xref: /petsc/src/mat/impls/baij/seq/baijsolvnat11.c (revision 9371c9d470a9602b6d10a8bf50c9b2280a79e45a)

#include <../src/mat/impls/baij/seq/baij.h>
#include <petsc/private/kernels/blockinvert.h>

/* Block operations are done by accessing one column at at time */
/* Default MatSolve for block size 11 */

PetscErrorCode MatSolve_SeqBAIJ_11_NaturalOrdering(Mat A, Vec bb, Vec xx) {
  Mat_SeqBAIJ       *a = (Mat_SeqBAIJ *)A->data;
  const PetscInt     n = a->mbs, *ai = a->i, *aj = a->j, *adiag = a->diag, *vi, bs = A->rmap->bs, bs2 = a->bs2;
  PetscInt           i, k, nz, idx, idt, m;
  const MatScalar   *aa = a->a, *v;
  PetscScalar        s[11];
  PetscScalar       *x, xv;
  const PetscScalar *b;

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

  /* forward solve the lower triangular */
  for (i = 0; i < n; i++) {
    v           = aa + bs2 * ai[i];
    vi          = aj + ai[i];
    nz          = ai[i + 1] - ai[i];
    idt         = bs * i;
    x[idt]      = b[idt];
    x[1 + idt]  = b[1 + idt];
    x[2 + idt]  = b[2 + idt];
    x[3 + idt]  = b[3 + idt];
    x[4 + idt]  = b[4 + idt];
    x[5 + idt]  = b[5 + idt];
    x[6 + idt]  = b[6 + idt];
    x[7 + idt]  = b[7 + idt];
    x[8 + idt]  = b[8 + idt];
    x[9 + idt]  = b[9 + idt];
    x[10 + idt] = b[10 + idt];
    for (m = 0; m < nz; m++) {
      idx = bs * vi[m];
      for (k = 0; k < 11; k++) {
        xv = x[k + idx];
        x[idt] -= v[0] * xv;
        x[1 + idt] -= v[1] * xv;
        x[2 + idt] -= v[2] * xv;
        x[3 + idt] -= v[3] * xv;
        x[4 + idt] -= v[4] * xv;
        x[5 + idt] -= v[5] * xv;
        x[6 + idt] -= v[6] * xv;
        x[7 + idt] -= v[7] * xv;
        x[8 + idt] -= v[8] * xv;
        x[9 + idt] -= v[9] * xv;
        x[10 + idt] -= v[10] * xv;
        v += 11;
      }
    }
  }
  /* backward solve the upper triangular */
  for (i = n - 1; i >= 0; i--) {
    v     = aa + bs2 * (adiag[i + 1] + 1);
    vi    = aj + adiag[i + 1] + 1;
    nz    = adiag[i] - adiag[i + 1] - 1;
    idt   = bs * i;
    s[0]  = x[idt];
    s[1]  = x[1 + idt];
    s[2]  = x[2 + idt];
    s[3]  = x[3 + idt];
    s[4]  = x[4 + idt];
    s[5]  = x[5 + idt];
    s[6]  = x[6 + idt];
    s[7]  = x[7 + idt];
    s[8]  = x[8 + idt];
    s[9]  = x[9 + idt];
    s[10] = x[10 + idt];

    for (m = 0; m < nz; m++) {
      idx = bs * vi[m];
      for (k = 0; k < 11; k++) {
        xv = x[k + idx];
        s[0] -= v[0] * xv;
        s[1] -= v[1] * xv;
        s[2] -= v[2] * xv;
        s[3] -= v[3] * xv;
        s[4] -= v[4] * xv;
        s[5] -= v[5] * xv;
        s[6] -= v[6] * xv;
        s[7] -= v[7] * xv;
        s[8] -= v[8] * xv;
        s[9] -= v[9] * xv;
        s[10] -= v[10] * xv;
        v += 11;
      }
    }
    PetscCall(PetscArrayzero(x + idt, bs));
    for (k = 0; k < 11; k++) {
      x[idt] += v[0] * s[k];
      x[1 + idt] += v[1] * s[k];
      x[2 + idt] += v[2] * s[k];
      x[3 + idt] += v[3] * s[k];
      x[4 + idt] += v[4] * s[k];
      x[5 + idt] += v[5] * s[k];
      x[6 + idt] += v[6] * s[k];
      x[7 + idt] += v[7] * s[k];
      x[8 + idt] += v[8] * s[k];
      x[9 + idt] += v[9] * s[k];
      x[10 + idt] += v[10] * s[k];
      v += 11;
    }
  }
  PetscCall(VecRestoreArrayRead(bb, &b));
  PetscCall(VecRestoreArray(xx, &x));
  PetscCall(PetscLogFlops(2.0 * bs2 * (a->nz) - bs * A->cmap->n));
  PetscFunctionReturn(0);
}