xref: /petsc/src/mat/impls/blockmat/seq/blockmat.c (revision 5b12497f4ab2fae16b3dbcff7d3c608aa116b75c)

/*
   This provides a matrix that consists of Mats
*/

#include <petsc/private/matimpl.h>          /*I "petscmat.h" I*/
#include <../src/mat/impls/baij/seq/baij.h> /* use the common AIJ data-structure */

typedef struct {
  SEQAIJHEADER(Mat);
  SEQBAIJHEADER;
  Mat *diags;

  Vec left, right, middle, workb; /* dummy vectors to perform local parts of product */
} Mat_BlockMat;

MatGetDiagonalMarkers(BlockMat, A->rmap->bs)

static PetscErrorCode MatSOR_BlockMat_Symmetric(Mat A, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx)
{
  Mat_BlockMat      *a = (Mat_BlockMat *)A->data;
  PetscScalar       *x;
  const Mat         *v;
  const PetscScalar *b;
  PetscInt           n = A->cmap->n, i, mbs = n / A->rmap->bs, j, bs = A->rmap->bs;
  const PetscInt    *idx;
  IS                 row, col;
  MatFactorInfo      info;
  Vec                left = a->left, right = a->right, middle = a->middle;
  Mat               *diag;

  PetscFunctionBegin;
  its = its * lits;
  PetscCheck(its > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Relaxation requires global its %" PetscInt_FMT " and local its %" PetscInt_FMT " both positive", its, lits);
  PetscCheck(!(flag & SOR_EISENSTAT), PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for Eisenstat");
  PetscCheck(omega == 1.0, PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for omega not equal to 1.0");
  PetscCheck(!fshift, PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for fshift");
  PetscCheck(!((flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) && !(flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP)), PETSC_COMM_SELF, PETSC_ERR_SUP, "Cannot do backward sweep without forward sweep");

  if (!a->diags) {
    const PetscInt *adiag;

    PetscCall(MatGetDiagonalMarkers_BlockMat(A, &adiag, NULL));
    PetscCall(PetscMalloc1(mbs, &a->diags));
    PetscCall(MatFactorInfoInitialize(&info));
    for (i = 0; i < mbs; i++) {
      PetscCall(MatGetOrdering(a->a[a->diag[i]], MATORDERINGND, &row, &col));
      PetscCall(MatCholeskyFactorSymbolic(a->diags[i], a->a[adiag[i]], row, &info));
      PetscCall(MatCholeskyFactorNumeric(a->diags[i], a->a[adiag[i]], &info));
      PetscCall(ISDestroy(&row));
      PetscCall(ISDestroy(&col));
    }
    PetscCall(VecDuplicate(bb, &a->workb));
  }
  diag = a->diags;

  PetscCall(VecSet(xx, 0.0));
  PetscCall(VecGetArray(xx, &x));
  /* copy right-hand side because it must be modified during iteration */
  PetscCall(VecCopy(bb, a->workb));
  PetscCall(VecGetArrayRead(a->workb, &b));

  /* need to add code for when initial guess is zero, see MatSOR_SeqAIJ */
  while (its--) {
    if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) {
      for (i = 0; i < mbs; i++) {
        n   = a->i[i + 1] - a->i[i] - 1;
        idx = a->j + a->i[i] + 1;
        v   = a->a + a->i[i] + 1;

        PetscCall(VecSet(left, 0.0));
        for (j = 0; j < n; j++) {
          PetscCall(VecPlaceArray(right, x + idx[j] * bs));
          PetscCall(MatMultAdd(v[j], right, left, left));
          PetscCall(VecResetArray(right));
        }
        PetscCall(VecPlaceArray(right, b + i * bs));
        PetscCall(VecAYPX(left, -1.0, right));
        PetscCall(VecResetArray(right));

        PetscCall(VecPlaceArray(right, x + i * bs));
        PetscCall(MatSolve(diag[i], left, right));

        /* now adjust right-hand side, see MatSOR_SeqSBAIJ */
        for (j = 0; j < n; j++) {
          PetscCall(MatMultTranspose(v[j], right, left));
          PetscCall(VecPlaceArray(middle, b + idx[j] * bs));
          PetscCall(VecAXPY(middle, -1.0, left));
          PetscCall(VecResetArray(middle));
        }
        PetscCall(VecResetArray(right));
      }
    }
    if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) {
      for (i = mbs - 1; i >= 0; i--) {
        n   = a->i[i + 1] - a->i[i] - 1;
        idx = a->j + a->i[i] + 1;
        v   = a->a + a->i[i] + 1;

        PetscCall(VecSet(left, 0.0));
        for (j = 0; j < n; j++) {
          PetscCall(VecPlaceArray(right, x + idx[j] * bs));
          PetscCall(MatMultAdd(v[j], right, left, left));
          PetscCall(VecResetArray(right));
        }
        PetscCall(VecPlaceArray(right, b + i * bs));
        PetscCall(VecAYPX(left, -1.0, right));
        PetscCall(VecResetArray(right));

        PetscCall(VecPlaceArray(right, x + i * bs));
        PetscCall(MatSolve(diag[i], left, right));
        PetscCall(VecResetArray(right));
      }
    }
  }
  PetscCall(VecRestoreArray(xx, &x));
  PetscCall(VecRestoreArrayRead(a->workb, &b));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSOR_BlockMat(Mat A, Vec bb, PetscReal omega, MatSORType flag, PetscReal fshift, PetscInt its, PetscInt lits, Vec xx)
{
  Mat_BlockMat      *a = (Mat_BlockMat *)A->data;
  PetscScalar       *x;
  const Mat         *v;
  const PetscScalar *b;
  PetscInt           n = A->cmap->n, i, mbs = n / A->rmap->bs, j, bs = A->rmap->bs;
  const PetscInt    *idx;
  IS                 row, col;
  MatFactorInfo      info;
  Vec                left = a->left, right = a->right;
  Mat               *diag;

  PetscFunctionBegin;
  its = its * lits;
  PetscCheck(its > 0, PETSC_COMM_SELF, PETSC_ERR_ARG_WRONG, "Relaxation requires global its %" PetscInt_FMT " and local its %" PetscInt_FMT " both positive", its, lits);
  PetscCheck(!(flag & SOR_EISENSTAT), PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for Eisenstat");
  PetscCheck(omega == 1.0, PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for omega not equal to 1.0");
  PetscCheck(!fshift, PETSC_COMM_SELF, PETSC_ERR_SUP, "No support yet for fshift");

  if (!a->diags) {
    const PetscInt *adiag;

    PetscCall(MatGetDiagonalMarkers_BlockMat(A, &adiag, NULL));
    PetscCall(PetscMalloc1(mbs, &a->diags));
    PetscCall(MatFactorInfoInitialize(&info));
    for (i = 0; i < mbs; i++) {
      PetscCall(MatGetOrdering(a->a[adiag[i]], MATORDERINGND, &row, &col));
      PetscCall(MatLUFactorSymbolic(a->diags[i], a->a[adiag[i]], row, col, &info));
      PetscCall(MatLUFactorNumeric(a->diags[i], a->a[adiag[i]], &info));
      PetscCall(ISDestroy(&row));
      PetscCall(ISDestroy(&col));
    }
  }
  diag = a->diags;

  PetscCall(VecSet(xx, 0.0));
  PetscCall(VecGetArray(xx, &x));
  PetscCall(VecGetArrayRead(bb, &b));

  /* need to add code for when initial guess is zero, see MatSOR_SeqAIJ */
  while (its--) {
    if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) {
      for (i = 0; i < mbs; i++) {
        n   = a->i[i + 1] - a->i[i];
        idx = a->j + a->i[i];
        v   = a->a + a->i[i];

        PetscCall(VecSet(left, 0.0));
        for (j = 0; j < n; j++) {
          if (idx[j] != i) {
            PetscCall(VecPlaceArray(right, x + idx[j] * bs));
            PetscCall(MatMultAdd(v[j], right, left, left));
            PetscCall(VecResetArray(right));
          }
        }
        PetscCall(VecPlaceArray(right, b + i * bs));
        PetscCall(VecAYPX(left, -1.0, right));
        PetscCall(VecResetArray(right));

        PetscCall(VecPlaceArray(right, x + i * bs));
        PetscCall(MatSolve(diag[i], left, right));
        PetscCall(VecResetArray(right));
      }
    }
    if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) {
      for (i = mbs - 1; i >= 0; i--) {
        n   = a->i[i + 1] - a->i[i];
        idx = a->j + a->i[i];
        v   = a->a + a->i[i];

        PetscCall(VecSet(left, 0.0));
        for (j = 0; j < n; j++) {
          if (idx[j] != i) {
            PetscCall(VecPlaceArray(right, x + idx[j] * bs));
            PetscCall(MatMultAdd(v[j], right, left, left));
            PetscCall(VecResetArray(right));
          }
        }
        PetscCall(VecPlaceArray(right, b + i * bs));
        PetscCall(VecAYPX(left, -1.0, right));
        PetscCall(VecResetArray(right));

        PetscCall(VecPlaceArray(right, x + i * bs));
        PetscCall(MatSolve(diag[i], left, right));
        PetscCall(VecResetArray(right));
      }
    }
  }
  PetscCall(VecRestoreArray(xx, &x));
  PetscCall(VecRestoreArrayRead(bb, &b));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSetValues_BlockMat(Mat A, PetscInt m, const PetscInt im[], PetscInt n, const PetscInt in[], const PetscScalar v[], InsertMode is)
{
  Mat_BlockMat *a = (Mat_BlockMat *)A->data;
  PetscInt     *rp, k, low, high, t, row, nrow, i, col, l, lastcol = -1;
  PetscInt     *ai = a->i, *ailen = a->ilen;
  PetscInt     *aj = a->j, nonew = a->nonew, bs = A->rmap->bs, brow, bcol;
  PetscInt      ridx, cidx;
  PetscBool     roworiented = a->roworiented;
  MatScalar     value;
  Mat          *ap, *aa = a->a;

  PetscFunctionBegin;
  for (k = 0; k < m; k++) { /* loop over added rows */
    row  = im[k];
    brow = row / bs;
    if (row < 0) continue;
    PetscCheck(row < A->rmap->N, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Row too large: row %" PetscInt_FMT " max %" PetscInt_FMT, row, A->rmap->N - 1);
    rp   = aj + ai[brow];
    ap   = aa + ai[brow];
    nrow = ailen[brow];
    low  = 0;
    high = nrow;
    for (l = 0; l < n; l++) { /* loop over added columns */
      if (in[l] < 0) continue;
      PetscCheck(in[l] < A->cmap->n, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "Column too large: col %" PetscInt_FMT " max %" PetscInt_FMT, in[l], A->cmap->n - 1);
      col  = in[l];
      bcol = col / bs;
      if (A->symmetric == PETSC_BOOL3_TRUE && brow > bcol) continue;
      ridx = row % bs;
      cidx = col % bs;
      if (roworiented) value = v[l + k * n];
      else value = v[k + l * m];

      if (col <= lastcol) low = 0;
      else high = nrow;
      lastcol = col;
      while (high - low > 7) {
        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) goto noinsert1;
      }
      if (nonew == 1) goto noinsert1;
      SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Inserting a new nonzero (%" PetscInt_FMT ", %" PetscInt_FMT ") in the block matrix", row, col);
#if 0
      MatSeqXAIJReallocateAIJ(A, a->mbs, 1, nrow, brow, bcol, rmax, aa, ai, aj, rp, ap, imax, nonew, Mat);
      N = nrow++ - 1;
      high++;
      /* shift up all the later entries in this row */
      for (ii = N; ii >= i; ii--) {
        rp[ii + 1] = rp[ii];
        ap[ii + 1] = ap[ii];
      }
      if (N >= i) ap[i] = NULL;
      rp[i] = bcol;
      a->nz++;
#endif
    noinsert1:;
      if (!*(ap + i)) PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, bs, bs, 0, NULL, ap + i));
      PetscCall(MatSetValues(ap[i], 1, &ridx, 1, &cidx, &value, is));
      low = i;
    }
    ailen[brow] = nrow;
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatLoad_BlockMat(Mat newmat, PetscViewer viewer)
{
  Mat                tmpA;
  PetscInt           i, j, m, n, bs = 1, ncols, *lens, currentcol, mbs, **ii, *ilens, nextcol, *llens, cnt = 0;
  const PetscInt    *cols;
  const PetscScalar *values;
  PetscBool          flg = PETSC_FALSE, notdone;
  Mat_SeqAIJ        *a;
  Mat_BlockMat      *amat;

  PetscFunctionBegin;
  /* force binary viewer to load .info file if it has not yet done so */
  PetscCall(PetscViewerSetUp(viewer));
  PetscCall(MatCreate(PETSC_COMM_SELF, &tmpA));
  PetscCall(MatSetType(tmpA, MATSEQAIJ));
  PetscCall(MatLoad_SeqAIJ(tmpA, viewer));

  PetscCall(MatGetLocalSize(tmpA, &m, &n));
  PetscOptionsBegin(PETSC_COMM_SELF, NULL, "Options for loading BlockMat matrix 1", "Mat");
  PetscCall(PetscOptionsInt("-matload_block_size", "Set the blocksize used to store the matrix", "MatLoad", bs, &bs, NULL));
  PetscCall(PetscOptionsBool("-matload_symmetric", "Store the matrix as symmetric", "MatLoad", flg, &flg, NULL));
  PetscOptionsEnd();

  /* Determine number of nonzero blocks for each block row */
  a   = (Mat_SeqAIJ *)tmpA->data;
  mbs = m / bs;
  PetscCall(PetscMalloc3(mbs, &lens, bs, &ii, bs, &ilens));
  PetscCall(PetscArrayzero(lens, mbs));

  for (i = 0; i < mbs; i++) {
    for (j = 0; j < bs; j++) {
      ii[j]    = a->j + a->i[i * bs + j];
      ilens[j] = a->i[i * bs + j + 1] - a->i[i * bs + j];
    }

    currentcol = -1;
    while (PETSC_TRUE) {
      notdone = PETSC_FALSE;
      nextcol = 1000000000;
      for (j = 0; j < bs; j++) {
        while (ilens[j] > 0 && ii[j][0] / bs <= currentcol) {
          ii[j]++;
          ilens[j]--;
        }
        if (ilens[j] > 0) {
          notdone = PETSC_TRUE;
          nextcol = PetscMin(nextcol, ii[j][0] / bs);
        }
      }
      if (!notdone) break;
      if (!flg || (nextcol >= i)) lens[i]++;
      currentcol = nextcol;
    }
  }

  if (newmat->rmap->n < 0 && newmat->rmap->N < 0 && newmat->cmap->n < 0 && newmat->cmap->N < 0) PetscCall(MatSetSizes(newmat, m, n, PETSC_DETERMINE, PETSC_DETERMINE));
  PetscCall(MatBlockMatSetPreallocation(newmat, bs, 0, lens));
  if (flg) PetscCall(MatSetOption(newmat, MAT_SYMMETRIC, PETSC_TRUE));
  amat = (Mat_BlockMat *)newmat->data;

  /* preallocate the submatrices */
  PetscCall(PetscMalloc1(bs, &llens));
  for (i = 0; i < mbs; i++) { /* loops for block rows */
    for (j = 0; j < bs; j++) {
      ii[j]    = a->j + a->i[i * bs + j];
      ilens[j] = a->i[i * bs + j + 1] - a->i[i * bs + j];
    }

    currentcol = 1000000000;
    for (j = 0; j < bs; j++) { /* loop over rows in block finding first nonzero block */
      if (ilens[j] > 0) currentcol = PetscMin(currentcol, ii[j][0] / bs);
    }

    while (PETSC_TRUE) { /* loops over blocks in block row */
      notdone = PETSC_FALSE;
      nextcol = 1000000000;
      PetscCall(PetscArrayzero(llens, bs));
      for (j = 0; j < bs; j++) {                              /* loop over rows in block */
        while (ilens[j] > 0 && ii[j][0] / bs <= currentcol) { /* loop over columns in row */
          ii[j]++;
          ilens[j]--;
          llens[j]++;
        }
        if (ilens[j] > 0) {
          notdone = PETSC_TRUE;
          nextcol = PetscMin(nextcol, ii[j][0] / bs);
        }
      }
      PetscCheck(cnt < amat->maxnz, PETSC_COMM_SELF, PETSC_ERR_PLIB, "Number of blocks found greater than expected %" PetscInt_FMT, cnt);
      if (!flg || currentcol >= i) {
        amat->j[cnt] = currentcol;
        PetscCall(MatCreateSeqAIJ(PETSC_COMM_SELF, bs, bs, 0, llens, amat->a + cnt++));
      }

      if (!notdone) break;
      currentcol = nextcol;
    }
    amat->ilen[i] = lens[i];
  }

  PetscCall(PetscFree3(lens, ii, ilens));
  PetscCall(PetscFree(llens));

  /* copy over the matrix, one row at a time */
  for (i = 0; i < m; i++) {
    PetscCall(MatGetRow(tmpA, i, &ncols, &cols, &values));
    PetscCall(MatSetValues(newmat, 1, &i, ncols, cols, values, INSERT_VALUES));
    PetscCall(MatRestoreRow(tmpA, i, &ncols, &cols, &values));
  }
  PetscCall(MatAssemblyBegin(newmat, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(newmat, MAT_FINAL_ASSEMBLY));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatView_BlockMat(Mat A, PetscViewer viewer)
{
  Mat_BlockMat     *a = (Mat_BlockMat *)A->data;
  const char       *name;
  PetscViewerFormat format;

  PetscFunctionBegin;
  PetscCall(PetscObjectGetName((PetscObject)A, &name));
  PetscCall(PetscViewerGetFormat(viewer, &format));
  if (format == PETSC_VIEWER_ASCII_FACTOR_INFO || format == PETSC_VIEWER_ASCII_INFO) {
    PetscCall(PetscViewerASCIIPrintf(viewer, "Nonzero block matrices = %" PetscInt_FMT " \n", a->nz));
    if (A->symmetric == PETSC_BOOL3_TRUE) PetscCall(PetscViewerASCIIPrintf(viewer, "Only upper triangular part of symmetric matrix is stored\n"));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatDestroy_BlockMat(Mat mat)
{
  Mat_BlockMat *bmat = (Mat_BlockMat *)mat->data;
  PetscInt      i;

  PetscFunctionBegin;
  PetscCall(VecDestroy(&bmat->right));
  PetscCall(VecDestroy(&bmat->left));
  PetscCall(VecDestroy(&bmat->middle));
  PetscCall(VecDestroy(&bmat->workb));
  if (bmat->diags) {
    for (i = 0; i < mat->rmap->n / mat->rmap->bs; i++) PetscCall(MatDestroy(&bmat->diags[i]));
  }
  if (bmat->a) {
    for (i = 0; i < bmat->nz; i++) PetscCall(MatDestroy(&bmat->a[i]));
  }
  PetscCall(MatSeqXAIJFreeAIJ(mat, (PetscScalar **)&bmat->a, &bmat->j, &bmat->i));
  PetscCall(PetscFree(mat->data));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMult_BlockMat(Mat A, Vec x, Vec y)
{
  Mat_BlockMat *bmat = (Mat_BlockMat *)A->data;
  PetscScalar  *xx, *yy;
  PetscInt     *aj, i, *ii, jrow, m = A->rmap->n / A->rmap->bs, bs = A->rmap->bs, n, j;
  Mat          *aa;

  PetscFunctionBegin;
  /*
     Standard CSR multiply except each entry is a Mat
  */
  PetscCall(VecGetArray(x, &xx));

  PetscCall(VecSet(y, 0.0));
  PetscCall(VecGetArray(y, &yy));
  aj = bmat->j;
  aa = bmat->a;
  ii = bmat->i;
  for (i = 0; i < m; i++) {
    jrow = ii[i];
    PetscCall(VecPlaceArray(bmat->left, yy + bs * i));
    n = ii[i + 1] - jrow;
    for (j = 0; j < n; j++) {
      PetscCall(VecPlaceArray(bmat->right, xx + bs * aj[jrow]));
      PetscCall(MatMultAdd(aa[jrow], bmat->right, bmat->left, bmat->left));
      PetscCall(VecResetArray(bmat->right));
      jrow++;
    }
    PetscCall(VecResetArray(bmat->left));
  }
  PetscCall(VecRestoreArray(x, &xx));
  PetscCall(VecRestoreArray(y, &yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMult_BlockMat_Symmetric(Mat A, Vec x, Vec y)
{
  Mat_BlockMat *bmat = (Mat_BlockMat *)A->data;
  PetscScalar  *xx, *yy;
  PetscInt     *aj, i, *ii, jrow, m = A->rmap->n / A->rmap->bs, bs = A->rmap->bs, n, j;
  Mat          *aa;

  PetscFunctionBegin;
  /*
     Standard CSR multiply except each entry is a Mat
  */
  PetscCall(VecGetArray(x, &xx));

  PetscCall(VecSet(y, 0.0));
  PetscCall(VecGetArray(y, &yy));
  aj = bmat->j;
  aa = bmat->a;
  ii = bmat->i;
  for (i = 0; i < m; i++) {
    jrow = ii[i];
    n    = ii[i + 1] - jrow;
    PetscCall(VecPlaceArray(bmat->left, yy + bs * i));
    PetscCall(VecPlaceArray(bmat->middle, xx + bs * i));
    /* if we ALWAYS required a diagonal entry then could remove this if test */
    if (aj[jrow] == i) {
      PetscCall(VecPlaceArray(bmat->right, xx + bs * aj[jrow]));
      PetscCall(MatMultAdd(aa[jrow], bmat->right, bmat->left, bmat->left));
      PetscCall(VecResetArray(bmat->right));
      jrow++;
      n--;
    }
    for (j = 0; j < n; j++) {
      PetscCall(VecPlaceArray(bmat->right, xx + bs * aj[jrow])); /* upper triangular part */
      PetscCall(MatMultAdd(aa[jrow], bmat->right, bmat->left, bmat->left));
      PetscCall(VecResetArray(bmat->right));

      PetscCall(VecPlaceArray(bmat->right, yy + bs * aj[jrow])); /* lower triangular part */
      PetscCall(MatMultTransposeAdd(aa[jrow], bmat->middle, bmat->right, bmat->right));
      PetscCall(VecResetArray(bmat->right));
      jrow++;
    }
    PetscCall(VecResetArray(bmat->left));
    PetscCall(VecResetArray(bmat->middle));
  }
  PetscCall(VecRestoreArray(x, &xx));
  PetscCall(VecRestoreArray(y, &yy));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMultAdd_BlockMat(Mat A, Vec x, Vec y, Vec z)
{
  PetscFunctionBegin;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMultTranspose_BlockMat(Mat A, Vec x, Vec y)
{
  PetscFunctionBegin;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatMultTransposeAdd_BlockMat(Mat A, Vec x, Vec y, Vec z)
{
  PetscFunctionBegin;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatCreateSubMatrix_BlockMat(Mat A, IS isrow, IS iscol, MatReuse scall, Mat *B)
{
  Mat_BlockMat *a = (Mat_BlockMat *)A->data;
  Mat_SeqAIJ   *c;
  PetscInt      i, k, first, step, lensi, nrows, ncols;
  PetscInt     *j_new, *i_new, *aj = a->j, *ailen = a->ilen;
  PetscScalar  *a_new;
  Mat           C, *aa = a->a;
  PetscBool     stride, equal;

  PetscFunctionBegin;
  PetscCall(ISEqual(isrow, iscol, &equal));
  PetscCheck(equal, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only for identical column and row indices");
  PetscCall(PetscObjectTypeCompare((PetscObject)iscol, ISSTRIDE, &stride));
  PetscCheck(stride, PETSC_COMM_SELF, PETSC_ERR_SUP, "Only for stride indices");
  PetscCall(ISStrideGetInfo(iscol, &first, &step));
  PetscCheck(step == A->rmap->bs, PETSC_COMM_SELF, PETSC_ERR_SUP, "Can only select one entry from each block");

  PetscCall(ISGetLocalSize(isrow, &nrows));
  ncols = nrows;

  /* create submatrix */
  if (scall == MAT_REUSE_MATRIX) {
    PetscInt n_cols, n_rows;
    C = *B;
    PetscCall(MatGetSize(C, &n_rows, &n_cols));
    PetscCheck(n_rows == nrows && n_cols == ncols, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Reused submatrix wrong size");
    PetscCall(MatZeroEntries(C));
  } else {
    PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &C));
    PetscCall(MatSetSizes(C, nrows, ncols, PETSC_DETERMINE, PETSC_DETERMINE));
    if (A->symmetric == PETSC_BOOL3_TRUE) PetscCall(MatSetType(C, MATSEQSBAIJ));
    else PetscCall(MatSetType(C, MATSEQAIJ));
    PetscCall(MatSeqAIJSetPreallocation(C, 0, ailen));
    PetscCall(MatSeqSBAIJSetPreallocation(C, 1, 0, ailen));
  }
  c = (Mat_SeqAIJ *)C->data;

  /* loop over rows inserting into submatrix */
  a_new = c->a;
  j_new = c->j;
  i_new = c->i;

  for (i = 0; i < nrows; i++) {
    lensi = ailen[i];
    for (k = 0; k < lensi; k++) {
      *j_new++ = *aj++;
      PetscCall(MatGetValue(*aa++, first, first, a_new++));
    }
    i_new[i + 1] = i_new[i] + lensi;
    c->ilen[i]   = lensi;
  }

  PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY));
  PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY));
  *B = C;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatAssemblyEnd_BlockMat(Mat A, MatAssemblyType mode)
{
  Mat_BlockMat *a      = (Mat_BlockMat *)A->data;
  PetscInt      fshift = 0, i, j, *ai = a->i, *aj = a->j, *imax = a->imax;
  PetscInt      m = a->mbs, *ip, N, *ailen = a->ilen, rmax = 0;
  Mat          *aa = a->a, *ap;

  PetscFunctionBegin;
  if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(PETSC_SUCCESS);

  if (m) rmax = ailen[0]; /* determine row with most nonzeros */
  for (i = 1; i < m; i++) {
    /* move each row back by the amount of empty slots (fshift) before it*/
    fshift += imax[i - 1] - ailen[i - 1];
    rmax = PetscMax(rmax, ailen[i]);
    if (fshift) {
      ip = aj + ai[i];
      ap = aa + ai[i];
      N  = ailen[i];
      for (j = 0; j < N; j++) {
        ip[j - fshift] = ip[j];
        ap[j - fshift] = ap[j];
      }
    }
    ai[i] = ai[i - 1] + ailen[i - 1];
  }
  if (m) {
    fshift += imax[m - 1] - ailen[m - 1];
    ai[m] = ai[m - 1] + ailen[m - 1];
  }
  /* reset ilen and imax for each row */
  for (i = 0; i < m; i++) ailen[i] = imax[i] = ai[i + 1] - ai[i];
  a->nz = ai[m];
  for (i = 0; i < a->nz; i++) {
    PetscAssert(aa[i], PETSC_COMM_SELF, PETSC_ERR_PLIB, "Null matrix at location %" PetscInt_FMT " column %" PetscInt_FMT " nz %" PetscInt_FMT, i, aj[i], a->nz);
    PetscCall(MatAssemblyBegin(aa[i], MAT_FINAL_ASSEMBLY));
    PetscCall(MatAssemblyEnd(aa[i], MAT_FINAL_ASSEMBLY));
  }
  PetscCall(PetscInfo(A, "Matrix size: %" PetscInt_FMT " X %" PetscInt_FMT "; storage space: %" PetscInt_FMT " unneeded, %" PetscInt_FMT " used\n", m, A->cmap->n / A->cmap->bs, fshift, a->nz));
  PetscCall(PetscInfo(A, "Number of mallocs during MatSetValues() is %" PetscInt_FMT "\n", a->reallocs));
  PetscCall(PetscInfo(A, "Maximum nonzeros in any row is %" PetscInt_FMT "\n", rmax));

  A->info.mallocs += a->reallocs;
  a->reallocs         = 0;
  A->info.nz_unneeded = (double)fshift;
  a->rmax             = rmax;
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatSetOption_BlockMat(Mat A, MatOption opt, PetscBool flg)
{
  PetscFunctionBegin;
  if (opt == MAT_SYMMETRIC && flg) {
    A->ops->sor  = MatSOR_BlockMat_Symmetric;
    A->ops->mult = MatMult_BlockMat_Symmetric;
  } else {
    PetscCall(PetscInfo(A, "Unused matrix option %s\n", MatOptions[opt]));
  }
  PetscFunctionReturn(PETSC_SUCCESS);
}

static struct _MatOps MatOps_Values = {MatSetValues_BlockMat,
                                       NULL,
                                       NULL,
                                       MatMult_BlockMat,
                                       /*  4*/ MatMultAdd_BlockMat,
                                       MatMultTranspose_BlockMat,
                                       MatMultTransposeAdd_BlockMat,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 10*/ NULL,
                                       NULL,
                                       NULL,
                                       MatSOR_BlockMat,
                                       NULL,
                                       /* 15*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 20*/ NULL,
                                       MatAssemblyEnd_BlockMat,
                                       MatSetOption_BlockMat,
                                       NULL,
                                       /* 24*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 29*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 34*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 39*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 44*/ NULL,
                                       NULL,
                                       MatShift_Basic,
                                       NULL,
                                       NULL,
                                       /* 49*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 54*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 59*/ MatCreateSubMatrix_BlockMat,
                                       MatDestroy_BlockMat,
                                       MatView_BlockMat,
                                       NULL,
                                       NULL,
                                       /* 64*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 69*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 74*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       MatLoad_BlockMat,
                                       /* 79*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 84*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 89*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 94*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /* 99*/ NULL,
                                       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,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*129*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*134*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       /*139*/ NULL,
                                       NULL,
                                       NULL,
                                       NULL,
                                       NULL};

/*@C
  MatBlockMatSetPreallocation - For good matrix assembly performance
  the user should preallocate the matrix storage by setting the parameter nz
  (or the array nnz).  By setting these parameters accurately, performance
  during matrix assembly can be increased by more than a factor of 50.

  Collective

  Input Parameters:
+ B   - The matrix
. bs  - size of each block in matrix
. nz  - number of nonzeros per block row (same for all rows)
- nnz - array containing the number of nonzeros in the various block rows
         (possibly different for each row) or `NULL`

  Level: intermediate

  Notes:
  If `nnz` is given then `nz` is ignored

  Specify the preallocated storage with either `nz` or `nnz` (not both).
  Set `nz` = `PETSC_DEFAULT` and `nnz` = `NULL` for PETSc to control dynamic memory
  allocation.

.seealso: [](ch_matrices), `Mat`, `MatCreate()`, `MatCreateBlockMat()`, `MatSetValues()`
@*/
PetscErrorCode MatBlockMatSetPreallocation(Mat B, PetscInt bs, PetscInt nz, const PetscInt nnz[])
{
  PetscFunctionBegin;
  PetscTryMethod(B, "MatBlockMatSetPreallocation_C", (Mat, PetscInt, PetscInt, const PetscInt[]), (B, bs, nz, nnz));
  PetscFunctionReturn(PETSC_SUCCESS);
}

static PetscErrorCode MatBlockMatSetPreallocation_BlockMat(Mat A, PetscInt bs, PetscInt nz, PetscInt *nnz)
{
  Mat_BlockMat *bmat = (Mat_BlockMat *)A->data;
  PetscInt      i;

  PetscFunctionBegin;
  PetscCall(PetscLayoutSetBlockSize(A->rmap, bs));
  PetscCall(PetscLayoutSetBlockSize(A->cmap, bs));
  PetscCall(PetscLayoutSetUp(A->rmap));
  PetscCall(PetscLayoutSetUp(A->cmap));
  PetscCall(PetscLayoutGetBlockSize(A->rmap, &bs));

  if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5;
  PetscCheck(nz >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nz cannot be less than 0: value %" PetscInt_FMT, nz);
  if (nnz) {
    for (i = 0; i < A->rmap->n / bs; i++) {
      PetscCheck(nnz[i] >= 0, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nnz cannot be less than 0: local row %" PetscInt_FMT " value %" PetscInt_FMT, i, nnz[i]);
      PetscCheck(nnz[i] <= A->cmap->n / bs, PETSC_COMM_SELF, PETSC_ERR_ARG_OUTOFRANGE, "nnz cannot be greater than row length: local row %" PetscInt_FMT " value %" PetscInt_FMT " rowlength %" PetscInt_FMT, i, nnz[i], A->cmap->n / bs);
    }
  }
  bmat->mbs = A->rmap->n / bs;

  PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, bs, NULL, &bmat->right));
  PetscCall(VecCreateSeqWithArray(PETSC_COMM_SELF, 1, bs, NULL, &bmat->middle));
  PetscCall(VecCreateSeq(PETSC_COMM_SELF, bs, &bmat->left));

  if (!bmat->imax) PetscCall(PetscMalloc2(A->rmap->n, &bmat->imax, A->rmap->n, &bmat->ilen));
  PetscCheck(PetscLikely(nnz), PETSC_COMM_SELF, PETSC_ERR_SUP, "Currently requires block row by row preallocation");
  nz = 0;
  for (i = 0; i < A->rmap->n / A->rmap->bs; i++) {
    bmat->imax[i] = nnz[i];
    nz += nnz[i];
  }

  /* bmat->ilen will count nonzeros in each row so far. */
  PetscCall(PetscArrayzero(bmat->ilen, bmat->mbs));

  /* allocate the matrix space */
  PetscCall(MatSeqXAIJFreeAIJ(A, (PetscScalar **)&bmat->a, &bmat->j, &bmat->i));
  PetscCall(PetscShmgetAllocateArray(nz, sizeof(PetscScalar), (void **)&bmat->a));
  PetscCall(PetscShmgetAllocateArray(nz, sizeof(PetscInt), (void **)&bmat->j));
  PetscCall(PetscShmgetAllocateArray(A->rmap->n + 1, sizeof(PetscInt), (void **)&bmat->i));
  bmat->free_a  = PETSC_TRUE;
  bmat->free_ij = PETSC_TRUE;

  bmat->i[0] = 0;
  for (i = 1; i < bmat->mbs + 1; i++) bmat->i[i] = bmat->i[i - 1] + bmat->imax[i - 1];

  bmat->nz            = 0;
  bmat->maxnz         = nz;
  A->info.nz_unneeded = (double)bmat->maxnz;
  PetscCall(MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_TRUE));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*MC
   MATBLOCKMAT - A matrix that is defined by a set of `Mat`'s that represents a sparse block matrix
                 consisting of (usually) sparse blocks.

  Level: advanced

.seealso: [](ch_matrices), `Mat`, `MatCreateBlockMat()`
M*/

PETSC_EXTERN PetscErrorCode MatCreate_BlockMat(Mat A)
{
  Mat_BlockMat *b;

  PetscFunctionBegin;
  PetscCall(PetscNew(&b));
  A->data         = (void *)b;
  A->ops[0]       = MatOps_Values;
  A->assembled    = PETSC_TRUE;
  A->preallocated = PETSC_FALSE;
  PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATBLOCKMAT));

  PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatBlockMatSetPreallocation_C", MatBlockMatSetPreallocation_BlockMat));
  PetscFunctionReturn(PETSC_SUCCESS);
}

/*@C
  MatCreateBlockMat - Creates a new matrix in which each block contains a uniform-size sequential `Mat` object

  Collective

  Input Parameters:
+ comm - MPI communicator
. m    - number of rows
. n    - number of columns
. bs   - size of each submatrix
. nz   - expected maximum number of nonzero blocks in row (use `PETSC_DEFAULT` if not known)
- nnz  - expected number of nonzers per block row if known (use `NULL` otherwise)

  Output Parameter:
. A - the matrix

  Level: intermediate

  Notes:
  Matrices of this type are nominally-sparse matrices in which each "entry" is a `Mat` object.  Each `Mat` must
  have the same size and be sequential.  The local and global sizes must be compatible with this decomposition.

  For matrices containing parallel submatrices and variable block sizes, see `MATNEST`.

  Developer Notes:
  I don't like the name, it is not `MATNESTMAT`

.seealso: [](ch_matrices), `Mat`, `MATBLOCKMAT`, `MatCreateNest()`
@*/
PetscErrorCode MatCreateBlockMat(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt bs, PetscInt nz, PetscInt *nnz, Mat *A)
{
  PetscFunctionBegin;
  PetscCall(MatCreate(comm, A));
  PetscCall(MatSetSizes(*A, m, n, PETSC_DETERMINE, PETSC_DETERMINE));
  PetscCall(MatSetType(*A, MATBLOCKMAT));
  PetscCall(MatBlockMatSetPreallocation(*A, bs, nz, nnz));
  PetscFunctionReturn(PETSC_SUCCESS);
}