MatCreateSeqAIJHIPSPARSE#

Creates a sparse matrix in MATAIJHIPSPARSE (compressed row) format. This matrix will ultimately pushed down to AMD GPUs and use the HIPSPARSE library for calculations.

Synopsis#

#include "petscmat.h" 
PetscErrorCode MatCreateSeqAIJHIPSPARSE(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 set
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 (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.

Level#

intermediate

Location#

src/mat/impls/aij/seq/seqhipsparse/aijhipsparse.hip.cpp

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