Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

Contents

mkl_?diamm

Computes matrix-matrix product of a sparse matrix stored in the diagonal format with one-based indexing (deprecated).

Syntax

void
mkl_sdiamm
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
const
float
*alpha
,
const
char
*matdescra
,
const
float
*val
,
const
MKL_INT
*lval
,
const
MKL_INT
*idiag
,
const
MKL_INT
*ndiag
,
const
float
*b
,
const
MKL_INT
*ldb
,
const
float
*beta
,
float
*c
,
const
MKL_INT
*ldc
);
void
mkl_ddiamm
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
const
double
*alpha
,
const
char
*matdescra
,
const
double
*val
,
const
MKL_INT
*lval
,
const
MKL_INT
*idiag
,
const
MKL_INT
*ndiag
,
const
double
*b
,
const
MKL_INT
*ldb
,
const
double
*beta
,
double
*c
,
const
MKL_INT
*ldc
);
void
mkl_cdiamm
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
const
MKL_Complex8
*alpha
,
const
char
*matdescra
,
const
MKL_Complex8
*val
,
const
MKL_INT
*lval
,
const
MKL_INT
*idiag
,
const
MKL_INT
*ndiag
,
const
MKL_Complex8
*b
,
const
MKL_INT
*ldb
,
const
MKL_Complex8
*beta
,
MKL_Complex8
*c
,
const
MKL_INT
*ldc
);
void
mkl_zdiamm
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_INT
*n
,
const
MKL_INT
*k
,
const
MKL_Complex16
*alpha
,
const
char
*matdescra
,
const
MKL_Complex16
*val
,
const
MKL_INT
*lval
,
const
MKL_INT
*idiag
,
const
MKL_INT
*ndiag
,
const
MKL_Complex16
*b
,
const
MKL_INT
*ldb
,
const
MKL_Complex16
*beta
,
MKL_Complex16
*c
,
const
MKL_INT
*ldc
);
Include Files
  • mkl.h
Description
This routine is deprecated. Use Use mkl_sparse_?_mmfrom the
Intel® oneAPI Math Kernel Library
 Inspector-executor Sparse BLAS interface instead.
The
mkl_?diamm
 routine performs a matrix-matrix operation defined as 
C := alpha*A*B + beta*C
or 
C := alpha*A
T
*B + beta*C,
or 
C := alpha*A
H
*B + beta*C,
where:
alpha
 and
beta
 are scalars,
B
 and
C
 are dense matrices,
A
 is an
m
-by-
k
 sparse matrix in the diagonal format,
A
T
 is the transpose of
A
, and
A
H
 is the conjugate transpose of
A
.
This routine supports only one-based indexing of the input arrays.
Input Parameters
transa
Specifies the operation.
If
transa
 =
'N'
 or
'n'
, then
C
 :=
alpha
*
A
*
B
 +
beta
*
C
,
If
transa
 =
'T'
 or
't'
, then
C
 :=
alpha
*
A
T
*
B
 +
beta
*
C
,
If
transa
 =
'C'
 or
'c'
, then
C
 :=
alpha
*
A
H
*
B
 +
beta
*
C
.
m
Number of rows of the matrix
A
.
n
Number of columns of the matrix
C
.
k
Number of columns of the matrix
A
.
alpha
Specifies the scalar
alpha
.
matdescra
Array of six elements, specifies properties of the matrix used for operation. Only first four array elements are used, their possible values are given in
Table “Possible Values of the Parameter
matdescra
 (
descra
)”
. Possible combinations of element values of this parameter are given in
Table “Possible Combinations of Element Values of the Parameter
matdescra
”
.
val
Two-dimensional array of size
lval
 by
ndiag
, contains non-zero diagonals of the matrix
A
. Refer to
values
 array description in Diagonal Storage Scheme for more details.
lval
Leading dimension of
val
,
lval
≥
m
. Refer to
lval
 description in Diagonal Storage Scheme for more details.
idiag
Array of length
ndiag
, contains the distances between main diagonal and each non-zero diagonals in the matrix
A
.
Refer to
distance
 array description in Diagonal Storage Scheme for more details.
ndiag
Specifies the number of non-zero diagonals of the matrix
A
.
b
Array, size
ldb
*
n
.
On entry with
transa
 =
'N'
 or
'n'
, the leading
k
-by-
n
 part of the array
b
 must contain the matrix
B
, otherwise the leading
m
-by-
n
 part of the array
b
 must contain the matrix
B
.
ldb
Specifies the leading dimension of
b
 as declared in the calling (sub)program.
beta
Specifies the scalar
beta
.
c
Array, size
ldc
 by
n
.
On entry, the leading
m
-by-
n
 part of the array
c
 must contain the matrix
C
, otherwise the leading
k
-by-
n
 part of the array
c
 must contain the matrix
C
.
ldc
Specifies the leading dimension of
c
 as declared in the calling (sub)program.
Output Parameters
c
Overwritten by the matrix
(
alpha
*
A
*
B
 +
beta
*
C
)
,
(
alpha
*
A
T
*
B
 +
beta
*
C
)
, or
(
alpha
*
A
H
*
B
 +
beta
*
C
)
.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.