Section: LAPACK routine (version 1.5) (l)Updated: 12 May 1997Local indexUp
PDPOEQU - compute row and column scalings intended to equilibrate a distributed symmetric positive definite matrix sub( A ) = A(IA:IA+N-1,JA:JA+N-1) and reduce its condition number (with respect to the two-norm)
N, A, IA, JA, DESCA, SR, SC, SCOND, AMAX,
IA, INFO, JA, N
PRECISION AMAX, SCOND
DESCA( * )
PRECISION A( * ), SC( * ), SR( * )
PDPOEQU computes row and column scalings intended to
equilibrate a distributed symmetric positive definite matrix
sub( A ) = A(IA:IA+N-1,JA:JA+N-1) and reduce its condition number
(with respect to the two-norm). SR and SC contain the scale
factors, S(i) = 1/sqrt(A(i,i)), chosen so that the scaled distri-
buted matrix B with elements B(i,j) = S(i)*A(i,j)*S(j) has ones on
the diagonal. This choice of SR and SC puts the condition number
of B within a factor N of the smallest possible condition number
over all possible diagonal scalings.
The scaling factor are stored along process rows in SR and along
process columns in SC. The duplication of information simplifies
greatly the application of the factors.
Each global data object is described by an associated description
vector. This vector stores the information required to establish
the mapping between an object element and its corresponding process
and memory location.
Let A be a generic term for any 2D block cyclicly distributed array.
Such a global array has an associated description vector DESCA.
In the following comments, the character _ should be read as
"of the global array".
NOTATION STORED IN EXPLANATION
--------------- -------------- --------------------------------------
DTYPE_A(global) DESCA( DTYPE_ )The descriptor type. In this case,
DTYPE_A = 1.
CTXT_A (global) DESCA( CTXT_ ) The BLACS context handle, indicating
the BLACS process grid A is distribu-
ted over. The context itself is glo-
bal, but the handle (the integer
value) may vary.
M_A (global) DESCA( M_ ) The number of rows in the global
N_A (global) DESCA( N_ ) The number of columns in the global
MB_A (global) DESCA( MB_ ) The blocking factor used to distribute
the rows of the array.
NB_A (global) DESCA( NB_ ) The blocking factor used to distribute
the columns of the array.
RSRC_A (global) DESCA( RSRC_ ) The process row over which the first
row of the array A is distributed.
CSRC_A (global) DESCA( CSRC_ ) The process column over which the
first column of the array A is
LLD_A (local) DESCA( LLD_ ) The leading dimension of the local
array. LLD_A >= MAX(1,LOCr(M_A)).
Let K be the number of rows or columns of a distributed matrix,
and assume that its process grid has dimension p x q.
LOCr( K ) denotes the number of elements of K that a process
would receive if K were distributed over the p processes of its
Similarly, LOCc( K ) denotes the number of elements of K that a
process would receive if K were distributed over the q processes of
its process row.
The values of LOCr() and LOCc() may be determined via a call to the
ScaLAPACK tool function, NUMROC:
LOCr( M ) = NUMROC( M, MB_A, MYROW, RSRC_A, NPROW ),
LOCc( N ) = NUMROC( N, NB_A, MYCOL, CSRC_A, NPCOL ).
An upper bound for these quantities may be computed by:
LOCr( M ) <= ceil( ceil(M/MB_A)/NPROW )*MB_A
LOCc( N ) <= ceil( ceil(N/NB_A)/NPCOL )*NB_A
N (global input) INTEGER
The number of rows and columns to be operated on i.e the
order of the distributed submatrix sub( A ). N >= 0.
A (local input) DOUBLE PRECISION pointer into the local memory to an
array of local dimension ( LLD_A, LOCc(JA+N-1) ), the
N-by-N symmetric positive definite distributed matrix
sub( A ) whose scaling factors are to be computed. Only the
diagonal elements of sub( A ) are referenced.
IA (global input) INTEGER
The row index in the global array A indicating the first
row of sub( A ).
JA (global input) INTEGER
The column index in the global array A indicating the
first column of sub( A ).
DESCA (global and local input) INTEGER array of dimension DLEN_.
The array descriptor for the distributed matrix A.
SR (local output) DOUBLE PRECISION array, dimension LOCr(M_A)
If INFO = 0, SR(IA:IA+N-1) contains the row scale factors
for sub( A ). SR is aligned with the distributed matrix A,
and replicated across every process column. SR is tied to the
distributed matrix A.
If INFO = 0, SC(JA:JA+N-1) contains the column scale factors
for A(IA:IA+M-1,JA:JA+N-1). SC is aligned with the distribu-
ted matrix A, and replicated down every process row. SC is
tied to the distributed matrix A.
SCOND (global output) DOUBLE PRECISION
If INFO = 0, SCOND contains the ratio of the smallest SR(i)
(or SC(j)) to the largest SR(i) (or SC(j)), with
IA <= i <= IA+N-1 and JA <= j <= JA+N-1. If SCOND >= 0.1
and AMAX is neither too large nor too small, it is not worth
scaling by SR (or SC).
AMAX (global output) DOUBLE PRECISION
Absolute value of largest matrix element. If AMAX is very
close to overflow or very close to underflow, the matrix
should be scaled.
INFO (global output) INTEGER
= 0: successful exit
< 0: If the i-th argument is an array and the j-entry 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.
> 0: If INFO = K, the K-th diagonal entry of sub( A ) is