Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

  • 0.9
  • 09/09/2020
  • Public Content
Contents

mkl_?csrmultd

Computes product of two sparse matrices stored in the CSR format (3-array variation) with one-based indexing. The result is stored in the dense matrix (deprecated).

Syntax

void
mkl_dcsrmultd
(
const
char
*trans
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
double
*a
,
MKL_INT
*ja
,
MKL_INT
*ia
,
double
*b
,
MKL_INT
*jb
,
MKL_INT
*ib
,
double
*c
,
MKL_INT
*ldc
);
void
mkl_scsrmultd
(
const
char
*trans
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
float
*a
,
MKL_INT
*ja
,
MKL_INT
*ia
,
float
*b
,
MKL_INT
*jb
,
MKL_INT
*ib
,
float
*c
,
MKL_INT
*ldc
);
void
mkl_ccsrmultd
(
const
char
*trans
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
MKL_Complex8
*a
,
MKL_INT
*ja
,
MKL_INT
*ia
,
MKL_Complex8
*b
,
MKL_INT
*jb
,
MKL_INT
*ib
,
MKL_Complex8
*c
,
MKL_INT
*ldc
);
void
mkl_zcsrmultd
(
const
char
*trans
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
MKL_Complex16
*a
,
MKL_INT
*ja
,
MKL_INT
*ia
,
MKL_Complex16
*b
,
MKL_INT
*jb
,
MKL_INT
*ib
,
MKL_Complex16
*c
,
MKL_INT
*ldc
);
Include Files
  • mkl.h
Description
This routine is deprecated. Use mkl_sparse_?_spmmdfrom the
Intel® oneAPI Math Kernel Library
 Inspector-executor Sparse BLAS interface instead.
The
mkl_?csrmultd
 routine performs a matrix-matrix operation defined as 
C := op(A)*B
where:
A
,
B
 are the sparse matrices in the CSR format (3-array variation),
C
 is dense matrix;
op(
A
)
 is one of
op(
A
) =
A
, or
op(
A
) =
A
T
, or
op(
A
) =
A
H
 .
The routine works correctly if and only if the column indices in sparse matrix representations of matrices
A
 and
B
 are arranged in the increasing order for each row.
This routine supports only one-based indexing of the input arrays.
Input Parameters
trans
Specifies the operation.
If
trans
 =
'N'
 or
'n'
, then
C
 :=
A
*
B
If
trans
 =
'T'
 or
't'
 or
'C'
 or
'c'
, then
C
 :=
A
T
*
B
.
m
Number of rows of the matrix
A
.
n
Number of columns of the matrix
A
.
k
Number of columns of the matrix
B
.
a
Array containing non-zero elements of the matrix
A
. Its length is equal to the number of non-zero elements in the matrix
A
. Refer to
values
 array description in Sparse Matrix Storage Formats for more details.
ja
Array containing the column indices
plus one
 for each non-zero element of the matrix
A
. For each row the column indices must be arranged in the increasing order.
The length of this array is equal to the length of the array
a
. Refer to
columns
 array description in Sparse Matrix Storage Formats for more details.
ia
Array of length
m
 + 1
 when
trans
 =
'N'
 or
'n'
, or
n
 + 1
 otherwise.
This array contains indices of elements in the array
a
, such that
ia
[
i
] -
ia
[0]
 is the index in the array
a
 of the first non-zero element from the row
i
. The value of the last element
ia
[
m
]
 or
ia
[
n
]
 is equal to the number of non-zero elements of the matrix
A
 plus one. Refer to
rowIndex
 array description in Sparse Matrix Storage Formats for more details.
b
Array containing non-zero elements of the matrix
B
. Its length is equal to the number of non-zero elements in the matrix
B
. Refer to
values
 array description in Sparse Matrix Storage Formats for more details.
jb
Array containing the column indices
plus one
 for each non-zero element of the matrix
B
. For each row the column indices must be arranged in the increasing order.
The length of this array is equal to the length of the array
b
. Refer to
columns
 array description in Sparse Matrix Storage Formats for more details.
ib
Array of length
m
 + 1
.
This array contains indices of elements in the array
b
, such that
ib
[
i
] -
ib
[0]
 is the index in the array
b
 of the first non-zero element from the row
i
. The value of the last element
ib
[
m
]
 is equal to the number of non-zero elements of the matrix
B
 plus one. Refer to
rowIndex
 array description in Sparse Matrix Storage Formats for more details.
Output Parameters
c
Array containing non-zero elements of the result matrix
C
.
ldc
Specifies the leading dimension of the dense matrix
C
 as declared in the calling (sub)program. Must be at least
max(
m
, 1)
 when
trans
 =
'N'
 or
'n'
, or
max(1,
n
)
 otherwise.

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 reserved 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