PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY));
  B->nooffprocentries = nooffprocentries;

  PetscCall(MatSetOption(B, MAT_NEW_NONZERO_LOCATION_ERR, PETSC_TRUE));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
   MATMPISBAIJ - MATMPISBAIJ = "mpisbaij" - A matrix type to be used for distributed symmetric sparse block matrices,
   based on block compressed sparse row format.  Only the upper triangular portion of the "diagonal" portion of
   the matrix is stored.

   For complex numbers by default this matrix is symmetric, NOT Hermitian symmetric. To make it Hermitian symmetric you
   can call `MatSetOption`(`Mat`, `MAT_HERMITIAN`);

   Options Database Key:
. -mat_type mpisbaij - sets the matrix type to "mpisbaij" during a call to `MatSetFromOptions()`

   Level: beginner

   Note:
     The number of rows in the matrix must be less than or equal to the number of columns. Similarly the number of rows in the
     diagonal portion of the matrix of each process has to less than or equal the number of columns.

.seealso: [](ch_matrices), `Mat`, `MATSBAIJ`, `MATBAIJ`, `MatCreateBAIJ()`, `MATSEQSBAIJ`, `MatType`
M*/

PETSC_EXTERN PetscErrorCode MatCreate_MPISBAIJ(Mat B)
{
  Mat_MPISBAIJ *b;
  PetscBool     flg = PETSC_FALSE;

  PetscFunctionBegin;
  PetscCall(PetscNew(&b));
  B->data   = (void *)b;
  B->ops[0] = MatOps_Values;

  B->ops->destroy = MatDestroy_MPISBAIJ;
  B->ops->view    = MatView_MPISBAIJ;
  B->assembled    = PETSC_FALSE;
  B->insertmode   = NOT_SET_VALUES;

  PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)B), &b->rank));
  PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)B), &b->size));

  /* build local table of row and column ownerships */
  PetscCall(PetscMalloc1(b->size + 2, &b->rangebs));

  /* build cache for off array entries formed */
  PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)B), 1, &B->stash));

  b->donotstash  = PETSC_FALSE;
  b->colmap      = NULL;
  b->garray      = NULL;
  b->roworiented = PETSC_TRUE;

  /* stuff used in block assembly */
  b->barray = NULL;

  /* stuff used for matrix vector multiply */
  b->lvec    = NULL;
  b->Mvctx   = NULL;
  b->slvec0  = NULL;
  b->slvec0b = NULL;
  b->slvec1  = NULL;
  b->slvec1a = NULL;
  b->slvec1b = NULL;
  b->sMvctx  = NULL;

  /* stuff for MatGetRow() */
  b->rowindices   = NULL;
  b->rowvalues    = NULL;
  b->getrowactive = PETSC_FALSE;

  /* hash table stuff */
  b->ht           = NULL;
  b->hd           = NULL;
  b->ht_size      = 0;
  b->ht_flag      = PETSC_FALSE;
  b->ht_fact      = 0;
  b->ht_total_ct  = 0;
  b->ht_insert_ct = 0;

  /* stuff for MatCreateSubMatrices_MPIBAIJ_local() */
  b->ijonly = PETSC_FALSE;

  b->in_loc = NULL;
  b->v_loc  = NULL;
  b->n_loc  = 0;

  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatStoreValues_C", MatStoreValues_MPISBAIJ));
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatRetrieveValues_C", MatRetrieveValues_MPISBAIJ));
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMPISBAIJSetPreallocation_C", MatMPISBAIJSetPreallocation_MPISBAIJ));
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatMPISBAIJSetPreallocationCSR_C", MatMPISBAIJSetPreallocationCSR_MPISBAIJ));
#if defined(PETSC_HAVE_ELEMENTAL)
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_elemental_C", MatConvert_MPISBAIJ_Elemental));
#endif
#if defined(PETSC_HAVE_SCALAPACK) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE))
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_scalapack_C", MatConvert_SBAIJ_ScaLAPACK));
#endif
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_mpiaij_C", MatConvert_MPISBAIJ_Basic));
  PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpisbaij_mpibaij_C", MatConvert_MPISBAIJ_Basic));

  B->symmetric                   = PETSC_BOOL3_TRUE;
  B->structurally_symmetric      = PETSC_BOOL3_TRUE;
  B->symmetry_eternal            = PETSC_TRUE;
  B->structural_symmetry_eternal = PETSC_TRUE;
#if !defined(PETSC_USE_COMPLEX)
  B->hermitian = PETSC_BOOL3_TRUE;
#endif

  PetscCall(PetscObjectChangeTypeName((PetscObject)B, MATMPISBAIJ));
  PetscOptionsBegin(PetscObjectComm((PetscObject)B), NULL, "Options for loading MPISBAIJ matrix 1", "Mat");
  PetscCall(PetscOptionsBool("-mat_use_hash_table", "Use hash table to save memory in constructing matrix", "MatSetOption", flg, &flg, NULL));
  if (flg) {
    PetscReal fact = 1.39;
    PetscCall(MatSetOption(B, MAT_USE_HASH_TABLE, PETSC_TRUE));
    PetscCall(PetscOptionsReal("-mat_use_hash_table", "Use hash table factor", "MatMPIBAIJSetHashTableFactor", fact, &fact, NULL));
    if (fact <= 1.0) fact = 1.39;
    PetscCall(MatMPIBAIJSetHashTableFactor(B, fact));
    PetscCall(PetscInfo(B, "Hash table Factor used %5.2g\n", (double)fact));
  }
  PetscOptionsEnd();
  PetscFunctionReturn(PETSC_SUCCESS);
}

// PetscClangLinter pragma disable: -fdoc-section-header-unknown
/*MC
   MATSBAIJ - MATSBAIJ = "sbaij" - A matrix type to be used for symmetric block sparse matrices.

   This matrix type is identical to `MATSEQSBAIJ` when constructed with a single process communicator,
   and `MATMPISBAIJ` otherwise.

   Options Database Key:
. -mat_type sbaij - sets the matrix type to `MATSBAIJ` during a call to `MatSetFromOptions()`

  Level: beginner

.seealso: [](ch_matrices), `Mat`, `MATSEQSBAIJ`, `MATMPISBAIJ`, `MatCreateSBAIJ()`, `MATSEQSBAIJ`, `MATMPISBAIJ`
M*/

/*@
  MatMPISBAIJSetPreallocation - For good matrix assembly performance
  the user should preallocate the matrix storage by setting the parameters
  d_nz (or d_nnz) and o_nz (or o_nnz).  By setting these parameters accurately,
  performance can be increased by more than a factor of 50.

  Collective

  Input Parameters:
+ B     - the matrix
. bs    - size of block, the blocks are ALWAYS square. One can use MatSetBlockSizes() to set a different row and column blocksize but the row
          blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs()
. d_nz  - number of block nonzeros per block row in diagonal portion of local
          submatrix  (same for all local rows)
. d_nnz - array containing the number of block nonzeros in the various block rows
          in the upper triangular and diagonal part of the in diagonal portion of the local
          (possibly different for each block row) or `NULL`.  If you plan to factor the matrix you must leave room
          for the diagonal entry and set a value even if it is zero.
. o_nz  - number of block nonzeros per block row in the off-diagonal portion of local
          submatrix (same for all local rows).
- o_nnz - array containing the number of nonzeros in the various block rows of the
          off-diagonal portion of the local submatrix that is right of the diagonal
          (possibly different for each block row) or `NULL`.

  Options Database Keys:
+ -mat_no_unroll  - uses code that does not unroll the loops in the
                    block calculations (much slower)
- -mat_block_size - size of the blocks to use

  Level: intermediate

  Notes:

  If `PETSC_DECIDE` or `PETSC_DETERMINE` is used for a particular argument on one processor
  than it must be used on all processors that share the object for that argument.

  If the *_nnz parameter is given then the *_nz parameter is ignored

  Storage Information:
  For a square global matrix we define each processor's diagonal portion
  to be its local rows and the corresponding columns (a square submatrix);
  each processor's off-diagonal portion encompasses the remainder of the
  local matrix (a rectangular submatrix).

  The user can specify preallocated storage for the diagonal part of
  the local submatrix with either `d_nz` or `d_nnz` (not both).  Set
  `d_nz` = `PETSC_DEFAULT` and `d_nnz` = `NULL` for PETSc to control dynamic
  memory allocation.  Likewise, specify preallocated storage for the
  off-diagonal part of the local submatrix with `o_nz` or `o_nnz` (not both).

  You can call `MatGetInfo()` to get information on how effective the preallocation was;
  for example the fields mallocs,nz_allocated,nz_used,nz_unneeded;
  You can also run with the option `-info` and look for messages with the string
  malloc in them to see if additional memory allocation was needed.

  Consider a processor that owns rows 3, 4 and 5 of a parallel matrix. In
  the figure below we depict these three local rows and all columns (0-11).

.vb
           0 1 2 3 4 5 6 7 8 9 10 11
          --------------------------
   row 3  |. . . d d d o o o o  o  o
   row 4  |. . . d d d o o o o  o  o
   row 5  |. . . d d d o o o o  o  o
          --------------------------
.ve

  Thus, any entries in the d locations are stored in the d (diagonal)
  submatrix, and any entries in the o locations are stored in the
  o (off-diagonal) submatrix.  Note that the d matrix is stored in
  `MATSEQSBAIJ` format and the o submatrix in `MATSEQBAIJ` format.

  Now `d_nz` should indicate the number of block nonzeros per row in the upper triangular
  plus the diagonal part of the d matrix,
  and `o_nz` should indicate the number of block nonzeros per row in the o matrix

  In general, for PDE problems in which most nonzeros are near the diagonal,
  one expects `d_nz` >> `o_nz`.

.seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MATSBAIJ`, `MatCreate()`, `MatCreateSeqSBAIJ()`, `MatSetValues()`, `MatCreateBAIJ()`, `PetscSplitOwnership()`
@*/
PetscErrorCode MatMPISBAIJSetPreallocation(Mat B, PetscInt bs, PetscInt d_nz, const PetscInt d_nnz[], PetscInt o_nz, const PetscInt o_nnz[])
{
  PetscFunctionBegin;
  PetscValidHeaderSpecific(B, MAT_CLASSID, 1);
  PetscValidType(B, 1);
  PetscValidLogicalCollectiveInt(B, bs, 2);
  PetscTryMethod(B, "MatMPISBAIJSetPreallocation_C", (Mat, PetscInt, PetscInt, const PetscInt[], PetscInt, const PetscInt[]), (B, bs, d_nz, d_nnz, o_nz, o_nnz));
  PetscFunctionReturn(PETSC_SUCCESS);
}

// PetscClangLinter pragma disable: -fdoc-section-header-unknown
/*@
  MatCreateSBAIJ - Creates a sparse parallel matrix in symmetric block AIJ format, `MATSBAIJ`,
  (block compressed row).  For good matrix assembly performance
  the user should preallocate the matrix storage by setting the parameters
  `d_nz` (or `d_nnz`) and `o_nz` (or `o_nnz`).

  Collective

  Input Parameters:
+ comm  - MPI communicator
. bs    - size of block, the blocks are ALWAYS square. One can use `MatSetBlockSizes()` to set a different row and column blocksize but the row
          blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with `MatCreateVecs()`
. m     - number of local rows (or `PETSC_DECIDE` to have calculated if `M` is given)
          This value should be the same as the local size used in creating the
          y vector for the matrix-vector product y = Ax.
. n     - number of local columns (or `PETSC_DECIDE` to have calculated if `N` is given)
          This value should be the same as the local size used in creating the
          x vector for the matrix-vector product y = Ax.
. M     - number of global rows (or `PETSC_DETERMINE` to have calculated if `m` is given)
. N     - number of global columns (or `PETSC_DETERMINE` to have calculated if `n` is given)
. d_nz  - number of block nonzeros per block row in diagonal portion of local
          submatrix (same for all local rows)
. d_nnz - array containing the number of block nonzeros in the various block rows
          in the upper triangular portion of the in diagonal portion of the local
          (possibly different for each block block row) or `NULL`.
          If you plan to factor the matrix you must leave room for the diagonal entry and
          set its value even if it is zero.
. o_nz  - number of block nonzeros per block row in the off-diagonal portion of local
          submatrix (same for all local rows).
- o_nnz - array containing the number of nonzeros in the various block rows of the
          off-diagonal portion of the local submatrix (possibly different for
          each block row) or `NULL`.

  Output Parameter:
. A - the matrix

  Options Database Keys:
+ -mat_no_unroll  - uses code that does not unroll the loops in the
                    block calculations (much slower)
. -mat_block_size - size of the blocks to use
- -mat_mpi        - use the parallel matrix data structures even on one processor
                    (defaults to using SeqBAIJ format on one processor)

  Level: intermediate

  Notes:
  It is recommended that one use `MatCreateFromOptions()` or the `MatCreate()`, `MatSetType()` and/or `MatSetFromOptions()`,
  MatXXXXSetPreallocation() paradigm instead of this routine directly.
  [MatXXXXSetPreallocation() is, for example, `MatSeqAIJSetPreallocation()`]

  The number of rows and columns must be divisible by blocksize.
  This matrix type does not support complex Hermitian operation.

  The user MUST specify either the local or global matrix dimensions
  (possibly both).

  If `PETSC_DECIDE` or `PETSC_DETERMINE` is used for a particular argument on one processor
  than it must be used on all processors that share the object for that argument.

  If `m` and `n` are not `PETSC_DECIDE`, then the values determines the `PetscLayout` of the matrix and the ranges returned by
  `MatGetOwnershipRange()`,  `MatGetOwnershipRanges()`, `MatGetOwnershipRangeColumn()`, and `MatGetOwnershipRangesColumn()`.

  If the *_nnz parameter is given then the *_nz parameter is ignored

  Storage Information:
  For a square global matrix we define each processor's diagonal portion
  to be its local rows and the corresponding columns (a square submatrix);
  each processor's off-diagonal portion encompasses the remainder of the
  local matrix (a rectangular submatrix).

  The user can specify preallocated storage for the diagonal part of
  the local submatrix with either `d_nz` or `d_nnz` (not both). Set
  `d_nz` = `PETSC_DEFAULT` and `d_nnz` = `NULL` for PETSc to control dynamic
  memory allocation. Likewise, specify preallocated storage for the
  off-diagonal part of the local submatrix with `o_nz` or `o_nnz` (not both).

  Consider a processor that owns rows 3, 4 and 5 of a parallel matrix. In
  the figure below we depict these three local rows and all columns (0-11).

.vb
           0 1 2 3 4 5 6 7 8 9 10 11
          --------------------------
   row 3  |. . . d d d o o o o  o  o
   row 4  |. . . d d d o o o o  o  o
   row 5  |. . . d d d o o o o  o  o
          --------------------------
.ve

  Thus, any entries in the d locations are stored in the d (diagonal)
  submatrix, and any entries in the o locations are stored in the
  o (off-diagonal) submatrix. Note that the d matrix is stored in
  `MATSEQSBAIJ` format and the o submatrix in `MATSEQBAIJ` format.

  Now `d_nz` should indicate the number of block nonzeros per row in the upper triangular
  plus the diagonal part of the d matrix,
  and `o_nz` should indicate the number of block nonzeros per row in the o matrix.
  In general, for PDE problems in which most nonzeros are near the diagonal,
  one expects `d_nz` >> `o_nz`.

.seealso: [](ch_matrices), `Mat`, `MATSBAIJ`, `MatCreate()`, `MatCreateSeqSBAIJ()`, `MatSetValues()`, `MatCreateBAIJ()`,
          `MatGetOwnershipRange()`,  `MatGetOwnershipRanges()`, `MatGetOwnershipRangeColumn()`, `MatGetOwnershipRangesColumn()`, `PetscLayout`
@*/
PetscErrorCode MatCreateSBAIJ(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt d_nz, const PetscInt d_nnz[], PetscInt o_nz, const PetscInt o_nnz[], Mat *A)
{
  PetscMPIInt size;

  PetscFunctionBegin;
  PetscCall(MatCreate(comm, A));
  PetscCall(MatSetSizes(*A, m, n, M, N));
  PetscCallMPI(MPI_Comm_size(comm, &size));
  if (size > 1) {
    PetscCall(MatSetType(*A, MATMPISBAIJ));
    PetscCall(MatMPISBAIJSetPreallocation(*A, bs, d_nz, d_nnz, o_nz, o_nnz));
  } else {
    PetscCall(MatSetType(*A, MATSEQSBAIJ));
    PetscCall(MatSeqSBAIJSetPreallocation(*A, bs, d_nz, d_nnz));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatDuplicate_MPISBAIJ(Mat matin, MatDuplicateOption cpvalues, Mat *newmat)
{
  Mat           mat;
  Mat_MPISBAIJ *a, *oldmat = (Mat_MPISBAIJ *)matin->data;
  PetscInt      len = 0, nt, bs = matin->rmap->bs, mbs = oldmat->mbs;
  PetscScalar  *array;

  PetscFunctionBegin;
  *newmat = NULL;

  PetscCall(MatCreate(PetscObjectComm((PetscObject)matin), &mat));
  PetscCall(MatSetSizes(mat, matin->rmap->n, matin->cmap->n, matin->rmap->N, matin->cmap->N));
  PetscCall(MatSetType(mat, ((PetscObject)matin)->type_name));
  PetscCall(PetscLayoutReference(matin->rmap, &mat->rmap));
  PetscCall(PetscLayoutReference(matin->cmap, &mat->cmap));

  if (matin->hash_active) {
    PetscCall(MatSetUp(mat));
  } else {
    mat->factortype   = matin->factortype;
    mat->preallocated = PETSC_TRUE;
    mat->assembled    = PETSC_TRUE;
    mat->insertmode   = NOT_SET_VALUES;

    a      = (Mat_MPISBAIJ *)mat->data;
    a->bs2 = oldmat->bs2;
    a->mbs = oldmat->mbs;
    a->nbs = oldmat->nbs;
    a->Mbs = oldmat->Mbs;
    a->Nbs = oldmat->Nbs;

    a->size         = oldmat->size;
    a->rank         = oldmat->rank;
    a->donotstash   = oldmat->donotstash;
    a->roworiented  = oldmat->roworiented;
    a->rowindices   = NULL;
    a->rowvalues    = NULL;
    a->getrowactive = PETSC_FALSE;
    a->barray       = NULL;
    a->rstartbs     = oldmat->rstartbs;
    a->rendbs       = oldmat->rendbs;
    a->cstartbs     = oldmat->cstartbs;
    a->cendbs       = oldmat->cendbs;

    /* hash table stuff */
    a->ht           = NULL;
    a->hd           = NULL;
    a->ht_size      = 0;
    a->ht_flag      = oldmat->ht_flag;
    a->ht_fact      = oldmat->ht_fact;
    a->ht_total_ct  = 0;
    a->ht_insert_ct = 0;

    PetscCall(PetscArraycpy(a->rangebs, oldmat->rangebs, a->size + 2));
    if (oldmat->colmap) {
#if defined(PETSC_USE_CTABLE)
      PetscCall(PetscHMapIDuplicate(oldmat->colmap, &a->colmap));
#else
      PetscCall(PetscMalloc1(a->Nbs, &a->colmap));
      PetscCall(PetscArraycpy(a->colmap, oldmat->colmap, a->Nbs));
#endif
    } else a->colmap = NULL;

    if (oldmat->garray && (len = ((Mat_SeqBAIJ *)oldmat->B->data)->nbs)) {
      PetscCall(PetscMalloc1(len, &a->garray));
      PetscCall(PetscArraycpy(a->garray, oldmat->garray, len));
    } else a->garray = NULL;

    PetscCall(MatStashCreate_Private(PetscObjectComm((PetscObject)matin), matin->rmap->bs, &mat->bstash));
    PetscCall(VecDuplicate(oldmat->lvec, &a->lvec));
    PetscCall(VecScatterCopy(oldmat->Mvctx, &a->Mvctx));

    PetscCall(VecDuplicate(oldmat->slvec0, &a->slvec0));
    PetscCall(VecDuplicate(oldmat->slvec1, &a->slvec1));

    PetscCall(VecGetLocalSize(a->slvec1, &nt));
    PetscCall(VecGetArray(a->slvec1, &array));
    PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, bs * mbs, array, &a->slvec1a));
    PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, nt - bs * mbs, array + bs * mbs, &a->slvec1b));
    PetscCall(VecRestoreArray(a->slvec1, &array));
    PetscCall(VecGetArray(a->slvec0, &array));
    PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, nt - bs * mbs, array + bs * mbs, &a->slvec0b));
    PetscCall(VecRestoreArray(a->slvec0, &array));

    /* ierr =  VecScatterCopy(oldmat->sMvctx,&a->sMvctx); - not written yet, replaced by the lazy trick: */
    PetscCall(PetscObjectReference((PetscObject)oldmat->sMvctx));
    a->sMvctx = oldmat->sMvctx;

    PetscCall(MatDuplicate(oldmat->A, cpvalues, &a->A));
    PetscCall(MatDuplicate(oldmat->B, cpvalues, &a->B));
  }
  PetscCall(PetscFunctionListDuplicate(((PetscObject)matin)->qlist, &((PetscObject)mat)->qlist));
  *newmat = mat;
  PetscFunctionReturn(PETSC_SUCCESS);
}

/* Used for both MPIBAIJ and MPISBAIJ matrices */
#define MatLoad_MPISBAIJ_Binary MatLoad_MPIBAIJ_Binary

static PetscErrorCode MatLoad_MPISBAIJ(Mat mat, PetscViewer viewer)
{
  PetscBool isbinary;

  PetscFunctionBegin;
  PetscCall(PetscObjectTypeCompare((PetscObject)viewer, PETSCVIEWERBINARY, &isbinary));
  PetscCheck(isbinary, PetscObjectComm((PetscObject)viewer), PETSC_ERR_SUP, "Viewer type %s not yet supported for reading %s matrices", ((PetscObject)viewer)->type_name, ((PetscObject)mat)->type_name);
  PetscCall(MatLoad_MPISBAIJ_Binary(mat, viewer));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatGetRowMaxAbs_MPISBAIJ(Mat A, Vec v, PetscInt idx[])
{
  Mat_MPISBAIJ *a = (Mat_MPISBAIJ *)A->data;
  Mat_SeqBAIJ  *b = (Mat_SeqBAIJ *)a->B->data;
  PetscReal     atmp;
  PetscReal    *work, *svalues, *rvalues;
  PetscInt      i, bs, mbs, *bi, *bj, brow, j, ncols, krow, kcol, col, row, Mbs, bcol;
  PetscMPIInt   rank, size;
  PetscInt     *rowners_bs, count, source;
  PetscScalar  *va;
  MatScalar    *ba;
  MPI_Status    stat;

  PetscFunctionBegin;
  PetscCheck(!idx, PETSC_COMM_SELF, PETSC_ERR_SUP, "Send email to petsc-maint@mcs.anl.gov");
  PetscCall(MatGetRowMaxAbs(a->A, v, NULL));
  PetscCall(VecGetArray(v, &va));

  PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size));
  PetscCallMPI(MPI_Comm_rank(PetscObjectComm((PetscObject)A), &rank));

  bs  = A->rmap->bs;
  mbs = a->mbs;
  Mbs = a->Mbs;
  ba  = b->a;
  bi  = b->i;
  bj  = b->j;

  /* find ownerships */
  rowners_bs = A->rmap->range;

  /* each proc creates an array to be distributed */
  PetscCall(PetscCalloc1(bs * Mbs, &work));

  /* row_max for B */
  if (rank != size - 1) {
    for (i = 0; i < mbs; i++) {
      ncols = bi[1] - bi[0];
      bi++;
      brow = bs * i;
      for (j = 0; j < ncols; j++) {
        bcol = bs * (*bj);
        for (kcol = 0; kcol < bs; kcol++) {
          col = bcol + kcol;           /* local col index */
          col += rowners_bs[rank + 1]; /* global col index */
          for (krow = 0; krow < bs; krow++) {
            atmp = PetscAbsScalar(*ba);
            ba++;
            row = brow + krow; /* local row index */
            if (PetscRealPart(va[row]) < atmp) va[row] = atmp;
            if (work[col] < atmp) work[col] = atmp;
          }
        }
        bj++;
      }
    }

    /* send values to its owners */
    for (PetscMPIInt dest = rank + 1; dest < size; dest++) {
      svalues = work + rowners_bs[dest];
      count   = rowners_bs[dest + 1] - rowners_bs[dest];
      PetscCallMPI(MPIU_Send(svalues, count, MPIU_REAL, dest, rank, PetscObjectComm((PetscObject)A)));
    }
  }

  /* receive values */
  if (rank) {
    rvalues = work;
    count   = rowners_bs[rank + 1] - rowners_bs[rank];
    for (source = 0; source < rank; source++) {
      PetscCallMPI(MPIU_Recv(rvalues, count, MPIU_REAL, MPI_ANY_SOURCE, MPI_ANY_TAG, PetscObjectComm((PetscObject)A), &stat));
      /* process values */
      for (i = 0; i < count; i++) {
        if (PetscRealPart(va[i]) < rvalues[i]) va[i] = rvalues[i];
      }
    }
  }

  PetscCall(VecRestoreArray(v, &va));
  PetscCall(PetscFree(work));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSOR_MPISBAIJ(Mat matin, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx)
{
  Mat_MPISBAIJ      *mat = (Mat_MPISBAIJ *)matin->data;
  PetscInt           mbs = mat->mbs, bs = matin->rmap->bs;
  PetscScalar       *x, *ptr, *from;
  Vec                bb1;
  const PetscScalar *b;

  PetscFunctionBegin;
  PetscCheck(its > 0 && lits > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Relaxation requires global its %" PetscInt_FMT " and local its %" PetscInt_FMT " both positive", its, lits);
  PetscCheck(bs <= 1, PETSC_COMM_SELF, PETSC_ERR_SUP, "SSOR for block size > 1 is not yet implemented");

  if (flag == SOR_APPLY_UPPER) {
    PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx));
    PetscFunctionReturn(PETSC_SUCCESS);
  }

  if ((flag & SOR_LOCAL_SYMMETRIC_SWEEP) == SOR_LOCAL_SYMMETRIC_SWEEP) {
    if (flag & SOR_ZERO_INITIAL_GUESS) {
      PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, lits, xx));
      its--;
    }

    PetscCall(VecDuplicate(bb, &bb1));
    while (its--) {
      /* lower triangular part: slvec0b = - B^T*xx */
      PetscCall((*mat->B->ops->multtranspose)(mat->B, xx, mat->slvec0b));

      /* copy xx into slvec0a */
      PetscCall(VecGetArray(mat->slvec0, &ptr));
      PetscCall(VecGetArray(xx, &x));
      PetscCall(PetscArraycpy(ptr, x, bs * mbs));
      PetscCall(VecRestoreArray(mat->slvec0, &ptr));

      PetscCall(VecScale(mat->slvec0, -1.0));

      /* copy bb into slvec1a */
      PetscCall(VecGetArray(mat->slvec1, &ptr));
      PetscCall(VecGetArrayRead(bb, &b));
      PetscCall(PetscArraycpy(ptr, b, bs * mbs));
      PetscCall(VecRestoreArray(mat->slvec1, &ptr));

      /* set slvec1b = 0 */
      PetscCall(PetscObjectStateIncrease((PetscObject)mat->slvec1b));
      PetscCall(VecZeroEntries(mat->slvec1b));

      PetscCall(VecScatterBegin(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD));
      PetscCall(VecRestoreArray(xx, &x));
      PetscCall(VecRestoreArrayRead(bb, &b));
      PetscCall(VecScatterEnd(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD));

      /* upper triangular part: bb1 = bb1 - B*x */
      PetscCall((*mat->B->ops->multadd)(mat->B, mat->slvec1b, mat->slvec1a, bb1));

      /* local diagonal sweep */
      PetscCall((*mat->A->ops->sor)(mat->A, bb1, omega, SOR_SYMMETRIC_SWEEP, fshift, lits, lits, xx));
    }
    PetscCall(VecDestroy(&bb1));
  } else if ((flag & SOR_LOCAL_FORWARD_SWEEP) && (its == 1) && (flag & SOR_ZERO_INITIAL_GUESS)) {
    PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx));
  } else if ((flag & SOR_LOCAL_BACKWARD_SWEEP) && (its == 1) && (flag & SOR_ZERO_INITIAL_GUESS)) {
    PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, flag, fshift, lits, 1, xx));
  } else if (flag & SOR_EISENSTAT) {
    Vec                xx1;
    PetscBool          hasop;
    const PetscScalar *diag;
    PetscScalar       *sl, scale = (omega - 2.0) / omega;
    PetscInt           i, n;

    if (!mat->xx1) {
      PetscCall(VecDuplicate(bb, &mat->xx1));
      PetscCall(VecDuplicate(bb, &mat->bb1));
    }
    xx1 = mat->xx1;
    bb1 = mat->bb1;

    PetscCall((*mat->A->ops->sor)(mat->A, bb, omega, (MatSORType)(SOR_ZERO_INITIAL_GUESS | SOR_LOCAL_BACKWARD_SWEEP), fshift, lits, 1, xx));

    if (!mat->diag) {
      /* this is wrong for same matrix with new nonzero values */
      PetscCall(MatCreateVecs(matin, &mat->diag, NULL));
      PetscCall(MatGetDiagonal(matin, mat->diag));
    }
    PetscCall(MatHasOperation(matin, MATOP_MULT_DIAGONAL_BLOCK, &hasop));

    if (hasop) {
      PetscCall(MatMultDiagonalBlock(matin, xx, bb1));
      PetscCall(VecAYPX(mat->slvec1a, scale, bb));
    } else {
      /*
          These two lines are replaced by code that may be a bit faster for a good compiler
      PetscCall(VecPointwiseMult(mat->slvec1a,mat->diag,xx));
      PetscCall(VecAYPX(mat->slvec1a,scale,bb));
      */
      PetscCall(VecGetArray(mat->slvec1a, &sl));
      PetscCall(VecGetArrayRead(mat->diag, &diag));
      PetscCall(VecGetArrayRead(bb, &b));
      PetscCall(VecGetArray(xx, &x));
      PetscCall(VecGetLocalSize(xx, &n));
      if (omega == 1.0) {
        for (i = 0; i < n; i++) sl[i] = b[i] - diag[i] * x[i];
        PetscCall(PetscLogFlops(2.0 * n));
      } else {
        for (i = 0; i < n; i++) sl[i] = b[i] + scale * diag[i] * x[i];
        PetscCall(PetscLogFlops(3.0 * n));
      }
      PetscCall(VecRestoreArray(mat->slvec1a, &sl));
      PetscCall(VecRestoreArrayRead(mat->diag, &diag));
      PetscCall(VecRestoreArrayRead(bb, &b));
      PetscCall(VecRestoreArray(xx, &x));
    }

    /* multiply off-diagonal portion of matrix */
    PetscCall(PetscObjectStateIncrease((PetscObject)mat->slvec1b));
    PetscCall(VecZeroEntries(mat->slvec1b));
    PetscCall((*mat->B->ops->multtranspose)(mat->B, xx, mat->slvec0b));
    PetscCall(VecGetArray(mat->slvec0, &from));
    PetscCall(VecGetArray(xx, &x));
    PetscCall(PetscArraycpy(from, x, bs * mbs));
    PetscCall(VecRestoreArray(mat->slvec0, &from));
    PetscCall(VecRestoreArray(xx, &x));
    PetscCall(VecScatterBegin(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD));
    PetscCall(VecScatterEnd(mat->sMvctx, mat->slvec0, mat->slvec1, ADD_VALUES, SCATTER_FORWARD));
    PetscCall((*mat->B->ops->multadd)(mat->B, mat->slvec1b, mat->slvec1a, mat->slvec1a));

    /* local sweep */
    PetscCall((*mat->A->ops->sor)(mat->A, mat->slvec1a, omega, (MatSORType)(SOR_ZERO_INITIAL_GUESS | SOR_LOCAL_FORWARD_SWEEP), fshift, lits, 1, xx1));
    PetscCall(VecAXPY(xx, 1.0, xx1));
  } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "MatSORType is not supported for SBAIJ matrix format");
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatCreateMPISBAIJWithArrays - creates a `MATMPISBAIJ` matrix using arrays that contain in standard CSR format for the local rows.

  Collective

  Input Parameters:
+ comm - MPI communicator
. bs   - the block size, only a block size of 1 is supported
. m    - number of local rows (Cannot be `PETSC_DECIDE`)
. n    - This value should be the same as the local size used in creating the
         x vector for the matrix-vector product $ y = Ax $. (or `PETSC_DECIDE` to have
         calculated if `N` is given) For square matrices `n` is almost always `m`.
. M    - number of global rows (or `PETSC_DETERMINE` to have calculated if `m` is given)
. N    - number of global columns (or `PETSC_DETERMINE` to have calculated if `n` is given)
. i    - row indices; that is i[0] = 0, i[row] = i[row-1] + number of block elements in that row block row of the matrix
. j    - column indices
- a    - matrix values

  Output Parameter:
. mat - the matrix

  Level: intermediate

  Notes:
  The `i`, `j`, and `a` arrays ARE copied by this routine into the internal format used by PETSc;
  thus you CANNOT change the matrix entries by changing the values of `a` after you have
  called this routine. Use `MatCreateMPIAIJWithSplitArrays()` to avoid needing to copy the arrays.

  The `i` and `j` indices are 0 based, and `i` indices are indices corresponding to the local `j` array.

.seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatMPIAIJSetPreallocation()`, `MatMPIAIJSetPreallocationCSR()`,
          `MATMPIAIJ`, `MatCreateAIJ()`, `MatCreateMPIAIJWithSplitArrays()`, `MatMPISBAIJSetPreallocationCSR()`
@*/
PetscErrorCode MatCreateMPISBAIJWithArrays(MPI_Comm comm, PetscInt bs, PetscInt m, PetscInt n, PetscInt M, PetscInt N, const PetscInt i[], const PetscInt j[], const PetscScalar a[], Mat *mat)
{
  PetscFunctionBegin;
  PetscCheck(!i[0], PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "i (row indices) must start with 0");
  PetscCheck(m >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "local number of rows (m) cannot be PETSC_DECIDE, or negative");
  PetscCall(MatCreate(comm, mat));
  PetscCall(MatSetSizes(*mat, m, n, M, N));
  PetscCall(MatSetType(*mat, MATMPISBAIJ));
  PetscCall(MatMPISBAIJSetPreallocationCSR(*mat, bs, i, j, a));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@
  MatMPISBAIJSetPreallocationCSR - Creates a sparse parallel matrix in `MATMPISBAIJ` format using the given nonzero structure and (optional) numerical values

  Collective

  Input Parameters:
+ B  - the matrix
. bs - the block size
. i  - the indices into `j` for the start of each local row (indices start with zero)
. j  - the column indices for each local row (indices start with zero) these must be sorted for each row
- v  - optional values in the matrix, pass `NULL` if not provided

  Level: advanced

  Notes:
  The `i`, `j`, and `v` arrays ARE copied by this routine into the internal format used by PETSc;
  thus you CANNOT change the matrix entries by changing the values of `v` after you have
  called this routine.

  Though this routine has Preallocation() in the name it also sets the exact nonzero locations of the matrix entries
  and usually the numerical values as well

  Any entries passed in that are below the diagonal are ignored

.seealso: [](ch_matrices), `Mat`, `MATMPISBAIJ`, `MatCreate()`, `MatCreateSeqAIJ()`, `MatSetValues()`, `MatMPIBAIJSetPreallocation()`, `MatCreateAIJ()`, `MATMPIAIJ`,
          `MatCreateMPISBAIJWithArrays()`
@*/
PetscErrorCode MatMPISBAIJSetPreallocationCSR(Mat B, PetscInt bs, const PetscInt i[], const PetscInt j[], const PetscScalar v[])
{
  PetscFunctionBegin;
  PetscTryMethod(B, "MatMPISBAIJSetPreallocationCSR_C", (Mat, PetscInt, const PetscInt[], const PetscInt[], const PetscScalar[]), (B, bs, i, j, v));
  PetscFunctionReturn(PETSC_SUCCESS);
}

PetscErrorCode MatCreateMPIMatConcatenateSeqMat_MPISBAIJ(MPI_Comm comm, Mat inmat, PetscInt n, MatReuse scall, Mat *outmat)
{
  PetscInt     m, N, i, rstart, nnz, Ii, bs, cbs;
  PetscInt    *indx;
  PetscScalar *values;

  PetscFunctionBegin;
  PetscCall(MatGetSize(inmat, &m, &N));
  if (scall == MAT_INITIAL_MATRIX) { /* symbolic phase */
    Mat_SeqSBAIJ *a = (Mat_SeqSBAIJ *)inmat->data;
    PetscInt     *dnz, *onz, mbs, Nbs, nbs;
    PetscInt     *bindx, rmax = a->rmax, j;
    PetscMPIInt   rank, size;

    PetscCall(MatGetBlockSizes(inmat, &bs, &cbs));
    mbs = m / bs;
    Nbs = N / cbs;
    if (n == PETSC_DECIDE) PetscCall(PetscSplitOwnershipBlock(comm, cbs, &n, &N));
    nbs = n / cbs;

    PetscCall(PetscMalloc1(rmax, &bindx));
    MatPreallocateBegin(comm, mbs, nbs, dnz, onz); /* inline function, output __end and __rstart are used below */

    PetscCallMPI(MPI_Comm_rank(comm, &rank));
    PetscCallMPI(MPI_Comm_size(comm, &size));
    if (rank == size - 1) {
      /* Check sum(nbs) = Nbs */
      PetscCheck(__end == Nbs, PETSC_COMM_SELF, PETSC_ERR_ARG_INCOMP, "Sum of local block columns %" PetscInt_FMT " != global block columns %" PetscInt_FMT, __end, Nbs);
    }

    rstart = __rstart; /* block rstart of *outmat; see inline function MatPreallocateBegin */
    PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE));
    for (i = 0; i < mbs; i++) {
      PetscCall(MatGetRow_SeqSBAIJ(inmat, i * bs, &nnz, &indx, NULL)); /* non-blocked nnz and indx */
      nnz = nnz / bs;
      for (j = 0; j < nnz; j++) bindx[j] = indx[j * bs] / bs;
      PetscCall(MatPreallocateSet(i + rstart, nnz, bindx, dnz, onz));
      PetscCall(MatRestoreRow_SeqSBAIJ(inmat, i * bs, &nnz, &indx, NULL));
    }
    PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE));
    PetscCall(PetscFree(bindx));

    PetscCall(MatCreate(comm, outmat));
    PetscCall(MatSetSizes(*outmat, m, n, PETSC_DETERMINE, PETSC_DETERMINE));
    PetscCall(MatSetBlockSizes(*outmat, bs, cbs));
    PetscCall(MatSetType(*outmat, MATSBAIJ));
    PetscCall(MatSeqSBAIJSetPreallocation(*outmat, bs, 0, dnz));
    PetscCall(MatMPISBAIJSetPreallocation(*outmat, bs, 0, dnz, 0, onz));
    MatPreallocateEnd(dnz, onz);
  }

  /* numeric phase */
  PetscCall(MatGetBlockSizes(inmat, &bs, &cbs));
  PetscCall(MatGetOwnershipRange(*outmat, &rstart, NULL));

  PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_TRUE));
  for (i = 0; i < m; i++) {
    PetscCall(MatGetRow_SeqSBAIJ(inmat, i, &nnz, &indx, &values));
    Ii = i + rstart;
    PetscCall(MatSetValues(*outmat, 1, &Ii, nnz, indx, values, INSERT_VALUES));
    PetscCall(MatRestoreRow_SeqSBAIJ(inmat, i, &nnz, &indx, &values));
  }
  PetscCall(MatSetOption(inmat, MAT_GETROW_UPPERTRIANGULAR, PETSC_FALSE));
  PetscCall(MatAssemblyBegin(*outmat, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(*outmat, MAT_FINAL_ASSEMBLY));
  PetscFunctionReturn(PETSC_SUCCESS);
}