ssytrd_sy2sb.f

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*> \brief \b SSYTRD_SY2SB
*
*  @generated from zhetrd_he2hb.f, fortran z -> s, Wed Dec  7 08:22:40 2016
*      
*  =========== DOCUMENTATION ===========
*
* Online html documentation available at 
*            http://www.netlib.org/lapack/explore-html/ 
*
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*> \endhtmlonly 
*
*  Definition:
*  ===========
*
*       SUBROUTINE SSYTRD_SY2SB( UPLO, N, KD, A, LDA, AB, LDAB, TAU, 
*                              WORK, LWORK, INFO )
*
*       IMPLICIT NONE
*
*       .. Scalar Arguments ..
*       CHARACTER          UPLO
*       INTEGER            INFO, LDA, LDAB, LWORK, N, KD
*       ..
*       .. Array Arguments ..
*       REAL               A( LDA, * ), AB( LDAB, * ), 
*                          TAU( * ), WORK( * )
*       ..
*  
*
*> \par Purpose:
*  =============
*>
*> \verbatim
*>
*> SSYTRD_SY2SB reduces a real symmetric matrix A to real symmetric
*> band-diagonal form AB by a orthogonal similarity transformation:
*> Q**T * A * Q = AB.
*> \endverbatim
*
*  Arguments:
*  ==========
*
*> \param[in] UPLO
*> \verbatim
*>          UPLO is CHARACTER*1
*>          = 'U':  Upper triangle of A is stored;
*>          = 'L':  Lower triangle of A is stored.
*> \endverbatim
*>
*> \param[in] N
*> \verbatim
*>          N is INTEGER
*>          The order of the matrix A.  N >= 0.
*> \endverbatim
*>
*> \param[in] KD
*> \verbatim
*>          KD is INTEGER
*>          The number of superdiagonals of the reduced matrix if UPLO = 'U',
*>          or the number of subdiagonals if UPLO = 'L'.  KD >= 0.
*>          The reduced matrix is stored in the array AB.
*> \endverbatim
*>
*> \param[in,out] A
*> \verbatim
*>          A is REAL array, dimension (LDA,N)
*>          On entry, the symmetric matrix A.  If UPLO = 'U', the leading
*>          N-by-N upper triangular part of A contains the upper
*>          triangular part of the matrix A, and the strictly lower
*>          triangular part of A is not referenced.  If UPLO = 'L', the
*>          leading N-by-N lower triangular part of A contains the lower
*>          triangular part of the matrix A, and the strictly upper
*>          triangular part of A is not referenced.
*>          On exit, if UPLO = 'U', the diagonal and first superdiagonal
*>          of A are overwritten 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 A are over-
*>          written 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.
*> \endverbatim
*>
*> \param[in] LDA
*> \verbatim
*>          LDA is INTEGER
*>          The leading dimension of the array A.  LDA >= max(1,N).
*> \endverbatim
*>
*> \param[out] AB
*> \verbatim
*>          AB is REAL array, dimension (LDAB,N)
*>          On exit, the upper or lower triangle of the symmetric band
*>          matrix A, stored in the first KD+1 rows of the array.  The
*>          j-th column of A is stored in the j-th column of the array AB
*>          as follows:
*>          if UPLO = 'U', AB(kd+1+i-j,j) = A(i,j) for max(1,j-kd)<=i<=j;
*>          if UPLO = 'L', AB(1+i-j,j)    = A(i,j) for j<=i<=min(n,j+kd).
*> \endverbatim
*>
*> \param[in] LDAB
*> \verbatim
*>          LDAB is INTEGER
*>          The leading dimension of the array AB.  LDAB >= KD+1.
*> \endverbatim
*>
*> \param[out] TAU
*> \verbatim
*>          TAU is REAL array, dimension (N-KD)
*>          The scalar factors of the elementary reflectors (see Further
*>          Details).
*> \endverbatim
*>
*> \param[out] WORK
*> \verbatim
*>          WORK is REAL array, dimension (LWORK)
*>          On exit, if INFO = 0, or if LWORK=-1, 
*>          WORK(1) returns the size of LWORK.
*> \endverbatim
*>
*> \param[in] LWORK
*> \verbatim
*>          LWORK is INTEGER
*>          The dimension of the array WORK which should be calculated
*>          by a workspace query. LWORK = MAX(1, LWORK_QUERY)
*>          If LWORK = -1, then a workspace query is assumed; the routine
*>          only calculates the optimal size of the WORK array, returns
*>          this value as the first entry of the WORK array, and no error
*>          message related to LWORK is issued by XERBLA.
*>          LWORK_QUERY = N*KD + N*max(KD,FACTOPTNB) + 2*KD*KD
*>          where FACTOPTNB is the blocking used by the QR or LQ
*>          algorithm, usually FACTOPTNB=128 is a good choice otherwise
*>          putting LWORK=-1 will provide the size of WORK.
*> \endverbatim
*>
*> \param[out] INFO
*> \verbatim
*>          INFO is INTEGER
*>          = 0:  successful exit
*>          < 0:  if INFO = -i, the i-th argument had an illegal value
*> \endverbatim
*
*  Authors:
*  ========
*
*> \author Univ. of Tennessee 
*> \author Univ. of California Berkeley 
*> \author Univ. of Colorado Denver 
*> \author NAG Ltd. 
*
*> \ingroup hetrd_he2hb
*
*> \par Further Details:
*  =====================
*>
*> \verbatim
*>
*>  Implemented by Azzam Haidar.
*>
*>  All details are available on technical report, SC11, SC13 papers.
*>
*>  Azzam Haidar, Hatem Ltaief, and Jack Dongarra.
*>  Parallel reduction to condensed forms for symmetric eigenvalue problems
*>  using aggregated fine-grained and memory-aware kernels. In Proceedings
*>  of 2011 International Conference for High Performance Computing,
*>  Networking, Storage and Analysis (SC '11), New York, NY, USA,
*>  Article 8 , 11 pages.
*>  http://doi.acm.org/10.1145/2063384.2063394
*>
*>  A. Haidar, J. Kurzak, P. Luszczek, 2013.
*>  An improved parallel singular value algorithm and its implementation 
*>  for multicore hardware, In Proceedings of 2013 International Conference
*>  for High Performance Computing, Networking, Storage and Analysis (SC '13).
*>  Denver, Colorado, USA, 2013.
*>  Article 90, 12 pages.
*>  http://doi.acm.org/10.1145/2503210.2503292
*>
*>  A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra.
*>  A novel hybrid CPU-GPU generalized eigensolver for electronic structure 
*>  calculations based on fine-grained memory aware tasks.
*>  International Journal of High Performance Computing Applications.
*>  Volume 28 Issue 2, Pages 196-209, May 2014.
*>  http://hpc.sagepub.com/content/28/2/196 
*>
*> \endverbatim
*>
*> \verbatim
*>
*>  If UPLO = 'U', the matrix Q is represented as a product of elementary
*>  reflectors
*>
*>     Q = H(k)**T . . . H(2)**T H(1)**T, where k = n-kd.
*>
*>  Each H(i) has the form
*>
*>     H(i) = I - tau * v * v**T
*>
*>  where tau is a real scalar, and v is a real vector with
*>  v(1:i+kd-1) = 0 and v(i+kd) = 1; conjg(v(i+kd+1:n)) is stored on exit in
*>  A(i,i+kd+1:n), and tau in TAU(i).
*>
*>  If UPLO = 'L', the matrix Q is represented as a product of elementary
*>  reflectors
*>
*>     Q = H(1) H(2) . . . H(k), where k = n-kd.
*>
*>  Each H(i) has the form
*>
*>     H(i) = I - tau * v * v**T
*>
*>  where tau is a real scalar, and v is a real vector with
*>  v(kd+1:i) = 0 and v(i+kd+1) = 1; v(i+kd+2:n) is stored on exit in
*>  A(i+kd+2:n,i), and tau in TAU(i).
*>
*>  The contents of A on exit are illustrated by the following examples
*>  with n = 5:
*>
*>  if UPLO = 'U':                       if UPLO = 'L':
*>
*>    (  ab  ab/v1  v1      v1     v1    )              (  ab                            )
*>    (      ab     ab/v2   v2     v2    )              (  ab/v1  ab                     )
*>    (             ab      ab/v3  v3    )              (  v1     ab/v2  ab              )
*>    (                     ab     ab/v4 )              (  v1     v2     ab/v3  ab       )
*>    (                            ab    )              (  v1     v2     v3     ab/v4 ab )
*>
*>  where d and e denote diagonal and off-diagonal elements of T, and vi
*>  denotes an element of the vector defining H(i).
*> \endverbatim
*>
*  =====================================================================
      SUBROUTINE ssytrd_sy2sb( UPLO, N, KD, A, LDA, AB, LDAB, TAU, 
     $                         WORK, LWORK, INFO )
*
      IMPLICIT NONE
*
*  -- LAPACK computational routine --
*  -- LAPACK is a software package provided by Univ. of Tennessee,    --
*  -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
*
*     .. Scalar Arguments ..
      CHARACTER          UPLO
      INTEGER            INFO, LDA, LDAB, LWORK, N, KD
*     ..
*     .. Array Arguments ..
      REAL               A( LDA, * ), AB( LDAB, * ), 
     $                   tau( * ), work( * )
*     ..
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               RONE
      REAL               ZERO, ONE, HALF
      parameter( rone = 1.0e+0,
     $                   zero = 0.0e+0,
     $                   one = 1.0e+0,
     $                   half = 0.5e+0 )
*     ..
*     .. Local Scalars ..
      LOGICAL            LQUERY, UPPER
      INTEGER            I, J, IINFO, LWMIN, PN, PK, LK,
     $                   ldt, ldw, lds2, lds1, 
     $                   ls2, ls1, lw, lt,
     $                   tpos, wpos, s2pos, s1pos
*     ..
*     .. External Subroutines ..
      EXTERNAL           xerbla, ssyr2k, ssymm, sgemm, scopy,
     $                   slarft, sgelqf, sgeqrf, slaset
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          min, max
*     ..
*     .. External Functions ..
      LOGICAL            LSAME
      INTEGER            ILAENV2STAGE 
      REAL               SROUNDUP_LWORK
      EXTERNAL           lsame, ilaenv2stage, sroundup_lwork
*     ..
*     .. Executable Statements ..
*
*     Determine the minimal workspace size required 
*     and test the input parameters
*
      info   = 0
      upper  = lsame( uplo, 'U' )
      lquery = ( lwork.EQ.-1 )
      lwmin  = ilaenv2stage( 4, 'SSYTRD_SY2SB', '', n, kd, -1, -1 )
      
      IF( .NOT.upper .AND. .NOT.lsame( uplo, 'L' ) ) THEN
         info = -1
      ELSE IF( n.LT.0 ) THEN
         info = -2
      ELSE IF( kd.LT.0 ) THEN
         info = -3
      ELSE IF( lda.LT.max( 1, n ) ) THEN
         info = -5
      ELSE IF( ldab.LT.max( 1, kd+1 ) ) THEN
         info = -7
      ELSE IF( lwork.LT.lwmin .AND. .NOT.lquery ) THEN
         info = -10
      END IF
*
      IF( info.NE.0 ) THEN
         CALL xerbla( 'SSYTRD_SY2SB', -info )
         RETURN
      ELSE IF( lquery ) THEN
         work( 1 ) = sroundup_lwork(lwmin)
         RETURN
      END IF
*
*     Quick return if possible        
*     Copy the upper/lower portion of A into AB 
*
      IF( n.LE.kd+1 ) THEN
          IF( upper ) THEN
              DO 100 i = 1, n
                  lk = min( kd+1, i )
                  CALL scopy( lk, a( i-lk+1, i ), 1, 
     $                            ab( kd+1-lk+1, i ), 1 )
  100         CONTINUE
          ELSE
              DO 110 i = 1, n
                  lk = min( kd+1, n-i+1 )
                  CALL scopy( lk, a( i, i ), 1, ab( 1, i ), 1 )
  110         CONTINUE
          ENDIF
          work( 1 ) = 1
          RETURN
      END IF
*
*     Determine the pointer position for the workspace
*      
      ldt    = kd
      lds1   = kd
      lt     = ldt*kd
      lw     = n*kd
      ls1    = lds1*kd
      ls2    = lwmin - lt - lw - ls1
*      LS2 = N*MAX(KD,FACTOPTNB) 
      tpos   = 1
      wpos   = tpos  + lt
      s1pos  = wpos  + lw
      s2pos  = s1pos + ls1 
      IF( upper ) THEN
          ldw    = kd
          lds2   = kd
      ELSE
          ldw    = n
          lds2   = n
      ENDIF
*
*
*     Set the workspace of the triangular matrix T to zero once such a
*     way every time T is generated the upper/lower portion will be always zero
*   
      CALL slaset( "A", ldt, kd, zero, zero, work( tpos ), ldt )
*
      IF( upper ) THEN
          DO 10 i = 1, n - kd, kd
             pn = n-i-kd+1
             pk = min( n-i-kd+1, kd )
*        
*            Compute the LQ factorization of the current block
*        
             CALL sgelqf( kd, pn, a( i, i+kd ), lda,
     $                    tau( i ), work( s2pos ), ls2, iinfo )
*        
*            Copy the upper portion of A into AB
*        
             DO 20 j = i, i+pk-1
                lk = min( kd, n-j ) + 1
                CALL scopy( lk, a( j, j ), lda, ab( kd+1, j ), ldab-1 )
   20        CONTINUE
*                
             CALL slaset( 'Lower', pk, pk, zero, one, 
     $                    a( i, i+kd ), lda )
*        
*            Form the matrix T
*        
             CALL slarft( 'Forward', 'Rowwise', pn, pk,
     $                    a( i, i+kd ), lda, tau( i ), 
     $                    work( tpos ), ldt )
*        
*            Compute W:
*             
             CALL sgemm( 'Conjugate', 'No transpose', pk, pn, pk,
     $                   one,  work( tpos ), ldt,
     $                         a( i, i+kd ), lda,
     $                   zero, work( s2pos ), lds2 )
*        
             CALL ssymm( 'Right', uplo, pk, pn,
     $                   one,  a( i+kd, i+kd ), lda,
     $                         work( s2pos ), lds2,
     $                   zero, work( wpos ), ldw )
*        
             CALL sgemm( 'No transpose', 'Conjugate', pk, pk, pn,
     $                   one,  work( wpos ), ldw,
     $                         work( s2pos ), lds2,
     $                   zero, work( s1pos ), lds1 )
*        
             CALL sgemm( 'No transpose', 'No transpose', pk, pn, pk,
     $                   -half, work( s1pos ), lds1, 
     $                          a( i, i+kd ), lda,
     $                   one,   work( wpos ), ldw )
*             
*        
*            Update the unreduced submatrix A(i+kd:n,i+kd:n), using
*            an update of the form:  A := A - V'*W - W'*V
*        
             CALL ssyr2k( uplo, 'Conjugate', pn, pk,
     $                    -one, a( i, i+kd ), lda,
     $                          work( wpos ), ldw,
     $                    rone, a( i+kd, i+kd ), lda )
   10     CONTINUE
*
*        Copy the upper band to AB which is the band storage matrix
*
         DO 30 j = n-kd+1, n
            lk = min(kd, n-j) + 1
            CALL scopy( lk, a( j, j ), lda, ab( kd+1, j ), ldab-1 )
   30    CONTINUE
*
      ELSE
*
*         Reduce the lower triangle of A to lower band matrix
*        
          DO 40 i = 1, n - kd, kd
             pn = n-i-kd+1
             pk = min( n-i-kd+1, kd )
*        
*            Compute the QR factorization of the current block
*        
             CALL sgeqrf( pn, kd, a( i+kd, i ), lda,
     $                    tau( i ), work( s2pos ), ls2, iinfo )
*        
*            Copy the upper portion of A into AB 
*        
             DO 50 j = i, i+pk-1
                lk = min( kd, n-j ) + 1
                CALL scopy( lk, a( j, j ), 1, ab( 1, j ), 1 )
   50        CONTINUE
*                
             CALL slaset( 'Upper', pk, pk, zero, one, 
     $                    a( i+kd, i ), lda )
*        
*            Form the matrix T
*        
             CALL slarft( 'Forward', 'Columnwise', pn, pk,
     $                    a( i+kd, i ), lda, tau( i ), 
     $                    work( tpos ), ldt )
*        
*            Compute W:
*             
             CALL sgemm( 'No transpose', 'No transpose', pn, pk, pk,
     $                   one, a( i+kd, i ), lda,
     $                         work( tpos ), ldt,
     $                   zero, work( s2pos ), lds2 )
*        
             CALL ssymm( 'Left', uplo, pn, pk,
     $                   one, a( i+kd, i+kd ), lda,
     $                         work( s2pos ), lds2,
     $                   zero, work( wpos ), ldw )
*        
             CALL sgemm( 'Conjugate', 'No transpose', pk, pk, pn,
     $                   one, work( s2pos ), lds2,
     $                         work( wpos ), ldw,
     $                   zero, work( s1pos ), lds1 )
*        
             CALL sgemm( 'No transpose', 'No transpose', pn, pk, pk,
     $                   -half, a( i+kd, i ), lda,
     $                         work( s1pos ), lds1,
     $                   one, work( wpos ), ldw )
*             
*        
*            Update the unreduced submatrix A(i+kd:n,i+kd:n), using
*            an update of the form:  A := A - V*W' - W*V'
*        
             CALL ssyr2k( uplo, 'No transpose', pn, pk,
     $                    -one, a( i+kd, i ), lda,
     $                           work( wpos ), ldw,
     $                    rone, a( i+kd, i+kd ), lda )
*            ==================================================================
*            RESTORE A FOR COMPARISON AND CHECKING TO BE REMOVED
*             DO 45 J = I, I+PK-1
*                LK = MIN( KD, N-J ) + 1
*                CALL SCOPY( LK, AB( 1, J ), 1, A( J, J ), 1 )
*   45        CONTINUE
*            ==================================================================
   40     CONTINUE
*
*        Copy the lower band to AB which is the band storage matrix
*
         DO 60 j = n-kd+1, n
            lk = min(kd, n-j) + 1
            CALL scopy( lk, a( j, j ), 1, ab( 1, j ), 1 )
   60    CONTINUE
 
      END IF
*
      work( 1 ) = sroundup_lwork(lwmin)
      RETURN
*
*     End of SSYTRD_SY2SB
*
      END