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PSLACP3(l) LAPACK routine (version 1.5) PSLACP3(l)

NAME

PSLACP3 - i an auxiliary routine that copies from a global parallel array into a local replicated array or vise versa

SYNOPSIS

M, I, A, DESCA, B, LDB, II, JJ, REV )

INTEGER I, II, JJ, LDB, M, REV INTEGER DESCA( * ) REAL A( * ), B( LDB, * )

PURPOSE

PSLACP3 is an auxiliary routine that copies from a global parallel
array into a local replicated array or vise versa. Notice that
the entire submatrix that is copied gets placed on one node or
more. The receiving node can be specified precisely, or all nodes
can receive, or just one row or column of nodes.

Notes
=====

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
array A.
N_A (global) DESCA( N_ ) The number of columns in the global
array A.
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
distributed.
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 process column.
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

ARGUMENTS

M is the order of the square submatrix that is copied. M >= 0. Unchanged on exit
A(I,I) is the global location that the copying starts from. Unchanged on exit.
(DESCA(LLD_),*) On entry, the parallel matrix to be copied into or from. On exit, if REV=1, the copied data. Unchanged on exit if REV=0.
The array descriptor for the distributed matrix A.
If REV=0, this is the global portion of the array A(I:I+M-1,I:I+M-1). If REV=1, this is the unchanged on exit.
The leading dimension of B.
By using REV 0 & 1, data can be sent out and returned again. If REV=0, then II is destination row index for the node(s) receiving the replicated B. If II>=0,JJ>=0, then node (II,JJ) receives the data If II=-1,JJ>=0, then all rows in column JJ receive the data If II>=0,JJ=-1, then all cols in row II receive the data If II=-1,JJ=-1, then all nodes receive the data If REV<>0, then II is the source row index for the node(s) sending the replicated B.
Similar description as II above
Use REV = 0 to send global A into locally replicated B (on node (II,JJ)). Use REV <> 0 to send locally replicated B from node (II,JJ) to its owner (which changes depending on its location in A) into the global A.

Implemented by: G. Henry, May 1, 1997

12 May 1997 LAPACK version 1.5