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



NAME
       PSSYNTRD  - reduce a real symmetric matrix sub( A ) to symmetric tridi-
       agonal form T by an orthogonal similarity transformation

SYNOPSIS
       SUBROUTINE PSSYNTRD(
                           UPLO, N, A, IA, JA, DESCA, D, E, TAU, WORK,  LWORK,
                           INFO )

           CHARACTER       UPLO

           INTEGER         IA, INFO, JA, LWORK, N

           INTEGER         DESCA( * )

           REAL            A( * ), D( * ), E( * ), TAU( * ), WORK( * )

PURPOSE
       PSSYNTRD  is  a  prototype version of PSSYTRD which uses tailored codes
       (either the serial, DSYTRD, or the parallel code,  PSSYTTRD)  when  the
       workspace provided by the user is adequate.

       PSSYNTRD reduces a real symmetric matrix sub( A ) to symmetric tridiag-
       onal form T by an orthogonal similarity transformation: Q' * sub( A ) *
       Q = T, where sub( A ) = A(IA:IA+N-1,JA:JA+N-1).

       Features
       ========
       PSSYNTRD  is  faster  than PSSYTRD on almost all matrices, particularly
       small ones (i.e. N < 500 * sqrt(P) ), provided that enough workspace is
       available to use the tailored codes.

       The  tailored codes provide performance that is essentially independent
       of the input data layout.

       The tailored codes place no restrictions on  IA,  JA,  MB  or  NB.   At
       present,  IA,  JA,  MB and NB are restricted to those values allowed by
       PSSYTRD to keep the interface simple.   These  restrictions  are  docu-
       mented below.  (Search for "restrictions".)

       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
       UPLO    (global input) CHARACTER
               Specifies  whether  the  upper  or lower triangular part of the
               symmetric matrix sub( A ) is stored:
               = 'U':  Upper triangular
               = 'L':  Lower triangular

       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/local output) REAL pointer into the
               local memory to an array of dimension (LLD_A,LOCc(JA+N-1)).  On
               entry, this array contains the local pieces  of  the  symmetric
               distributed matrix sub( A ).  If UPLO = 'U', the leading N-by-N
               upper triangular part of sub( A ) contains the upper triangular
               part  of  the matrix, and its strictly lower triangular part is
               not referenced. If UPLO = 'L', the leading N-by-N lower  trian-
               gular  part  of  sub( A ) contains the lower triangular part of
               the matrix, and its strictly upper triangular part is not  ref-
               erenced.  On exit, if UPLO = 'U', the diagonal and first super-
               diagonal of sub( A ) are over-  written  by  the  corresponding
               elements  of  the  tridiagonal matrix T, and the elements above
               the first superdiagonal, with  the  array  TAU,  represent  the
               orthogonal  matrix  Q as a product of elementary reflectors; if
               UPLO = 'L', the diagonal and first subdiagonal of sub( A )  are
               overwritten  by  the  corresponding elements of the tridiagonal
               matrix T, and the elements below the  first  subdiagonal,  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.

       D       (local output) REAL array, dimension LOCc(JA+N-1)
               The diagonal elements of  the  tridiagonal  matrix  T:  D(i)  =
               A(i,i). D is tied to the distributed matrix A.

       E       (local output) REAL array, dimension LOCc(JA+N-1)
               if  UPLO  =  'U', LOCc(JA+N-2) otherwise. The off-diagonal ele-
               ments of the tridiagonal matrix T: E(i) = A(i,i+1)  if  UPLO  =
               'U',  E(i)  =  A(i+1,i)  if  UPLO  = 'L'. E is tied to the dis-
               tributed matrix A.

       TAU     (local output) REAL array, dimension
               LOCc(JA+N-1). This array contains the scalar factors TAU of the
               elementary reflectors. TAU is tied to the distributed matrix A.

       WORK    (local workspace/local output) REAL 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 >= MAX( NB * ( NP +1 ), 3 * NB )

               For optimal performance, greater workspace is needed, i.e.
                 LWORK >= 2*( ANB+1 )*( 4*NPS+2 ) + ( NPS + 4 ) * NPS
                 ICTXT = DESCA( CTXT_ )
                 ANB = PJLAENV( ICTXT, 3, 'PSSYTTRD', 'L', 0, 0, 0, 0 )
                 SQNPC = INT( SQRT( DBLE( NPROW * NPCOL ) ) )
                 NPS = MAX( NUMROC( N, 1, 0, 0, SQNPC ), 2*ANB )

                 NUMROC is a ScaLAPACK tool functions;
                 PJLAENV is a ScaLAPACK envionmental inquiry function
                 MYROW, MYCOL, NPROW and NPCOL can be determined by calling
                 the subroutine BLACS_GRIDINFO.

       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.

FURTHER DETAILS
       If UPLO = 'U', the matrix Q is represented as a product  of  elementary
       reflectors

          Q = H(n-1) . . . H(2) H(1).

       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(i+1:n) = 0 and v(i) = 1; v(1:i-1) is stored on exit in
       A(ia:ia+i-2,ja+i), and tau in TAU(ja+i-1).

       If  UPLO  = 'L', the matrix Q is represented as a product of elementary
       reflectors

          Q = H(1) H(2) . . . H(n-1).

       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(1:i) = 0 and v(i+1) = 1; v(i+2:n) is stored on exit in
       A(ia+i+1:ia+n-1,ja+i-1), and tau in TAU(ja+i-1).

       The contents of sub( A ) on exit are illustrated by the following exam-
       ples with n = 5:

       if UPLO = 'U':                       if UPLO = 'L':

         (  d   e   v2  v3  v4 )              (  d                  )
         (      d   e   v3  v4 )              (  e   d              )
         (          d   e   v4 )              (  v1  e   d          )
         (              d   e  )              (  v1  v2  e   d      )
         (                  d  )              (  v1  v2  v3  e   d  )

       where  d  and  e denote diagonal and off-diagonal elements of T, and vi
       denotes an element of the vector defining H(i).


ALIGNMENT REQUIREMENTS
       The distributed submatrix sub( A ) must verify some  alignment  proper-
       ties, namely the following expression should be true:
       ( MB_A.EQ.NB_A .AND. IROFFA.EQ.ICOFFA .AND. IROFFA.EQ.0 ) with IROFFA =
       MOD( IA-1, MB_A ) and ICOFFA = MOD( JA-1, NB_A ).




ScaLAPACK routine               31 October 2017                    PSSYNTRD(3)