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164 lines
6.5 KiB
Fortran
164 lines
6.5 KiB
Fortran
!!$
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!!$
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!!$ MLD2P4 version 2.0
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!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
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!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
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!!$
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!!$ (C) Copyright 2008,2009,2010
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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_saggrmap_bld.f90
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!
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! Subroutine: mld_saggrmap_bld
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! Version: real
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!
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! This routine builds a mapping from the row indices of the fine-level matrix
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! to the row indices of the coarse-level matrix, according to a decoupled
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! aggregation algorithm. This mapping will be used by mld_aggrmat_asb to
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! build the coarse-level matrix.
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!
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! The aggregation algorithm is a parallel version of that described in
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! * M. Brezina and P. Vanek, A black-box iterative solver based on a
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! two-level Schwarz method, Computing, 63 (1999), 233-263.
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! * P. Vanek, J. Mandel and M. Brezina, Algebraic Multigrid by Smoothed
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! Aggregation for Second and Fourth Order Elliptic Problems, Computing, 56
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! (1996), 179-196.
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! For more details see
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! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
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! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.
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! 57 (2007), 1181-1196.
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!
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!
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! Arguments:
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! aggr_type - integer, input.
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! The scalar used to identify the aggregation algorithm.
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! theta - real, input.
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! The aggregation threshold used in the aggregation algorithm.
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! a - type(psb_sspmat_type), input.
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! The sparse matrix structure containing the local part of
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! the fine-level matrix.
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! desc_a - type(psb_desc_type), input.
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! The communication descriptor of the fine-level matrix.
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! ilaggr - integer, dimension(:), allocatable.
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! The mapping between the row indices of the coarse-level
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! matrix and the row indices of the fine-level matrix.
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! ilaggr(i)=j means that node i in the adjacency graph
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! of the fine-level matrix is mapped onto node j in the
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! adjacency graph of the coarse-level matrix.
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! nlaggr - integer, dimension(:), allocatable.
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! nlaggr(i) contains the aggregates held by process i.
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! info - integer, output.
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! Error code.
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!
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subroutine mld_saggrmap_bld(aggr_type,theta,a,desc_a,ilaggr,nlaggr,info)
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use psb_base_mod
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use mld_s_inner_mod, mld_protect_name => mld_saggrmap_bld
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implicit none
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! Arguments
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integer, intent(in) :: aggr_type
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real(psb_spk_), intent(in) :: theta
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type(psb_sspmat_type), intent(in) :: a
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type(psb_desc_type), intent(in) :: desc_a
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integer, allocatable, intent(out) :: ilaggr(:),nlaggr(:)
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integer, intent(out) :: info
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! Local variables
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integer, allocatable :: ils(:), neigh(:)
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integer :: icnt,nlp,k,n,ia,isz,nr, naggr,i,j,m
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type(psb_sspmat_type) :: atmp, atrans
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logical :: recovery
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integer :: debug_level, debug_unit
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integer :: ictxt,np,me,err_act
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integer :: nrow, ncol, n_ne
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character(len=20) :: name, ch_err
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if(psb_get_errstatus() /= 0) return
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info=psb_success_
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name = 'mld_aggrmap_bld'
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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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!
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ictxt=desc_a%get_context()
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call psb_info(ictxt,me,np)
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nrow = desc_a%get_local_rows()
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ncol = desc_a%get_local_cols()
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select case (aggr_type)
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case (mld_dec_aggr_)
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call mld_dec_map_bld(theta,a,desc_a,nlaggr,ilaggr,info)
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case (mld_sym_dec_aggr_)
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nr = a%get_nrows()
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call a%csclip(atmp,info,imax=nr,jmax=nr,&
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& rscale=.false.,cscale=.false.)
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call atmp%set_nrows(nr)
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call atmp%set_ncols(nr)
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if (info == psb_success_) call atrans%transp(atmp)
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if (info == psb_success_) call atrans%cscnv(info,type='COO')
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if (info == psb_success_) call psb_rwextd(nr,atmp,info,b=atrans,rowscale=.false.)
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call atmp%set_nrows(nr)
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call atmp%set_ncols(nr)
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if (info == psb_success_) call atrans%free()
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if (info == psb_success_) call atmp%cscnv(info,type='CSR')
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if (info == psb_success_) call mld_dec_map_bld(theta,atmp,desc_a,nlaggr,ilaggr,info)
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if (info == psb_success_) call atmp%free()
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case default
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info = -1
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call psb_errpush(psb_err_input_value_invalid_i_,name,i_err=(/1,aggr_type,0,0,0/))
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goto 9999
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end select
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if (info /= psb_success_) then
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info=psb_err_internal_error_
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call psb_errpush(info,name,a_err='dec_map_bld')
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goto 9999
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end if
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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_saggrmap_bld
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