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202 lines
8.5 KiB
Fortran
202 lines
8.5 KiB
Fortran
!
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!
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! MLD2P4 version 2.2
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! MultiLevel Domain Decomposition Parallel Preconditioners Package
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! based on PSBLAS (Parallel Sparse BLAS version 3.5)
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!
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! (C) Copyright 2008-2018
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!
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! Salvatore Filippone
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! Pasqua D'Ambra
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! Daniela di Serafino
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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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! Basic (decoupled) aggregation algorithm. Based on the ideas 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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!
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module mld_z_dec_aggregator_mod
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use mld_z_base_aggregator_mod
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!> \namespace mld_z_dec_aggregator_mod \class mld_z_dec_aggregator_type
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!! \extends mld_z_base_aggregator_mod::mld_z_base_aggregator_type
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!!
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!! type, extends(mld_z_base_aggregator_type) :: mld_z_dec_aggregator_type
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!! procedure(mld_z_soc_map_bld), nopass, pointer :: soc_map_bld => null()
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!! end type
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!!
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!! This is the simplest aggregation method: starting from the
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!! strength-of-connection measure for defining the aggregation
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!! presented in
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!!
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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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!!
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!! it achieves parallelization by simply acting on the local matrix,
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!! i.e. by "decoupling" the subdomains.
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!! The data structure hosts a "map_bld" function pointer which allows to
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!! choose other ways to measure "strength-of-connection", of which the
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!! Vanek-Brezina-Mandel is the default. More details are available in
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!!
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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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!! The soc_map_bld method is used inside the implementation of build_tprol
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!!
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!
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!
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type, extends(mld_z_base_aggregator_type) :: mld_z_dec_aggregator_type
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procedure(mld_z_soc_map_bld), nopass, pointer :: soc_map_bld => null()
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contains
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procedure, pass(ag) :: bld_tprol => mld_z_dec_aggregator_build_tprol
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procedure, pass(ag) :: mat_bld => mld_z_dec_aggregator_mat_bld
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procedure, pass(ag) :: mat_asb => mld_z_dec_aggregator_mat_asb
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procedure, pass(ag) :: default => mld_z_dec_aggregator_default
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procedure, pass(ag) :: set_aggr_type => mld_z_dec_aggregator_set_aggr_type
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procedure, pass(ag) :: descr => mld_z_dec_aggregator_descr
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procedure, nopass :: fmt => mld_z_dec_aggregator_fmt
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end type mld_z_dec_aggregator_type
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procedure(mld_z_soc_map_bld) :: mld_z_soc1_map_bld, mld_z_soc2_map_bld
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interface
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subroutine mld_z_dec_aggregator_build_tprol(ag,parms,ag_data,&
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& a,desc_a,ilaggr,nlaggr,op_prol,info)
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import :: mld_z_dec_aggregator_type, psb_desc_type, psb_zspmat_type, psb_dpk_, &
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& psb_ipk_, psb_lpk_, psb_lzspmat_type, mld_dml_parms, mld_daggr_data
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implicit none
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class(mld_z_dec_aggregator_type), target, intent(inout) :: ag
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type(mld_dml_parms), intent(inout) :: parms
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type(mld_daggr_data), intent(in) :: ag_data
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type(psb_zspmat_type), intent(inout) :: a
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type(psb_desc_type), intent(inout) :: desc_a
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integer(psb_lpk_), allocatable, intent(out) :: ilaggr(:),nlaggr(:)
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type(psb_lzspmat_type), intent(out) :: op_prol
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integer(psb_ipk_), intent(out) :: info
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end subroutine mld_z_dec_aggregator_build_tprol
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end interface
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interface
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subroutine mld_z_dec_aggregator_mat_bld(ag,parms,a,desc_a,ilaggr,nlaggr,ac,&
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& op_prol,op_restr,info)
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import :: mld_z_dec_aggregator_type, psb_desc_type, psb_zspmat_type, psb_dpk_, &
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& psb_ipk_, psb_lpk_, psb_lzspmat_type, mld_dml_parms
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implicit none
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class(mld_z_dec_aggregator_type), target, intent(inout) :: ag
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type(mld_dml_parms), intent(inout) :: parms
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type(psb_zspmat_type), intent(in) :: a
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type(psb_desc_type), intent(in) :: desc_a
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integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
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type(psb_lzspmat_type), intent(inout) :: op_prol
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type(psb_lzspmat_type), intent(out) :: ac,op_restr
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integer(psb_ipk_), intent(out) :: info
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end subroutine mld_z_dec_aggregator_mat_bld
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end interface
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interface
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subroutine mld_z_dec_aggregator_mat_asb(ag,parms,a,desc_a,ilaggr,nlaggr,&
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& ac,desc_ac,op_prol,op_restr,info)
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import :: mld_z_dec_aggregator_type, psb_desc_type, psb_zspmat_type, psb_dpk_, &
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& psb_ipk_, psb_lpk_, psb_lzspmat_type, mld_dml_parms
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implicit none
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class(mld_z_dec_aggregator_type), target, intent(inout) :: ag
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type(mld_dml_parms), intent(inout) :: parms
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type(psb_zspmat_type), intent(in) :: a
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type(psb_desc_type), intent(in) :: desc_a
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integer(psb_lpk_), intent(inout) :: ilaggr(:), nlaggr(:)
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type(psb_lzspmat_type), intent(inout) :: op_prol,ac,op_restr
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type(psb_desc_type), intent(inout) :: desc_ac
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integer(psb_ipk_), intent(out) :: info
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end subroutine mld_z_dec_aggregator_mat_asb
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end interface
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contains
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subroutine mld_z_dec_aggregator_set_aggr_type(ag,parms,info)
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use mld_base_prec_type
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implicit none
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class(mld_z_dec_aggregator_type), intent(inout) :: ag
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type(mld_dml_parms), intent(in) :: parms
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integer(psb_ipk_), intent(out) :: info
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select case(parms%aggr_type)
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case (mld_noalg_)
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ag%soc_map_bld => null()
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case (mld_soc1_)
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ag%soc_map_bld => mld_z_soc1_map_bld
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case (mld_soc2_)
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ag%soc_map_bld => mld_z_soc2_map_bld
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case default
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write(0,*) 'Unknown aggregation type, defaulting to SOC1'
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ag%soc_map_bld => mld_z_soc1_map_bld
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end select
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return
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end subroutine mld_z_dec_aggregator_set_aggr_type
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subroutine mld_z_dec_aggregator_default(ag)
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implicit none
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class(mld_z_dec_aggregator_type), intent(inout) :: ag
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call ag%mld_z_base_aggregator_type%default()
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ag%soc_map_bld => mld_z_soc1_map_bld
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return
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end subroutine mld_z_dec_aggregator_default
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function mld_z_dec_aggregator_fmt() result(val)
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implicit none
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character(len=32) :: val
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val = "Decoupled aggregation"
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end function mld_z_dec_aggregator_fmt
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subroutine mld_z_dec_aggregator_descr(ag,parms,iout,info)
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implicit none
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class(mld_z_dec_aggregator_type), intent(in) :: ag
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type(mld_dml_parms), intent(in) :: parms
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integer(psb_ipk_), intent(in) :: iout
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integer(psb_ipk_), intent(out) :: info
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write(iout,*) 'Decoupled Aggregator'
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write(iout,*) 'Aggregator object type: ',ag%fmt()
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call parms%mldescr(iout,info)
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return
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end subroutine mld_z_dec_aggregator_descr
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end module mld_z_dec_aggregator_mod
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