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# MatCreateSeqAIJMKL
Creates a sparse matrix of type `MATSEQAIJMKL`. 
## Synopsis
```
PetscErrorCode MatCreateSeqAIJMKL(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



## Options Database Keys

- ***-mat_aijmkl_no_spmv2 -*** disable use of the SpMV2 inspector-executor routines
- ***-mat_aijmkl_eager_inspection -*** perform MKL "inspection" phase upon matrix assembly; default is to do "lazy" inspection,
performing this step the first time the matrix is applied





## Notes
If `nnz` is given then `nz` is ignored

This type inherits from `MATSEQAIJ` and is largely identical, but uses sparse BLAS
routines from Intel MKL whenever possible.

If the installed version of MKL supports the "SpMV2" sparse
inspector-executor routines, then those are used by default.

`MatMult()`, `MatMultAdd()`, `MatMultTranspose()`, `MatMultTransposeAdd()`, `MatMatMult()`, `MatTransposeMatMult()`, and `MatPtAP()`
(for symmetric A) operations are currently supported.
MKL version 18, update 2 or later is required for `MatPtAP()`, `MatPtAPNumeric()` and `MatMatMultNumeric()`.


## See Also
 [](ch_matrices), `Mat`, `MatCreate()`, `MatCreateMPIAIJMKL()`, `MatSetValues()`

## Level
intermediate

## Location
<A HREF="PETSC_DOC_OUT_ROOT_PLACEHOLDER/src/mat/impls/aij/seq/aijmkl/aijmkl.c.html#MatCreateSeqAIJMKL">src/mat/impls/aij/seq/aijmkl/aijmkl.c</A>


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[Edit on GitLab](https://gitlab.com/petsc/petsc/-/edit/release/src/mat/impls/aij/seq/aijmkl/aijmkl.c)


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