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_?_mm from the
Intel® MKL
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

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