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183 lines
6.5 KiB
Fortran
183 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 3.3)
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!!$
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!!$ (C) Copyright 2008, 2010, 2012, 2015
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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_daggrmat_nosmth_asb.F90
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!
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! Subroutine: mld_daggrmat_nosmth_asb
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! Version: real
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!
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! This routine builds a coarse-level matrix A_C from a fine-level matrix A
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! by using the Galerkin approach, i.e.
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!
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! A_C = P_C^T A P_C,
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!
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! where P_C is the piecewise constant interpolation operator corresponding
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! the fine-to-coarse level mapping built by mld_aggrmap_bld.
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!
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! The coarse-level matrix A_C is distributed among the parallel processes or
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! replicated on each of them, according to the value of p%parms%coarse_mat
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! specified by the user through mld_dprecinit and mld_zprecset.
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!
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! For 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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!
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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
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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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! p - type(mld_d_onelev_type), input/output.
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! The 'one-level' data structure that will contain the local
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! part of the matrix to be built as well as the information
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! concerning the prolongator and its transpose.
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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_daggrmat_nosmth_asb(a,desc_a,ilaggr,nlaggr,parms,ac,op_prol,op_restr,info)
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use psb_base_mod
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use mld_d_inner_mod, mld_protect_name => mld_daggrmat_nosmth_asb
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implicit none
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! Arguments
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type(psb_dspmat_type), intent(in) :: a
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type(psb_desc_type), intent(in) :: desc_a
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integer(psb_ipk_), intent(inout) :: ilaggr(:), nlaggr(:)
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type(mld_dml_parms), intent(inout) :: parms
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type(psb_dspmat_type), intent(out) :: ac,op_prol,op_restr
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integer(psb_ipk_), intent(out) :: info
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! Local variables
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integer(psb_ipk_) :: err_act
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integer(psb_ipk_) :: ictxt,np,me, icomm, ndx, minfo
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character(len=20) :: name
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integer(psb_ipk_) :: ierr(5)
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type(psb_d_coo_sparse_mat) :: ac_coo, acoo
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type(psb_d_csr_sparse_mat) :: acsr1, acsr2
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integer(psb_ipk_) :: debug_level, debug_unit
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integer(psb_ipk_) :: nrow, nglob, ncol, ntaggr, nzl, ip, &
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& naggr, nzt, naggrm1, i, k
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name='mld_aggrmat_nosmth_asb'
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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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ictxt = desc_a%get_context()
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icomm = desc_a%get_mpic()
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call psb_info(ictxt, me, np)
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nglob = desc_a%get_global_rows()
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nrow = desc_a%get_local_rows()
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ncol = desc_a%get_local_cols()
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naggr = nlaggr(me+1)
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ntaggr = sum(nlaggr)
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naggrm1=sum(nlaggr(1:me))
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do i=1, nrow
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ilaggr(i) = ilaggr(i) + naggrm1
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end do
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call psb_halo(ilaggr,desc_a,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_halo')
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goto 9999
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end if
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call acoo%allocate(ncol,ntaggr,ncol)
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do i=1,nrow
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acoo%val(i) = done
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acoo%ia(i) = i
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acoo%ja(i) = ilaggr(i)
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end do
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call acoo%set_dupl(psb_dupl_add_)
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call acoo%set_nzeros(nrow)
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call acoo%set_asb()
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call acoo%fix(info)
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call op_prol%mv_from(acoo)
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call op_prol%cscnv(info,type='csr',dupl=psb_dupl_add_)
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if (info == psb_success_) call op_prol%transp(op_restr)
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call a%cp_to(ac_coo)
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nzt = ac_coo%get_nzeros()
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k = 0
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do i=1, nzt
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if (ac_coo%ja(i) <= nrow) then
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k = k + 1
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ac_coo%ia(k) = ilaggr(ac_coo%ia(i))
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ac_coo%ja(k) = ilaggr(ac_coo%ja(i))
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ac_coo%val(k) = ac_coo%val(i)
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end if
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enddo
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call ac_coo%set_nrows(naggr)
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call ac_coo%set_ncols(naggr)
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call ac_coo%set_nzeros(k)
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call ac_coo%set_dupl(psb_dupl_add_)
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call ac_coo%fix(info)
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call ac%mv_from(ac_coo)
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call psb_erractionrestore(err_act)
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return
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9999 call psb_error_handler(err_act)
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return
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end subroutine mld_daggrmat_nosmth_asb
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