Developer Reference

  • 0.10
  • 10/21/2020
  • Public Content
Contents

mkl_sparse_?_spmmd

Computes the product of two sparse matrices and stores the result as a dense matrix.

Syntax

sparse_status_t mkl_sparse_s_spmmd
(
const sparse_operation_t
operation
,
const
sparse_matrix_t
A
,
const
sparse_matrix_t
B
,
const sparse_layout_t
layout
,
float
*C
,
const MKL_INT
ldc
);
sparse_status_t mkl_sparse_d_spmmd
(
const sparse_operation_t
operation
,
const
sparse_matrix_t
A
,
const
sparse_matrix_t
B
,
const sparse_layout_t
layout
,
double
*C
,
const MKL_INT
ldc
);
sparse_status_t mkl_sparse_c_spmmd
(
const sparse_operation_t
operation
,
const
sparse_matrix_t
A
,
const
sparse_matrix_t
B
,
const sparse_layout_t
layout
,
MKL_Complex8
*C
,
const MKL_INT
ldc
);
sparse_status_t mkl_sparse_z_spmmd
(
const sparse_operation_t
operation
,
const
sparse_matrix_t
A
,
const
sparse_matrix_t
B
,
const sparse_layout_t
layout
,
MKL_Complex16
*C
,
const MKL_INT
ldc
);
Include Files
  • mkl_spblas.h
Description
The
mkl_sparse_?_spmmd
routine performs a matrix-matrix operation:
C := op(A)*B
where
A
and
B
are sparse matrices,
op
is a matrix modifier for matrix
A
, and
C
is a dense matrix.
This routine is not supported for sparse matrices in the COO format. For sparse matrices in BSR format, these combinations of (
indexing
,
block_layout
) are supported:
  • (
    SPARSE_INDEX_BASE_ZERO
    ,
    SPARSE_LAYOUT_ROW_MAJOR
    )
  • (
    SPARSE_INDEX_BASE_ONE
    ,
    SPARSE_LAYOUT_COLUMN_MAJOR
    )
Input Parameters
operation
Specifies operation
op()
on input matrix.
SPARSE_OPERATION_NON_TRANSPOSE
Non-transpose,
op(
A
) =
A
.
SPARSE_OPERATION_TRANSPOSE
Transpose,
op(
A
) =
A
T
.
SPARSE_OPERATION_CONJUGATE_TRANSPOSE
Conjugate transpose,
op(
A
) =
A
H
.
A
Handle which contains the sparse matrix
A
.
B
Handle which contains the sparse matrix
B
.
layout
Describes the storage scheme for the dense matrix:
SPARSE_LAYOUT_COLUMN_MAJOR
Storage of elements uses column major layout.
SPARSE_LAYOUT_ROW_MAJOR
Storage of elements uses row major layout.
ldC
Leading dimension of matrix
C
.
Output Parameters
C
Resulting dense matrix.
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.

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserverd for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804