Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

  • 2021.1
  • 12/04/2020
  • Public Content
Contents

mkl_?cscsv

Solves a system of linear equations for a sparse matrix in the CSC format (deprecated).

Syntax

void
mkl_scscsv
(
const
char
*transa
,
const
MKL_INT
*m
,
const
float
*alpha
,
const
char
*matdescra
,
const
float
*val
,
const
MKL_INT
*indx
,
const
MKL_INT
*pntrb
,
const
MKL_INT
*pntre
,
const
float
*x
,
float
*y
);
void
mkl_dcscsv
(
const
char
*transa
,
const
MKL_INT
*m
,
const
double
*alpha
,
const
char
*matdescra
,
const
double
*val
,
const
MKL_INT
*indx
,
const
MKL_INT
*pntrb
,
const
MKL_INT
*pntre
,
const
double
*x
,
double
*y
);
void
mkl_ccscsv
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_Complex8
*alpha
,
const
char
*matdescra
,
const
MKL_Complex8
*val
,
const
MKL_INT
*indx
,
const
MKL_INT
*pntrb
,
const
MKL_INT
*pntre
,
const
MKL_Complex8
*x
,
MKL_Complex8
*y
);
void
mkl_zcscsv
(
const
char
*transa
,
const
MKL_INT
*m
,
const
MKL_Complex16
*alpha
,
const
char
*matdescra
,
const
MKL_Complex16
*val
,
const
MKL_INT
*indx
,
const
MKL_INT
*pntrb
,
const
MKL_INT
*pntre
,
const
MKL_Complex16
*x
,
MKL_Complex16
*y
);
Include Files
  • mkl.h
Description
This routine is deprecated. Use mkl_sparse_?_trsvfrom the
Intel® oneAPI Math Kernel Library
 Inspector-executor Sparse BLAS interface instead.
The
mkl_?cscsv
 routine solves a system of linear equations with matrix-vector operations for a sparse matrix in the CSC format: 
y := alpha*inv(A)*x
or 
y := alpha*inv(A
T
)* x,
where:
alpha
 is scalar,
x
 and
y
 are vectors,
A
 is a sparse upper or lower triangular matrix with unit or non-unit main diagonal,
A
T
 is the transpose of
A
.
This routine supports a CSC format both with one-based indexing and zero-based indexing.
Input Parameters
transa
Specifies the operation.
If
transa
 =
'N'
 or
'n'
, then
y
 :=
alpha
*inv(
A
)*
x
If
transa
=
'T'
 or
't'
 or
'C'
 or
'c'
, then
y
 :=
alpha
*inv(
A
T
)*
x
,
m
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
Array containing non-zero elements of the matrix
A
.
Its length is
pntre
[
m
-1]
 -
pntrb
[0]
.
Refer to
values
 array description in CSC Format for more details.
The non-zero elements of the given row of the matrix must be stored in the same order as they appear in the row (from left to right).
No diagonal element can be omitted from a sparse storage if the solver is called with the non-unit indicator.
indx
For one-based indexing, array containing the row indices plus one for each non-zero element of the matrix
A
.
For zero-based indexing, array containing the row indices for each non-zero element of the matrix
A
.
Its length is equal to length of the
val
 array.
Refer to
columns
 array description in CSC Format for more details.
Row indices must be sorted in increasing order for each column.
pntrb
Array of length
m
.
This array contains column indices, such that
pntrb
[
i
] -
pntrb
[0]
 is the first index of column
i
 in the arrays
val
 and
indx
.
Refer to
pointerb
 array description in CSC Format for more details.
pntre
Array of length
m
.
This array contains column indices, such that
pntre
[
i
] -
pntrb
[0] - 1
 is the last index of column
i
 in the arrays
val
 and
indx
.
Refer to
pointerE
 array description in CSC Format for more details.
x
Array, size at least
m
.
On entry, the array
x
 must contain the vector
x
. The elements are accessed with unit increment.
y
Array, size at least
m
.
On entry, the array
y
 must contain the vector
y
. The elements are accessed with unit increment.
Output Parameters
y
Contains the solution vector
x
.

Product and Performance Information

1

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