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160 lines
5.3 KiB
Fortran
160 lines
5.3 KiB
Fortran
!!$
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!!$
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!!$ MLD2P4 version 1.1
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!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
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!!$ based on PSBLAS (Parallel Sparse BLAS version 2.3.1)
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!!$
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!!$ (C) Copyright 2008,2009
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!!$
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!!$ Salvatore Filippone University of Rome Tor Vergata
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!!$ Alfredo Buttari CNRS-IRIT, Toulouse
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!!$ Pasqua D'Ambra ICAR-CNR, Naples
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!!$ Daniela di Serafino Second University of Naples
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!!$
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!!$ Redistribution and use in source and binary forms, with or without
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!!$ modification, are permitted provided that the following conditions
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!!$ are met:
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!!$ 1. Redistributions of source code must retain the above copyright
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!!$ notice, this list of conditions and the following disclaimer.
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!!$ 2. Redistributions in binary form must reproduce the above copyright
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!!$ notice, this list of conditions, and the following disclaimer in the
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!!$ documentation and/or other materials provided with the distribution.
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!!$ 3. The name of the MLD2P4 group or the names of its contributors may
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!!$ not be used to endorse or promote products derived from this
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!!$ software without specific written permission.
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!!$
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!!$ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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!!$ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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!!$ TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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!!$ PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
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!!$ BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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!!$ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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!!$ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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!!$ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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!!$ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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!!$ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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!!$ POSSIBILITY OF SUCH DAMAGE.
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!!$
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!!$
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! File: mld_ddiag_bld.f90
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!
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! Subroutine: mld_ddiag_bld
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! Version: real
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!
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! This routine builds the diagonal preconditioner corresponding to a given
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! sparse matrix A.
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!
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!
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! Arguments:
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! a - type(psb_dspmat_type), input.
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! The sparse matrix structure containing the local part of the
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! matrix A to be preconditioned.
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! desc_a - type(psb_desc_type), input.
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! The communication descriptor associated to the sparse matrix A.
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! p - type(mld_dbaseprec_type), input/output.
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! The 'base preconditioner' data structure containing the local
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! part of the diagonal preconditioner.
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! info - integer, output.
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! Error code.
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!
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subroutine mld_ddiag_bld(a,desc_a,p,info)
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use psb_sparse_mod
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use mld_inner_mod, mld_protect_name => mld_ddiag_bld
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Implicit None
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! Arguments
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type(psb_d_sparse_mat),intent(in), target :: a
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type(psb_desc_type), intent(in) :: desc_a
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type(mld_dbaseprec_type),intent(inout) :: p
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integer, intent(out) :: info
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! Local variables
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Integer :: err_act,ictxt, me, np, n_row, n_col,i
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integer :: debug_level, debug_unit
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character(len=20) :: name, ch_err
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if(psb_get_errstatus().ne.0) return
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info = psb_success_
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call psb_erractionsave(err_act)
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debug_unit = psb_get_debug_unit()
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debug_level = psb_get_debug_level()
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name = 'mld_ddiag_bld'
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info = psb_success_
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ictxt = psb_cd_get_context(desc_a)
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n_row = psb_cd_get_local_rows(desc_a)
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n_col = psb_cd_get_local_cols(desc_a)
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call psb_info(ictxt, me, np)
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if (debug_level >= psb_debug_outer_)&
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& write(debug_unit,*) me,' ',trim(name),' Enter'
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call psb_realloc(n_col,p%d,info)
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if (info /= psb_success_) then
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call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_realloc')
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goto 9999
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end if
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!
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! Retrieve the diagonal entries of the matrix A
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!
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call a%get_diag(p%d,info)
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if(info /= psb_success_) then
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info=psb_err_from_subroutine_
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ch_err='psb_sp_getdiag'
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call psb_errpush(info,name,a_err=ch_err)
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goto 9999
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end if
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!
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! Copy into p%desc_data the descriptor associated to A
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!
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call psb_cdcpy(desc_a,p%desc_Data,info)
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if (info /= psb_success_) then
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call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_cdcpy')
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goto 9999
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end if
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!
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! The i-th diagonal entry of the preconditioner is set to one if the
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! corresponding entry a_ii of the sparse matrix A is zero; otherwise
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! it is set to one/a_ii
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!
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do i=1,n_row
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if (p%d(i) == dzero) then
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p%d(i) = done
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else
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p%d(i) = done/p%d(i)
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endif
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end do
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!!$ if (a%pl(1) /= 0) then
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!!$ !
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!!$ ! Apply the same row permutation as in the sparse matrix A
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!!$ !
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!!$ call psb_gelp('n',a%pl,p%d,info)
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!!$ if(info /= psb_success_) then
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!!$ info=psb_err_from_subroutine_
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!!$ ch_err='psb_gelp'
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!!$ call psb_errpush(info,name,a_err=ch_err)
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!!$ goto 9999
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!!$ end if
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!!$ endif
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!!$
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!!$ if (debug_level >= psb_debug_outer_) &
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!!$ & write(debug_unit,*) me,' ',trim(name),'Done'
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call psb_erractionrestore(err_act)
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return
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9999 continue
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call psb_erractionrestore(err_act)
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if (err_act.eq.psb_act_abort_) then
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call psb_error()
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return
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end if
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return
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end subroutine mld_ddiag_bld
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