Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

Contents

mkl_?csrsymv

Computes matrix - vector product of a sparse symmetrical matrix stored in the CSR format (3-array variation) with one-based indexing (deprecated).

Syntax

void
mkl_scsrsymv
(
const
char
*uplo
,
const
MKL_INT
*m
,
const
float
*a
,
const
MKL_INT
*ia
,
const
MKL_INT
*ja
,
const
float
*x
,
float
*y
);
void
mkl_dcsrsymv
(
const
char
*uplo
,
const
MKL_INT
*m
,
const
double
*a
,
const
MKL_INT
*ia
,
const
MKL_INT
*ja
,
const
double
*x
,
double
*y
);
void
mkl_ccsrsymv
(
const
char
*uplo
,
const
MKL_INT
*m
,
const
MKL_Complex8
*a
,
const
MKL_INT
*ia
,
const
MKL_INT
*ja
,
const
MKL_Complex8
*x
,
MKL_Complex8
*y
);
void
mkl_zcsrsymv
(
const
char
*uplo
,
const
MKL_INT
*m
,
const
MKL_Complex16
*a
,
const
MKL_INT
*ia
,
const
MKL_INT
*ja
,
const
MKL_Complex16
*x
,
MKL_Complex16
*y
);
Include Files
  • mkl.h
Description
This routine is deprecated. Use mkl_sparse_?_mvfrom the
Intel® oneAPI Math Kernel Library
 Inspector-executor Sparse BLAS interface instead.
The
mkl_?csrsymv
 routine performs a matrix-vector operation defined as 
y := A*x
where:
x
 and
y
 are vectors,
A
 is an upper or lower triangle of the symmetrical sparse matrix in the CSR format (3-array variation).
This routine supports only one-based indexing of the input arrays.
Input Parameters
 
uplo
Specifies whether the upper or low triangle of the matrix
A
 is used.
If
uplo
 =
'U'
 or
'u'
, then the upper triangle of the matrix
A
 is used.
If
uplo
 =
'L'
 or
'l'
, then the low triangle of the matrix
A
 is used.
m
Number of rows of the matrix
A
.
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.
ia
Array of length
m
 + 1
, containing 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
] -
ia
[0]
 is equal to the number of non-zeros. Refer to
rowIndex
 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
.
Its length is equal to the length of the array
a
. Refer to
columns
 array description in Sparse Matrix Storage Formats for more details.
x
Array, size is
m
.
On entry, the array
x
 must contain the vector
x
.
Output Parameters
y
Array, size at least
m
.
On exit, the array
y
 must contain the vector
y
.

Product and Performance Information

1

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