/* Defines the basic matrix operations for the MAIJ matrix storage format. This format is used for restriction and interpolation operations for multicomponent problems. It interpolates each component the same way independently. We provide: MatMult() MatMultTranspose() MatMultTransposeAdd() MatMultAdd() and MatCreateMAIJ(Mat,dof,Mat*) This single directory handles both the sequential and parallel codes */ #include <../src/mat/impls/maij/maij.h> /*I "petscmat.h" I*/ #include <../src/mat/utils/freespace.h> /*@ MatMAIJGetAIJ - Get the AIJ matrix describing the blockwise action of the MAIJ matrix Not Collective, but if the MAIJ matrix is parallel, the AIJ matrix is also parallel Input Parameter: . A - the MAIJ matrix Output Parameter: . B - the AIJ matrix Level: advanced Notes: The reference count on the AIJ matrix is not increased so you should not destroy it. .seealso: `MatCreateMAIJ()` @*/ PetscErrorCode MatMAIJGetAIJ(Mat A, Mat *B) { PetscBool ismpimaij, isseqmaij; PetscFunctionBegin; PetscCall(PetscObjectTypeCompare((PetscObject)A, MATMPIMAIJ, &ismpimaij)); PetscCall(PetscObjectTypeCompare((PetscObject)A, MATSEQMAIJ, &isseqmaij)); if (ismpimaij) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; *B = b->A; } else if (isseqmaij) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; *B = b->AIJ; } else { *B = A; } PetscFunctionReturn(0); } /*@ MatMAIJRedimension - Get an MAIJ matrix with the same action, but for a different block size Logically Collective Input Parameters: + A - the MAIJ matrix - dof - the block size for the new matrix Output Parameter: . B - the new MAIJ matrix Level: advanced .seealso: `MatCreateMAIJ()` @*/ PetscErrorCode MatMAIJRedimension(Mat A, PetscInt dof, Mat *B) { Mat Aij = NULL; PetscFunctionBegin; PetscValidLogicalCollectiveInt(A, dof, 2); PetscCall(MatMAIJGetAIJ(A, &Aij)); PetscCall(MatCreateMAIJ(Aij, dof, B)); PetscFunctionReturn(0); } PetscErrorCode MatDestroy_SeqMAIJ(Mat A) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; PetscFunctionBegin; PetscCall(MatDestroy(&b->AIJ)); PetscCall(PetscFree(A->data)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqmaij_seqaijcusparse_C", NULL)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_seqmaij_seqaij_C", NULL)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatProductSetFromOptions_seqaij_seqmaij_C", NULL)); PetscFunctionReturn(0); } PetscErrorCode MatSetUp_MAIJ(Mat A) { PetscFunctionBegin; SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "Must use MatCreateMAIJ() to create MAIJ matrices"); } PetscErrorCode MatView_SeqMAIJ(Mat A, PetscViewer viewer) { Mat B; PetscFunctionBegin; PetscCall(MatConvert(A, MATSEQAIJ, MAT_INITIAL_MATRIX, &B)); PetscCall(MatView(B, viewer)); PetscCall(MatDestroy(&B)); PetscFunctionReturn(0); } PetscErrorCode MatView_MPIMAIJ(Mat A, PetscViewer viewer) { Mat B; PetscFunctionBegin; PetscCall(MatConvert(A, MATMPIAIJ, MAT_INITIAL_MATRIX, &B)); PetscCall(MatView(B, viewer)); PetscCall(MatDestroy(&B)); PetscFunctionReturn(0); } PetscErrorCode MatDestroy_MPIMAIJ(Mat A) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; PetscFunctionBegin; PetscCall(MatDestroy(&b->AIJ)); PetscCall(MatDestroy(&b->OAIJ)); PetscCall(MatDestroy(&b->A)); PetscCall(VecScatterDestroy(&b->ctx)); PetscCall(VecDestroy(&b->w)); PetscCall(PetscFree(A->data)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_mpimaij_mpiaijcusparse_C", NULL)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatConvert_mpimaij_mpiaij_C", NULL)); PetscCall(PetscObjectComposeFunction((PetscObject)A, "MatProductSetFromOptions_mpiaij_mpimaij_C", NULL)); PetscCall(PetscObjectChangeTypeName((PetscObject)A, NULL)); PetscFunctionReturn(0); } /*MC MATMAIJ - MATMAIJ = "maij" - A matrix type to be used for restriction and interpolation operations for multicomponent problems, interpolating or restricting each component the same way independently. The matrix type is based on MATSEQAIJ for sequential matrices, and MATMPIAIJ for distributed matrices. Operations provided: .vb MatMult MatMultTranspose MatMultAdd MatMultTransposeAdd .ve Level: advanced .seealso: `MatMAIJGetAIJ()`, `MatMAIJRedimension()`, `MatCreateMAIJ()` M*/ PETSC_EXTERN PetscErrorCode MatCreate_MAIJ(Mat A) { Mat_MPIMAIJ *b; PetscMPIInt size; PetscFunctionBegin; PetscCall(PetscNewLog(A, &b)); A->data = (void *)b; PetscCall(PetscMemzero(A->ops, sizeof(struct _MatOps))); A->ops->setup = MatSetUp_MAIJ; b->AIJ = NULL; b->dof = 0; b->OAIJ = NULL; b->ctx = NULL; b->w = NULL; PetscCallMPI(MPI_Comm_size(PetscObjectComm((PetscObject)A), &size)); if (size == 1) { PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATSEQMAIJ)); } else { PetscCall(PetscObjectChangeTypeName((PetscObject)A, MATMPIMAIJ)); } A->preallocated = PETSC_TRUE; A->assembled = PETSC_TRUE; PetscFunctionReturn(0); } /* --------------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_2(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2; PetscInt nonzerorow = 0, n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[2 * idx[jrow]]; sum2 += v[jrow] * x[2 * idx[jrow] + 1]; jrow++; } y[2 * i] = sum1; y[2 * i + 1] = sum2; } PetscCall(PetscLogFlops(4.0 * a->nz - 2.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_2(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[2 * i]; alpha2 = x[2 * i + 1]; while (n-- > 0) { y[2 * (*idx)] += alpha1 * (*v); y[2 * (*idx) + 1] += alpha2 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(4.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_2(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2; PetscInt n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[2 * idx[jrow]]; sum2 += v[jrow] * x[2 * idx[jrow] + 1]; jrow++; } y[2 * i] += sum1; y[2 * i + 1] += sum2; } PetscCall(PetscLogFlops(4.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_2(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[2 * i]; alpha2 = x[2 * i + 1]; while (n-- > 0) { y[2 * (*idx)] += alpha1 * (*v); y[2 * (*idx) + 1] += alpha2 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(4.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* --------------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_3(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3; PetscInt nonzerorow = 0, n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[3 * idx[jrow]]; sum2 += v[jrow] * x[3 * idx[jrow] + 1]; sum3 += v[jrow] * x[3 * idx[jrow] + 2]; jrow++; } y[3 * i] = sum1; y[3 * i + 1] = sum2; y[3 * i + 2] = sum3; } PetscCall(PetscLogFlops(6.0 * a->nz - 3.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_3(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[3 * i]; alpha2 = x[3 * i + 1]; alpha3 = x[3 * i + 2]; while (n-- > 0) { y[3 * (*idx)] += alpha1 * (*v); y[3 * (*idx) + 1] += alpha2 * (*v); y[3 * (*idx) + 2] += alpha3 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(6.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_3(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3; PetscInt n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[3 * idx[jrow]]; sum2 += v[jrow] * x[3 * idx[jrow] + 1]; sum3 += v[jrow] * x[3 * idx[jrow] + 2]; jrow++; } y[3 * i] += sum1; y[3 * i + 1] += sum2; y[3 * i + 2] += sum3; } PetscCall(PetscLogFlops(6.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_3(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[3 * i]; alpha2 = x[3 * i + 1]; alpha3 = x[3 * i + 2]; while (n-- > 0) { y[3 * (*idx)] += alpha1 * (*v); y[3 * (*idx) + 1] += alpha2 * (*v); y[3 * (*idx) + 2] += alpha3 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(6.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_4(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4; PetscInt nonzerorow = 0, n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[4 * idx[jrow]]; sum2 += v[jrow] * x[4 * idx[jrow] + 1]; sum3 += v[jrow] * x[4 * idx[jrow] + 2]; sum4 += v[jrow] * x[4 * idx[jrow] + 3]; jrow++; } y[4 * i] = sum1; y[4 * i + 1] = sum2; y[4 * i + 2] = sum3; y[4 * i + 3] = sum4; } PetscCall(PetscLogFlops(8.0 * a->nz - 4.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_4(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[4 * i]; alpha2 = x[4 * i + 1]; alpha3 = x[4 * i + 2]; alpha4 = x[4 * i + 3]; while (n-- > 0) { y[4 * (*idx)] += alpha1 * (*v); y[4 * (*idx) + 1] += alpha2 * (*v); y[4 * (*idx) + 2] += alpha3 * (*v); y[4 * (*idx) + 3] += alpha4 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(8.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_4(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4; PetscInt n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[4 * idx[jrow]]; sum2 += v[jrow] * x[4 * idx[jrow] + 1]; sum3 += v[jrow] * x[4 * idx[jrow] + 2]; sum4 += v[jrow] * x[4 * idx[jrow] + 3]; jrow++; } y[4 * i] += sum1; y[4 * i + 1] += sum2; y[4 * i + 2] += sum3; y[4 * i + 3] += sum4; } PetscCall(PetscLogFlops(8.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_4(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[4 * i]; alpha2 = x[4 * i + 1]; alpha3 = x[4 * i + 2]; alpha4 = x[4 * i + 3]; while (n-- > 0) { y[4 * (*idx)] += alpha1 * (*v); y[4 * (*idx) + 1] += alpha2 * (*v); y[4 * (*idx) + 2] += alpha3 * (*v); y[4 * (*idx) + 3] += alpha4 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(8.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_5(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5; PetscInt nonzerorow = 0, n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[5 * idx[jrow]]; sum2 += v[jrow] * x[5 * idx[jrow] + 1]; sum3 += v[jrow] * x[5 * idx[jrow] + 2]; sum4 += v[jrow] * x[5 * idx[jrow] + 3]; sum5 += v[jrow] * x[5 * idx[jrow] + 4]; jrow++; } y[5 * i] = sum1; y[5 * i + 1] = sum2; y[5 * i + 2] = sum3; y[5 * i + 3] = sum4; y[5 * i + 4] = sum5; } PetscCall(PetscLogFlops(10.0 * a->nz - 5.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_5(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[5 * i]; alpha2 = x[5 * i + 1]; alpha3 = x[5 * i + 2]; alpha4 = x[5 * i + 3]; alpha5 = x[5 * i + 4]; while (n-- > 0) { y[5 * (*idx)] += alpha1 * (*v); y[5 * (*idx) + 1] += alpha2 * (*v); y[5 * (*idx) + 2] += alpha3 * (*v); y[5 * (*idx) + 3] += alpha4 * (*v); y[5 * (*idx) + 4] += alpha5 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(10.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_5(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5; PetscInt n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[5 * idx[jrow]]; sum2 += v[jrow] * x[5 * idx[jrow] + 1]; sum3 += v[jrow] * x[5 * idx[jrow] + 2]; sum4 += v[jrow] * x[5 * idx[jrow] + 3]; sum5 += v[jrow] * x[5 * idx[jrow] + 4]; jrow++; } y[5 * i] += sum1; y[5 * i + 1] += sum2; y[5 * i + 2] += sum3; y[5 * i + 3] += sum4; y[5 * i + 4] += sum5; } PetscCall(PetscLogFlops(10.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_5(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[5 * i]; alpha2 = x[5 * i + 1]; alpha3 = x[5 * i + 2]; alpha4 = x[5 * i + 3]; alpha5 = x[5 * i + 4]; while (n-- > 0) { y[5 * (*idx)] += alpha1 * (*v); y[5 * (*idx) + 1] += alpha2 * (*v); y[5 * (*idx) + 2] += alpha3 * (*v); y[5 * (*idx) + 3] += alpha4 * (*v); y[5 * (*idx) + 4] += alpha5 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(10.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_6(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6; PetscInt nonzerorow = 0, n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[6 * idx[jrow]]; sum2 += v[jrow] * x[6 * idx[jrow] + 1]; sum3 += v[jrow] * x[6 * idx[jrow] + 2]; sum4 += v[jrow] * x[6 * idx[jrow] + 3]; sum5 += v[jrow] * x[6 * idx[jrow] + 4]; sum6 += v[jrow] * x[6 * idx[jrow] + 5]; jrow++; } y[6 * i] = sum1; y[6 * i + 1] = sum2; y[6 * i + 2] = sum3; y[6 * i + 3] = sum4; y[6 * i + 4] = sum5; y[6 * i + 5] = sum6; } PetscCall(PetscLogFlops(12.0 * a->nz - 6.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_6(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[6 * i]; alpha2 = x[6 * i + 1]; alpha3 = x[6 * i + 2]; alpha4 = x[6 * i + 3]; alpha5 = x[6 * i + 4]; alpha6 = x[6 * i + 5]; while (n-- > 0) { y[6 * (*idx)] += alpha1 * (*v); y[6 * (*idx) + 1] += alpha2 * (*v); y[6 * (*idx) + 2] += alpha3 * (*v); y[6 * (*idx) + 3] += alpha4 * (*v); y[6 * (*idx) + 4] += alpha5 * (*v); y[6 * (*idx) + 5] += alpha6 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(12.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_6(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6; PetscInt n, i, jrow, j; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[6 * idx[jrow]]; sum2 += v[jrow] * x[6 * idx[jrow] + 1]; sum3 += v[jrow] * x[6 * idx[jrow] + 2]; sum4 += v[jrow] * x[6 * idx[jrow] + 3]; sum5 += v[jrow] * x[6 * idx[jrow] + 4]; sum6 += v[jrow] * x[6 * idx[jrow] + 5]; jrow++; } y[6 * i] += sum1; y[6 * i + 1] += sum2; y[6 * i + 2] += sum3; y[6 * i + 3] += sum4; y[6 * i + 4] += sum5; y[6 * i + 5] += sum6; } PetscCall(PetscLogFlops(12.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_6(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6; PetscInt n, i; const PetscInt m = b->AIJ->rmap->n, *idx; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[6 * i]; alpha2 = x[6 * i + 1]; alpha3 = x[6 * i + 2]; alpha4 = x[6 * i + 3]; alpha5 = x[6 * i + 4]; alpha6 = x[6 * i + 5]; while (n-- > 0) { y[6 * (*idx)] += alpha1 * (*v); y[6 * (*idx) + 1] += alpha2 * (*v); y[6 * (*idx) + 2] += alpha3 * (*v); y[6 * (*idx) + 3] += alpha4 * (*v); y[6 * (*idx) + 4] += alpha5 * (*v); y[6 * (*idx) + 5] += alpha6 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(12.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_7(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[7 * idx[jrow]]; sum2 += v[jrow] * x[7 * idx[jrow] + 1]; sum3 += v[jrow] * x[7 * idx[jrow] + 2]; sum4 += v[jrow] * x[7 * idx[jrow] + 3]; sum5 += v[jrow] * x[7 * idx[jrow] + 4]; sum6 += v[jrow] * x[7 * idx[jrow] + 5]; sum7 += v[jrow] * x[7 * idx[jrow] + 6]; jrow++; } y[7 * i] = sum1; y[7 * i + 1] = sum2; y[7 * i + 2] = sum3; y[7 * i + 3] = sum4; y[7 * i + 4] = sum5; y[7 * i + 5] = sum6; y[7 * i + 6] = sum7; } PetscCall(PetscLogFlops(14.0 * a->nz - 7.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_7(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[7 * i]; alpha2 = x[7 * i + 1]; alpha3 = x[7 * i + 2]; alpha4 = x[7 * i + 3]; alpha5 = x[7 * i + 4]; alpha6 = x[7 * i + 5]; alpha7 = x[7 * i + 6]; while (n-- > 0) { y[7 * (*idx)] += alpha1 * (*v); y[7 * (*idx) + 1] += alpha2 * (*v); y[7 * (*idx) + 2] += alpha3 * (*v); y[7 * (*idx) + 3] += alpha4 * (*v); y[7 * (*idx) + 4] += alpha5 * (*v); y[7 * (*idx) + 5] += alpha6 * (*v); y[7 * (*idx) + 6] += alpha7 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(14.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_7(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[7 * idx[jrow]]; sum2 += v[jrow] * x[7 * idx[jrow] + 1]; sum3 += v[jrow] * x[7 * idx[jrow] + 2]; sum4 += v[jrow] * x[7 * idx[jrow] + 3]; sum5 += v[jrow] * x[7 * idx[jrow] + 4]; sum6 += v[jrow] * x[7 * idx[jrow] + 5]; sum7 += v[jrow] * x[7 * idx[jrow] + 6]; jrow++; } y[7 * i] += sum1; y[7 * i + 1] += sum2; y[7 * i + 2] += sum3; y[7 * i + 3] += sum4; y[7 * i + 4] += sum5; y[7 * i + 5] += sum6; y[7 * i + 6] += sum7; } PetscCall(PetscLogFlops(14.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_7(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[7 * i]; alpha2 = x[7 * i + 1]; alpha3 = x[7 * i + 2]; alpha4 = x[7 * i + 3]; alpha5 = x[7 * i + 4]; alpha6 = x[7 * i + 5]; alpha7 = x[7 * i + 6]; while (n-- > 0) { y[7 * (*idx)] += alpha1 * (*v); y[7 * (*idx) + 1] += alpha2 * (*v); y[7 * (*idx) + 2] += alpha3 * (*v); y[7 * (*idx) + 3] += alpha4 * (*v); y[7 * (*idx) + 4] += alpha5 * (*v); y[7 * (*idx) + 5] += alpha6 * (*v); y[7 * (*idx) + 6] += alpha7 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(14.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMult_SeqMAIJ_8(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[8 * idx[jrow]]; sum2 += v[jrow] * x[8 * idx[jrow] + 1]; sum3 += v[jrow] * x[8 * idx[jrow] + 2]; sum4 += v[jrow] * x[8 * idx[jrow] + 3]; sum5 += v[jrow] * x[8 * idx[jrow] + 4]; sum6 += v[jrow] * x[8 * idx[jrow] + 5]; sum7 += v[jrow] * x[8 * idx[jrow] + 6]; sum8 += v[jrow] * x[8 * idx[jrow] + 7]; jrow++; } y[8 * i] = sum1; y[8 * i + 1] = sum2; y[8 * i + 2] = sum3; y[8 * i + 3] = sum4; y[8 * i + 4] = sum5; y[8 * i + 5] = sum6; y[8 * i + 6] = sum7; y[8 * i + 7] = sum8; } PetscCall(PetscLogFlops(16.0 * a->nz - 8.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_8(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[8 * i]; alpha2 = x[8 * i + 1]; alpha3 = x[8 * i + 2]; alpha4 = x[8 * i + 3]; alpha5 = x[8 * i + 4]; alpha6 = x[8 * i + 5]; alpha7 = x[8 * i + 6]; alpha8 = x[8 * i + 7]; while (n-- > 0) { y[8 * (*idx)] += alpha1 * (*v); y[8 * (*idx) + 1] += alpha2 * (*v); y[8 * (*idx) + 2] += alpha3 * (*v); y[8 * (*idx) + 3] += alpha4 * (*v); y[8 * (*idx) + 4] += alpha5 * (*v); y[8 * (*idx) + 5] += alpha6 * (*v); y[8 * (*idx) + 6] += alpha7 * (*v); y[8 * (*idx) + 7] += alpha8 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(16.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_8(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[8 * idx[jrow]]; sum2 += v[jrow] * x[8 * idx[jrow] + 1]; sum3 += v[jrow] * x[8 * idx[jrow] + 2]; sum4 += v[jrow] * x[8 * idx[jrow] + 3]; sum5 += v[jrow] * x[8 * idx[jrow] + 4]; sum6 += v[jrow] * x[8 * idx[jrow] + 5]; sum7 += v[jrow] * x[8 * idx[jrow] + 6]; sum8 += v[jrow] * x[8 * idx[jrow] + 7]; jrow++; } y[8 * i] += sum1; y[8 * i + 1] += sum2; y[8 * i + 2] += sum3; y[8 * i + 3] += sum4; y[8 * i + 4] += sum5; y[8 * i + 5] += sum6; y[8 * i + 6] += sum7; y[8 * i + 7] += sum8; } PetscCall(PetscLogFlops(16.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_8(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[8 * i]; alpha2 = x[8 * i + 1]; alpha3 = x[8 * i + 2]; alpha4 = x[8 * i + 3]; alpha5 = x[8 * i + 4]; alpha6 = x[8 * i + 5]; alpha7 = x[8 * i + 6]; alpha8 = x[8 * i + 7]; while (n-- > 0) { y[8 * (*idx)] += alpha1 * (*v); y[8 * (*idx) + 1] += alpha2 * (*v); y[8 * (*idx) + 2] += alpha3 * (*v); y[8 * (*idx) + 3] += alpha4 * (*v); y[8 * (*idx) + 4] += alpha5 * (*v); y[8 * (*idx) + 5] += alpha6 * (*v); y[8 * (*idx) + 6] += alpha7 * (*v); y[8 * (*idx) + 7] += alpha8 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(16.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_9(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[9 * idx[jrow]]; sum2 += v[jrow] * x[9 * idx[jrow] + 1]; sum3 += v[jrow] * x[9 * idx[jrow] + 2]; sum4 += v[jrow] * x[9 * idx[jrow] + 3]; sum5 += v[jrow] * x[9 * idx[jrow] + 4]; sum6 += v[jrow] * x[9 * idx[jrow] + 5]; sum7 += v[jrow] * x[9 * idx[jrow] + 6]; sum8 += v[jrow] * x[9 * idx[jrow] + 7]; sum9 += v[jrow] * x[9 * idx[jrow] + 8]; jrow++; } y[9 * i] = sum1; y[9 * i + 1] = sum2; y[9 * i + 2] = sum3; y[9 * i + 3] = sum4; y[9 * i + 4] = sum5; y[9 * i + 5] = sum6; y[9 * i + 6] = sum7; y[9 * i + 7] = sum8; y[9 * i + 8] = sum9; } PetscCall(PetscLogFlops(18.0 * a->nz - 9 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } /* ------------------------------------------------------------------------------*/ PetscErrorCode MatMultTranspose_SeqMAIJ_9(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[9 * i]; alpha2 = x[9 * i + 1]; alpha3 = x[9 * i + 2]; alpha4 = x[9 * i + 3]; alpha5 = x[9 * i + 4]; alpha6 = x[9 * i + 5]; alpha7 = x[9 * i + 6]; alpha8 = x[9 * i + 7]; alpha9 = x[9 * i + 8]; while (n-- > 0) { y[9 * (*idx)] += alpha1 * (*v); y[9 * (*idx) + 1] += alpha2 * (*v); y[9 * (*idx) + 2] += alpha3 * (*v); y[9 * (*idx) + 3] += alpha4 * (*v); y[9 * (*idx) + 4] += alpha5 * (*v); y[9 * (*idx) + 5] += alpha6 * (*v); y[9 * (*idx) + 6] += alpha7 * (*v); y[9 * (*idx) + 7] += alpha8 * (*v); y[9 * (*idx) + 8] += alpha9 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(18.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_9(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[9 * idx[jrow]]; sum2 += v[jrow] * x[9 * idx[jrow] + 1]; sum3 += v[jrow] * x[9 * idx[jrow] + 2]; sum4 += v[jrow] * x[9 * idx[jrow] + 3]; sum5 += v[jrow] * x[9 * idx[jrow] + 4]; sum6 += v[jrow] * x[9 * idx[jrow] + 5]; sum7 += v[jrow] * x[9 * idx[jrow] + 6]; sum8 += v[jrow] * x[9 * idx[jrow] + 7]; sum9 += v[jrow] * x[9 * idx[jrow] + 8]; jrow++; } y[9 * i] += sum1; y[9 * i + 1] += sum2; y[9 * i + 2] += sum3; y[9 * i + 3] += sum4; y[9 * i + 4] += sum5; y[9 * i + 5] += sum6; y[9 * i + 6] += sum7; y[9 * i + 7] += sum8; y[9 * i + 8] += sum9; } PetscCall(PetscLogFlops(18.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_9(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[9 * i]; alpha2 = x[9 * i + 1]; alpha3 = x[9 * i + 2]; alpha4 = x[9 * i + 3]; alpha5 = x[9 * i + 4]; alpha6 = x[9 * i + 5]; alpha7 = x[9 * i + 6]; alpha8 = x[9 * i + 7]; alpha9 = x[9 * i + 8]; while (n-- > 0) { y[9 * (*idx)] += alpha1 * (*v); y[9 * (*idx) + 1] += alpha2 * (*v); y[9 * (*idx) + 2] += alpha3 * (*v); y[9 * (*idx) + 3] += alpha4 * (*v); y[9 * (*idx) + 4] += alpha5 * (*v); y[9 * (*idx) + 5] += alpha6 * (*v); y[9 * (*idx) + 6] += alpha7 * (*v); y[9 * (*idx) + 7] += alpha8 * (*v); y[9 * (*idx) + 8] += alpha9 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(18.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMult_SeqMAIJ_10(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9, sum10; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[10 * idx[jrow]]; sum2 += v[jrow] * x[10 * idx[jrow] + 1]; sum3 += v[jrow] * x[10 * idx[jrow] + 2]; sum4 += v[jrow] * x[10 * idx[jrow] + 3]; sum5 += v[jrow] * x[10 * idx[jrow] + 4]; sum6 += v[jrow] * x[10 * idx[jrow] + 5]; sum7 += v[jrow] * x[10 * idx[jrow] + 6]; sum8 += v[jrow] * x[10 * idx[jrow] + 7]; sum9 += v[jrow] * x[10 * idx[jrow] + 8]; sum10 += v[jrow] * x[10 * idx[jrow] + 9]; jrow++; } y[10 * i] = sum1; y[10 * i + 1] = sum2; y[10 * i + 2] = sum3; y[10 * i + 3] = sum4; y[10 * i + 4] = sum5; y[10 * i + 5] = sum6; y[10 * i + 6] = sum7; y[10 * i + 7] = sum8; y[10 * i + 8] = sum9; y[10 * i + 9] = sum10; } PetscCall(PetscLogFlops(20.0 * a->nz - 10.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_10(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9, sum10; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[10 * idx[jrow]]; sum2 += v[jrow] * x[10 * idx[jrow] + 1]; sum3 += v[jrow] * x[10 * idx[jrow] + 2]; sum4 += v[jrow] * x[10 * idx[jrow] + 3]; sum5 += v[jrow] * x[10 * idx[jrow] + 4]; sum6 += v[jrow] * x[10 * idx[jrow] + 5]; sum7 += v[jrow] * x[10 * idx[jrow] + 6]; sum8 += v[jrow] * x[10 * idx[jrow] + 7]; sum9 += v[jrow] * x[10 * idx[jrow] + 8]; sum10 += v[jrow] * x[10 * idx[jrow] + 9]; jrow++; } y[10 * i] += sum1; y[10 * i + 1] += sum2; y[10 * i + 2] += sum3; y[10 * i + 3] += sum4; y[10 * i + 4] += sum5; y[10 * i + 5] += sum6; y[10 * i + 6] += sum7; y[10 * i + 7] += sum8; y[10 * i + 8] += sum9; y[10 * i + 9] += sum10; } PetscCall(PetscLogFlops(20.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_10(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9, alpha10; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[10 * i]; alpha2 = x[10 * i + 1]; alpha3 = x[10 * i + 2]; alpha4 = x[10 * i + 3]; alpha5 = x[10 * i + 4]; alpha6 = x[10 * i + 5]; alpha7 = x[10 * i + 6]; alpha8 = x[10 * i + 7]; alpha9 = x[10 * i + 8]; alpha10 = x[10 * i + 9]; while (n-- > 0) { y[10 * (*idx)] += alpha1 * (*v); y[10 * (*idx) + 1] += alpha2 * (*v); y[10 * (*idx) + 2] += alpha3 * (*v); y[10 * (*idx) + 3] += alpha4 * (*v); y[10 * (*idx) + 4] += alpha5 * (*v); y[10 * (*idx) + 5] += alpha6 * (*v); y[10 * (*idx) + 6] += alpha7 * (*v); y[10 * (*idx) + 7] += alpha8 * (*v); y[10 * (*idx) + 8] += alpha9 * (*v); y[10 * (*idx) + 9] += alpha10 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(20.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_10(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9, alpha10; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[10 * i]; alpha2 = x[10 * i + 1]; alpha3 = x[10 * i + 2]; alpha4 = x[10 * i + 3]; alpha5 = x[10 * i + 4]; alpha6 = x[10 * i + 5]; alpha7 = x[10 * i + 6]; alpha8 = x[10 * i + 7]; alpha9 = x[10 * i + 8]; alpha10 = x[10 * i + 9]; while (n-- > 0) { y[10 * (*idx)] += alpha1 * (*v); y[10 * (*idx) + 1] += alpha2 * (*v); y[10 * (*idx) + 2] += alpha3 * (*v); y[10 * (*idx) + 3] += alpha4 * (*v); y[10 * (*idx) + 4] += alpha5 * (*v); y[10 * (*idx) + 5] += alpha6 * (*v); y[10 * (*idx) + 6] += alpha7 * (*v); y[10 * (*idx) + 7] += alpha8 * (*v); y[10 * (*idx) + 8] += alpha9 * (*v); y[10 * (*idx) + 9] += alpha10 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(20.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /*--------------------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_11(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9, sum10, sum11; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[11 * idx[jrow]]; sum2 += v[jrow] * x[11 * idx[jrow] + 1]; sum3 += v[jrow] * x[11 * idx[jrow] + 2]; sum4 += v[jrow] * x[11 * idx[jrow] + 3]; sum5 += v[jrow] * x[11 * idx[jrow] + 4]; sum6 += v[jrow] * x[11 * idx[jrow] + 5]; sum7 += v[jrow] * x[11 * idx[jrow] + 6]; sum8 += v[jrow] * x[11 * idx[jrow] + 7]; sum9 += v[jrow] * x[11 * idx[jrow] + 8]; sum10 += v[jrow] * x[11 * idx[jrow] + 9]; sum11 += v[jrow] * x[11 * idx[jrow] + 10]; jrow++; } y[11 * i] = sum1; y[11 * i + 1] = sum2; y[11 * i + 2] = sum3; y[11 * i + 3] = sum4; y[11 * i + 4] = sum5; y[11 * i + 5] = sum6; y[11 * i + 6] = sum7; y[11 * i + 7] = sum8; y[11 * i + 8] = sum9; y[11 * i + 9] = sum10; y[11 * i + 10] = sum11; } PetscCall(PetscLogFlops(22.0 * a->nz - 11 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_11(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8, sum9, sum10, sum11; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[11 * idx[jrow]]; sum2 += v[jrow] * x[11 * idx[jrow] + 1]; sum3 += v[jrow] * x[11 * idx[jrow] + 2]; sum4 += v[jrow] * x[11 * idx[jrow] + 3]; sum5 += v[jrow] * x[11 * idx[jrow] + 4]; sum6 += v[jrow] * x[11 * idx[jrow] + 5]; sum7 += v[jrow] * x[11 * idx[jrow] + 6]; sum8 += v[jrow] * x[11 * idx[jrow] + 7]; sum9 += v[jrow] * x[11 * idx[jrow] + 8]; sum10 += v[jrow] * x[11 * idx[jrow] + 9]; sum11 += v[jrow] * x[11 * idx[jrow] + 10]; jrow++; } y[11 * i] += sum1; y[11 * i + 1] += sum2; y[11 * i + 2] += sum3; y[11 * i + 3] += sum4; y[11 * i + 4] += sum5; y[11 * i + 5] += sum6; y[11 * i + 6] += sum7; y[11 * i + 7] += sum8; y[11 * i + 8] += sum9; y[11 * i + 9] += sum10; y[11 * i + 10] += sum11; } PetscCall(PetscLogFlops(22.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_11(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9, alpha10, alpha11; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[11 * i]; alpha2 = x[11 * i + 1]; alpha3 = x[11 * i + 2]; alpha4 = x[11 * i + 3]; alpha5 = x[11 * i + 4]; alpha6 = x[11 * i + 5]; alpha7 = x[11 * i + 6]; alpha8 = x[11 * i + 7]; alpha9 = x[11 * i + 8]; alpha10 = x[11 * i + 9]; alpha11 = x[11 * i + 10]; while (n-- > 0) { y[11 * (*idx)] += alpha1 * (*v); y[11 * (*idx) + 1] += alpha2 * (*v); y[11 * (*idx) + 2] += alpha3 * (*v); y[11 * (*idx) + 3] += alpha4 * (*v); y[11 * (*idx) + 4] += alpha5 * (*v); y[11 * (*idx) + 5] += alpha6 * (*v); y[11 * (*idx) + 6] += alpha7 * (*v); y[11 * (*idx) + 7] += alpha8 * (*v); y[11 * (*idx) + 8] += alpha9 * (*v); y[11 * (*idx) + 9] += alpha10 * (*v); y[11 * (*idx) + 10] += alpha11 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(22.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_11(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8, alpha9, alpha10, alpha11; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[11 * i]; alpha2 = x[11 * i + 1]; alpha3 = x[11 * i + 2]; alpha4 = x[11 * i + 3]; alpha5 = x[11 * i + 4]; alpha6 = x[11 * i + 5]; alpha7 = x[11 * i + 6]; alpha8 = x[11 * i + 7]; alpha9 = x[11 * i + 8]; alpha10 = x[11 * i + 9]; alpha11 = x[11 * i + 10]; while (n-- > 0) { y[11 * (*idx)] += alpha1 * (*v); y[11 * (*idx) + 1] += alpha2 * (*v); y[11 * (*idx) + 2] += alpha3 * (*v); y[11 * (*idx) + 3] += alpha4 * (*v); y[11 * (*idx) + 4] += alpha5 * (*v); y[11 * (*idx) + 5] += alpha6 * (*v); y[11 * (*idx) + 6] += alpha7 * (*v); y[11 * (*idx) + 7] += alpha8 * (*v); y[11 * (*idx) + 8] += alpha9 * (*v); y[11 * (*idx) + 9] += alpha10 * (*v); y[11 * (*idx) + 10] += alpha11 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(22.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /*--------------------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_16(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; PetscScalar sum9, sum10, sum11, sum12, sum13, sum14, sum15, sum16; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; sum12 = 0.0; sum13 = 0.0; sum14 = 0.0; sum15 = 0.0; sum16 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[16 * idx[jrow]]; sum2 += v[jrow] * x[16 * idx[jrow] + 1]; sum3 += v[jrow] * x[16 * idx[jrow] + 2]; sum4 += v[jrow] * x[16 * idx[jrow] + 3]; sum5 += v[jrow] * x[16 * idx[jrow] + 4]; sum6 += v[jrow] * x[16 * idx[jrow] + 5]; sum7 += v[jrow] * x[16 * idx[jrow] + 6]; sum8 += v[jrow] * x[16 * idx[jrow] + 7]; sum9 += v[jrow] * x[16 * idx[jrow] + 8]; sum10 += v[jrow] * x[16 * idx[jrow] + 9]; sum11 += v[jrow] * x[16 * idx[jrow] + 10]; sum12 += v[jrow] * x[16 * idx[jrow] + 11]; sum13 += v[jrow] * x[16 * idx[jrow] + 12]; sum14 += v[jrow] * x[16 * idx[jrow] + 13]; sum15 += v[jrow] * x[16 * idx[jrow] + 14]; sum16 += v[jrow] * x[16 * idx[jrow] + 15]; jrow++; } y[16 * i] = sum1; y[16 * i + 1] = sum2; y[16 * i + 2] = sum3; y[16 * i + 3] = sum4; y[16 * i + 4] = sum5; y[16 * i + 5] = sum6; y[16 * i + 6] = sum7; y[16 * i + 7] = sum8; y[16 * i + 8] = sum9; y[16 * i + 9] = sum10; y[16 * i + 10] = sum11; y[16 * i + 11] = sum12; y[16 * i + 12] = sum13; y[16 * i + 13] = sum14; y[16 * i + 14] = sum15; y[16 * i + 15] = sum16; } PetscCall(PetscLogFlops(32.0 * a->nz - 16.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_16(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; PetscScalar alpha9, alpha10, alpha11, alpha12, alpha13, alpha14, alpha15, alpha16; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[16 * i]; alpha2 = x[16 * i + 1]; alpha3 = x[16 * i + 2]; alpha4 = x[16 * i + 3]; alpha5 = x[16 * i + 4]; alpha6 = x[16 * i + 5]; alpha7 = x[16 * i + 6]; alpha8 = x[16 * i + 7]; alpha9 = x[16 * i + 8]; alpha10 = x[16 * i + 9]; alpha11 = x[16 * i + 10]; alpha12 = x[16 * i + 11]; alpha13 = x[16 * i + 12]; alpha14 = x[16 * i + 13]; alpha15 = x[16 * i + 14]; alpha16 = x[16 * i + 15]; while (n-- > 0) { y[16 * (*idx)] += alpha1 * (*v); y[16 * (*idx) + 1] += alpha2 * (*v); y[16 * (*idx) + 2] += alpha3 * (*v); y[16 * (*idx) + 3] += alpha4 * (*v); y[16 * (*idx) + 4] += alpha5 * (*v); y[16 * (*idx) + 5] += alpha6 * (*v); y[16 * (*idx) + 6] += alpha7 * (*v); y[16 * (*idx) + 7] += alpha8 * (*v); y[16 * (*idx) + 8] += alpha9 * (*v); y[16 * (*idx) + 9] += alpha10 * (*v); y[16 * (*idx) + 10] += alpha11 * (*v); y[16 * (*idx) + 11] += alpha12 * (*v); y[16 * (*idx) + 12] += alpha13 * (*v); y[16 * (*idx) + 13] += alpha14 * (*v); y[16 * (*idx) + 14] += alpha15 * (*v); y[16 * (*idx) + 15] += alpha16 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(32.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_16(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; PetscScalar sum9, sum10, sum11, sum12, sum13, sum14, sum15, sum16; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; sum12 = 0.0; sum13 = 0.0; sum14 = 0.0; sum15 = 0.0; sum16 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[16 * idx[jrow]]; sum2 += v[jrow] * x[16 * idx[jrow] + 1]; sum3 += v[jrow] * x[16 * idx[jrow] + 2]; sum4 += v[jrow] * x[16 * idx[jrow] + 3]; sum5 += v[jrow] * x[16 * idx[jrow] + 4]; sum6 += v[jrow] * x[16 * idx[jrow] + 5]; sum7 += v[jrow] * x[16 * idx[jrow] + 6]; sum8 += v[jrow] * x[16 * idx[jrow] + 7]; sum9 += v[jrow] * x[16 * idx[jrow] + 8]; sum10 += v[jrow] * x[16 * idx[jrow] + 9]; sum11 += v[jrow] * x[16 * idx[jrow] + 10]; sum12 += v[jrow] * x[16 * idx[jrow] + 11]; sum13 += v[jrow] * x[16 * idx[jrow] + 12]; sum14 += v[jrow] * x[16 * idx[jrow] + 13]; sum15 += v[jrow] * x[16 * idx[jrow] + 14]; sum16 += v[jrow] * x[16 * idx[jrow] + 15]; jrow++; } y[16 * i] += sum1; y[16 * i + 1] += sum2; y[16 * i + 2] += sum3; y[16 * i + 3] += sum4; y[16 * i + 4] += sum5; y[16 * i + 5] += sum6; y[16 * i + 6] += sum7; y[16 * i + 7] += sum8; y[16 * i + 8] += sum9; y[16 * i + 9] += sum10; y[16 * i + 10] += sum11; y[16 * i + 11] += sum12; y[16 * i + 12] += sum13; y[16 * i + 13] += sum14; y[16 * i + 14] += sum15; y[16 * i + 15] += sum16; } PetscCall(PetscLogFlops(32.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_16(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; PetscScalar alpha9, alpha10, alpha11, alpha12, alpha13, alpha14, alpha15, alpha16; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[16 * i]; alpha2 = x[16 * i + 1]; alpha3 = x[16 * i + 2]; alpha4 = x[16 * i + 3]; alpha5 = x[16 * i + 4]; alpha6 = x[16 * i + 5]; alpha7 = x[16 * i + 6]; alpha8 = x[16 * i + 7]; alpha9 = x[16 * i + 8]; alpha10 = x[16 * i + 9]; alpha11 = x[16 * i + 10]; alpha12 = x[16 * i + 11]; alpha13 = x[16 * i + 12]; alpha14 = x[16 * i + 13]; alpha15 = x[16 * i + 14]; alpha16 = x[16 * i + 15]; while (n-- > 0) { y[16 * (*idx)] += alpha1 * (*v); y[16 * (*idx) + 1] += alpha2 * (*v); y[16 * (*idx) + 2] += alpha3 * (*v); y[16 * (*idx) + 3] += alpha4 * (*v); y[16 * (*idx) + 4] += alpha5 * (*v); y[16 * (*idx) + 5] += alpha6 * (*v); y[16 * (*idx) + 6] += alpha7 * (*v); y[16 * (*idx) + 7] += alpha8 * (*v); y[16 * (*idx) + 8] += alpha9 * (*v); y[16 * (*idx) + 9] += alpha10 * (*v); y[16 * (*idx) + 10] += alpha11 * (*v); y[16 * (*idx) + 11] += alpha12 * (*v); y[16 * (*idx) + 12] += alpha13 * (*v); y[16 * (*idx) + 13] += alpha14 * (*v); y[16 * (*idx) + 14] += alpha15 * (*v); y[16 * (*idx) + 15] += alpha16 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(32.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /*--------------------------------------------------------------------------------------------*/ PetscErrorCode MatMult_SeqMAIJ_18(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; PetscScalar sum9, sum10, sum11, sum12, sum13, sum14, sum15, sum16, sum17, sum18; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt nonzerorow = 0, n, i, jrow, j; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; sum12 = 0.0; sum13 = 0.0; sum14 = 0.0; sum15 = 0.0; sum16 = 0.0; sum17 = 0.0; sum18 = 0.0; nonzerorow += (n > 0); for (j = 0; j < n; j++) { sum1 += v[jrow] * x[18 * idx[jrow]]; sum2 += v[jrow] * x[18 * idx[jrow] + 1]; sum3 += v[jrow] * x[18 * idx[jrow] + 2]; sum4 += v[jrow] * x[18 * idx[jrow] + 3]; sum5 += v[jrow] * x[18 * idx[jrow] + 4]; sum6 += v[jrow] * x[18 * idx[jrow] + 5]; sum7 += v[jrow] * x[18 * idx[jrow] + 6]; sum8 += v[jrow] * x[18 * idx[jrow] + 7]; sum9 += v[jrow] * x[18 * idx[jrow] + 8]; sum10 += v[jrow] * x[18 * idx[jrow] + 9]; sum11 += v[jrow] * x[18 * idx[jrow] + 10]; sum12 += v[jrow] * x[18 * idx[jrow] + 11]; sum13 += v[jrow] * x[18 * idx[jrow] + 12]; sum14 += v[jrow] * x[18 * idx[jrow] + 13]; sum15 += v[jrow] * x[18 * idx[jrow] + 14]; sum16 += v[jrow] * x[18 * idx[jrow] + 15]; sum17 += v[jrow] * x[18 * idx[jrow] + 16]; sum18 += v[jrow] * x[18 * idx[jrow] + 17]; jrow++; } y[18 * i] = sum1; y[18 * i + 1] = sum2; y[18 * i + 2] = sum3; y[18 * i + 3] = sum4; y[18 * i + 4] = sum5; y[18 * i + 5] = sum6; y[18 * i + 6] = sum7; y[18 * i + 7] = sum8; y[18 * i + 8] = sum9; y[18 * i + 9] = sum10; y[18 * i + 10] = sum11; y[18 * i + 11] = sum12; y[18 * i + 12] = sum13; y[18 * i + 13] = sum14; y[18 * i + 14] = sum15; y[18 * i + 15] = sum16; y[18 * i + 16] = sum17; y[18 * i + 17] = sum18; } PetscCall(PetscLogFlops(36.0 * a->nz - 18.0 * nonzerorow)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_18(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; PetscScalar alpha9, alpha10, alpha11, alpha12, alpha13, alpha14, alpha15, alpha16, alpha17, alpha18; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[18 * i]; alpha2 = x[18 * i + 1]; alpha3 = x[18 * i + 2]; alpha4 = x[18 * i + 3]; alpha5 = x[18 * i + 4]; alpha6 = x[18 * i + 5]; alpha7 = x[18 * i + 6]; alpha8 = x[18 * i + 7]; alpha9 = x[18 * i + 8]; alpha10 = x[18 * i + 9]; alpha11 = x[18 * i + 10]; alpha12 = x[18 * i + 11]; alpha13 = x[18 * i + 12]; alpha14 = x[18 * i + 13]; alpha15 = x[18 * i + 14]; alpha16 = x[18 * i + 15]; alpha17 = x[18 * i + 16]; alpha18 = x[18 * i + 17]; while (n-- > 0) { y[18 * (*idx)] += alpha1 * (*v); y[18 * (*idx) + 1] += alpha2 * (*v); y[18 * (*idx) + 2] += alpha3 * (*v); y[18 * (*idx) + 3] += alpha4 * (*v); y[18 * (*idx) + 4] += alpha5 * (*v); y[18 * (*idx) + 5] += alpha6 * (*v); y[18 * (*idx) + 6] += alpha7 * (*v); y[18 * (*idx) + 7] += alpha8 * (*v); y[18 * (*idx) + 8] += alpha9 * (*v); y[18 * (*idx) + 9] += alpha10 * (*v); y[18 * (*idx) + 10] += alpha11 * (*v); y[18 * (*idx) + 11] += alpha12 * (*v); y[18 * (*idx) + 12] += alpha13 * (*v); y[18 * (*idx) + 13] += alpha14 * (*v); y[18 * (*idx) + 14] += alpha15 * (*v); y[18 * (*idx) + 15] += alpha16 * (*v); y[18 * (*idx) + 16] += alpha17 * (*v); y[18 * (*idx) + 17] += alpha18 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(36.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_18(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, sum1, sum2, sum3, sum4, sum5, sum6, sum7, sum8; PetscScalar sum9, sum10, sum11, sum12, sum13, sum14, sum15, sum16, sum17, sum18; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sum1 = 0.0; sum2 = 0.0; sum3 = 0.0; sum4 = 0.0; sum5 = 0.0; sum6 = 0.0; sum7 = 0.0; sum8 = 0.0; sum9 = 0.0; sum10 = 0.0; sum11 = 0.0; sum12 = 0.0; sum13 = 0.0; sum14 = 0.0; sum15 = 0.0; sum16 = 0.0; sum17 = 0.0; sum18 = 0.0; for (j = 0; j < n; j++) { sum1 += v[jrow] * x[18 * idx[jrow]]; sum2 += v[jrow] * x[18 * idx[jrow] + 1]; sum3 += v[jrow] * x[18 * idx[jrow] + 2]; sum4 += v[jrow] * x[18 * idx[jrow] + 3]; sum5 += v[jrow] * x[18 * idx[jrow] + 4]; sum6 += v[jrow] * x[18 * idx[jrow] + 5]; sum7 += v[jrow] * x[18 * idx[jrow] + 6]; sum8 += v[jrow] * x[18 * idx[jrow] + 7]; sum9 += v[jrow] * x[18 * idx[jrow] + 8]; sum10 += v[jrow] * x[18 * idx[jrow] + 9]; sum11 += v[jrow] * x[18 * idx[jrow] + 10]; sum12 += v[jrow] * x[18 * idx[jrow] + 11]; sum13 += v[jrow] * x[18 * idx[jrow] + 12]; sum14 += v[jrow] * x[18 * idx[jrow] + 13]; sum15 += v[jrow] * x[18 * idx[jrow] + 14]; sum16 += v[jrow] * x[18 * idx[jrow] + 15]; sum17 += v[jrow] * x[18 * idx[jrow] + 16]; sum18 += v[jrow] * x[18 * idx[jrow] + 17]; jrow++; } y[18 * i] += sum1; y[18 * i + 1] += sum2; y[18 * i + 2] += sum3; y[18 * i + 3] += sum4; y[18 * i + 4] += sum5; y[18 * i + 5] += sum6; y[18 * i + 6] += sum7; y[18 * i + 7] += sum8; y[18 * i + 8] += sum9; y[18 * i + 9] += sum10; y[18 * i + 10] += sum11; y[18 * i + 11] += sum12; y[18 * i + 12] += sum13; y[18 * i + 13] += sum14; y[18 * i + 14] += sum15; y[18 * i + 15] += sum16; y[18 * i + 16] += sum17; y[18 * i + 17] += sum18; } PetscCall(PetscLogFlops(36.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_18(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, alpha1, alpha2, alpha3, alpha4, alpha5, alpha6, alpha7, alpha8; PetscScalar alpha9, alpha10, alpha11, alpha12, alpha13, alpha14, alpha15, alpha16, alpha17, alpha18; const PetscInt m = b->AIJ->rmap->n, *idx; PetscInt n, i; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha1 = x[18 * i]; alpha2 = x[18 * i + 1]; alpha3 = x[18 * i + 2]; alpha4 = x[18 * i + 3]; alpha5 = x[18 * i + 4]; alpha6 = x[18 * i + 5]; alpha7 = x[18 * i + 6]; alpha8 = x[18 * i + 7]; alpha9 = x[18 * i + 8]; alpha10 = x[18 * i + 9]; alpha11 = x[18 * i + 10]; alpha12 = x[18 * i + 11]; alpha13 = x[18 * i + 12]; alpha14 = x[18 * i + 13]; alpha15 = x[18 * i + 14]; alpha16 = x[18 * i + 15]; alpha17 = x[18 * i + 16]; alpha18 = x[18 * i + 17]; while (n-- > 0) { y[18 * (*idx)] += alpha1 * (*v); y[18 * (*idx) + 1] += alpha2 * (*v); y[18 * (*idx) + 2] += alpha3 * (*v); y[18 * (*idx) + 3] += alpha4 * (*v); y[18 * (*idx) + 4] += alpha5 * (*v); y[18 * (*idx) + 5] += alpha6 * (*v); y[18 * (*idx) + 6] += alpha7 * (*v); y[18 * (*idx) + 7] += alpha8 * (*v); y[18 * (*idx) + 8] += alpha9 * (*v); y[18 * (*idx) + 9] += alpha10 * (*v); y[18 * (*idx) + 10] += alpha11 * (*v); y[18 * (*idx) + 11] += alpha12 * (*v); y[18 * (*idx) + 12] += alpha13 * (*v); y[18 * (*idx) + 13] += alpha14 * (*v); y[18 * (*idx) + 14] += alpha15 * (*v); y[18 * (*idx) + 15] += alpha16 * (*v); y[18 * (*idx) + 16] += alpha17 * (*v); y[18 * (*idx) + 17] += alpha18 * (*v); idx++; v++; } } PetscCall(PetscLogFlops(36.0 * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMult_SeqMAIJ_N(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, *sums; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j, dof = b->dof, k; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArray(yy, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sums = y + dof * i; for (j = 0; j < n; j++) { for (k = 0; k < dof; k++) { sums[k] += v[jrow] * x[dof * idx[jrow] + k]; } jrow++; } } PetscCall(PetscLogFlops(2.0 * dof * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_SeqMAIJ_N(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v; PetscScalar *y, *sums; const PetscInt m = b->AIJ->rmap->n, *idx, *ii; PetscInt n, i, jrow, j, dof = b->dof, k; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); idx = a->j; v = a->a; ii = a->i; for (i = 0; i < m; i++) { jrow = ii[i]; n = ii[i + 1] - jrow; sums = y + dof * i; for (j = 0; j < n; j++) { for (k = 0; k < dof; k++) { sums[k] += v[jrow] * x[dof * idx[jrow] + k]; } jrow++; } } PetscCall(PetscLogFlops(2.0 * dof * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_SeqMAIJ_N(Mat A, Vec xx, Vec yy) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v, *alpha; PetscScalar *y; const PetscInt m = b->AIJ->rmap->n, *idx, dof = b->dof; PetscInt n, i, k; PetscFunctionBegin; PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecSet(yy, 0.0)); PetscCall(VecGetArray(yy, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha = x + dof * i; while (n-- > 0) { for (k = 0; k < dof; k++) { y[dof * (*idx) + k] += alpha[k] * (*v); } idx++; v++; } } PetscCall(PetscLogFlops(2.0 * dof * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(yy, &y)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_SeqMAIJ_N(Mat A, Vec xx, Vec yy, Vec zz) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat_SeqAIJ *a = (Mat_SeqAIJ *)b->AIJ->data; const PetscScalar *x, *v, *alpha; PetscScalar *y; const PetscInt m = b->AIJ->rmap->n, *idx, dof = b->dof; PetscInt n, i, k; PetscFunctionBegin; if (yy != zz) PetscCall(VecCopy(yy, zz)); PetscCall(VecGetArrayRead(xx, &x)); PetscCall(VecGetArray(zz, &y)); for (i = 0; i < m; i++) { idx = a->j + a->i[i]; v = a->a + a->i[i]; n = a->i[i + 1] - a->i[i]; alpha = x + dof * i; while (n-- > 0) { for (k = 0; k < dof; k++) { y[dof * (*idx) + k] += alpha[k] * (*v); } idx++; v++; } } PetscCall(PetscLogFlops(2.0 * dof * a->nz)); PetscCall(VecRestoreArrayRead(xx, &x)); PetscCall(VecRestoreArray(zz, &y)); PetscFunctionReturn(0); } /*===================================================================================*/ PetscErrorCode MatMult_MPIMAIJ_dof(Mat A, Vec xx, Vec yy) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; PetscFunctionBegin; /* start the scatter */ PetscCall(VecScatterBegin(b->ctx, xx, b->w, INSERT_VALUES, SCATTER_FORWARD)); PetscCall((*b->AIJ->ops->mult)(b->AIJ, xx, yy)); PetscCall(VecScatterEnd(b->ctx, xx, b->w, INSERT_VALUES, SCATTER_FORWARD)); PetscCall((*b->OAIJ->ops->multadd)(b->OAIJ, b->w, yy, yy)); PetscFunctionReturn(0); } PetscErrorCode MatMultTranspose_MPIMAIJ_dof(Mat A, Vec xx, Vec yy) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; PetscFunctionBegin; PetscCall((*b->OAIJ->ops->multtranspose)(b->OAIJ, xx, b->w)); PetscCall((*b->AIJ->ops->multtranspose)(b->AIJ, xx, yy)); PetscCall(VecScatterBegin(b->ctx, b->w, yy, ADD_VALUES, SCATTER_REVERSE)); PetscCall(VecScatterEnd(b->ctx, b->w, yy, ADD_VALUES, SCATTER_REVERSE)); PetscFunctionReturn(0); } PetscErrorCode MatMultAdd_MPIMAIJ_dof(Mat A, Vec xx, Vec yy, Vec zz) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; PetscFunctionBegin; /* start the scatter */ PetscCall(VecScatterBegin(b->ctx, xx, b->w, INSERT_VALUES, SCATTER_FORWARD)); PetscCall((*b->AIJ->ops->multadd)(b->AIJ, xx, yy, zz)); PetscCall(VecScatterEnd(b->ctx, xx, b->w, INSERT_VALUES, SCATTER_FORWARD)); PetscCall((*b->OAIJ->ops->multadd)(b->OAIJ, b->w, zz, zz)); PetscFunctionReturn(0); } PetscErrorCode MatMultTransposeAdd_MPIMAIJ_dof(Mat A, Vec xx, Vec yy, Vec zz) { Mat_MPIMAIJ *b = (Mat_MPIMAIJ *)A->data; PetscFunctionBegin; PetscCall((*b->OAIJ->ops->multtranspose)(b->OAIJ, xx, b->w)); PetscCall((*b->AIJ->ops->multtransposeadd)(b->AIJ, xx, yy, zz)); PetscCall(VecScatterBegin(b->ctx, b->w, zz, ADD_VALUES, SCATTER_REVERSE)); PetscCall(VecScatterEnd(b->ctx, b->w, zz, ADD_VALUES, SCATTER_REVERSE)); PetscFunctionReturn(0); } /* ----------------------------------------------------------------*/ PetscErrorCode MatProductSetFromOptions_SeqAIJ_SeqMAIJ(Mat C) { Mat_Product *product = C->product; PetscFunctionBegin; if (product->type == MATPRODUCT_PtAP) { C->ops->productsymbolic = MatProductSymbolic_PtAP_SeqAIJ_SeqMAIJ; } else SETERRQ(PETSC_COMM_SELF, PETSC_ERR_SUP, "Mat Product type %s is not supported for SeqAIJ and SeqMAIJ matrices", MatProductTypes[product->type]); PetscFunctionReturn(0); } PetscErrorCode MatProductSetFromOptions_MPIAIJ_MPIMAIJ(Mat C) { Mat_Product *product = C->product; PetscBool flg = PETSC_FALSE; Mat A = product->A, P = product->B; PetscInt alg = 1; /* set default algorithm */ #if !defined(PETSC_HAVE_HYPRE) const char *algTypes[4] = {"scalable", "nonscalable", "allatonce", "allatonce_merged"}; PetscInt nalg = 4; #else const char *algTypes[5] = {"scalable", "nonscalable", "allatonce", "allatonce_merged", "hypre"}; PetscInt nalg = 5; #endif PetscFunctionBegin; PetscCheck(product->type == MATPRODUCT_PtAP, PETSC_COMM_SELF, PETSC_ERR_SUP, "Mat Product type %s is not supported for MPIAIJ and MPIMAIJ matrices", MatProductTypes[product->type]); /* PtAP */ /* Check matrix local sizes */ PetscCheck(A->rmap->rstart == P->rmap->rstart && A->rmap->rend == P->rmap->rend, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, Arow (%" PetscInt_FMT ", %" PetscInt_FMT ") != Prow (%" PetscInt_FMT ",%" PetscInt_FMT ")", A->rmap->rstart, A->rmap->rend, P->rmap->rstart, P->rmap->rend); PetscCheck(A->cmap->rstart == P->rmap->rstart && A->cmap->rend == P->rmap->rend, PETSC_COMM_SELF, PETSC_ERR_ARG_SIZ, "Matrix local dimensions are incompatible, Acol (%" PetscInt_FMT ", %" PetscInt_FMT ") != Prow (%" PetscInt_FMT ",%" PetscInt_FMT ")", A->cmap->rstart, A->cmap->rend, P->rmap->rstart, P->rmap->rend); /* Set the default algorithm */ PetscCall(PetscStrcmp(C->product->alg, "default", &flg)); if (flg) { PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); } /* Get runtime option */ PetscOptionsBegin(PetscObjectComm((PetscObject)C), ((PetscObject)C)->prefix, "MatProduct_PtAP", "Mat"); PetscCall(PetscOptionsEList("-mat_product_algorithm", "Algorithmic approach", "MatPtAP", algTypes, nalg, algTypes[alg], &alg, &flg)); if (flg) { PetscCall(MatProductSetAlgorithm(C, (MatProductAlgorithm)algTypes[alg])); } PetscOptionsEnd(); PetscCall(PetscStrcmp(C->product->alg, "allatonce", &flg)); if (flg) { C->ops->productsymbolic = MatProductSymbolic_PtAP_MPIAIJ_MPIMAIJ; PetscFunctionReturn(0); } PetscCall(PetscStrcmp(C->product->alg, "allatonce_merged", &flg)); if (flg) { C->ops->productsymbolic = MatProductSymbolic_PtAP_MPIAIJ_MPIMAIJ; PetscFunctionReturn(0); } /* Convert P from MAIJ to AIJ matrix since implementation not available for MAIJ */ PetscCall(PetscInfo((PetscObject)A, "Converting from MAIJ to AIJ matrix since implementation not available for MAIJ\n")); PetscCall(MatConvert(P, MATMPIAIJ, MAT_INPLACE_MATRIX, &P)); PetscCall(MatProductSetFromOptions(C)); PetscFunctionReturn(0); } /* ----------------------------------------------------------------*/ PetscErrorCode MatPtAPSymbolic_SeqAIJ_SeqMAIJ(Mat A, Mat PP, PetscReal fill, Mat C) { PetscFreeSpaceList free_space = NULL, current_space = NULL; Mat_SeqMAIJ *pp = (Mat_SeqMAIJ *)PP->data; Mat P = pp->AIJ; Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data, *p = (Mat_SeqAIJ *)P->data, *c; PetscInt *pti, *ptj, *ptJ; PetscInt *ci, *cj, *ptadenserow, *ptasparserow, *denserow, *sparserow, *ptaj; const PetscInt an = A->cmap->N, am = A->rmap->N, pn = P->cmap->N, pm = P->rmap->N, ppdof = pp->dof; PetscInt i, j, k, dof, pshift, ptnzi, arow, anzj, ptanzi, prow, pnzj, cnzi, cn; MatScalar *ca; const PetscInt *pi = p->i, *pj = p->j, *pjj, *ai = a->i, *aj = a->j, *ajj; PetscFunctionBegin; /* Get ij structure of P^T */ PetscCall(MatGetSymbolicTranspose_SeqAIJ(P, &pti, &ptj)); cn = pn * ppdof; /* Allocate ci array, arrays for fill computation and */ /* free space for accumulating nonzero column info */ PetscCall(PetscMalloc1(cn + 1, &ci)); ci[0] = 0; /* Work arrays for rows of P^T*A */ PetscCall(PetscMalloc4(an, &ptadenserow, an, &ptasparserow, cn, &denserow, cn, &sparserow)); PetscCall(PetscArrayzero(ptadenserow, an)); PetscCall(PetscArrayzero(denserow, cn)); /* Set initial free space to be nnz(A) scaled by aspect ratio of P. */ /* This should be reasonable if sparsity of PtAP is similar to that of A. */ /* Note, aspect ratio of P is the same as the aspect ratio of SeqAIJ inside P */ PetscCall(PetscFreeSpaceGet(PetscIntMultTruncate(ai[am] / pm, pn), &free_space)); current_space = free_space; /* Determine symbolic info for each row of C: */ for (i = 0; i < pn; i++) { ptnzi = pti[i + 1] - pti[i]; ptJ = ptj + pti[i]; for (dof = 0; dof < ppdof; dof++) { ptanzi = 0; /* Determine symbolic row of PtA: */ for (j = 0; j < ptnzi; j++) { /* Expand ptJ[j] by block size and shift by dof to get the right row of A */ arow = ptJ[j] * ppdof + dof; /* Nonzeros of P^T*A will be in same locations as any element of A in that row */ anzj = ai[arow + 1] - ai[arow]; ajj = aj + ai[arow]; for (k = 0; k < anzj; k++) { if (!ptadenserow[ajj[k]]) { ptadenserow[ajj[k]] = -1; ptasparserow[ptanzi++] = ajj[k]; } } } /* Using symbolic info for row of PtA, determine symbolic info for row of C: */ ptaj = ptasparserow; cnzi = 0; for (j = 0; j < ptanzi; j++) { /* Get offset within block of P */ pshift = *ptaj % ppdof; /* Get block row of P */ prow = (*ptaj++) / ppdof; /* integer division */ /* P has same number of nonzeros per row as the compressed form */ pnzj = pi[prow + 1] - pi[prow]; pjj = pj + pi[prow]; for (k = 0; k < pnzj; k++) { /* Locations in C are shifted by the offset within the block */ /* Note: we cannot use PetscLLAdd here because of the additional offset for the write location */ if (!denserow[pjj[k] * ppdof + pshift]) { denserow[pjj[k] * ppdof + pshift] = -1; sparserow[cnzi++] = pjj[k] * ppdof + pshift; } } } /* sort sparserow */ PetscCall(PetscSortInt(cnzi, sparserow)); /* If free space is not available, make more free space */ /* Double the amount of total space in the list */ if (current_space->local_remaining < cnzi) { PetscCall(PetscFreeSpaceGet(PetscIntSumTruncate(cnzi, current_space->total_array_size), ¤t_space)); } /* Copy data into free space, and zero out denserows */ PetscCall(PetscArraycpy(current_space->array, sparserow, cnzi)); current_space->array += cnzi; current_space->local_used += cnzi; current_space->local_remaining -= cnzi; for (j = 0; j < ptanzi; j++) ptadenserow[ptasparserow[j]] = 0; for (j = 0; j < cnzi; j++) denserow[sparserow[j]] = 0; /* Aside: Perhaps we should save the pta info for the numerical factorization. */ /* For now, we will recompute what is needed. */ ci[i * ppdof + 1 + dof] = ci[i * ppdof + dof] + cnzi; } } /* nnz is now stored in ci[ptm], column indices are in the list of free space */ /* Allocate space for cj, initialize cj, and */ /* destroy list of free space and other temporary array(s) */ PetscCall(PetscMalloc1(ci[cn] + 1, &cj)); PetscCall(PetscFreeSpaceContiguous(&free_space, cj)); PetscCall(PetscFree4(ptadenserow, ptasparserow, denserow, sparserow)); /* Allocate space for ca */ PetscCall(PetscCalloc1(ci[cn] + 1, &ca)); /* put together the new matrix */ PetscCall(MatSetSeqAIJWithArrays_private(PetscObjectComm((PetscObject)A), cn, cn, ci, cj, ca, NULL, C)); PetscCall(MatSetBlockSize(C, pp->dof)); /* MatCreateSeqAIJWithArrays flags matrix so PETSc doesn't free the user's arrays. */ /* Since these are PETSc arrays, change flags to free them as necessary. */ c = (Mat_SeqAIJ *)(C->data); c->free_a = PETSC_TRUE; c->free_ij = PETSC_TRUE; c->nonew = 0; C->ops->ptapnumeric = MatPtAPNumeric_SeqAIJ_SeqMAIJ; C->ops->productnumeric = MatProductNumeric_PtAP; /* Clean up. */ PetscCall(MatRestoreSymbolicTranspose_SeqAIJ(P, &pti, &ptj)); PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_SeqAIJ_SeqMAIJ(Mat A, Mat PP, Mat C) { /* This routine requires testing -- first draft only */ Mat_SeqMAIJ *pp = (Mat_SeqMAIJ *)PP->data; Mat P = pp->AIJ; Mat_SeqAIJ *a = (Mat_SeqAIJ *)A->data; Mat_SeqAIJ *p = (Mat_SeqAIJ *)P->data; Mat_SeqAIJ *c = (Mat_SeqAIJ *)C->data; const PetscInt *ai = a->i, *aj = a->j, *pi = p->i, *pj = p->j, *pJ, *pjj; const PetscInt *ci = c->i, *cj = c->j, *cjj; const PetscInt am = A->rmap->N, cn = C->cmap->N, cm = C->rmap->N, ppdof = pp->dof; PetscInt i, j, k, pshift, poffset, anzi, pnzi, apnzj, nextap, pnzj, prow, crow, *apj, *apjdense; const MatScalar *aa = a->a, *pa = p->a, *pA, *paj; MatScalar *ca = c->a, *caj, *apa; PetscFunctionBegin; /* Allocate temporary array for storage of one row of A*P */ PetscCall(PetscCalloc3(cn, &apa, cn, &apj, cn, &apjdense)); /* Clear old values in C */ PetscCall(PetscArrayzero(ca, ci[cm])); for (i = 0; i < am; i++) { /* Form sparse row of A*P */ anzi = ai[i + 1] - ai[i]; apnzj = 0; for (j = 0; j < anzi; j++) { /* Get offset within block of P */ pshift = *aj % ppdof; /* Get block row of P */ prow = *aj++ / ppdof; /* integer division */ pnzj = pi[prow + 1] - pi[prow]; pjj = pj + pi[prow]; paj = pa + pi[prow]; for (k = 0; k < pnzj; k++) { poffset = pjj[k] * ppdof + pshift; if (!apjdense[poffset]) { apjdense[poffset] = -1; apj[apnzj++] = poffset; } apa[poffset] += (*aa) * paj[k]; } PetscCall(PetscLogFlops(2.0 * pnzj)); aa++; } /* Sort the j index array for quick sparse axpy. */ /* Note: a array does not need sorting as it is in dense storage locations. */ PetscCall(PetscSortInt(apnzj, apj)); /* Compute P^T*A*P using outer product (P^T)[:,j]*(A*P)[j,:]. */ prow = i / ppdof; /* integer division */ pshift = i % ppdof; poffset = pi[prow]; pnzi = pi[prow + 1] - poffset; /* Reset pJ and pA so we can traverse the same row of P 'dof' times. */ pJ = pj + poffset; pA = pa + poffset; for (j = 0; j < pnzi; j++) { crow = (*pJ) * ppdof + pshift; cjj = cj + ci[crow]; caj = ca + ci[crow]; pJ++; /* Perform sparse axpy operation. Note cjj includes apj. */ for (k = 0, nextap = 0; nextap < apnzj; k++) { if (cjj[k] == apj[nextap]) caj[k] += (*pA) * apa[apj[nextap++]]; } PetscCall(PetscLogFlops(2.0 * apnzj)); pA++; } /* Zero the current row info for A*P */ for (j = 0; j < apnzj; j++) { apa[apj[j]] = 0.; apjdense[apj[j]] = 0; } } /* Assemble the final matrix and clean up */ PetscCall(MatAssemblyBegin(C, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(C, MAT_FINAL_ASSEMBLY)); PetscCall(PetscFree3(apa, apj, apjdense)); PetscFunctionReturn(0); } PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_SeqAIJ_SeqMAIJ(Mat C) { Mat_Product *product = C->product; Mat A = product->A, P = product->B; PetscFunctionBegin; PetscCall(MatPtAPSymbolic_SeqAIJ_SeqMAIJ(A, P, product->fill, C)); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIMAIJ(Mat A, Mat PP, PetscReal fill, Mat *C) { PetscFunctionBegin; SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "MatPtAPSymbolic is not implemented for MPIMAIJ matrix yet"); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIMAIJ(Mat A, Mat PP, Mat C) { PetscFunctionBegin; SETERRQ(PetscObjectComm((PetscObject)A), PETSC_ERR_SUP, "MatPtAPNumeric is not implemented for MPIMAIJ matrix yet"); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce(Mat, Mat, PetscInt, Mat); PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIMAIJ_allatonce(Mat A, Mat P, Mat C) { Mat_MPIMAIJ *maij = (Mat_MPIMAIJ *)P->data; PetscFunctionBegin; PetscCall(MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce(A, maij->A, maij->dof, C)); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce(Mat, Mat, PetscInt, PetscReal, Mat); PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIMAIJ_allatonce(Mat A, Mat P, PetscReal fill, Mat C) { Mat_MPIMAIJ *maij = (Mat_MPIMAIJ *)P->data; PetscFunctionBegin; PetscCall(MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce(A, maij->A, maij->dof, fill, C)); C->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIMAIJ_allatonce; PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce_merged(Mat, Mat, PetscInt, Mat); PETSC_INTERN PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIMAIJ_allatonce_merged(Mat A, Mat P, Mat C) { Mat_MPIMAIJ *maij = (Mat_MPIMAIJ *)P->data; PetscFunctionBegin; PetscCall(MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce_merged(A, maij->A, maij->dof, C)); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce_merged(Mat, Mat, PetscInt, PetscReal, Mat); PETSC_INTERN PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIMAIJ_allatonce_merged(Mat A, Mat P, PetscReal fill, Mat C) { Mat_MPIMAIJ *maij = (Mat_MPIMAIJ *)P->data; PetscFunctionBegin; PetscCall(MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce_merged(A, maij->A, maij->dof, fill, C)); C->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIMAIJ_allatonce_merged; PetscFunctionReturn(0); } PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIMAIJ(Mat C) { Mat_Product *product = C->product; Mat A = product->A, P = product->B; PetscBool flg; PetscFunctionBegin; PetscCall(PetscStrcmp(product->alg, "allatonce", &flg)); if (flg) { PetscCall(MatPtAPSymbolic_MPIAIJ_MPIMAIJ_allatonce(A, P, product->fill, C)); C->ops->productnumeric = MatProductNumeric_PtAP; PetscFunctionReturn(0); } PetscCall(PetscStrcmp(product->alg, "allatonce_merged", &flg)); if (flg) { PetscCall(MatPtAPSymbolic_MPIAIJ_MPIMAIJ_allatonce_merged(A, P, product->fill, C)); C->ops->productnumeric = MatProductNumeric_PtAP; PetscFunctionReturn(0); } SETERRQ(PetscObjectComm((PetscObject)C), PETSC_ERR_SUP, "Mat Product Algorithm is not supported"); } PETSC_INTERN PetscErrorCode MatConvert_SeqMAIJ_SeqAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) { Mat_SeqMAIJ *b = (Mat_SeqMAIJ *)A->data; Mat a = b->AIJ, B; Mat_SeqAIJ *aij = (Mat_SeqAIJ *)a->data; PetscInt m, n, i, ncols, *ilen, nmax = 0, *icols, j, k, ii, dof = b->dof; PetscInt *cols; PetscScalar *vals; PetscFunctionBegin; PetscCall(MatGetSize(a, &m, &n)); PetscCall(PetscMalloc1(dof * m, &ilen)); for (i = 0; i < m; i++) { nmax = PetscMax(nmax, aij->ilen[i]); for (j = 0; j < dof; j++) ilen[dof * i + j] = aij->ilen[i]; } PetscCall(MatCreate(PETSC_COMM_SELF, &B)); PetscCall(MatSetSizes(B, dof * m, dof * n, dof * m, dof * n)); PetscCall(MatSetType(B, newtype)); PetscCall(MatSeqAIJSetPreallocation(B, 0, ilen)); PetscCall(PetscFree(ilen)); PetscCall(PetscMalloc1(nmax, &icols)); ii = 0; for (i = 0; i < m; i++) { PetscCall(MatGetRow_SeqAIJ(a, i, &ncols, &cols, &vals)); for (j = 0; j < dof; j++) { for (k = 0; k < ncols; k++) icols[k] = dof * cols[k] + j; PetscCall(MatSetValues_SeqAIJ(B, 1, &ii, ncols, icols, vals, INSERT_VALUES)); ii++; } PetscCall(MatRestoreRow_SeqAIJ(a, i, &ncols, &cols, &vals)); } PetscCall(PetscFree(icols)); 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(0); } #include <../src/mat/impls/aij/mpi/mpiaij.h> PETSC_INTERN PetscErrorCode MatConvert_MPIMAIJ_MPIAIJ(Mat A, MatType newtype, MatReuse reuse, Mat *newmat) { Mat_MPIMAIJ *maij = (Mat_MPIMAIJ *)A->data; Mat MatAIJ = ((Mat_SeqMAIJ *)maij->AIJ->data)->AIJ, B; Mat MatOAIJ = ((Mat_SeqMAIJ *)maij->OAIJ->data)->AIJ; Mat_SeqAIJ *AIJ = (Mat_SeqAIJ *)MatAIJ->data; Mat_SeqAIJ *OAIJ = (Mat_SeqAIJ *)MatOAIJ->data; Mat_MPIAIJ *mpiaij = (Mat_MPIAIJ *)maij->A->data; PetscInt dof = maij->dof, i, j, *dnz = NULL, *onz = NULL, nmax = 0, onmax = 0; PetscInt *oicols = NULL, *icols = NULL, ncols, *cols = NULL, oncols, *ocols = NULL; PetscInt rstart, cstart, *garray, ii, k; PetscScalar *vals, *ovals; PetscFunctionBegin; PetscCall(PetscMalloc2(A->rmap->n, &dnz, A->rmap->n, &onz)); for (i = 0; i < A->rmap->n / dof; i++) { nmax = PetscMax(nmax, AIJ->ilen[i]); onmax = PetscMax(onmax, OAIJ->ilen[i]); for (j = 0; j < dof; j++) { dnz[dof * i + j] = AIJ->ilen[i]; onz[dof * i + j] = OAIJ->ilen[i]; } } 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(MatMPIAIJSetPreallocation(B, 0, dnz, 0, onz)); PetscCall(MatSetBlockSize(B, dof)); PetscCall(PetscFree2(dnz, onz)); PetscCall(PetscMalloc2(nmax, &icols, onmax, &oicols)); rstart = dof * maij->A->rmap->rstart; cstart = dof * maij->A->cmap->rstart; garray = mpiaij->garray; ii = rstart; for (i = 0; i < A->rmap->n / dof; i++) { PetscCall(MatGetRow_SeqAIJ(MatAIJ, i, &ncols, &cols, &vals)); PetscCall(MatGetRow_SeqAIJ(MatOAIJ, i, &oncols, &ocols, &ovals)); for (j = 0; j < dof; j++) { for (k = 0; k < ncols; k++) { icols[k] = cstart + dof * cols[k] + j; } for (k = 0; k < oncols; k++) { oicols[k] = dof * garray[ocols[k]] + j; } PetscCall(MatSetValues_MPIAIJ(B, 1, &ii, ncols, icols, vals, INSERT_VALUES)); PetscCall(MatSetValues_MPIAIJ(B, 1, &ii, oncols, oicols, ovals, INSERT_VALUES)); ii++; } PetscCall(MatRestoreRow_SeqAIJ(MatAIJ, i, &ncols, &cols, &vals)); PetscCall(MatRestoreRow_SeqAIJ(MatOAIJ, i, &oncols, &ocols, &ovals)); } PetscCall(PetscFree2(icols, oicols)); PetscCall(MatAssemblyBegin(B, MAT_FINAL_ASSEMBLY)); PetscCall(MatAssemblyEnd(B, MAT_FINAL_ASSEMBLY)); if (reuse == MAT_INPLACE_MATRIX) { PetscInt refct = ((PetscObject)A)->refct; /* save ((PetscObject)A)->refct */ ((PetscObject)A)->refct = 1; PetscCall(MatHeaderReplace(A, &B)); ((PetscObject)A)->refct = refct; /* restore ((PetscObject)A)->refct */ } else { *newmat = B; } PetscFunctionReturn(0); } PetscErrorCode MatCreateSubMatrix_MAIJ(Mat mat, IS isrow, IS iscol, MatReuse cll, Mat *newmat) { Mat A; PetscFunctionBegin; PetscCall(MatConvert(mat, MATAIJ, MAT_INITIAL_MATRIX, &A)); PetscCall(MatCreateSubMatrix(A, isrow, iscol, cll, newmat)); PetscCall(MatDestroy(&A)); PetscFunctionReturn(0); } PetscErrorCode MatCreateSubMatrices_MAIJ(Mat mat, PetscInt n, const IS irow[], const IS icol[], MatReuse scall, Mat *submat[]) { Mat A; PetscFunctionBegin; PetscCall(MatConvert(mat, MATAIJ, MAT_INITIAL_MATRIX, &A)); PetscCall(MatCreateSubMatrices(A, n, irow, icol, scall, submat)); PetscCall(MatDestroy(&A)); PetscFunctionReturn(0); } /* ---------------------------------------------------------------------------------- */ /*@ MatCreateMAIJ - Creates a matrix type providing restriction and interpolation operations for multicomponent problems. It interpolates each component the same way independently. The matrix type is based on MATSEQAIJ for sequential matrices, and MATMPIAIJ for distributed matrices. Collective Input Parameters: + A - the AIJ matrix describing the action on blocks - dof - the block size (number of components per node) Output Parameter: . maij - the new MAIJ matrix Operations provided: .vb MatMult MatMultTranspose MatMultAdd MatMultTransposeAdd MatView .ve Level: advanced .seealso: `MatMAIJGetAIJ()`, `MatMAIJRedimension()`, `MATMAIJ` @*/ PetscErrorCode MatCreateMAIJ(Mat A, PetscInt dof, Mat *maij) { PetscInt n; Mat B; PetscBool flg; #if defined(PETSC_HAVE_CUDA) /* hack to prevent conversion to AIJ format for CUDA when used inside a parallel MAIJ */ PetscBool convert = dof < 0 ? PETSC_FALSE : PETSC_TRUE; #endif PetscFunctionBegin; dof = PetscAbs(dof); PetscCall(PetscObjectReference((PetscObject)A)); if (dof == 1) *maij = A; else { PetscCall(MatCreate(PetscObjectComm((PetscObject)A), &B)); /* propagate vec type */ PetscCall(MatSetVecType(B, A->defaultvectype)); PetscCall(MatSetSizes(B, dof * A->rmap->n, dof * A->cmap->n, dof * A->rmap->N, dof * A->cmap->N)); PetscCall(PetscLayoutSetBlockSize(B->rmap, dof)); PetscCall(PetscLayoutSetBlockSize(B->cmap, dof)); PetscCall(PetscLayoutSetUp(B->rmap)); PetscCall(PetscLayoutSetUp(B->cmap)); B->assembled = PETSC_TRUE; PetscCall(PetscObjectBaseTypeCompare((PetscObject)A, MATSEQAIJ, &flg)); if (flg) { Mat_SeqMAIJ *b; PetscCall(MatSetType(B, MATSEQMAIJ)); B->ops->setup = NULL; B->ops->destroy = MatDestroy_SeqMAIJ; B->ops->view = MatView_SeqMAIJ; b = (Mat_SeqMAIJ *)B->data; b->dof = dof; b->AIJ = A; if (dof == 2) { B->ops->mult = MatMult_SeqMAIJ_2; B->ops->multadd = MatMultAdd_SeqMAIJ_2; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_2; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_2; } else if (dof == 3) { B->ops->mult = MatMult_SeqMAIJ_3; B->ops->multadd = MatMultAdd_SeqMAIJ_3; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_3; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_3; } else if (dof == 4) { B->ops->mult = MatMult_SeqMAIJ_4; B->ops->multadd = MatMultAdd_SeqMAIJ_4; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_4; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_4; } else if (dof == 5) { B->ops->mult = MatMult_SeqMAIJ_5; B->ops->multadd = MatMultAdd_SeqMAIJ_5; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_5; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_5; } else if (dof == 6) { B->ops->mult = MatMult_SeqMAIJ_6; B->ops->multadd = MatMultAdd_SeqMAIJ_6; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_6; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_6; } else if (dof == 7) { B->ops->mult = MatMult_SeqMAIJ_7; B->ops->multadd = MatMultAdd_SeqMAIJ_7; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_7; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_7; } else if (dof == 8) { B->ops->mult = MatMult_SeqMAIJ_8; B->ops->multadd = MatMultAdd_SeqMAIJ_8; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_8; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_8; } else if (dof == 9) { B->ops->mult = MatMult_SeqMAIJ_9; B->ops->multadd = MatMultAdd_SeqMAIJ_9; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_9; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_9; } else if (dof == 10) { B->ops->mult = MatMult_SeqMAIJ_10; B->ops->multadd = MatMultAdd_SeqMAIJ_10; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_10; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_10; } else if (dof == 11) { B->ops->mult = MatMult_SeqMAIJ_11; B->ops->multadd = MatMultAdd_SeqMAIJ_11; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_11; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_11; } else if (dof == 16) { B->ops->mult = MatMult_SeqMAIJ_16; B->ops->multadd = MatMultAdd_SeqMAIJ_16; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_16; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_16; } else if (dof == 18) { B->ops->mult = MatMult_SeqMAIJ_18; B->ops->multadd = MatMultAdd_SeqMAIJ_18; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_18; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_18; } else { B->ops->mult = MatMult_SeqMAIJ_N; B->ops->multadd = MatMultAdd_SeqMAIJ_N; B->ops->multtranspose = MatMultTranspose_SeqMAIJ_N; B->ops->multtransposeadd = MatMultTransposeAdd_SeqMAIJ_N; } #if defined(PETSC_HAVE_CUDA) PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqmaij_seqaijcusparse_C", MatConvert_SeqMAIJ_SeqAIJ)); #endif PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_seqmaij_seqaij_C", MatConvert_SeqMAIJ_SeqAIJ)); PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_seqaij_seqmaij_C", MatProductSetFromOptions_SeqAIJ_SeqMAIJ)); } else { Mat_MPIAIJ *mpiaij = (Mat_MPIAIJ *)A->data; Mat_MPIMAIJ *b; IS from, to; Vec gvec; PetscCall(MatSetType(B, MATMPIMAIJ)); B->ops->setup = NULL; B->ops->destroy = MatDestroy_MPIMAIJ; B->ops->view = MatView_MPIMAIJ; b = (Mat_MPIMAIJ *)B->data; b->dof = dof; b->A = A; PetscCall(MatCreateMAIJ(mpiaij->A, -dof, &b->AIJ)); PetscCall(MatCreateMAIJ(mpiaij->B, -dof, &b->OAIJ)); PetscCall(VecGetSize(mpiaij->lvec, &n)); PetscCall(VecCreate(PETSC_COMM_SELF, &b->w)); PetscCall(VecSetSizes(b->w, n * dof, n * dof)); PetscCall(VecSetBlockSize(b->w, dof)); PetscCall(VecSetType(b->w, VECSEQ)); /* create two temporary Index sets for build scatter gather */ PetscCall(ISCreateBlock(PetscObjectComm((PetscObject)A), dof, n, mpiaij->garray, PETSC_COPY_VALUES, &from)); PetscCall(ISCreateStride(PETSC_COMM_SELF, n * dof, 0, 1, &to)); /* create temporary global vector to generate scatter context */ PetscCall(VecCreateMPIWithArray(PetscObjectComm((PetscObject)A), dof, dof * A->cmap->n, dof * A->cmap->N, NULL, &gvec)); /* generate the scatter context */ PetscCall(VecScatterCreate(gvec, from, b->w, to, &b->ctx)); PetscCall(ISDestroy(&from)); PetscCall(ISDestroy(&to)); PetscCall(VecDestroy(&gvec)); B->ops->mult = MatMult_MPIMAIJ_dof; B->ops->multtranspose = MatMultTranspose_MPIMAIJ_dof; B->ops->multadd = MatMultAdd_MPIMAIJ_dof; B->ops->multtransposeadd = MatMultTransposeAdd_MPIMAIJ_dof; #if defined(PETSC_HAVE_CUDA) PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpimaij_mpiaijcusparse_C", MatConvert_MPIMAIJ_MPIAIJ)); #endif PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatConvert_mpimaij_mpiaij_C", MatConvert_MPIMAIJ_MPIAIJ)); PetscCall(PetscObjectComposeFunction((PetscObject)B, "MatProductSetFromOptions_mpiaij_mpimaij_C", MatProductSetFromOptions_MPIAIJ_MPIMAIJ)); } B->ops->createsubmatrix = MatCreateSubMatrix_MAIJ; B->ops->createsubmatrices = MatCreateSubMatrices_MAIJ; PetscCall(MatSetUp(B)); #if defined(PETSC_HAVE_CUDA) /* temporary until we have CUDA implementation of MAIJ */ { PetscBool flg; if (convert) { PetscCall(PetscObjectTypeCompareAny((PetscObject)A, &flg, MATSEQAIJCUSPARSE, MATMPIAIJCUSPARSE, MATAIJCUSPARSE, "")); if (flg) { PetscCall(MatConvert(B, ((PetscObject)A)->type_name, MAT_INPLACE_MATRIX, &B)); } } } #endif *maij = B; } PetscFunctionReturn(0); }