MatCreateAIJHIPSPARSE#

Creates a sparse matrix in AIJ (compressed row) format (the default parallel PETSc format).

Synopsis#

#include "petscmat.h" 
PetscErrorCode MatCreateAIJHIPSPARSE(MPI_Comm comm, PetscInt m, PetscInt n, PetscInt M, PetscInt N, PetscInt d_nz, const PetscInt d_nnz[], PetscInt o_nz, const PetscInt o_nnz[], Mat *A)

Collective

Input Parameters#

comm - MPI communicator, set to PETSC_COMM_SELF
m - number of local rows (or PETSC_DECIDE to have calculated if M is given) This value should be the same as the local size used in creating the y vector for the matrix-vector product y = Ax.
n - This value should be the same as the local size used in creating the x vector for the matrix-vector product y = Ax. (or PETSC_DECIDE to have calculated if N is given) For square matrices n is almost always m.
M - number of global rows (or PETSC_DETERMINE to have calculated if m is given)
N - number of global columns (or PETSC_DETERMINE to have calculated if n is given)
d_nz - number of nonzeros per row (same for all rows), for the “diagonal” portion of the matrix
d_nnz - array containing the number of nonzeros in the various rows (possibly different for each row) or NULL, for the “diagonal” portion of the matrix
o_nz - number of nonzeros per row (same for all rows), for the “off-diagonal” portion of the matrix
o_nnz - array containing the number of nonzeros in the various rows (possibly different for each row) or NULL, for the “off-diagonal” portion of the matrix

Output Parameter#

A - the matrix

Notes#

This matrix will ultimately pushed down to AMD GPUs and use the HIPSPARSE library for calculations. For good matrix assembly performance the user should preallocate the matrix storage by setting the parameter nz (or the array nnz).

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

If d_nnz (o_nnz) is given then d_nz (o_nz) is ignored

The MATAIJ 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 d_nz (o_nz) or d_nnz (o_nnz) (not both). Set d_nz (o_nz) = PETSC_DEFAULT and d_nnz (o_nnz) = NULL for PETSc to control dynamic memory allocation.

Level#

intermediate

Location#

src/mat/impls/aij/mpi/mpihipsparse/mpiaijhipsparse.hip.cpp

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