Contents

mkl_?getrfnp_compact

The routine computes the LU factorization, without pivoting, of a set of general, m x n matrices that have been stored in Compact format (see Compact Format).

Syntax

Description
The
mkl_?getrfnp_compact
routine calculates the LU factorizations of a set of
nm
general (m x n) matrices A, stored in Compact format, as A
c
= L
c
*U
c
. The factorization (output) data will also be stored in Compact format.
Compact routines have some limitations; see Numerical Limitations.
Input Parameters
layout
Specifies whether two-dimensional array storage is row-major (
MKL_ROW_MAJOR
) or column-major (
MKL_COL_MAJOR
).
m
The number of rows of A;
m
≥ 0.
n
The number of columns of A;
n
≥ 0.
ap
Points to the beginning of the the array which stores nm A
c
matrices.
See Compact Format for more details.
ldap
Leading dimension of A
c
.
format
Specifies the format of the compact matrices. See Compact Format or
mkl_get_format_compact
for details.
nm
Total number of matrices stored in Compact format.
Application Notes:
Before calling this routine, mkl_?gepack_compact must be called. After calling this routine, mkl_?geunpack_compact should be called, unless another compact routine will be subsequently called for the Compact format matrices.
The approximate number of floating-point operations for real flavors is:
nm*(2/3)n
3
, if m = n,
nm*(1/3)n
2
(3m-n), if m > n,
nm*(1/3)m
2
(3n-m), if m < n.
The number of operations for complex flavors is four times greater. Directly after calling this routine, you can call the following:
mkl_?getrinp_compact, for computing the inverse of the
nm
input matrices in Compact format
Output Parameters
ap
On exit, A
c
is overwritten by its factorization data.
ap
points to the beginning of
nm
L
c
and U
c
factors of A
c
. The unit diagonal elements of L
c
are not stored.
info
The parameter is not currently used in this routine. It is reserved for the future use.

Product and Performance Information

1

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