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269 lines
9.8 KiB
Fortran
269 lines
9.8 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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!
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! Build an aggregation hierarchy with a target aggregation size
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!
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!
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subroutine mld_s_bld_mlhier_aggsize(casize,mxplevs,mnaggratio,a,desc_a,precv,info)
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use psb_base_mod
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use mld_s_inner_mod, mld_protect_name => mld_s_bld_mlhier_aggsize
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use mld_s_prec_mod
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implicit none
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integer(psb_ipk_), intent(in) :: casize,mxplevs
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real(psb_spk_) :: mnaggratio
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type(psb_sspmat_type),intent(in), target :: a
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type(psb_desc_type), intent(inout), target :: desc_a
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type(mld_s_onelev_type), allocatable, target, intent(inout) :: precv(:)
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integer(psb_ipk_), intent(out) :: info
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! Local
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integer(psb_ipk_) :: ictxt, me,np
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integer(psb_ipk_) :: err,i,k, err_act, iszv, newsz, iaggsize
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integer(psb_ipk_) :: ipv(mld_ifpsz_), val
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integer(psb_ipk_) :: int_err(5)
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character :: upd_
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class(mld_s_base_smoother_type), allocatable :: coarse_sm, base_sm, med_sm, base_sm2, med_sm2
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type(mld_sml_parms) :: baseparms, medparms, coarseparms
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type(mld_s_onelev_node), pointer :: head, tail, newnode, current
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real(psb_spk_) :: sizeratio
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integer(psb_ipk_) :: debug_level, debug_unit
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character(len=20) :: name, ch_err
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name = 'mld_bld_mlhier_aggsize'
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if (psb_get_errstatus().ne.0) return
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info=psb_success_
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err=0
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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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ictxt = desc_a%get_ctxt()
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call psb_info(ictxt,me,np)
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!
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! New strategy to build according to coarse size.
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!
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iszv = size(precv)
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coarseparms = precv(iszv)%parms
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baseparms = precv(1)%parms
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medparms = precv(2)%parms
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allocate(coarse_sm, source=precv(iszv)%sm,stat=info)
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if (info == psb_success_) &
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& allocate(med_sm, source=precv(2)%sm,stat=info)
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if (info == psb_success_) &
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& allocate(base_sm, source=precv(1)%sm,stat=info)
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if ((info == psb_success_).and.allocated(precv(1)%sm2a)) &
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& allocate(base_sm2, source=precv(1)%sm2a,stat=info)
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if ((info == psb_success_).and.allocated(precv(2)%sm2a)) &
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& allocate(med_sm2, source=precv(2)%sm2a,stat=info)
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if (info /= psb_success_) then
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write(0,*) 'Error in saving smoothers',info
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call psb_errpush(psb_err_internal_error_,name,a_err='Base level precbuild.')
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goto 9999
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end if
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!
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! Replicated matrix should only ever happen at coarse level.
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!
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call mld_check_def(baseparms%coarse_mat,'Coarse matrix',&
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& mld_distr_mat_,is_distr_ml_coarse_mat)
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!
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! Now build a doubly linked list
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!
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allocate(newnode,stat=info)
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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='List start'); goto 9999
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end if
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head => newnode
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tail => newnode
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newnode%item%base_a => a
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newnode%item%base_desc => desc_a
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newnode%item%parms = baseparms
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newsz = 1
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current => head
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list_build_loop: do
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allocate(newnode,stat=info)
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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='List start'); goto 9999
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end if
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current%next => newnode
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newnode%prev => current
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newsz = newsz + 1
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newnode%item%parms = medparms
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newnode%item%parms%aggr_thresh = &
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& (current%item%parms%aggr_thresh)*(current%item%parms%aggr_scale)
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call mld_coarse_bld(current%item%base_a, current%item%base_desc, &
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& newnode%item,info)
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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='build next level'); goto 9999
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end if
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current => current%next
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tail => current
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iaggsize = sum(current%item%map%naggr)
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if (iaggsize <= casize) then
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!
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! Target reached; but we may need to rebuild.
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!
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exit list_build_loop
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end if
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if (newsz>2) then
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sizeratio = iaggsize
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sizeratio = sum(current%prev%item%map%naggr)/sizeratio
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if (sizeratio < mnaggratio) then
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if (sizeratio > 1) exit list_build_loop
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!
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! We are not gaining
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!
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newsz = newsz-1
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current => current%prev
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current%next =>null()
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call newnode%item%free(info)
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if (info == psb_success_) deallocate(newnode,stat=info)
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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='Deallocate at list end'); goto 9999
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end if
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exit list_build_loop
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end if
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end if
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end do list_build_loop
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!
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! At this point, we are at the list tail.
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! If the top aggregation parameters were different, then we need to rebuild;
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! the threshold has to be fixed before rebuliding, and the parms must be
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! copied anyway since they'll be used later for the smoother build.
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!
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coarseparms%aggr_thresh = current%item%parms%aggr_thresh
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if (.not.mld_equal_aggregation(current%item%parms, coarseparms)) then
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! Need to rebuild.
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current%item%parms = coarseparms
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call mld_coarse_bld(current%prev%item%base_a,&
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& current%prev%item%base_desc, &
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& current%item,info)
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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='build next level'); goto 9999
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end if
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else
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! Need only copy the parms.
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current%item%parms = coarseparms
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end if
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!
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! Ok, now allocate the output vector and fix items.
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!
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do i=1,iszv
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if (info == psb_success_) call precv(i)%free(info)
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end do
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if (info == psb_success_) deallocate(precv,stat=info)
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if (info == psb_success_) allocate(precv(newsz),stat=info)
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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='Reallocate precv'); goto 9999
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end if
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newnode => head
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do i=1, newsz
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current => newnode
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! First do a move_alloc.
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! This handles the AC, DESC_AC and MAP fields
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if (info == psb_success_) &
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& call current%item%move_alloc(precv(i),info)
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! Now set the smoother/solver parts.
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if (info == psb_success_) then
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if (i ==1) then
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allocate(precv(i)%sm,source=base_sm,stat=info)
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if (allocated(base_sm2)) then
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allocate(precv(i)%sm2a,source=base_sm2,stat=info)
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precv(i)%sm2 => precv(i)%sm2a
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else
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precv(i)%sm2 => precv(i)%sm
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end if
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else if (i < newsz) then
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allocate(precv(i)%sm,source=med_sm,stat=info)
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if (allocated(med_sm2)) then
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allocate(precv(i)%sm2a,source=med_sm2,stat=info)
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precv(i)%sm2 => precv(i)%sm2a
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else
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precv(i)%sm2 => precv(i)%sm
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end if
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else
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allocate(precv(i)%sm,source=coarse_sm,stat=info)
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end if
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end if
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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='list cpy'); goto 9999
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end if
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if (i == 1) then
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precv(i)%base_a => a
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precv(i)%base_desc => desc_a
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else
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precv(i)%base_a => precv(i)%ac
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precv(i)%base_desc => precv(i)%desc_ac
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precv(i)%map%p_desc_X => precv(i-1)%base_desc
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precv(i)%map%p_desc_Y => precv(i)%base_desc
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end if
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newnode => current%next
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deallocate(current)
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end do
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call base_sm%free(info)
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if (info == psb_success_) call med_sm%free(info)
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if (info == psb_success_) call coarse_sm%free(info)
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if ((info == psb_success_).and.(allocated(base_sm2))) call base_sm2%free(info)
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if ((info == psb_success_).and.(allocated(med_sm2))) call med_sm2%free(info)
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if (info == psb_success_) deallocate(coarse_sm,med_sm,base_sm,stat=info)
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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='final cleanup'); goto 9999
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end if
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iszv = newsz
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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_s_bld_mlhier_aggsize
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