xref: /petsc/src/mat/impls/aij/seq/cholmod/aijcholmod.c (revision 84df9cb40eca90ea9b18a456fab7a4ecc7f6c1a4)
1 
2 #include <../src/mat/impls/aij/seq/aij.h>
3 #include <../src/mat/impls/sbaij/seq/cholmod/cholmodimpl.h>
4 
5 #undef __FUNCT__
6 #define __FUNCT__ "MatWrapCholmod_seqaij"
7 static PetscErrorCode MatWrapCholmod_seqaij(Mat A,PetscBool  values,cholmod_sparse *C,PetscBool  *aijalloc)
8 {
9   Mat_SeqAIJ      *aij = (Mat_SeqAIJ*)A->data;
10   const PetscInt  *ai = aij->i,*aj = aij->j,*adiag;
11   const MatScalar *aa = aij->a;
12   PetscInt        m = A->rmap->n,i,j,k,nz,*ci,*cj;
13   PetscScalar     *ca;
14   PetscErrorCode  ierr;
15 
16   PetscFunctionBegin;
17   ierr = MatMarkDiagonal_SeqAIJ(A);CHKERRQ(ierr);
18   adiag = aij->diag;
19   for (i=0,nz=0; i<m; i++) nz += ai[i+1] - adiag[i];
20   ierr = PetscMalloc3(m+1,PetscInt,&ci,nz,PetscInt,&cj,values?nz:0,PetscScalar,&ca);CHKERRQ(ierr);
21   for (i=0,k=0; i<m; i++) {
22     ci[i] = k;
23     for (j=adiag[i]; j<ai[i+1]; j++,k++) {
24       cj[k] = aj[j];
25       if (values) ca[k] = aa[j];
26     }
27   }
28   ci[i] = k;
29   *aijalloc = PETSC_TRUE;
30 
31   ierr = PetscMemzero(C,sizeof(*C));CHKERRQ(ierr);
32   C->nrow  = (size_t)A->cmap->n;
33   C->ncol  = (size_t)A->rmap->n;
34   C->nzmax = (size_t)nz;
35   C->p     = ci;
36   C->i     = cj;
37   C->x     = values ? ca : 0;
38   C->stype = -1;
39   C->itype = CHOLMOD_INT_TYPE;
40   C->xtype = values ? CHOLMOD_SCALAR_TYPE : CHOLMOD_PATTERN;
41   C->dtype = CHOLMOD_DOUBLE;
42   C->sorted = 1;
43   C->packed = 1;
44   PetscFunctionReturn(0);
45 }
46 
47 EXTERN_C_BEGIN
48 #undef __FUNCT__
49 #define __FUNCT__ "MatFactorGetSolverPackage_seqaij_cholmod"
50 PetscErrorCode MatFactorGetSolverPackage_seqaij_cholmod(Mat A,const MatSolverPackage *type)
51 {
52   PetscFunctionBegin;
53   *type = MATSOLVERCHOLMOD;
54   PetscFunctionReturn(0);
55 }
56 EXTERN_C_END
57 
58 EXTERN_C_BEGIN
59 #undef __FUNCT__
60 #define __FUNCT__ "MatGetFactor_seqaij_cholmod"
61 /* Almost a copy of MatGetFactor_seqsbaij_cholmod, yuck */
62 PetscErrorCode MatGetFactor_seqaij_cholmod(Mat A,MatFactorType ftype,Mat *F)
63 {
64   Mat            B;
65   Mat_CHOLMOD    *chol;
66   PetscErrorCode ierr;
67   PetscInt       m=A->rmap->n,n=A->cmap->n;
68 
69   PetscFunctionBegin;
70   if (ftype != MAT_FACTOR_CHOLESKY) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"CHOLMOD cannot do %s factorization with AIJ, only %s",
71                                              MatFactorTypes[ftype],MatFactorTypes[MAT_FACTOR_CHOLESKY]);
72   /* Create the factorization matrix F */
73   ierr = MatCreate(((PetscObject)A)->comm,&B);CHKERRQ(ierr);
74   ierr = MatSetSizes(B,PETSC_DECIDE,PETSC_DECIDE,m,n);CHKERRQ(ierr);
75   ierr = MatSetType(B,((PetscObject)A)->type_name);CHKERRQ(ierr);
76   ierr = MatSeqAIJSetPreallocation(B,0,PETSC_NULL);CHKERRQ(ierr);
77   ierr = PetscNewLog(B,Mat_CHOLMOD,&chol);CHKERRQ(ierr);
78   chol->Wrap    = MatWrapCholmod_seqaij;
79   chol->Destroy = MatDestroy_SeqAIJ;
80   B->spptr      = chol;
81 
82   B->ops->view                   = MatView_CHOLMOD;
83   B->ops->choleskyfactorsymbolic = MatCholeskyFactorSymbolic_CHOLMOD;
84   B->ops->destroy                = MatDestroy_CHOLMOD;
85   ierr = PetscObjectComposeFunctionDynamic((PetscObject)B,"MatFactorGetSolverPackage_C","MatFactorGetSolverPackage_seqaij_cholmod",MatFactorGetSolverPackage_seqaij_cholmod);CHKERRQ(ierr);
86   B->factortype   = MAT_FACTOR_CHOLESKY;
87   B->assembled    = PETSC_TRUE;  /* required by -ksp_view */
88   B->preallocated = PETSC_TRUE;
89 
90   ierr = CholmodStart(B);CHKERRQ(ierr);
91   *F = B;
92   PetscFunctionReturn(0);
93 }
94 EXTERN_C_END
95