mkl_sparse_?

Developer Reference for Intel® oneAPI Math Kernel Library for C

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ID 766684

Date 11/07/2023

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mkl_sparse_?_syrkd

Computes the product of sparse matrix with its transpose (or conjugate transpose) and stores the result as a dense matrix.

Syntax

sparse_status_t mkl_sparse_s_syrkd (sparse_operation_t operation, const sparse_matrix_t A, float alpha, float beta, float *C, sparse_layout_t layout, MKL_INT ldc);

sparse_status_t mkl_sparse_d_syrkd (sparse_operation_t operation, const sparse_matrix_t A, double alpha, double beta, double *C, sparse_layout_t layout, MKL_INT ldc);

sparse_status_t mkl_sparse_c_syrkd (sparse_operation_t operation, const sparse_matrix_t A, const MKL_Complex8 alpha, MKL_Complex8 beta, MKL_Complex8 *C, sparse_layout_t layout, MKL_INT ldc);

sparse_status_t mkl_sparse_z_syrkd (sparse_operation_t operation, const sparse_matrix_t A, MKL_Complex16 alpha, MKL_Complex16 beta, MKL_Complex16 *C, sparse_layout_t layout, const MKL_INT ldc);

Include Files

mkl_spblas.h

Description

The mkl_sparse_?_syrkd routine performs a sparse matrix-matrix operation which results in a dense matrix C that is either symmetric (real case) or Hermitian (complex case):

C := beta*C + alpha*A*op(A)

C := beta*C + alpha*op(A)*A

depending on the matrix modifier op which can be the transpose for real matrices or conjugate transpose for complex matrices. Here, A is a sparse matrix and C is a dense matrix.

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 the operation op() performed on the input matrix.

SPARSE_OPERATION_NON_TRANSPOSE, Non-transpose, C := beta*C + alpha*A*op(A) where op(*) is the transpose (real matrices) or conjugate transpose (complex matrices).

SPARSE_OPERATION_TRANSPOSE, Transpose,C := beta*C + alpha*A^T*A for real matrix A.

SPARSE_OPERATION_CONJUGATE_TRANSPOSE Conjugate transpose,C := beta*C + alpha*A^H*A for complex matrix A.

A

Handle which contains the sparse matrix A.

alpha

Scalar parameter alpha.

beta

Scalar parameter beta.

layout

Describes the storage scheme for the dense matrix.

layout = SPARSE_LAYOUT_COLUMN_MAJOR	Storage of elements uses column-major layout.
layout = SPARSE_LAYOUT_ROW_MAJOR	Storage of elements uses row-major layout.

ldc

Leading dimension of matrix C.

NOTE:

Only the upper triangular part of matrix C is processed. Therefore, you must set real values of alpha and beta for complex matrices in order to obtain a Hermitian matrix.

Output Parameters

C: Resulting dense 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.

Parent topic: Inspector-Executor Sparse BLAS Execution Routines

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