PDLASWP(3)    ScaLAPACK routine of NEC Numeric Library Collection   PDLASWP(3)



NAME
       PDLASWP  -  perform  a series of row or column interchanges on the dis-
       tributed matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1)

SYNOPSIS
       SUBROUTINE PDLASWP( DIREC, ROWCOL, N, A, IA, JA, DESCA, K1, K2, IPIV )

           CHARACTER       DIREC, ROWCOL

           INTEGER         IA, JA, K1, K2, N

           INTEGER         DESCA( * ), IPIV( * )

           DOUBLE          PRECISION A( * )

PURPOSE
       PDLASWP performs a series of row or column  interchanges  on  the  dis-
       tributed  matrix  sub( A ) = A(IA:IA+M-1,JA:JA+N-1). One interchange is
       initiated for each of rows or columns K1 trough K2 of sub(  A  ).  This
       routine  assumes  that the pivoting information has already been broad-
       cast along the process row or column.
       Also note that this routine will only work for K1-K2 being in the  same
       MB (or NB) block.  If you want to pivot a full matrix, use PDLAPIV.


       Notes
       =====

       Each  global data object is described by an associated description vec-
       tor.  This vector stores the information required to establish the map-
       ping 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  col-
       umn.
       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
       DIREC   (global input) CHARACTER
               Specifies  in  which  order  the  permutation is applied: = 'F'
               (Forward) = 'B' (Backward)

       ROWCOL  (global input) CHARACTER
               Specifies if the rows or columns are permuted: = 'R'  (Rows)  =
               'C' (Columns)

       N       (global input) INTEGER
               If  ROWCOL  =  'R',  the  length of the rows of the distributed
               matrix A(*,JA:JA+N-1) to be permuted;  If  ROWCOL  =  'C',  the
               length  of the columns of the distributed matrix A(IA:IA+N-1,*)
               to be permuted.

       A       (local input/local output) DOUBLE PRECISION pointer into the
               local memory to an array of dimension (LLD_A, * ).   On  entry,
               this  array  contains  the  local  pieces  of the distri- buted
               matrix to which the row/columns interchanges will  be  applied.
               On exit the permuted distributed matrix.

       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.

       K1      (global input) INTEGER
               The  first  element  of  IPIV  for which a row or column inter-
               change will be done.

       K2      (global input) INTEGER
               The last element of IPIV for  which  a  row  or  column  inter-
               change will be done.

       IPIV    (local input) INTEGER array, dimension LOCr(M_A)+MB_A for
               row  pivoting  and  LOCc(N_A)+NB_A  for  column pivoting.  This
               array is tied to the matrix A, IPIV(K) =  L  implies  rows  (or
               columns) K and L are to be interchanged.



ScaLAPACK routine               31 October 2017                     PDLASWP(3)