mkl_sparse

Developer Reference for Intel® oneAPI Math Kernel Library for C

Download PDF

ID 766684

Date 4/28/2026

Version

Public

mkl_sparse_syrk

Computes the product of sparse matrix with its transpose (or conjugate transpose) and stores the result in a newly allocated sparse matrix.

Syntax

sparse_status_t mkl_sparse_syrk ( const sparse_operation_t operation,
                                  const sparse_matrix_t A,
                                        sparse_matrix_t *C );

Include Files

mkl_spblas.h

Description

The mkl_sparse_syrk routine performs a sparse matrix-matrix operation which results in a sparse matrix C that is either Symmetric (real precisions) or Hermitian (complex precisions):

\[C \leftarrow A \cdot op(A)\]

where \(op()\) is the transpose for real matrices and conjugate transpose for complex matrices OR

\[C \leftarrow op(A) \cdot A\]

depending on the matrix modifier \(op()\) which can be the transpose for real matrices or conjugate transpose for complex matrices.

Here, \(A\) and \(C\) are sparse matrices.

NOTE:

This routine is not supported for sparse matrices in COO or CSC formats. It supports only CSR and BSR formats. Additionally, this routine supports only the sorted CSR and sorted BSR formats for the input matrix. If data is unsorted, call the mkl_sparse_order routine before either mkl_sparse_syrk or mkl_sparse_?_syrkd .

Input Parameters

operation

Specifies operation op() on input matrix:

`operation`	Description
`SPARSE_OPERATION_NON_TRANSPOSE`	`\(C \leftarrow A\cdot A^{T}\)` for real matrices and `\(C \leftarrow A\cdot A^{H}\)` for complex matrices.
`SPARSE_OPERATION_TRANSPOSE`	`\(C \leftarrow A^{T}\cdot A\)` for real matrix A.
`SPARSE_OPERATION_CONJUGATE_TRANSPOSE`	`\(C \leftarrow A^{H}\cdot A\)` for complex matrix A.

A

Handle which contains the sparse matrix \(A\) .

Output Parameters

C

Handle which contains the resulting sparse matrix. Only the upper-triangular part of the matrix is computed.

Return Values

The function returns a value indicating whether the operation was successful or not, and why.

`SPARSE_STATUS_SUCCESS`	The operation was successful.
`SPARSE_STATUS_NOT_INITIALIZED`	The routine encountered an empty handle or matrix array.
`SPARSE_STATUS_ALLOC_FAILED`	Internal memory allocation failed.
`SPARSE_STATUS_INVALID_VALUE`	The input parameters contain an invalid value.
`SPARSE_STATUS_EXECUTION_FAILED`	Execution failed.
`SPARSE_STATUS_INTERNAL_ERROR`	An error in algorithm implementation occurred.
`SPARSE_STATUS_NOT_SUPPORTED`	The requested operation is not supported.

Select Your Language

Using Intel.com Search

Quick Links

Recent Searches

Advanced Search

Only search in