Contents

p?gerq2

Computes an RQ factorization of a general rectangular matrix (unblocked algorithm).

Syntax

void
psgerq2
(
MKL_INT
*m
,
MKL_INT
*n
,
float
*a
,
MKL_INT
*ia
,
MKL_INT
*ja
,
MKL_INT
*desca
,
float
*tau
,
float
*work
,
MKL_INT
*lwork
,
MKL_INT
*info
);
void
pdgerq2
(
MKL_INT
*m
,
MKL_INT
*n
,
double
*a
,
MKL_INT
*ia
,
MKL_INT
*ja
,
MKL_INT
*desca
,
double
*tau
,
double
*work
,
MKL_INT
*lwork
,
MKL_INT
*info
);
void
pcgerq2
(
MKL_INT
*m
,
MKL_INT
*n
,
MKL_Complex8
*a
,
MKL_INT
*ia
,
MKL_INT
*ja
,
MKL_INT
*desca
,
MKL_Complex8
*tau
,
MKL_Complex8
*work
,
MKL_INT
*lwork
,
MKL_INT
*info
);
void
pzgerq2
(
MKL_INT
*m
,
MKL_INT
*n
,
MKL_Complex16
*a
,
MKL_INT
*ia
,
MKL_INT
*ja
,
MKL_INT
*desca
,
MKL_Complex16
*tau
,
MKL_Complex16
*work
,
MKL_INT
*lwork
,
MKL_INT
*info
);
Include Files
  • mkl_scalapack.h
Description
The
p?gerq2
function
computes an
RQ
factorization of a real/complex distributed
m
-by-
n
matrix
sub(
A
) =
A
(
ia
:
ia
+
m
-1
,
ja
:
ja
+
n
-1) =
R
*
Q
.
Input Parameters
m
(global) The number of rows in the distributed matrix sub(
A
).
(
m
≥0)
.
n
(global) The number of columns in the distributed matrix sub(
A
).
(
n
≥0)
.
a
(local).
Pointer into the local memory to an array of size
lld_a
*
LOC
c
(
ja
+
n
-1)
.
On entry, this array contains the local pieces of the
m
-by-
n
distributed matrix sub(
A
) which is to be factored.
ia
,
ja
(global) The row and column indices in the global matrix
A
indicating the first row and the first column of sub(
A
), respectively.
desca
(global and local) array of size
dlen_
. The array descriptor for the distributed matrix A.
work
(local).
This is a workspace array of size
lwork
.
lwork
(local or global)
The size of the array
work
.
lwork
is local input and must be at least
lwork
nq
0 + max(1,
mp
0)
, where
iroff
=
mod
(
ia
-1,
mb_a
),
icoff
= mod(
ja
-1,
nb_a
)
,
iarow
=
indxg2p
(
ia
,
mb_a
,
myrow
,
rsrc_a
,
nprow
)
,
iacol
=
indxg2p
(
ja
,
nb_a
,
mycol
,
csrc_a
,
npcol
),
mp
0 =
numroc
(
m
+
iroff
,
mb_a
,
myrow
,
iarow
,
nprow
)
,
nq
0 =
numroc
(
n
+
icoff
,
nb_a
,
mycol
,
iacol
,
npcol
)
,
indxg2p
and
numroc
are ScaLAPACK tool functions;
myrow
,
mycol
,
nprow
, and
npcol
can be determined by calling the
function
blacs_gridinfo
.
If
lwork
= -1, then
lwork
is global input and a workspace query is assumed; the
function
only calculates the minimum and optimal size for all work arrays. Each of these values is returned in the first entry of the corresponding work array, and no error message is issued by
pxerbla
.
Output Parameters
a
(local).
On exit,
if
m
n
, the upper triangle of
A
(
ia+m-n:ia+m-1
,
ja:ja+n-1
) contains the
m
-by-
m
upper triangular matrix
R
;
if
m
n
, the elements on and above the (
m-n
)-th subdiagonal contain the
m
-by-
n
upper trapezoidal matrix
R
; the remaining elements, with the array
tau
, represent the orthogonal/ unitary matrix
Q
as a product of elementary reflectors
(see
Application Notes
below)
.
tau
(local).
Array of size
LOCr
(
ia
+
m
-1). This array contains the scalar factors of the elementary reflectors.
tau
is tied to the distributed matrix
A
.
work
On exit,
work
[0]
returns the minimal and optimal
lwork
.
info
(local)
If
info
= 0, the execution is successful.
if
info
< 0: If the
i
-th argument is an array and the
j
-th entry
, indexed
j
-1,
had an illegal value, then
info
= - (
i
*100+
j
), if the
i
-th argument is a scalar and had an illegal value, then
info
= -
i
.
Application Notes
The matrix
Q
is represented as a product of elementary reflectors
Q
=
H
(
ia
)*
H
(
ia
+1)*...*
H
(
ia
+
k
-1)
for real flavors,
Q
= (
H
(
ia
))
H
*(
H
(
ia
+1))
H
...*(
H
(
ia
+
k
-1))
H
for complex flavors,
where
k
= min(
m
,
n
)
.
Each
H
(
i
)
has the form
H
(
i
) =
I
-
tau
*
v
*
v'
,
where
tau
is a real/complex scalar, and
v
is a real/complex vector with
v
(
n-k
+
i
+1:
n
) = 0
and
v
(
n
-
k
+
i
) = 1
;
v
(1:
n
-
k
+
i
-1)
for real flavors or
conjg
(
v
(1:
n
-
k
+
i
-1))
for complex flavors is stored on exit in
A
(
ia
+
m-k
+
i
-1,
ja
:
ja
+
n-k
+
i
-2)
, and
tau
in
tau
[
ia
+
m-k
+
i
-2]
.

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