MatCreateSeqAIJCUSPARSE#

Creates a sparse matrix in MATAIJCUSPARSE (compressed row) format (the default parallel PETSc format). This matrix will ultimately pushed down to NVIDIA GPUs and use the CuSPARSE library for calculations. For good matrix assembly performance the user should preallocate the matrix storage by setting the parameter nz (or the array nnz).

Synopsis#

#include "petscmat.h" 
PetscErrorCode MatCreateSeqAIJCUSPARSE(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), ignored if nnz is provide

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

Output Parameter#

  • A - the matrix

Notes#

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

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

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.

See Also#

Matrices, Mat, MATSEQAIJCUSPARSE, MatCreate(), MatCreateAIJ(), MatSetValues(), MatSeqAIJSetColumnIndices(), MatCreateSeqAIJWithArrays(), MatCreateAIJ(), MATSEQAIJCUSPARSE, MATAIJCUSPARSE

Level#

intermediate

Location#

src/mat/impls/aij/seq/seqcusparse/aijcusparse.cu

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