Moved BootCMatch interface to tests; to be reviewed later.
parent
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@ -0,0 +1,225 @@
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!
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!
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! MLD2P4 version 2.1
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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, 2010, 2012, 2015, 2017 , 2017
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!
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! Salvatore Filippone Cranfield University
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! Ambra Abdullahi Hassan University of Rome Tor Vergata
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! Pasqua D'Ambra IAC-CNR, Naples, IT
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! Daniela di Serafino University of Campania "L. Vanvitelli", Caserta, IT
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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_d_base_aggregator_mat_asb.f90
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!
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! Subroutine: mld_d_base_aggregator_mat_asb
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! Version: real
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!
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! This routine builds the matrix associated to the current level of the
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! multilevel preconditioner from the matrix associated to the previous level,
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! by using the user-specified aggregation technique (therefore, it also builds the
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! prolongation and restriction operators mapping the current level to the
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! previous one and vice versa).
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! The current level is regarded as the coarse one, while the previous as
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! the fine one. This is in agreement with the fact that the routine is called,
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! by mld_mlprec_bld, only on levels >=2.
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! The coarse-level matrix A_C is built 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 a prolongator from the coarse level to the fine one.
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!
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! A mapping from the nodes of the adjacency graph of A to the nodes of the
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! adjacency graph of A_C has been computed by the mld_aggrmap_bld subroutine.
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! The prolongator P_C is built here from this mapping, according to the
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! value of p%iprcparm(mld_aggr_kind_), specified by the user through
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! mld_dprecinit and mld_zprecset.
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! On output from this routine the entries of AC, op_prol, op_restr
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! are still in "global numbering" mode; this is fixed in the calling routine
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! mld_d_lev_aggrmat_asb.
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!
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! Currently four different prolongators are implemented, corresponding to
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! four aggregation algorithms:
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! 1. un-smoothed aggregation,
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! 2. smoothed aggregation,
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! 3. "bizarre" aggregation.
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! 4. minimum energy
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! 1. The non-smoothed aggregation uses as prolongator the piecewise constant
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! interpolation operator corresponding to the fine-to-coarse level mapping built
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! by p%aggr%bld_tprol. This is called tentative prolongator.
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! 2. The smoothed aggregation uses as prolongator the operator obtained by applying
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! a damped Jacobi smoother to the tentative prolongator.
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! 3. The "bizarre" aggregation uses a prolongator proposed by the authors of MLD2P4.
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! This prolongator still requires a deep analysis and testing and its use is
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! not recommended.
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! 4. Minimum energy aggregation
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!
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! For more details see
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! M. Brezina and P. Vanek, A black-box iterative solver based on a two-level
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! Schwarz method, Computing, 63 (1999), 233-263.
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! P. D'Ambra, D. di Serafino and S. Filippone, On the development of PSBLAS-based
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! parallel two-level Schwarz preconditioners, Appl. Num. Math., 57 (2007),
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! 1181-1196.
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! M. Sala, R. Tuminaro: A new Petrov-Galerkin smoothed aggregation preconditioner
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! for nonsymmetric linear systems, SIAM J. Sci. Comput., 31(1):143-166 (2008)
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!
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!
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! The main structure is:
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! 1. Perform sanity checks;
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! 2. Compute prolongator/restrictor/AC
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!
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!
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! Arguments:
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! ag - type(mld_d_base_aggregator_type), input/output.
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! The aggregator object
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! parms - type(mld_dml_parms), input
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! The aggregation parameters
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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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! 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(:), input
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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. Note that the indices
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! are assumed to be shifted so as to make sure the ranges on
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! the various processes do not overlap.
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! nlaggr - integer, dimension(:) input
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! nlaggr(i) contains the aggregates held by process i.
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! ac - type(psb_dspmat_type), output
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! The coarse matrix on output
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!
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! op_prol - type(psb_dspmat_type), input/output
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! The tentative prolongator on input, the computed prolongator on output
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!
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! op_restr - type(psb_dspmat_type), output
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! The restrictor operator; normally, it is the transpose of the prolongator.
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!
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! info - integer, output.
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! Error code.
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!
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subroutine mld_d_bcmatch_aggregator_mat_asb(ag,parms,a,desc_a,ilaggr,nlaggr,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_d_base_aggregator_mat_asb
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implicit none
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class(mld_d_base_aggregator_type), target, intent(inout) :: ag
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type(mld_dml_parms), intent(inout) :: parms
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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(psb_dspmat_type), intent(inout) :: op_prol
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type(psb_dspmat_type), intent(out) :: ac,op_restr
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integer(psb_ipk_), intent(out) :: info
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! Local variables
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character(len=20) :: name
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integer(psb_mpik_) :: ictxt, np, me
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type(psb_d_coo_sparse_mat) :: acoo, bcoo
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type(psb_d_csr_sparse_mat) :: acsr1
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integer(psb_ipk_) :: nzl,ntaggr
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integer(psb_ipk_) :: err_act
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integer(psb_ipk_) :: debug_level, debug_unit
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name='mld_d_base_aggregator_mat_asb'
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if (psb_get_errstatus().ne.0) return
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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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info = psb_success_
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ictxt = desc_a%get_context()
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call psb_info(ictxt,me,np)
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call mld_check_def(parms%aggr_kind,'Smoother',&
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& mld_smooth_prol_,is_legal_ml_aggr_kind)
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call mld_check_def(parms%coarse_mat,'Coarse matrix',&
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& mld_distr_mat_,is_legal_ml_coarse_mat)
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call mld_check_def(parms%aggr_filter,'Use filtered matrix',&
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& mld_no_filter_mat_,is_legal_aggr_filter)
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call mld_check_def(parms%smoother_pos,'smooth_pos',&
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& mld_pre_smooth_,is_legal_ml_smooth_pos)
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call mld_check_def(parms%aggr_omega_alg,'Omega Alg.',&
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& mld_eig_est_,is_legal_ml_aggr_omega_alg)
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call mld_check_def(parms%aggr_eig,'Eigenvalue estimate',&
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& mld_max_norm_,is_legal_ml_aggr_eig)
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call mld_check_def(parms%aggr_omega_val,'Omega',dzero,is_legal_d_omega)
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!
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! Build the coarse-level matrix from the fine-level one, starting from
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! the mapping defined by mld_aggrmap_bld and applying the aggregation
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! algorithm specified by p%iprcparm(mld_aggr_kind_)
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!
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select case (parms%aggr_kind)
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case (mld_no_smooth_)
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call mld_daggrmat_unsmth_spmm_asb(a,desc_a,ilaggr,nlaggr,&
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& parms,ac,op_prol,op_restr,info)
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case(mld_smooth_prol_)
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call mld_daggrmat_smth_asb(a,desc_a,ilaggr,nlaggr, &
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& parms,ac,op_prol,op_restr,info)
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case(mld_biz_prol_)
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call mld_daggrmat_biz_asb(a,desc_a,ilaggr,nlaggr, &
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& parms,ac,op_prol,op_restr,info)
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case(mld_min_energy_)
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call mld_daggrmat_minnrg_asb(a,desc_a,ilaggr,nlaggr, &
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& parms,ac,op_prol,op_restr,info)
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case default
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info = psb_err_internal_error_
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call psb_errpush(info,name,a_err='Invalid aggr kind')
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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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call psb_errpush(psb_err_from_subroutine_,name,a_err='Inner aggrmat asb')
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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 call psb_error_handler(err_act)
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return
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end subroutine mld_d_bcmatch_aggregator_mat_asb
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@ -0,0 +1,355 @@
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!
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!
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! MLD2P4 version 2.1
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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, 2010, 2012, 2015, 2017 , 2017
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!
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! Salvatore Filippone Cranfield University
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! Ambra Abdullahi Hassan University of Rome Tor Vergata
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! Pasqua D'Ambra IAC-CNR, Naples, IT
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! Daniela di Serafino University of Campania "L. Vanvitelli", Caserta, IT
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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
|
||||
! notice, this list of conditions and the following disclaimer.
|
||||
! 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_d_bcmatch_aggregator_tprol.f90
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!
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! Subroutine: mld_d_bcmatch_aggregator_tprol
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! Version: real
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!
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!
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! This routine is mainly an interface to hyb_map_bld where the real work is performed.
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! It takes care of some consistency checking, and calls map_to_tprol, which is
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! refactored and shared among all the aggregation methods that produce a simple
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! integer mapping.
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!
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!
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! Arguments:
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! p - type(mld_d_onelev_type), input/output.
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! The 'one-level' data structure containing the control
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! parameters and (eventually) coarse matrix and prolongator/restrictors.
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!
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! a - type(psb_dspmat_type).
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! The sparse matrix structure containing the local part of the
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! fine-level matrix.
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! desc_a - type(psb_desc_type), input.
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! The communication descriptor of a.
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! ilaggr - integer, dimension(:), allocatable, output
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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. Note that on exit the indices
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! will be shifted so as to make sure the ranges on the various processes do not
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! overlap.
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! nlaggr - integer, dimension(:), allocatable, output
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! nlaggr(i) contains the aggregates held by process i.
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! op_prol - type(psb_dspmat_type), output
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! The tentative prolongator, based on ilaggr.
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!
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! info - integer, output.
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! Error code.
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!
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module bcm_CSRMatrix_mod
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use psb_base_mod
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use psb_util_mod
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use iso_c_binding
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use bcm_csr_type_mod
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implicit none
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contains
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subroutine MLD_to_CSR(a,csr_ia, csr_ja, csr_val, C, info)
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type(psb_dspmat_type), intent(in) :: a
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type(bcm_CSRMatrix), intent(out) :: C
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real(c_double), allocatable, target, intent(out) :: csr_val(:)
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integer(c_int), allocatable, target, intent(out) :: csr_ia(:), csr_ja(:)
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!Local variable
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character(len=20) :: name
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integer(psb_ipk_) :: info
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real(psb_dpk_), allocatable :: coo_val(:)
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integer(psb_ipk_), allocatable :: coo_ia(:), coo_ja(:)
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integer(psb_ipk_) :: x, nz, num_rows, num_cols , i , j, iad, k , k0
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type(psb_d_csr_sparse_mat) :: acsr
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name="MLD_to_CSR"
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num_rows= a%get_nrows()
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num_cols= a%get_ncols()
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nz= a%get_nzeros()
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call a%csgetrow(1,num_rows,nz,coo_ia,coo_ja,coo_val,info)
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!allocate(csr_ia(0:nz-1), csr_ja(0:nz-1), csr_val(0:nz-1), STAT=info)
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if (info /= psb_success_) then
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info=psb_err_alloc_request_
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call psb_errpush(info,name,i_err=(/nz,izero,izero,izero,izero/),&
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& a_err='integer')
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return
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end if
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call a%cp_to(acsr)
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allocate(csr_ia(0:nz-1), csr_ja(0:nz-1), csr_val(0:nz-1), STAT=info)
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csr_ia(0:min(nz,size(acsr%irp,1))-1)=acsr%irp(1:min(nz,size(acsr%irp,1)))-1
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csr_ja(0:nz-1)=acsr%ja(1:nz)-1
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csr_val(0:nz-1)=acsr%val(1:nz)
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call acsr%free()
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C%num_rows=num_rows
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C%num_cols=num_cols
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C%num_nonzeros=nz
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C%owns_data=0
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C%i=c_loc(csr_ia)
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C%j=c_loc(csr_ja)
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C%data=c_loc(csr_val)
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end subroutine MLD_to_CSR
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subroutine bcm_to_op_prol(P, ilaggr, valaggr, info)
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type(bcm_CSRMatrix), intent(in) :: P
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integer(psb_ipk_), allocatable, intent(out) :: ilaggr(:)
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integer(psb_ipk_), intent(out) :: info
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real(psb_dpk_), allocatable, intent(out) :: valaggr(:)
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! Local variables
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integer(psb_ipk_), pointer :: point_ia(:), point_ja(:)
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real(psb_dpk_), pointer :: point_val(:)
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integer(psb_ipk_) :: i, j, k
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integer(psb_ipk_) :: n, num_rows, num_cols, num_nz
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character(len=20) :: name
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integer(c_int), allocatable, target :: coo_ia(:),coo_ja(:)
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real(c_double), allocatable, target :: coo_val(:)
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name="bcm_to_op_prol"
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num_nz = P%num_nonzeros
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num_rows = P%num_rows
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num_cols = P%num_cols
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call c_f_pointer(P%i,point_ia,(/num_rows+1/))
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call c_f_pointer(P%j,point_ja,(/num_nz/))
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call c_f_pointer(P%data,point_val,(/num_nz/))
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!These are I, J, VAL.
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!These are I, J, VAL.
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if (allocated(coo_ia)) deallocate(coo_ia)
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if (allocated(coo_ja)) deallocate(coo_ja)
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if (allocated(coo_val)) deallocate(coo_val)
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allocate(coo_ia(num_nz),coo_ja(num_nz),coo_val(num_nz), STAT=info)
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!!$ write(0,*) num_rows,num_cols,num_nz,info,size(coo_val)
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if (info /= psb_success_) then
|
||||
info=psb_err_alloc_request_
|
||||
call psb_errpush(info,name,i_err=(/num_nz,izero,izero,izero,izero/),&
|
||||
& a_err='integer')
|
||||
return
|
||||
end if
|
||||
|
||||
n = 1
|
||||
!coo_ia=-123
|
||||
!coo_ja=-123
|
||||
coo_val(1:num_nz)=point_val(1:num_nz)
|
||||
do i=1, num_rows
|
||||
do j=point_ia(i)+1, point_ia(i+1)
|
||||
coo_ia(n)=i
|
||||
coo_ja(n)=point_ja(j) + 1
|
||||
n = n + 1
|
||||
enddo
|
||||
enddo
|
||||
if (allocated(ilaggr)) deallocate(ilaggr)
|
||||
if (allocated(valaggr)) deallocate(valaggr)
|
||||
allocate(ilaggr(num_rows),valaggr(num_rows), STAT=info)
|
||||
ilaggr=0
|
||||
if (info /= psb_success_) then
|
||||
info=psb_err_alloc_request_
|
||||
call psb_errpush(info,name,i_err=(/num_rows,izero,izero,izero,izero/),&
|
||||
& a_err='integer')
|
||||
return
|
||||
end if
|
||||
|
||||
do k=1,num_nz
|
||||
i=coo_ia(k)
|
||||
j=coo_ja(k)
|
||||
ilaggr(i)=j
|
||||
valaggr(i)=coo_val(i)
|
||||
enddo
|
||||
if (allocated(coo_ia)) deallocate(coo_ia)
|
||||
if (allocated(coo_ja)) deallocate(coo_ja)
|
||||
if (allocated(coo_val)) deallocate(coo_val)
|
||||
nullify(point_ia)
|
||||
nullify(point_ja)
|
||||
nullify(point_val)
|
||||
end subroutine bcm_to_op_prol
|
||||
end module bcm_CSRMatrix_mod
|
||||
|
||||
|
||||
subroutine mld_d_bcmatch_aggregator_build_tprol(ag,parms,a,desc_a,ilaggr,nlaggr,op_prol,info)
|
||||
use psb_base_mod
|
||||
use mld_d_bcmatch_aggregator_mod, mld_protect_name => mld_d_bcmatch_aggregator_build_tprol
|
||||
use mld_d_inner_mod
|
||||
!use bcm_CSRMatrix_mod
|
||||
use bcm_csr_type_mod
|
||||
use iso_c_binding
|
||||
implicit none
|
||||
class(mld_d_bcmatch_aggregator_type), target, intent(inout) :: ag
|
||||
type(mld_dml_parms), intent(inout) :: parms
|
||||
type(psb_dspmat_type), intent(in) :: a
|
||||
type(psb_desc_type), intent(in) :: desc_a
|
||||
integer(psb_ipk_), allocatable, intent(out) :: ilaggr(:),nlaggr(:)
|
||||
real(psb_dpk_), allocatable:: valaggr(:)
|
||||
type(psb_dspmat_type), intent(out) :: op_prol
|
||||
integer(psb_ipk_), intent(out) :: info
|
||||
|
||||
|
||||
! Local variables
|
||||
type(psb_dspmat_type) :: a_tmp
|
||||
type(bcm_CSRMatrix) :: C, P
|
||||
integer(c_int) :: match_algorithm, n_sweeps, max_csize, max_nlevels
|
||||
character(len=20) :: name, ch_err
|
||||
integer(psb_mpik_) :: ictxt, np, me
|
||||
integer(psb_ipk_) :: err_act, ierr
|
||||
integer(psb_ipk_) :: debug_level, debug_unit
|
||||
integer(psb_ipk_) :: i, j, k, nr, nc, isz, num_pcols
|
||||
type(psb_d_csr_sparse_mat), target :: acsr
|
||||
integer(psb_ipk_), allocatable, target :: csr_ia(:), csr_ja(:)
|
||||
integer(psb_ipk_), allocatable :: aux(:)
|
||||
real(psb_dpk_), allocatable, target:: csr_val(:)
|
||||
interface
|
||||
function bootCMatch(C,match_alg,n_sweeps,max_nlevels,max_csize,w)bind(c,name='bootCMatch') result(P)
|
||||
use iso_c_binding
|
||||
use bcm_CSRMatrix_mod
|
||||
implicit none
|
||||
type(bcm_CSRMatrix) :: C, P
|
||||
type(bcm_Vector) :: w
|
||||
integer(c_int) :: match_alg
|
||||
integer(c_int) :: n_sweeps
|
||||
integer(c_int) :: max_nlevels
|
||||
integer(c_int) :: max_csize
|
||||
end function bootCMatch
|
||||
end interface
|
||||
|
||||
interface
|
||||
function mld_bootCMatch_if(C,match_alg,n_sweeps,max_nlevels,max_csize,&
|
||||
& w,isz,ilaggr,valaggr, num_cols) &
|
||||
& bind(c,name='mld_bootCMatch_if') result(iret)
|
||||
use iso_c_binding
|
||||
use bcm_CSRMatrix_mod
|
||||
implicit none
|
||||
type(bcm_CSRMatrix) :: C, P
|
||||
type(bcm_Vector) :: w
|
||||
integer(c_int), value :: match_alg
|
||||
integer(c_int), value :: n_sweeps
|
||||
integer(c_int), value :: max_nlevels
|
||||
integer(c_int), value :: max_csize
|
||||
integer(c_int), value :: isz
|
||||
integer(c_int) :: num_cols
|
||||
integer(c_int) :: ilaggr(*)
|
||||
real(c_double) :: valaggr(*)
|
||||
integer(c_int) :: iret
|
||||
end function mld_bootCMatch_if
|
||||
end interface
|
||||
|
||||
name='mld_d_bcmatch_aggregator_tprol'
|
||||
ictxt = desc_a%get_context()
|
||||
call psb_info(ictxt,me,np)
|
||||
if (psb_get_errstatus().ne.0) return
|
||||
call psb_erractionsave(err_act)
|
||||
debug_unit = psb_get_debug_unit()
|
||||
debug_level = psb_get_debug_level()
|
||||
info = psb_success_
|
||||
|
||||
|
||||
call mld_check_def(parms%ml_type,'Multilevel type',&
|
||||
& mld_mult_ml_,is_legal_ml_type)
|
||||
call mld_check_def(parms%aggr_alg,'Aggregation',&
|
||||
& mld_dec_aggr_,is_legal_ml_aggr_alg)
|
||||
call mld_check_def(parms%aggr_ord,'Ordering',&
|
||||
& mld_aggr_ord_nat_,is_legal_ml_aggr_ord)
|
||||
call mld_check_def(parms%aggr_thresh,'Aggr_Thresh',dzero,is_legal_d_aggr_thrs)
|
||||
|
||||
call a%csclip(b=a_tmp, info=info, jmax=a%get_nrows(), imax=a%get_nrows())
|
||||
|
||||
call a_tmp%mv_to(acsr)
|
||||
|
||||
!write(*,*) 'Build_tprol:',acsr%get_nrows(),acsr%get_ncols()
|
||||
C%num_rows=acsr%get_nrows()
|
||||
C%num_cols=acsr%get_ncols()
|
||||
C%num_nonzeros=acsr%get_nzeros()
|
||||
C%owns_data=0
|
||||
acsr%irp = acsr%irp - 1
|
||||
acsr%ja = acsr%ja - 1
|
||||
C%i=c_loc(acsr%irp)
|
||||
C%j=c_loc(acsr%ja)
|
||||
C%data=c_loc(acsr%val)
|
||||
|
||||
isz = a%get_ncols()
|
||||
call psb_realloc(isz,ilaggr,info)
|
||||
if (info == psb_success_) call psb_realloc(isz,valaggr,info)
|
||||
if (info /= psb_success_) then
|
||||
info=psb_err_from_subroutine_
|
||||
ch_err='psb_realloc'
|
||||
call psb_errpush(info,name,a_err=ch_err)
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
match_algorithm = ag%matching_alg
|
||||
n_sweeps = ag%n_sweeps
|
||||
max_csize = ag%max_csize
|
||||
max_nlevels = ag%max_nlevels
|
||||
|
||||
info = mld_bootCMatch_if(C,match_algorithm,n_sweeps,max_nlevels,max_csize,&
|
||||
& ag%w_par, isz, ilaggr, valaggr, num_pcols)
|
||||
if (info /= psb_success_) then
|
||||
!!$ write(0,*) 'On return from bootCMatch_if:',info
|
||||
call psb_errpush(psb_err_from_subroutine_,name,a_err='mld_bootCMatch_if')
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
call psb_realloc(np,nlaggr,info)
|
||||
if (info /= psb_success_) then
|
||||
info=psb_err_alloc_request_
|
||||
call psb_errpush(info,name,i_err=(/np,izero,izero,izero,izero/),&
|
||||
& a_err='integer')
|
||||
goto 9999
|
||||
end if
|
||||
call acsr%free()
|
||||
|
||||
nlaggr(:)=0
|
||||
nlaggr(me+1) = num_pcols
|
||||
call psb_sum(ictxt,nlaggr(1:np))
|
||||
|
||||
|
||||
call mld_bcmatch_map_to_tprol(desc_a,ilaggr,nlaggr,valaggr,op_prol,info)
|
||||
if (info /= psb_success_) then
|
||||
call psb_errpush(psb_err_from_subroutine_,name,a_err='mld_bcmatch_map_to_tprol')
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
call psb_erractionrestore(err_act)
|
||||
return
|
||||
|
||||
9999 call psb_error_handler(err_act)
|
||||
return
|
||||
|
||||
end subroutine mld_d_bcmatch_aggregator_build_tprol
|
@ -0,0 +1,158 @@
|
||||
!
|
||||
!
|
||||
! MLD2P4 version 2.1
|
||||
! MultiLevel Domain Decomposition Parallel Preconditioners Package
|
||||
! based on PSBLAS (Parallel Sparse BLAS version 3.5)
|
||||
!
|
||||
! (C) Copyright 2008, 2010, 2012, 2015, 2017 , 2017
|
||||
!
|
||||
! Salvatore Filippone Cranfield University
|
||||
! Ambra Abdullahi Hassan University of Rome Tor Vergata
|
||||
! Pasqua D'Ambra IAC-CNR, Naples, IT
|
||||
! Daniela di Serafino University of Campania "L. Vanvitelli", Caserta, IT
|
||||
!
|
||||
! Redistribution and use in source and binary forms, with or without
|
||||
! modification, are permitted provided that the following conditions
|
||||
! are met:
|
||||
! 1. Redistributions of source code must retain the above copyright
|
||||
! notice, this list of conditions and the following disclaimer.
|
||||
! 2. Redistributions in binary form must reproduce the above copyright
|
||||
! notice, this list of conditions, and the following disclaimer in the
|
||||
! documentation and/or other materials provided with the distribution.
|
||||
! 3. The name of the MLD2P4 group or the names of its contributors may
|
||||
! not be used to endorse or promote products derived from this
|
||||
! software without specific written permission.
|
||||
!
|
||||
! THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
|
||||
! ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
|
||||
! TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||||
! PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
|
||||
! BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
||||
! CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
||||
! SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
||||
! INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
||||
! CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
||||
! ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
||||
! POSSIBILITY OF SUCH DAMAGE.
|
||||
!
|
||||
!
|
||||
! File: mld_d_bcmatch_map_to_tprol.f90
|
||||
!
|
||||
! Subroutine: mld_d_bcmatch_map_to_tprol
|
||||
! Version: real
|
||||
!
|
||||
! This routine uses a mapping from the row indices of the fine-level matrix
|
||||
! to the row indices of the coarse-level matrix to build a tentative
|
||||
! prolongator, i.e. a piecewise constant operator.
|
||||
! This is later used to build the final operator; the code has been refactored here
|
||||
! to be shared among all the methods that provide the tentative prolongator
|
||||
! through a simple integer mapping.
|
||||
!
|
||||
! The aggregation algorithm is a parallel version of that described in
|
||||
! * M. Brezina and P. Vanek, A black-box iterative solver based on a
|
||||
! two-level Schwarz method, Computing, 63 (1999), 233-263.
|
||||
! * P. Vanek, J. Mandel and M. Brezina, Algebraic Multigrid by Smoothed
|
||||
! Aggregation for Second and Fourth Order Elliptic Problems, Computing, 56
|
||||
! (1996), 179-196.
|
||||
! For more details see
|
||||
! P. D'Ambra, D. di Serafino and S. Filippone, On the development of
|
||||
! PSBLAS-based parallel two-level Schwarz preconditioners, Appl. Num. Math.
|
||||
! 57 (2007), 1181-1196.
|
||||
!
|
||||
!
|
||||
! Arguments:
|
||||
! aggr_type - integer, input.
|
||||
! The scalar used to identify the aggregation algorithm.
|
||||
! theta - real, input.
|
||||
! The aggregation threshold used in the aggregation algorithm.
|
||||
! a - type(psb_dspmat_type), input.
|
||||
! The sparse matrix structure containing the local part of
|
||||
! the fine-level matrix.
|
||||
! desc_a - type(psb_desc_type), input.
|
||||
! The communication descriptor of the fine-level matrix.
|
||||
! ilaggr - integer, dimension(:), allocatable.
|
||||
! The mapping between the row indices of the coarse-level
|
||||
! matrix and the row indices of the fine-level matrix.
|
||||
! ilaggr(i)=j means that node i in the adjacency graph
|
||||
! of the fine-level matrix is mapped onto node j in the
|
||||
! adjacency graph of the coarse-level matrix. Note that on exit the indices
|
||||
! will be shifted so as to make sure the ranges on the various processes do not
|
||||
! overlap.
|
||||
! nlaggr - integer, dimension(:), allocatable.
|
||||
! nlaggr(i) contains the aggregates held by process i.
|
||||
! op_prol - type(psb_dspmat_type).
|
||||
! The tentative prolongator, based on ilaggr.
|
||||
!
|
||||
! info - integer, output.
|
||||
! Error code.
|
||||
!
|
||||
subroutine mld_d_bcmatch_map_to_tprol(desc_a,ilaggr,nlaggr,valaggr, op_prol,info)
|
||||
|
||||
use psb_base_mod
|
||||
use mld_d_inner_mod, mld_protect_name => mld_d_bcmatch_map_to_tprol
|
||||
|
||||
implicit none
|
||||
|
||||
! Arguments
|
||||
type(psb_desc_type), intent(in) :: desc_a
|
||||
integer(psb_ipk_), allocatable, intent(inout) :: ilaggr(:),nlaggr(:)
|
||||
real(psb_dpk_), allocatable, intent(inout) :: valaggr(:)
|
||||
type(psb_dspmat_type), intent(out) :: op_prol
|
||||
integer(psb_ipk_), intent(out) :: info
|
||||
|
||||
! Local variables
|
||||
integer(psb_ipk_) :: icnt,nlp,k,n,ia,isz,nr, naggr,i,j,m,naggrm1, naggrp1, ntaggr
|
||||
type(psb_d_coo_sparse_mat) :: tmpcoo
|
||||
integer(psb_ipk_) :: debug_level, debug_unit,err_act
|
||||
integer(psb_ipk_) :: ictxt,np,me
|
||||
integer(psb_ipk_) :: nrow, ncol, n_ne
|
||||
character(len=20) :: name, ch_err
|
||||
|
||||
if(psb_get_errstatus() /= 0) return
|
||||
info=psb_success_
|
||||
name = 'mld_d_bcmatch_map_to_tprol'
|
||||
call psb_erractionsave(err_act)
|
||||
debug_unit = psb_get_debug_unit()
|
||||
debug_level = psb_get_debug_level()
|
||||
!
|
||||
ictxt=desc_a%get_context()
|
||||
call psb_info(ictxt,me,np)
|
||||
nrow = desc_a%get_local_rows()
|
||||
ncol = desc_a%get_local_cols()
|
||||
|
||||
naggr = nlaggr(me+1)
|
||||
ntaggr = sum(nlaggr)
|
||||
naggrm1 = sum(nlaggr(1:me))
|
||||
naggrp1 = sum(nlaggr(1:me+1))
|
||||
ilaggr(1:nrow) = ilaggr(1:nrow) + naggrm1
|
||||
call psb_halo(ilaggr,desc_a,info)
|
||||
if (info /= psb_success_) then
|
||||
call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_halo')
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
call psb_halo(valaggr,desc_a,info)
|
||||
if (info /= psb_success_) then
|
||||
call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_halo')
|
||||
goto 9999
|
||||
end if
|
||||
|
||||
call tmpcoo%allocate(ncol,ntaggr,ncol)
|
||||
do i=1,ncol
|
||||
tmpcoo%val(i) = valaggr(i)
|
||||
tmpcoo%ia(i) = i
|
||||
tmpcoo%ja(i) = ilaggr(i)
|
||||
end do
|
||||
call tmpcoo%set_nzeros(ncol)
|
||||
call tmpcoo%set_dupl(psb_dupl_add_)
|
||||
call tmpcoo%set_sorted() ! At this point this is in row-major
|
||||
call op_prol%mv_from(tmpcoo)
|
||||
|
||||
call psb_erractionrestore(err_act)
|
||||
return
|
||||
|
||||
9999 call psb_error_handler(err_act)
|
||||
|
||||
return
|
||||
|
||||
end subroutine mld_d_bcmatch_map_to_tprol
|
Loading…
Reference in New Issue