mirror of https://gitlab.com/QEF/q-e.git
625 lines
17 KiB
Fortran
625 lines
17 KiB
Fortran
!
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! Copyright (C) 2001-2006 Quantum ESPRESSO group
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! This file is distributed under the terms of the
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! GNU General Public License. See the file `License'
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! in the root directory of the present distribution,
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! or http://www.gnu.org/copyleft/gpl.txt .
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!
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!
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#define ZERO ( 0.D0, 0.D0 )
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#define ONE ( 1.D0, 0.D0 )
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!
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!----------------------------------------------------------------------------
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SUBROUTINE cdiaghg( n, m, h, s, ldh, e, v )
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!----------------------------------------------------------------------------
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!
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! ... calculates eigenvalues and eigenvectors of the generalized problem
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! ... Hv=eSv, with H hermitean matrix, S overlap matrix.
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! ... On output both matrix are unchanged
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!
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! ... LAPACK version - uses both ZHEGV and ZHEGVX
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!
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USE kinds, ONLY : DP
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USE mp, ONLY : mp_bcast, mp_sum, mp_barrier, mp_max
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USE mp_global, ONLY : me_pool, root_pool, intra_pool_comm
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#if defined (EXX)
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USE mp_global, ONLY : inter_image_comm, my_image_id
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#endif
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!
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IMPLICIT NONE
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!
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INTEGER, INTENT(IN) :: n, m, ldh
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! dimension of the matrix to be diagonalized
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! number of eigenstates to be calculate
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! leading dimension of h, as declared in the calling pgm unit
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COMPLEX(DP), INTENT(INOUT) :: h(ldh,n), s(ldh,n)
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! actually intent(in) but compilers don't know and complain
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! matrix to be diagonalized
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! overlap matrix
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REAL(DP), INTENT(OUT) :: e(n)
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! eigenvalues
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COMPLEX(DP), INTENT(OUT) :: v(ldh,m)
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! eigenvectors (column-wise)
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!
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INTEGER :: lwork, nb, mm, info, i, j, k
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! mm = number of calculated eigenvectors
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REAL(DP) :: abstol
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INTEGER, ALLOCATABLE :: iwork(:), ifail(:)
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REAL(DP), ALLOCATABLE :: rwork(:), sdiag(:), hdiag(:)
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COMPLEX(DP), ALLOCATABLE :: work(:)
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! various work space
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LOGICAL :: all_eigenvalues
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! REAL(DP), EXTERNAL :: DLAMCH
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INTEGER, EXTERNAL :: ILAENV
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! ILAENV returns optimal block size "nb"
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!
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!
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CALL start_clock( 'cdiaghg' )
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!
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! ... only the first processor diagonalizes the matrix
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!
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#if defined (EXX)
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IF ( me_pool == root_pool .and. my_image_id == 0 ) THEN
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#else
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IF ( me_pool == root_pool ) THEN
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#endif
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!
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! ... save the diagonal of input S (it will be overwritten)
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!
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ALLOCATE( sdiag( n ) )
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DO i = 1, n
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sdiag(i) = DBLE( s(i,i) )
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END DO
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!
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all_eigenvalues = ( m == n )
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!
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! ... check for optimal block size
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!
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nb = ILAENV( 1, 'ZHETRD', 'U', n, -1, -1, -1 )
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!
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IF ( nb < 1 ) nb = MAX( 1, n )
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!
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IF ( nb == 1 .OR. nb >= n ) THEN
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!
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lwork = 2*n
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!
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ELSE
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!
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lwork = ( nb + 1 )*n
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!
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END IF
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!
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ALLOCATE( work( lwork ) )
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!
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IF ( all_eigenvalues ) THEN
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!
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ALLOCATE( rwork( 3*n - 2 ) )
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!
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! ... calculate all eigenvalues (overwritten to v)
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!
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v(:,:) = h(:,:)
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!
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!lwork = -1
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!
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! CALL ZHEGV( 1, 'V', 'U', n, v, ldh, &
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! s, ldh, e, work, lwork, rwork, info )
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! !
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! lwork = INT( work(1) ) + 1
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! !
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! IF( lwork > SIZE( work ) ) THEN
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! DEALLOCATE( work )
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! ALLOCATE( work( lwork ) )
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! END IF
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CALL ZHEGV( 1, 'V', 'U', n, v, ldh, &
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s, ldh, e, work, lwork, rwork, info )
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!
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ELSE
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!
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ALLOCATE( rwork( 7*n ) )
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!
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! ... save the diagonal of input H (it will be overwritten)
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!
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ALLOCATE( hdiag( n ) )
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DO i = 1, n
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hdiag(i) = DBLE( h(i,i) )
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END DO
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!
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ALLOCATE( iwork( 5*n ) )
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ALLOCATE( ifail( n ) )
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!
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! ... calculate only m lowest eigenvalues
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!
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abstol = 0.D0
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! abstol = 2.D0*DLAMCH( 'S' )
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!
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lwork = -1
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!
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CALL ZHEGVX( 1, 'V', 'I', 'U', n, h, ldh, s, ldh, &
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0.D0, 0.D0, 1, m, abstol, mm, e, v, ldh, &
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work, lwork, rwork, iwork, ifail, info )
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!
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lwork = INT( work(1) ) + 1
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!
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IF( lwork > SIZE( work ) ) THEN
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DEALLOCATE( work )
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ALLOCATE( work( lwork ) )
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END IF
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CALL ZHEGVX( 1, 'V', 'I', 'U', n, h, ldh, s, ldh, &
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0.D0, 0.D0, 1, m, abstol, mm, e, v, ldh, &
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work, lwork, rwork, iwork, ifail, info )
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!
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DEALLOCATE( ifail )
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DEALLOCATE( iwork )
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!
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! ... restore input H matrix from saved diagonal and lower triangle
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!
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DO i = 1, n
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h(i,i) = CMPLX( hdiag(i), 0.0_DP ,kind=DP)
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DO j = i + 1, n
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h(i,j) = CONJG( h(j,i) )
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END DO
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DO j = n + 1, ldh
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h(j,i) = ( 0.0_DP, 0.0_DP )
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END DO
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END DO
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!
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DEALLOCATE( hdiag )
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!
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END IF
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!
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!
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DEALLOCATE( rwork )
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DEALLOCATE( work )
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!
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CALL errore( 'cdiaghg', 'diagonalization (ZHEGV*) failed', ABS( info ) )
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!
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! ... restore input S matrix from saved diagonal and lower triangle
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!
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DO i = 1, n
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s(i,i) = CMPLX( sdiag(i), 0.0_DP ,kind=DP)
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DO j = i + 1, n
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s(i,j) = CONJG( s(j,i) )
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END DO
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DO j = n + 1, ldh
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s(j,i) = ( 0.0_DP, 0.0_DP )
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END DO
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END DO
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!
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DEALLOCATE( sdiag )
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!
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END IF
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!
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! ... broadcast eigenvectors and eigenvalues to all other processors
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!
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CALL mp_bcast( e, root_pool, intra_pool_comm )
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CALL mp_bcast( v, root_pool, intra_pool_comm )
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!
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#if defined (EXX)
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CALL mp_bcast( e, 0, inter_image_comm )
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CALL mp_bcast( v, 0, inter_image_comm )
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#endif
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!
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CALL stop_clock( 'cdiaghg' )
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!
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RETURN
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!
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END SUBROUTINE cdiaghg
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!
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!----------------------------------------------------------------------------
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SUBROUTINE pcdiaghg( n, h, s, ldh, e, v, desc )
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!----------------------------------------------------------------------------
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!
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! ... calculates eigenvalues and eigenvectors of the generalized problem
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! ... Hv=eSv, with H hermitean matrix, S overlap matrix.
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! ... On output both matrix are unchanged
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!
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! ... Parallel version, with full data distribution
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!
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USE kinds, ONLY : DP
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USE mp, ONLY : mp_bcast
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USE mp_global, ONLY : root_pool, intra_pool_comm
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USE zhpev_module, ONLY : pzhpev_drv, zhpev_drv
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USE descriptors, ONLY : descla_siz_ , lambda_node_ , nlax_ , la_nrl_ , la_nrlx_ , &
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la_npc_ , la_npr_ , la_me_ , la_comm_ , la_myc_ , la_myr_ , &
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nlar_ , nlac_ , ilar_ , ilac_
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USE parallel_toolkit, ONLY : zsqmdst, zsqmcll
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#if defined __SCALAPACK
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USE mp_global, ONLY : ortho_cntx, me_blacs, np_ortho, me_ortho
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USE zhpev_module, ONLY : pzheevd_drv
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#endif
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!
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IMPLICIT NONE
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!
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INTEGER, INTENT(IN) :: n, ldh
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! dimension of the matrix to be diagonalized
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! leading dimension of h, as declared in the calling pgm unit
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COMPLEX(DP), INTENT(INOUT) :: h(ldh,ldh), s(ldh,ldh)
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! actually intent(in) but compilers don't know and complain
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! matrix to be diagonalized
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! overlap matrix
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REAL(DP), INTENT(OUT) :: e(n)
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! eigenvalues
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COMPLEX(DP), INTENT(OUT) :: v(ldh,ldh)
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! eigenvectors (column-wise)
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INTEGER, INTENT(IN) :: desc( descla_siz_ )
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!
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INTEGER :: nx
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#if defined __SCALAPACK
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INTEGER :: descsca( 16 ), info
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#endif
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! local block size
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COMPLEX(DP), ALLOCATABLE :: ss(:,:), hh(:,:), tt(:,:)
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! work space used only in parallel diagonalization
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!
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! ... input s and h are copied so that they are not destroyed
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!
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CALL start_clock( 'cdiaghg' )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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nx = desc( nlax_ )
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!
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IF( nx /= ldh ) &
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CALL errore(" pcdiaghg ", " inconsistent leading dimension ", ldh )
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!
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ALLOCATE( hh( nx, nx ) )
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ALLOCATE( ss( nx, nx ) )
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!
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hh(1:nx,1:nx) = h(1:nx,1:nx)
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ss(1:nx,1:nx) = s(1:nx,1:nx)
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!
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END IF
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CALL start_clock( 'cdiaghg:choldc' )
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!
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! ... Cholesky decomposition of sl ( L is stored in sl )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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#if defined __SCALAPACK
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CALL descinit( descsca, n, n, desc( nlax_ ), desc( nlax_ ), 0, 0, ortho_cntx, SIZE( ss, 1 ) , info )
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!
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IF( info /= 0 ) CALL errore( ' cdiaghg ', ' desckinit ', ABS( info ) )
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#endif
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!
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#if defined __SCALAPACK
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CALL pzpotrf( 'L', n, ss, 1, 1, descsca, info )
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IF( info /= 0 ) CALL errore( ' cdiaghg ', ' problems computing cholesky ', ABS( info ) )
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#else
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CALL qe_pzpotrf( ss, nx, n, desc )
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#endif
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:choldc' )
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!
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! ... L is inverted ( sl = L^-1 )
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!
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CALL start_clock( 'cdiaghg:inversion' )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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#if defined __SCALAPACK
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!CALL clear_upper_tr( ss )
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! set to zero the upper triangle of ss
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!
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CALL sqr_zsetmat( 'U', n, ZERO, ss, size(ss,1), desc )
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!
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CALL pztrtri( 'L', 'N', n, ss, 1, 1, descsca, info )
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!
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IF( info /= 0 ) CALL errore( ' cdiaghg ', ' problems computing inverse ', ABS( info ) )
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#else
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CALL qe_pztrtri( ss, nx, n, desc )
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#endif
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:inversion' )
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!
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! ... vl = L^-1*H
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!
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CALL start_clock( 'cdiaghg:paragemm' )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'N', 'N', n, ONE, ss, nx, hh, nx, ZERO, v, nx, desc )
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!
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END IF
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!
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! ... hl = ( L^-1*H )*(L^-1)^T
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'N', 'C', n, ONE, v, nx, ss, nx, ZERO, hh, nx, desc )
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!
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! ensure that "hh" is really Hermitian, it is sufficient to set the diagonal
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! properly, because only the lower triangle of hh will be used
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!
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CALL sqr_zsetmat( 'H', n, ZERO, hh, size(hh,1), desc )
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:paragemm' )
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!
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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!
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#ifdef TEST_DIAG
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CALL test_drv_begin()
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#endif
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#ifdef __SCALAPACK
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!
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CALL pzheevd_drv( .true., n, desc( nlax_ ), hh, e, ortho_cntx )
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!
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#else
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!
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CALL qe_pzheevd( .true., n, desc, hh, SIZE( hh, 1 ), e )
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!
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#endif
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!
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#ifdef TEST_DIAG
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CALL test_drv_end()
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#endif
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!
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END IF
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!
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! ... v = (L^T)^-1 v
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!
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CALL start_clock( 'cdiaghg:paragemm' )
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'C', 'N', n, ONE, ss, nx, hh, nx, ZERO, v, nx, desc )
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!
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END IF
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!
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CALL mp_bcast( e, root_pool, intra_pool_comm )
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!
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CALL stop_clock( 'cdiaghg:paragemm' )
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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DEALLOCATE( ss, hh )
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END IF
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!
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CALL stop_clock( 'cdiaghg' )
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!
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RETURN
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!
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CONTAINS
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!
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SUBROUTINE test_drv_begin()
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ALLOCATE( tt( n, n ) )
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CALL zsqmcll( n, hh, nx, tt, n, desc, desc( la_comm_ ) )
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RETURN
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END SUBROUTINE test_drv_begin
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!
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SUBROUTINE test_drv_end()
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!
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INTEGER :: i, j, k
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COMPLEX(DP), ALLOCATABLE :: diag(:,:)
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!
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IF( desc( la_myc_ ) == 0 .AND. desc( la_myr_ ) == 0 ) THEN
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write( 100, fmt="(A20,2D18.10)" ) ' e code = ', e( 1 ), e( n )
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ALLOCATE( diag( n*(n+1)/2, 1 ) )
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k = 1
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! write( 100, fmt="(I5)" ) n
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DO j = 1, n
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DO i = j, n
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diag( k, 1 ) = tt( i, j )
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! write( 100, fmt="(2I5,2D18.10)" ) i, j, tt( i, j )
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k = k + 1
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END DO
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END DO
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call zhpev_drv( 'V', 'L', N, diag(:,1), e, tt, n )
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write( 100, fmt="(A20,2D18.10)" ) ' e test = ', e( 1 ), e( n )
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! write( 100, * ) 'eigenvalues and eigenvectors'
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DO j = 1, n
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! write( 100, fmt="(1I5,1D18.10,A)" ) j, e( j )
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DO i = 1, n
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! write( 100, fmt="(2I5,2D18.10)" ) i, j, tt( i, j )
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END DO
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END DO
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close(100)
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DEALLOCATE( diag )
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END IF
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CALL mp_bcast( tt, 0, desc( la_comm_ ) )
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CALL zsqmdst( n, tt, n, hh, nx, desc )
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DEALLOCATE( tt )
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CALL errore('cdiaghg','stop serial',1)
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RETURN
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END SUBROUTINE test_drv_end
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!
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END SUBROUTINE pcdiaghg
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!
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!
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!----------------------------------------------------------------------------
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SUBROUTINE pcdiaghg_nodist( n, m, h, s, ldh, e, v )
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!----------------------------------------------------------------------------
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!
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! ... calculates eigenvalues and eigenvectors of the generalized problem
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! ... Hv=eSv, with H hermitean matrix, S overlap matrix.
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! ... On output both matrix are unchanged
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!
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! ... Parallel version, matrices are NOT distributed
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!
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USE kinds, ONLY : DP
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USE control_flags, ONLY : use_para_diag
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USE mp, ONLY : mp_bcast, mp_sum
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USE mp_global, ONLY : npool, nproc_pool, me_pool, root_pool, &
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intra_pool_comm, &
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ortho_comm, np_ortho, me_ortho, ortho_comm_id
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USE zhpev_module, ONLY : pzhpev_drv
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USE descriptors, ONLY : descla_siz_ , descla_init , lambda_node_ , &
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nlax_ , la_nrl_ , ilac_ , ilar_ , nlar_ , &
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nlac_ , la_npc_ , la_npr_ , la_me_ , la_comm_
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!
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IMPLICIT NONE
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!
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INTEGER, INTENT(IN) :: n, m, ldh
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! dimension of the matrix to be diagonalized
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! number of eigenstates to be calculate
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! leading dimension of h, as declared in the calling pgm unit
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COMPLEX(DP), INTENT(INOUT) :: h(ldh,n), s(ldh,n)
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! actually intent(in) but compilers don't know and complain
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! matrix to be diagonalized
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! overlap matrix
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REAL(DP), INTENT(OUT) :: e(n)
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! eigenvalues
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COMPLEX(DP), INTENT(OUT) :: v(ldh,m)
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! eigenvectors (column-wise)
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!
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INTEGER :: lwork, nb, mm, info, i, j, k
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! mm = number of calculated eigenvectors
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INTEGER :: nr, nc, ir, ic, nx, nrl
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! local block size
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REAL(DP) :: abstol
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INTEGER, ALLOCATABLE :: iwork(:), ifail(:)
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REAL(DP), ALLOCATABLE :: rwork(:), sdiag(:), hdiag(:)
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COMPLEX(DP), ALLOCATABLE :: work(:)
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! various work space
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COMPLEX(DP), ALLOCATABLE :: sl(:,:), hl(:,:), vl(:,:)
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COMPLEX(DP), ALLOCATABLE :: diag(:,:), vv(:,:)
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! work space used only in parallel diagonalization
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LOGICAL :: all_eigenvalues
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! REAL(DP), EXTERNAL :: DLAMCH
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INTEGER, EXTERNAL :: ILAENV
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! ILAENV returns optimal block size "nb"
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INTEGER :: desc( descla_siz_ )
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!
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!
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CALL start_clock( 'cdiaghg' )
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!
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CALL descla_init( desc, n, n, np_ortho, me_ortho, ortho_comm, ortho_comm_id )
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!
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! ... input s and h are copied so that they are not destroyed
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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ir = desc( ilar_ )
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ic = desc( ilac_ )
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nr = desc( nlar_ )
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nc = desc( nlac_ )
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nx = desc( nlax_ )
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nrl = desc( la_nrl_ )
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ALLOCATE( sl( nx , nx ) )
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ALLOCATE( vl( nx , nx ) )
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ALLOCATE( hl( nx , nx ) )
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DO j = 1, nc
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DO i = 1, nr
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sl( i, j ) = s( i + ir - 1, j + ic - 1 )
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END DO
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DO i = nr+1, nx
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sl( i, j ) = 0.0d0
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END DO
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END DO
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DO j = nc + 1, nx
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DO i = 1, nx
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sl( i, j ) = 0.0d0
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END DO
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END DO
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DO j = 1, nc
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DO i = 1, nr
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hl( i, j ) = h( i + ir - 1, j + ic - 1 )
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END DO
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DO i = nr+1, nx
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hl( i, j ) = 0.0d0
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END DO
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END DO
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DO j = nc + 1, nx
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DO i = 1, nx
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hl( i, j ) = 0.0d0
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END DO
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END DO
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END IF
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CALL start_clock( 'cdiaghg:choldc' )
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!
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! ... Cholesky decomposition of sl ( L is stored in sl )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL qe_pzpotrf( sl, nx, n, desc )
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:choldc' )
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!
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! ... L is inverted ( sl = L^-1 )
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!
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CALL start_clock( 'cdiaghg:inversion' )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL qe_pztrtri( sl, nx, n, desc )
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:inversion' )
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!
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! ... vl = L^-1*H
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!
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CALL start_clock( 'cdiaghg:paragemm' )
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'N', 'N', n, ONE, sl, nx, hl, nx, ZERO, vl, nx, desc )
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!
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END IF
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!
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! ... hl = ( L^-1*H )*(L^-1)^T
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!
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IF( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'N', 'C', n, ONE, vl, nx, sl, nx, ZERO, hl, nx, desc )
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!
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END IF
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!
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CALL stop_clock( 'cdiaghg:paragemm' )
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL qe_pzheevd( .true., n, desc, hl, SIZE( hl, 1 ), e )
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!
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vl = hl
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!
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END IF
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!
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! ... v = (L^T)^-1 v
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!
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CALL start_clock( 'cdiaghg:paragemm' )
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!
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v(1:n,1:n) = ZERO
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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!
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CALL sqr_zmm_cannon( 'C', 'N', n, ONE, sl, nx, vl, nx, ZERO, hl, nx, desc )
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!
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DO j = 1, nc
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DO i = 1, nr
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v( i + ir - 1, j + ic - 1 ) = hl( i, j )
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END DO
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END DO
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!
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END IF
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!
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CALL mp_bcast( e, root_pool, intra_pool_comm )
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CALL mp_sum( v(1:n,1:n), intra_pool_comm )
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!
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CALL stop_clock( 'cdiaghg:paragemm' )
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!
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IF ( desc( lambda_node_ ) > 0 ) THEN
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DEALLOCATE( sl, vl, hl )
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END IF
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!
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CALL stop_clock( 'cdiaghg' )
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!
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RETURN
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!
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END SUBROUTINE pcdiaghg_nodist
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