MatCreateSeqAIJViennaCL#

Creates a sparse matrix in MATSEQAIJVIENNACL (compressed row) format (the default parallel PETSc format). This matrix will ultimately be pushed down to GPUs and use the ViennaCL library for calculations. For good matrix assembly performance the user should preallocate the matrix storage by setting the parameter nz (or the array nnz). By setting these parameters accurately, performance during matrix assembly can be increased substantially.

Synopsis#

#include "petscmat.h" 
PetscErrorCode MatCreateSeqAIJViennaCL(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt nz, const PetscInt nnz[], Mat *A)

Collective

Input Parameters#

  • comm - MPI communicator, set to PETSC_COMM_SELF

  • m - number of rows

  • n - number of columns

  • nz - number of nonzeros per row (same for all rows)

  • nnz - array containing the number of nonzeros in the various rows (possibly different for each row) or NULL

Output Parameter#

  • A - the matrix

It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(), MatXXXXSetPreallocation() paradigm instead of this routine directly. [MatXXXXSetPreallocation() is, for example, MatSeqAIJSetPreallocation()]

Notes#

If nnz is given then nz is ignored

The AIJ format, also called compressed row storage, is fully compatible with standard Fortran 77 storage. That is, the stored row and column indices can begin at either one (as in Fortran) or zero. See the users’ manual for details.

Specify the preallocated storage with either nz or nnz (not both). Set nz = PETSC_DEFAULT and nnz = NULL for PETSc to control dynamic memory allocation. For large problems you MUST preallocate memory or you will get TERRIBLE performance, see the users’ manual chapter on matrices.

See Also#

MATSEQAIJVIENNACL, MatCreate(), MatCreateAIJ(), MatCreateAIJCUSPARSE(), MatSetValues(), MatSeqAIJSetColumnIndices(), MatCreateSeqAIJWithArrays(), MatCreateAIJ()

Level#

intermediate

Location#

src/mat/impls/aij/seq/seqviennacl/aijviennacl.cxx

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