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Added row-preserving filtering

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repackage
Cirdans-Home 2 weeks ago
parent 13c99a0c3f
commit 53afa87814
5 changed files with 64 additions and 40 deletions
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8
amgprec/amg_base_prec_type.F90
Unescape Escape View File

@ -299,7 +299,8 @@ module amg_base_prec_type
! !
integer(psb_ipk_), parameter :: amg_no_filter_mat_ = 0 integer(psb_ipk_), parameter :: amg_no_filter_mat_ = 0
integer(psb_ipk_), parameter :: amg_filter_mat_ = 1 integer(psb_ipk_), parameter :: amg_filter_mat_ = 1
integer(psb_ipk_), parameter :: amg_max_filter_mat_ = amg_filter_mat_ integer(psb_ipk_), parameter :: amg_filter_prow_mat_ = 2
integer(psb_ipk_), parameter :: amg_max_filter_mat_ = amg_filter_prow_mat_
! !
! Legal values for entry: amg_aggr_ord_ ! Legal values for entry: amg_aggr_ord_
! !
@ -380,7 +381,8 @@ module amg_base_prec_type
& aggr_prols(0:4)=(/'unsmoothed ','smoothed ',& & aggr_prols(0:4)=(/'unsmoothed ','smoothed ',&
& 'l1-smoothed ','min energy ','bizr. smoothed'/) & 'l1-smoothed ','min energy ','bizr. smoothed'/)
character(len=15), parameter, private :: & character(len=15), parameter, private :: &
& aggr_filters(0:1)=(/'no filtering ','filtering '/) & aggr_filters(0:2)=(/'no filtering ','filtering ',&
& 'filtering rsum'/)
character(len=15), parameter, private :: & character(len=15), parameter, private :: &
& matrix_names(0:1)=(/'distributed ','replicated '/) & matrix_names(0:1)=(/'distributed ','replicated '/)
character(len=18), parameter, private :: & character(len=18), parameter, private :: &
@ -591,6 +593,8 @@ contains
val = amg_eig_est_ val = amg_eig_est_
case('FILTER') case('FILTER')
val = amg_filter_mat_ val = amg_filter_mat_
case('FILTERROWSUM')
val = amg_filter_prow_mat_
case('NOFILTER','NO_FILTER') case('NOFILTER','NO_FILTER')
val = amg_no_filter_mat_ val = amg_no_filter_mat_
case('OUTER_SWEEPS') case('OUTER_SWEEPS')

21
amgprec/impl/aggregator/amg_caggrmat_smth_bld.f90
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@ -110,6 +110,7 @@ subroutine amg_caggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
use amg_base_prec_type use amg_base_prec_type
use amg_c_inner_mod, amg_protect_name => amg_caggrmat_smth_bld use amg_c_inner_mod, amg_protect_name => amg_caggrmat_smth_bld
use amg_c_base_aggregator_mod use amg_c_base_aggregator_mod
! use, intrinsic :: ieee_arithmetic
implicit none implicit none
@ -192,7 +193,7 @@ subroutine amg_caggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
naggrm1 = sum(nlaggr(1:me)) naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1)) naggrp1 = sum(nlaggr(1:me+1))
filter_mat = (parms%aggr_filter == amg_filter_mat_) filter_mat = (parms%aggr_filter == amg_filter_mat_).or.(parms%aggr_filter == amg_filter_prow_mat_)
! !
! naggr: number of local aggregates ! naggr: number of local aggregates
@ -257,8 +258,13 @@ subroutine amg_caggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
if (jd == -1) then if (jd == -1) then
! if (.not.do_l1correction) ! if (.not.do_l1correction)
write(0,*) 'Wrong input: we need the diagonal!!!!', i write(0,*) 'Wrong input: we need the diagonal!!!!', i
else else if (parms%aggr_filter == amg_filter_mat_) then
! We perform filtering in the standard way assuming that A is an M-matrix
acsrf%val(jd)=acsrf%val(jd)-tmp acsrf%val(jd)=acsrf%val(jd)-tmp
else if (parms%aggr_filter == amg_filter_prow_mat_) then
! We are probably doing l1-correction, hence we want to preserve the
! row sum of the matrix: note the change in sign
acsrf%val(jd)=acsrf%val(jd)+tmp
end if end if
enddo enddo
!$OMP end parallel do !$OMP end parallel do
@ -266,7 +272,6 @@ subroutine amg_caggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
call acsrf%clean_zeros(info) call acsrf%clean_zeros(info)
end if end if
!$OMP parallel do private(i) schedule(static) !$OMP parallel do private(i) schedule(static)
do i=1,size(adiag) do i=1,size(adiag)
if (adiag(i) /= czero) then if (adiag(i) /= czero) then
@ -278,11 +283,11 @@ subroutine amg_caggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
!$OMP end parallel do !$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then if (parms%aggr_omega_alg == amg_eig_est_) then
!if (do_l1correction) then if ( (parms%aggr_filter == amg_filter_prow_mat_).and.(do_l1correction) ) then
! ! For l1-Jacobi this can be estimated with 1 ! For l1-Jacobi this can be estimated with 1:
! parms%aggr_omega_val = done ! this makes sense only if we are preserving the row-sum!
! parms%aggr_omega_val = done
if (parms%aggr_eig == amg_max_norm_) then else if (parms%aggr_eig == amg_max_norm_) then
allocate(arwsum(nrow)) allocate(arwsum(nrow))
call acsr%arwsum(arwsum) call acsr%arwsum(arwsum)
anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow))) anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow)))

21
amgprec/impl/aggregator/amg_daggrmat_smth_bld.f90
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@ -110,6 +110,7 @@ subroutine amg_daggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
use amg_base_prec_type use amg_base_prec_type
use amg_d_inner_mod, amg_protect_name => amg_daggrmat_smth_bld use amg_d_inner_mod, amg_protect_name => amg_daggrmat_smth_bld
use amg_d_base_aggregator_mod use amg_d_base_aggregator_mod
! use, intrinsic :: ieee_arithmetic
implicit none implicit none
@ -192,7 +193,7 @@ subroutine amg_daggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
naggrm1 = sum(nlaggr(1:me)) naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1)) naggrp1 = sum(nlaggr(1:me+1))
filter_mat = (parms%aggr_filter == amg_filter_mat_) filter_mat = (parms%aggr_filter == amg_filter_mat_).or.(parms%aggr_filter == amg_filter_prow_mat_)
! !
! naggr: number of local aggregates ! naggr: number of local aggregates
@ -257,8 +258,13 @@ subroutine amg_daggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
if (jd == -1) then if (jd == -1) then
! if (.not.do_l1correction) ! if (.not.do_l1correction)
write(0,*) 'Wrong input: we need the diagonal!!!!', i write(0,*) 'Wrong input: we need the diagonal!!!!', i
else else if (parms%aggr_filter == amg_filter_mat_) then
! We perform filtering in the standard way assuming that A is an M-matrix
acsrf%val(jd)=acsrf%val(jd)-tmp acsrf%val(jd)=acsrf%val(jd)-tmp
else if (parms%aggr_filter == amg_filter_prow_mat_) then
! We are probably doing l1-correction, hence we want to preserve the
! row sum of the matrix: note the change in sign
acsrf%val(jd)=acsrf%val(jd)+tmp
end if end if
enddo enddo
!$OMP end parallel do !$OMP end parallel do
@ -266,7 +272,6 @@ subroutine amg_daggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
call acsrf%clean_zeros(info) call acsrf%clean_zeros(info)
end if end if
!$OMP parallel do private(i) schedule(static) !$OMP parallel do private(i) schedule(static)
do i=1,size(adiag) do i=1,size(adiag)
if (adiag(i) /= dzero) then if (adiag(i) /= dzero) then
@ -278,11 +283,11 @@ subroutine amg_daggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
!$OMP end parallel do !$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then if (parms%aggr_omega_alg == amg_eig_est_) then
!if (do_l1correction) then if ( (parms%aggr_filter == amg_filter_prow_mat_).and.(do_l1correction) ) then
! ! For l1-Jacobi this can be estimated with 1 ! For l1-Jacobi this can be estimated with 1:
! parms%aggr_omega_val = done ! this makes sense only if we are preserving the row-sum!
! parms%aggr_omega_val = done
if (parms%aggr_eig == amg_max_norm_) then else if (parms%aggr_eig == amg_max_norm_) then
allocate(arwsum(nrow)) allocate(arwsum(nrow))
call acsr%arwsum(arwsum) call acsr%arwsum(arwsum)
anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow))) anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow)))

21
amgprec/impl/aggregator/amg_saggrmat_smth_bld.f90
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@ -110,6 +110,7 @@ subroutine amg_saggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
use amg_base_prec_type use amg_base_prec_type
use amg_s_inner_mod, amg_protect_name => amg_saggrmat_smth_bld use amg_s_inner_mod, amg_protect_name => amg_saggrmat_smth_bld
use amg_s_base_aggregator_mod use amg_s_base_aggregator_mod
! use, intrinsic :: ieee_arithmetic
implicit none implicit none
@ -192,7 +193,7 @@ subroutine amg_saggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
naggrm1 = sum(nlaggr(1:me)) naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1)) naggrp1 = sum(nlaggr(1:me+1))
filter_mat = (parms%aggr_filter == amg_filter_mat_) filter_mat = (parms%aggr_filter == amg_filter_mat_).or.(parms%aggr_filter == amg_filter_prow_mat_)
! !
! naggr: number of local aggregates ! naggr: number of local aggregates
@ -257,8 +258,13 @@ subroutine amg_saggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
if (jd == -1) then if (jd == -1) then
! if (.not.do_l1correction) ! if (.not.do_l1correction)
write(0,*) 'Wrong input: we need the diagonal!!!!', i write(0,*) 'Wrong input: we need the diagonal!!!!', i
else else if (parms%aggr_filter == amg_filter_mat_) then
! We perform filtering in the standard way assuming that A is an M-matrix
acsrf%val(jd)=acsrf%val(jd)-tmp acsrf%val(jd)=acsrf%val(jd)-tmp
else if (parms%aggr_filter == amg_filter_prow_mat_) then
! We are probably doing l1-correction, hence we want to preserve the
! row sum of the matrix: note the change in sign
acsrf%val(jd)=acsrf%val(jd)+tmp
end if end if
enddo enddo
!$OMP end parallel do !$OMP end parallel do
@ -266,7 +272,6 @@ subroutine amg_saggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
call acsrf%clean_zeros(info) call acsrf%clean_zeros(info)
end if end if
!$OMP parallel do private(i) schedule(static) !$OMP parallel do private(i) schedule(static)
do i=1,size(adiag) do i=1,size(adiag)
if (adiag(i) /= szero) then if (adiag(i) /= szero) then
@ -278,11 +283,11 @@ subroutine amg_saggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
!$OMP end parallel do !$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then if (parms%aggr_omega_alg == amg_eig_est_) then
!if (do_l1correction) then if ( (parms%aggr_filter == amg_filter_prow_mat_).and.(do_l1correction) ) then
! ! For l1-Jacobi this can be estimated with 1 ! For l1-Jacobi this can be estimated with 1:
! parms%aggr_omega_val = done ! this makes sense only if we are preserving the row-sum!
! parms%aggr_omega_val = done
if (parms%aggr_eig == amg_max_norm_) then else if (parms%aggr_eig == amg_max_norm_) then
allocate(arwsum(nrow)) allocate(arwsum(nrow))
call acsr%arwsum(arwsum) call acsr%arwsum(arwsum)
anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow))) anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow)))

21
amgprec/impl/aggregator/amg_zaggrmat_smth_bld.f90
Unescape Escape View File

@ -110,6 +110,7 @@ subroutine amg_zaggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
use amg_base_prec_type use amg_base_prec_type
use amg_z_inner_mod, amg_protect_name => amg_zaggrmat_smth_bld use amg_z_inner_mod, amg_protect_name => amg_zaggrmat_smth_bld
use amg_z_base_aggregator_mod use amg_z_base_aggregator_mod
! use, intrinsic :: ieee_arithmetic
implicit none implicit none
@ -192,7 +193,7 @@ subroutine amg_zaggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
naggrm1 = sum(nlaggr(1:me)) naggrm1 = sum(nlaggr(1:me))
naggrp1 = sum(nlaggr(1:me+1)) naggrp1 = sum(nlaggr(1:me+1))
filter_mat = (parms%aggr_filter == amg_filter_mat_) filter_mat = (parms%aggr_filter == amg_filter_mat_).or.(parms%aggr_filter == amg_filter_prow_mat_)
! !
! naggr: number of local aggregates ! naggr: number of local aggregates
@ -257,8 +258,13 @@ subroutine amg_zaggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
if (jd == -1) then if (jd == -1) then
! if (.not.do_l1correction) ! if (.not.do_l1correction)
write(0,*) 'Wrong input: we need the diagonal!!!!', i write(0,*) 'Wrong input: we need the diagonal!!!!', i
else else if (parms%aggr_filter == amg_filter_mat_) then
! We perform filtering in the standard way assuming that A is an M-matrix
acsrf%val(jd)=acsrf%val(jd)-tmp acsrf%val(jd)=acsrf%val(jd)-tmp
else if (parms%aggr_filter == amg_filter_prow_mat_) then
! We are probably doing l1-correction, hence we want to preserve the
! row sum of the matrix: note the change in sign
acsrf%val(jd)=acsrf%val(jd)+tmp
end if end if
enddo enddo
!$OMP end parallel do !$OMP end parallel do
@ -266,7 +272,6 @@ subroutine amg_zaggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
call acsrf%clean_zeros(info) call acsrf%clean_zeros(info)
end if end if
!$OMP parallel do private(i) schedule(static) !$OMP parallel do private(i) schedule(static)
do i=1,size(adiag) do i=1,size(adiag)
if (adiag(i) /= zzero) then if (adiag(i) /= zzero) then
@ -278,11 +283,11 @@ subroutine amg_zaggrmat_smth_bld(dol1smoothing,a,desc_a,ilaggr,nlaggr,&
!$OMP end parallel do !$OMP end parallel do
if (parms%aggr_omega_alg == amg_eig_est_) then if (parms%aggr_omega_alg == amg_eig_est_) then
!if (do_l1correction) then if ( (parms%aggr_filter == amg_filter_prow_mat_).and.(do_l1correction) ) then
! ! For l1-Jacobi this can be estimated with 1 ! For l1-Jacobi this can be estimated with 1:
! parms%aggr_omega_val = done ! this makes sense only if we are preserving the row-sum!
! parms%aggr_omega_val = done
if (parms%aggr_eig == amg_max_norm_) then else if (parms%aggr_eig == amg_max_norm_) then
allocate(arwsum(nrow)) allocate(arwsum(nrow))
call acsr%arwsum(arwsum) call acsr%arwsum(arwsum)
anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow))) anorm = maxval(abs(adiag(1:nrow)*arwsum(1:nrow)))

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