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Moved BootCMatch interface to tests; to be reviewed later.

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stopcriterion
Salvatore Filippone 7 years ago
parent ef5256b3b4
commit 24988bcfc5
7 changed files with 741 additions and 2 deletions
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3
mlprec/Makefile
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@ -13,7 +13,8 @@ DMODOBJS=mld_d_prec_type.o mld_d_ilu_fact_mod.o \
mld_d_base_solver_mod.o mld_d_base_smoother_mod.o mld_d_onelev_mod.o \ mld_d_base_solver_mod.o mld_d_base_smoother_mod.o mld_d_onelev_mod.o \
mld_d_gs_solver.o mld_d_mumps_solver.o \ mld_d_gs_solver.o mld_d_mumps_solver.o \
mld_d_base_aggregator_mod.o mld_d_hybrid_aggregator_mod.o \ mld_d_base_aggregator_mod.o mld_d_hybrid_aggregator_mod.o \
mld_d_symdec_aggregator_mod.o mld_d_bcmatch_aggregator_mod.o mld_d_symdec_aggregator_mod.o
#mld_d_bcmatch_aggregator_mod.o
SMODOBJS=mld_s_prec_type.o mld_s_ilu_fact_mod.o \ SMODOBJS=mld_s_prec_type.o mld_s_ilu_fact_mod.o \
mld_s_inner_mod.o mld_s_ilu_solver.o mld_s_diag_solver.o mld_s_jac_smoother.o mld_s_as_smoother.o \ mld_s_inner_mod.o mld_s_ilu_solver.o mld_s_diag_solver.o mld_s_jac_smoother.o mld_s_as_smoother.o \

225
tests/Bcmatch/mld_d_bcmatch_aggregator_mat_asb.f90
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@ -0,0 +1,225 @@
!
!
! 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_base_aggregator_mat_asb.f90
!
! Subroutine: mld_d_base_aggregator_mat_asb
! Version: real
!
! This routine builds the matrix associated to the current level of the
! multilevel preconditioner from the matrix associated to the previous level,
! by using the user-specified aggregation technique (therefore, it also builds the
! prolongation and restriction operators mapping the current level to the
! previous one and vice versa).
! The current level is regarded as the coarse one, while the previous as
! the fine one. This is in agreement with the fact that the routine is called,
! by mld_mlprec_bld, only on levels >=2.
! The coarse-level matrix A_C is built from a fine-level matrix A
! by using the Galerkin approach, i.e.
!
! A_C = P_C^T A P_C,
!
! where P_C is a prolongator from the coarse level to the fine one.
!
! A mapping from the nodes of the adjacency graph of A to the nodes of the
! adjacency graph of A_C has been computed by the mld_aggrmap_bld subroutine.
! The prolongator P_C is built here from this mapping, according to the
! value of p%iprcparm(mld_aggr_kind_), specified by the user through
! mld_dprecinit and mld_zprecset.
! On output from this routine the entries of AC, op_prol, op_restr
! are still in "global numbering" mode; this is fixed in the calling routine
! mld_d_lev_aggrmat_asb.
!
! Currently four different prolongators are implemented, corresponding to
! four aggregation algorithms:
! 1. un-smoothed aggregation,
! 2. smoothed aggregation,
! 3. "bizarre" aggregation.
! 4. minimum energy
! 1. The non-smoothed aggregation uses as prolongator the piecewise constant
! interpolation operator corresponding to the fine-to-coarse level mapping built
! by p%aggr%bld_tprol. This is called tentative prolongator.
! 2. The smoothed aggregation uses as prolongator the operator obtained by applying
! a damped Jacobi smoother to the tentative prolongator.
! 3. The "bizarre" aggregation uses a prolongator proposed by the authors of MLD2P4.
! This prolongator still requires a deep analysis and testing and its use is
! not recommended.
! 4. Minimum energy aggregation
!
! For more details see
! M. Brezina and P. Vanek, A black-box iterative solver based on a two-level
! Schwarz method, Computing, 63 (1999), 233-263.
! 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.
! M. Sala, R. Tuminaro: A new Petrov-Galerkin smoothed aggregation preconditioner
! for nonsymmetric linear systems, SIAM J. Sci. Comput., 31(1):143-166 (2008)
!
!
! The main structure is:
! 1. Perform sanity checks;
! 2. Compute prolongator/restrictor/AC
!
!
! Arguments:
! ag - type(mld_d_base_aggregator_type), input/output.
! The aggregator object
! parms - type(mld_dml_parms), input
! The aggregation parameters
! 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.
! The 'one-level' data structure that will contain the local
! part of the matrix to be built as well as the information
! concerning the prolongator and its transpose.
! ilaggr - integer, dimension(:), input
! 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 the indices
! are assumed to be shifted so as to make sure the ranges on
! the various processes do not overlap.
! nlaggr - integer, dimension(:) input
! nlaggr(i) contains the aggregates held by process i.
! ac - type(psb_dspmat_type), output
! The coarse matrix on output
!
! op_prol - type(psb_dspmat_type), input/output
! The tentative prolongator on input, the computed prolongator on output
!
! op_restr - type(psb_dspmat_type), output
! The restrictor operator; normally, it is the transpose of the prolongator.
!
! info - integer, output.
! Error code.
!
subroutine mld_d_bcmatch_aggregator_mat_asb(ag,parms,a,desc_a,ilaggr,nlaggr,ac,op_prol,op_restr,info)
use psb_base_mod
use mld_d_inner_mod!, mld_protect_name => mld_d_base_aggregator_mat_asb
implicit none
class(mld_d_base_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_), intent(inout) :: ilaggr(:), nlaggr(:)
type(psb_dspmat_type), intent(inout) :: op_prol
type(psb_dspmat_type), intent(out) :: ac,op_restr
integer(psb_ipk_), intent(out) :: info
! Local variables
character(len=20) :: name
integer(psb_mpik_) :: ictxt, np, me
type(psb_d_coo_sparse_mat) :: acoo, bcoo
type(psb_d_csr_sparse_mat) :: acsr1
integer(psb_ipk_) :: nzl,ntaggr
integer(psb_ipk_) :: err_act
integer(psb_ipk_) :: debug_level, debug_unit
name='mld_d_base_aggregator_mat_asb'
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_
ictxt = desc_a%get_context()
call psb_info(ictxt,me,np)
call mld_check_def(parms%aggr_kind,'Smoother',&
& mld_smooth_prol_,is_legal_ml_aggr_kind)
call mld_check_def(parms%coarse_mat,'Coarse matrix',&
& mld_distr_mat_,is_legal_ml_coarse_mat)
call mld_check_def(parms%aggr_filter,'Use filtered matrix',&
& mld_no_filter_mat_,is_legal_aggr_filter)
call mld_check_def(parms%smoother_pos,'smooth_pos',&
& mld_pre_smooth_,is_legal_ml_smooth_pos)
call mld_check_def(parms%aggr_omega_alg,'Omega Alg.',&
& mld_eig_est_,is_legal_ml_aggr_omega_alg)
call mld_check_def(parms%aggr_eig,'Eigenvalue estimate',&
& mld_max_norm_,is_legal_ml_aggr_eig)
call mld_check_def(parms%aggr_omega_val,'Omega',dzero,is_legal_d_omega)
!
! Build the coarse-level matrix from the fine-level one, starting from
! the mapping defined by mld_aggrmap_bld and applying the aggregation
! algorithm specified by p%iprcparm(mld_aggr_kind_)
!
select case (parms%aggr_kind)
case (mld_no_smooth_)
call mld_daggrmat_unsmth_spmm_asb(a,desc_a,ilaggr,nlaggr,&
& parms,ac,op_prol,op_restr,info)
case(mld_smooth_prol_)
call mld_daggrmat_smth_asb(a,desc_a,ilaggr,nlaggr, &
& parms,ac,op_prol,op_restr,info)
case(mld_biz_prol_)
call mld_daggrmat_biz_asb(a,desc_a,ilaggr,nlaggr, &
& parms,ac,op_prol,op_restr,info)
case(mld_min_energy_)
call mld_daggrmat_minnrg_asb(a,desc_a,ilaggr,nlaggr, &
& parms,ac,op_prol,op_restr,info)
case default
info = psb_err_internal_error_
call psb_errpush(info,name,a_err='Invalid aggr kind')
goto 9999
end select
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='Inner aggrmat asb')
goto 9999
end if
call psb_erractionrestore(err_act)
return
9999 call psb_error_handler(err_act)
return
end subroutine mld_d_bcmatch_aggregator_mat_asb

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mlprec/mld_d_bcmatch_aggregator_mod.F90 → tests/Bcmatch/mld_d_bcmatch_aggregator_mod.F90
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355
tests/Bcmatch/mld_d_bcmatch_aggregator_tprol.f90
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!
!
! 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_aggregator_tprol.f90
!
! Subroutine: mld_d_bcmatch_aggregator_tprol
! Version: real
!
!
! This routine is mainly an interface to hyb_map_bld where the real work is performed.
! It takes care of some consistency checking, and calls map_to_tprol, which is
! refactored and shared among all the aggregation methods that produce a simple
! integer mapping.
!
!
! Arguments:
! p - type(mld_d_onelev_type), input/output.
! The 'one-level' data structure containing the control
! parameters and (eventually) coarse matrix and prolongator/restrictors.
!
! a - type(psb_dspmat_type).
! The sparse matrix structure containing the local part of the
! fine-level matrix.
! desc_a - type(psb_desc_type), input.
! The communication descriptor of a.
! ilaggr - integer, dimension(:), allocatable, output
! 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, output
! nlaggr(i) contains the aggregates held by process i.
! op_prol - type(psb_dspmat_type), output
! The tentative prolongator, based on ilaggr.
!
! info - integer, output.
! Error code.
!
module bcm_CSRMatrix_mod
use psb_base_mod
use psb_util_mod
use iso_c_binding
use bcm_csr_type_mod
implicit none
contains
subroutine MLD_to_CSR(a,csr_ia, csr_ja, csr_val, C, info)
type(psb_dspmat_type), intent(in) :: a
type(bcm_CSRMatrix), intent(out) :: C
real(c_double), allocatable, target, intent(out) :: csr_val(:)
integer(c_int), allocatable, target, intent(out) :: csr_ia(:), csr_ja(:)
!Local variable
character(len=20) :: name
integer(psb_ipk_) :: info
real(psb_dpk_), allocatable :: coo_val(:)
integer(psb_ipk_), allocatable :: coo_ia(:), coo_ja(:)
integer(psb_ipk_) :: x, nz, num_rows, num_cols , i , j, iad, k , k0
type(psb_d_csr_sparse_mat) :: acsr
name="MLD_to_CSR"
num_rows= a%get_nrows()
num_cols= a%get_ncols()
nz= a%get_nzeros()
call a%csgetrow(1,num_rows,nz,coo_ia,coo_ja,coo_val,info)
!allocate(csr_ia(0:nz-1), csr_ja(0:nz-1), csr_val(0:nz-1), STAT=info)
if (info /= psb_success_) then
info=psb_err_alloc_request_
call psb_errpush(info,name,i_err=(/nz,izero,izero,izero,izero/),&
& a_err='integer')
return
end if
call a%cp_to(acsr)
allocate(csr_ia(0:nz-1), csr_ja(0:nz-1), csr_val(0:nz-1), STAT=info)
csr_ia(0:min(nz,size(acsr%irp,1))-1)=acsr%irp(1:min(nz,size(acsr%irp,1)))-1
csr_ja(0:nz-1)=acsr%ja(1:nz)-1
csr_val(0:nz-1)=acsr%val(1:nz)
call acsr%free()
C%num_rows=num_rows
C%num_cols=num_cols
C%num_nonzeros=nz
C%owns_data=0
C%i=c_loc(csr_ia)
C%j=c_loc(csr_ja)
C%data=c_loc(csr_val)
end subroutine MLD_to_CSR
subroutine bcm_to_op_prol(P, ilaggr, valaggr, info)
type(bcm_CSRMatrix), intent(in) :: P
integer(psb_ipk_), allocatable, intent(out) :: ilaggr(:)
integer(psb_ipk_), intent(out) :: info
real(psb_dpk_), allocatable, intent(out) :: valaggr(:)
! Local variables
integer(psb_ipk_), pointer :: point_ia(:), point_ja(:)
real(psb_dpk_), pointer :: point_val(:)
integer(psb_ipk_) :: i, j, k
integer(psb_ipk_) :: n, num_rows, num_cols, num_nz
character(len=20) :: name
integer(c_int), allocatable, target :: coo_ia(:),coo_ja(:)
real(c_double), allocatable, target :: coo_val(:)
name="bcm_to_op_prol"
num_nz = P%num_nonzeros
num_rows = P%num_rows
num_cols = P%num_cols
call c_f_pointer(P%i,point_ia,(/num_rows+1/))
call c_f_pointer(P%j,point_ja,(/num_nz/))
call c_f_pointer(P%data,point_val,(/num_nz/))
!These are I, J, VAL.
!These are I, J, VAL.
if (allocated(coo_ia)) deallocate(coo_ia)
if (allocated(coo_ja)) deallocate(coo_ja)
if (allocated(coo_val)) deallocate(coo_val)
allocate(coo_ia(num_nz),coo_ja(num_nz),coo_val(num_nz), STAT=info)
!!$ write(0,*) num_rows,num_cols,num_nz,info,size(coo_val)
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
tests/Bcmatch/mld_d_bcmatch_map_bld.f90
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158
tests/Bcmatch/mld_d_bcmatch_map_to_tprol.f90
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@ -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

2
tests/pdegen/runs/mld_pde3d.inp
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@ -1,7 +1,7 @@
%%%%%%%%%%% General arguments % Lines starting with % are ignored. %%%%%%%%%%% General arguments % Lines starting with % are ignored.
CSR ! Storage format CSR COO JAD CSR ! Storage format CSR COO JAD
0080 ! IDIM; domain size. Linear system size is IDIM**3 0080 ! IDIM; domain size. Linear system size is IDIM**3
CG ! Iterative method: BiCGSTAB BiCGSTABL BiCG CG CGS FCG GCR RGMRES BICGSTAB ! Iterative method: BiCGSTAB BiCGSTABL BiCG CG CGS FCG GCR RGMRES
2 ! ISTOPC 2 ! ISTOPC
00500 ! ITMAX 00500 ! ITMAX
1 ! ITRACE 1 ! ITRACE

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