pdgeql2()

subroutine pdgeql2	(	integer	m,
		integer	n,
		double precision, dimension( * )	a,
		integer	ia,
		integer	ja,
		integer, dimension( * )	desca,
		double precision, dimension( * )	tau,
		double precision, dimension( * )	work,
		integer	lwork,
		integer	info
	)

Definition at line 1 of file pdgeql2.f.

*
*  -- ScaLAPACK routine (version 1.7) --
*     University of Tennessee, Knoxville, Oak Ridge National Laboratory,
*     and University of California, Berkeley.
*     May 25, 2001
*
*     .. Scalar Arguments ..
      INTEGER            IA, INFO, JA, LWORK, M, N
*     ..
*     .. Array Arguments ..
      INTEGER            DESCA( * )
      DOUBLE PRECISION   A( * ), TAU( * ), WORK( * )
*     ..
*
*  Purpose
*  =======
*
*  PDGEQL2 computes a QL factorization of a real distributed M-by-N
*  matrix sub( A ) = A(IA:IA+M-1,JA:JA+N-1) = Q * L.
*
*  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       (global input) INTEGER
*          The number of rows to be operated on, i.e. the number of rows
*          of the distributed submatrix sub( A ). M >= 0.
*
*  N       (global input) INTEGER
*          The number of columns to be operated on, i.e. the number of
*          columns of the distributed submatrix sub( A ). N >= 0.
*
*  A       (local input/local output) DOUBLE PRECISION pointer into the
*          local memory to an array of dimension (LLD_A, LOCc(JA+N-1)).
*          On entry, the local pieces of the M-by-N distributed matrix
*          sub( A ) which is to be factored. On exit, if M >= N, the
*          lower triangle of the distributed submatrix
*          A( IA+M-N:IA+M-1, JA:JA+N-1 ) contains the N-by-N lower
*          triangular matrix L; if M <= N, the elements on and below
*          the (N-M)-th superdiagonal contain the M by N lower
*          trapezoidal matrix L; the remaining elements, with the
*          array TAU, represent the orthogonal matrix Q as a product of
*          elementary reflectors (see Further Details).
*
*  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.
*
*  TAU     (local output) DOUBLE PRECISION array, dimension LOCc(JA+N-1)
*          This array contains the scalar factors of the elementary
*          reflectors. TAU is tied to the distributed matrix A.
*
*  WORK    (local workspace/local output) DOUBLE PRECISION array,
*                                                   dimension (LWORK)
*          On exit, WORK(1) returns the minimal and optimal LWORK.
*
*  LWORK   (local or global input) INTEGER
*          The dimension of the array WORK.
*          LWORK is local input and must be at least
*          LWORK >= Mp0 + MAX( 1, Nq0 ), 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 ),
*          Mp0   = NUMROC( M+IROFF, MB_A, MYROW, IAROW, NPROW ),
*          Nq0   = NUMROC( N+ICOFF, NB_A, MYCOL, IACOL, NPCOL ),
*
*          and NUMROC, INDXG2P are ScaLAPACK tool functions;
*          MYROW, MYCOL, NPROW and NPCOL can be determined by calling
*          the subroutine BLACS_GRIDINFO.
*
*          If LWORK = -1, then LWORK is global input and a workspace
*          query is assumed; the routine 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.
*
*  INFO    (local 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.
*
*  Further Details
*  ===============
*
*  The matrix Q is represented as a product of elementary reflectors
*
*     Q = H(ja+k-1) . . . H(ja+1) H(ja), where k = min(m,n).
*
*  Each H(i) has the form
*
*     H(i) = I - tau * v * v'
*
*  where tau is a real scalar, and v is a real vector with
*  v(m-k+i+1:m) = 0 and v(m-k+i) = 1; v(1:m-k+i-1) is stored on exit in
*  A(ia:ia+m-k+i-2,ja+n-k+i-1), and tau in TAU(ja+n-k+i-1).
*
*  =====================================================================
*
*     .. Parameters ..
      INTEGER            BLOCK_CYCLIC_2D, CSRC_, CTXT_, DLEN_, DTYPE_,
     $                   LLD_, MB_, M_, NB_, N_, RSRC_
      parameter( block_cyclic_2d = 1, dlen_ = 9, dtype_ = 1,
     $                     ctxt_ = 2, m_ = 3, n_ = 4, mb_ = 5, nb_ = 6,
     $                     rsrc_ = 7, csrc_ = 8, lld_ = 9 )
      DOUBLE PRECISION   ONE
      parameter( one = 1.0d+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            LQUERY
      CHARACTER          COLBTOP, ROWBTOP
      INTEGER            I, IACOL, IAROW, ICTXT, II, J, JJ, K, LWMIN,
     $                   MP, MYCOL, MYROW, NPCOL, NPROW, NQ
      DOUBLE PRECISION   AJJ, ALPHA
*     ..
*     .. External Subroutines ..
      EXTERNAL           blacs_abort, blacs_gridinfo, chk1mat, dgebr2d,
     $                   dgebs2d, dlarfg, dscal, infog2l,
     $                   pdelset, pdlarf, pdlarfg, pb_topget,
     $                   pb_topset, pxerbla
*     ..
*     .. External Functions ..
      INTEGER            INDXG2P, NUMROC
      EXTERNAL           indxg2p, numroc
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          dble, max, min, mod
*     ..
*     .. Executable Statements ..
*
*     Get grid parameters
*
      ictxt = desca( ctxt_ )
      CALL blacs_gridinfo( ictxt, nprow, npcol, myrow, mycol )
*
*     Test the input parameters
*
      info = 0
      IF( nprow.EQ.-1 ) THEN
         info = -(600+ctxt_)
      ELSE
         CALL chk1mat( m, 1, n, 2, ia, ja, desca, 6, info )
         IF( info.EQ.0 ) THEN
            iarow = indxg2p( ia, desca( mb_ ), myrow, desca( rsrc_ ),
     $                       nprow )
            iacol = indxg2p( ja, desca( nb_ ), mycol, desca( csrc_ ),
     $                       npcol )
            mp = numroc( m+mod( ia-1, desca( mb_ ) ), desca( mb_ ),
     $                   myrow, iarow, nprow )
            nq = numroc( n+mod( ja-1, desca( nb_ ) ), desca( nb_ ),
     $                   mycol, iacol, npcol )
            lwmin = mp + max( 1, nq )
*
            work( 1 ) = dble( lwmin )
            lquery = ( lwork.EQ.-1 )
            IF( lwork.LT.lwmin .AND. .NOT.lquery )
     $         info = -9
         END IF
      END IF
*
      IF( info.NE.0 ) THEN
         CALL pxerbla( ictxt, 'PDGEQL2', -info )
         CALL blacs_abort( ictxt, 1 )
         RETURN
      ELSE IF( lquery ) THEN
         RETURN
      END IF
*
*     Quick return if possible
*
      IF( m.EQ.0 .OR. n.EQ.0 )
     $   RETURN
*
      CALL pb_topget( ictxt, 'Broadcast', 'Rowwise', rowbtop )
      CALL pb_topget( ictxt, 'Broadcast', 'Columnwise', colbtop )
      CALL pb_topset( ictxt, 'Broadcast', 'Rowwise', 'D-ring' )
      CALL pb_topset( ictxt, 'Broadcast', 'Columnwise', ' ' )
*
      IF( desca( m_ ).EQ.1 ) THEN
         IF( mycol.EQ.iacol )
     $      nq = nq - mod( ja-1, desca( nb_ ) )
         CALL infog2l( ia, ja, desca, nprow, npcol, myrow, mycol, ii,
     $                 jj, iarow, iacol )
         iacol = indxg2p( ja+n-1, desca( nb_ ), mycol, desca( csrc_ ),
     $                    npcol )
         IF( myrow.EQ.iarow ) THEN
            IF( mycol.EQ.iacol ) THEN
               i = ii+(jj+nq-2)*desca( lld_ )
               ajj = a( i )
               CALL dlarfg( 1, ajj, a( i ), 1, tau( jj+nq-1 ) )
               IF( n.GT.1 ) THEN
                  alpha = one - tau( jj+nq-1 )
                  CALL dgebs2d( ictxt, 'Rowwise', ' ', 1, 1, alpha, 1 )
                  CALL dscal( nq-1, alpha, a( ii+(jj-1)*desca( lld_ ) ),
     $                        desca( lld_ ) )
               END IF
               CALL dgebs2d( ictxt, 'Columnwise', ' ', 1, 1,
     $                       tau( jj+nq-1 ), 1 )
               a( i ) = ajj
            ELSE
               IF( n.GT.1 ) THEN
                  CALL dgebr2d( ictxt, 'Rowwise', ' ', 1, 1, alpha,
     $                          1, iarow, iacol )
                  CALL dscal( nq, alpha, a( ii+(jj-1)*desca( lld_ ) ),
     $                        desca( lld_ ) )
               END IF
            END IF
         ELSE IF( mycol.EQ.iacol ) THEN
            CALL dgebr2d( ictxt, 'Columnwise', ' ', 1, 1,
     $                         tau( jj+nq-1 ), 1, iarow, iacol )
         END IF
*
      ELSE
*
         k = min( m, n )
         DO 10 j = ja+k-1, ja, -1
            i = ia + j - ja
*
*           Generate elementary reflector H(j) to annihilate
*           A(ia:i+m-k-1,j+n-k)
*
            CALL pdlarfg( m-k+i-ia+1, ajj, m-k+i, n-k+j, a, ia,
     $                    n-k+j, desca, 1, tau )
*
*           Apply H(j) to A(ia:i+m-k,ja:j+n-k-1) from the left
*
            CALL pdelset( a, i+m-k, j+n-k, desca, one )
            CALL pdlarf( 'Left', m-k+i-ia+1, n-k+j-ja, a, ia, n-k+j,
     $                   desca, 1, tau, a, ia, ja, desca, work )
            CALL pdelset( a, i+m-k, j+n-k, desca, ajj )
*
   10    CONTINUE
*
      END IF
*
      CALL pb_topset( ictxt, 'Broadcast', 'Rowwise', rowbtop )
      CALL pb_topset( ictxt, 'Broadcast', 'Columnwise', colbtop )
*
      work( 1 ) = dble( lwmin )
*
      RETURN
*
*     End of PDGEQL2
*

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