#include <../src/mat/impls/baij/seq/baij.h> #include /* Special case where the matrix was ILU(0) factored in the natural ordering. This eliminates the need for the column and row permutation. */ PetscErrorCode MatSolve_SeqBAIJ_3_NaturalOrdering_inplace(Mat A, Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; const PetscInt n = a->mbs, *ai = a->i, *aj = a->j; const PetscInt *diag = a->diag, *vi; const MatScalar *aa = a->a, *v; PetscScalar *x, s1, s2, s3, x1, x2, x3; const PetscScalar *b; PetscInt jdx, idt, idx, nz, i; PetscFunctionBegin; PetscCall(VecGetArrayRead(bb, &b)); PetscCall(VecGetArray(xx, &x)); /* forward solve the lower triangular */ idx = 0; x[0] = b[0]; x[1] = b[1]; x[2] = b[2]; for (i = 1; i < n; i++) { v = aa + 9 * ai[i]; vi = aj + ai[i]; nz = diag[i] - ai[i]; idx += 3; s1 = b[idx]; s2 = b[1 + idx]; s3 = b[2 + idx]; while (nz--) { jdx = 3 * (*vi++); x1 = x[jdx]; x2 = x[1 + jdx]; x3 = x[2 + jdx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += 9; } x[idx] = s1; x[1 + idx] = s2; x[2 + idx] = s3; } /* backward solve the upper triangular */ for (i = n - 1; i >= 0; i--) { v = aa + 9 * diag[i] + 9; vi = aj + diag[i] + 1; nz = ai[i + 1] - diag[i] - 1; idt = 3 * i; s1 = x[idt]; s2 = x[1 + idt]; s3 = x[2 + idt]; while (nz--) { idx = 3 * (*vi++); x1 = x[idx]; x2 = x[1 + idx]; x3 = x[2 + idx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += 9; } v = aa + 9 * diag[i]; x[idt] = v[0] * s1 + v[3] * s2 + v[6] * s3; x[1 + idt] = v[1] * s1 + v[4] * s2 + v[7] * s3; x[2 + idt] = v[2] * s1 + v[5] * s2 + v[8] * s3; } PetscCall(VecRestoreArrayRead(bb, &b)); PetscCall(VecRestoreArray(xx, &x)); PetscCall(PetscLogFlops(2.0 * 9 * (a->nz) - 3.0 * A->cmap->n)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode MatSolve_SeqBAIJ_3_NaturalOrdering(Mat A, Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; const PetscInt n = a->mbs, *vi, *ai = a->i, *aj = a->j, *adiag = a->diag; PetscInt i, k, nz, idx, jdx, idt; const PetscInt bs = A->rmap->bs, bs2 = a->bs2; const MatScalar *aa = a->a, *v; PetscScalar *x; const PetscScalar *b; PetscScalar s1, s2, s3, x1, x2, x3; PetscFunctionBegin; PetscCall(VecGetArrayRead(bb, &b)); PetscCall(VecGetArray(xx, &x)); /* forward solve the lower triangular */ idx = 0; x[0] = b[idx]; x[1] = b[1 + idx]; x[2] = b[2 + idx]; for (i = 1; i < n; i++) { v = aa + bs2 * ai[i]; vi = aj + ai[i]; nz = ai[i + 1] - ai[i]; idx = bs * i; s1 = b[idx]; s2 = b[1 + idx]; s3 = b[2 + idx]; for (k = 0; k < nz; k++) { jdx = bs * vi[k]; x1 = x[jdx]; x2 = x[1 + jdx]; x3 = x[2 + jdx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += bs2; } x[idx] = s1; x[1 + idx] = s2; x[2 + idx] = s3; } /* 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; s1 = x[idt]; s2 = x[1 + idt]; s3 = x[2 + idt]; for (k = 0; k < nz; k++) { idx = bs * vi[k]; x1 = x[idx]; x2 = x[1 + idx]; x3 = x[2 + idx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += bs2; } /* x = inv_diagonal*x */ x[idt] = v[0] * s1 + v[3] * s2 + v[6] * s3; x[1 + idt] = v[1] * s1 + v[4] * s2 + v[7] * s3; x[2 + idt] = v[2] * s1 + v[5] * s2 + v[8] * s3; } PetscCall(VecRestoreArrayRead(bb, &b)); PetscCall(VecRestoreArray(xx, &x)); PetscCall(PetscLogFlops(2.0 * bs2 * (a->nz) - bs * A->cmap->n)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode MatForwardSolve_SeqBAIJ_3_NaturalOrdering(Mat A, Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; const PetscInt n = a->mbs, *vi, *ai = a->i, *aj = a->j; PetscInt i, k, nz, idx, jdx; const PetscInt bs = A->rmap->bs, bs2 = a->bs2; const MatScalar *aa = a->a, *v; PetscScalar *x; const PetscScalar *b; PetscScalar s1, s2, s3, x1, x2, x3; PetscFunctionBegin; PetscCall(VecGetArrayRead(bb, &b)); PetscCall(VecGetArray(xx, &x)); /* forward solve the lower triangular */ idx = 0; x[0] = b[idx]; x[1] = b[1 + idx]; x[2] = b[2 + idx]; for (i = 1; i < n; i++) { v = aa + bs2 * ai[i]; vi = aj + ai[i]; nz = ai[i + 1] - ai[i]; idx = bs * i; s1 = b[idx]; s2 = b[1 + idx]; s3 = b[2 + idx]; for (k = 0; k < nz; k++) { jdx = bs * vi[k]; x1 = x[jdx]; x2 = x[1 + jdx]; x3 = x[2 + jdx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += bs2; } x[idx] = s1; x[1 + idx] = s2; x[2 + idx] = s3; } PetscCall(VecRestoreArrayRead(bb, &b)); PetscCall(VecRestoreArray(xx, &x)); PetscCall(PetscLogFlops(1.0 * bs2 * (a->nz) - bs * A->cmap->n)); PetscFunctionReturn(PETSC_SUCCESS); } PetscErrorCode MatBackwardSolve_SeqBAIJ_3_NaturalOrdering(Mat A, Vec bb, Vec xx) { Mat_SeqBAIJ *a = (Mat_SeqBAIJ *)A->data; const PetscInt n = a->mbs, *vi, *aj = a->j, *adiag = a->diag; PetscInt i, k, nz, idx, idt; const PetscInt bs = A->rmap->bs, bs2 = a->bs2; const MatScalar *aa = a->a, *v; PetscScalar *x; const PetscScalar *b; PetscScalar s1, s2, s3, x1, x2, x3; PetscFunctionBegin; PetscCall(VecGetArrayRead(bb, &b)); PetscCall(VecGetArray(xx, &x)); /* 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; s1 = b[idt]; s2 = b[1 + idt]; s3 = b[2 + idt]; for (k = 0; k < nz; k++) { idx = bs * vi[k]; x1 = x[idx]; x2 = x[1 + idx]; x3 = x[2 + idx]; s1 -= v[0] * x1 + v[3] * x2 + v[6] * x3; s2 -= v[1] * x1 + v[4] * x2 + v[7] * x3; s3 -= v[2] * x1 + v[5] * x2 + v[8] * x3; v += bs2; } /* x = inv_diagonal*x */ x[idt] = v[0] * s1 + v[3] * s2 + v[6] * s3; x[1 + idt] = v[1] * s1 + v[4] * s2 + v[7] * s3; x[2 + idt] = v[2] * s1 + v[5] * s2 + v[8] * s3; } PetscCall(VecRestoreArrayRead(bb, &b)); PetscCall(VecRestoreArray(xx, &x)); PetscCall(PetscLogFlops(2.0 * bs2 * (a->nz) - bs * A->cmap->n)); PetscFunctionReturn(PETSC_SUCCESS); }