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amg4psblas/mlprec/mld_s_as_smoother.f90

1005 lines
29 KiB
Fortran

!!$
!!$
!!$ MLD2P4 version 2.0
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
!!$
!!$ (C) Copyright 2008,2009,2010, 2010
!!$
!!$ Salvatore Filippone University of Rome Tor Vergata
!!$ Alfredo Buttari CNRS-IRIT, Toulouse
!!$ Pasqua D'Ambra ICAR-CNR, Naples
!!$ Daniela di Serafino Second University of Naples
!!$
!!$ 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.
!!$
!!$
!
!
!
!
!
!
module mld_s_as_smoother
use mld_s_prec_type
type, extends(mld_s_base_smoother_type) :: mld_s_as_smoother_type
! The local solver component is inherited from the
! parent type.
! class(mld_s_base_solver_type), allocatable :: sv
!
type(psb_sspmat_type) :: nd
type(psb_desc_type) :: desc_data
integer :: novr, restr, prol, nd_nnz_tot
contains
procedure, pass(sm) :: check => s_as_smoother_check
procedure, pass(sm) :: dump => s_as_smoother_dmp
procedure, pass(sm) :: build => s_as_smoother_bld
procedure, pass(sm) :: apply => s_as_smoother_apply
procedure, pass(sm) :: free => s_as_smoother_free
procedure, pass(sm) :: seti => s_as_smoother_seti
procedure, pass(sm) :: setc => s_as_smoother_setc
procedure, pass(sm) :: setr => s_as_smoother_setr
procedure, pass(sm) :: descr => s_as_smoother_descr
procedure, pass(sm) :: sizeof => s_as_smoother_sizeof
procedure, pass(sm) :: default => s_as_smoother_default
end type mld_s_as_smoother_type
private :: s_as_smoother_bld, s_as_smoother_apply, &
& s_as_smoother_free, s_as_smoother_seti, &
& s_as_smoother_setc, s_as_smoother_setr,&
& s_as_smoother_descr, s_as_smoother_sizeof, &
& s_as_smoother_check, s_as_smoother_default,&
& s_as_smoother_dmp
character(len=6), parameter, private :: &
& restrict_names(0:4)=(/'none ','halo ',' ',' ',' '/)
character(len=12), parameter, private :: &
& prolong_names(0:3)=(/'none ','sum ','average ','square root'/)
contains
subroutine s_as_smoother_default(sm)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
sm%restr = psb_halo_
sm%prol = psb_none_
sm%novr = 1
if (allocated(sm%sv)) then
call sm%sv%default()
end if
return
end subroutine s_as_smoother_default
subroutine s_as_smoother_check(sm,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='s_as_smoother_check'
call psb_erractionsave(err_act)
info = psb_success_
call mld_check_def(sm%restr,&
& 'Restrictor',psb_halo_,is_legal_restrict)
call mld_check_def(sm%prol,&
& 'Prolongator',psb_none_,is_legal_prolong)
call mld_check_def(sm%novr,&
& 'Overlap layers ',0,is_legal_n_ovr)
if (allocated(sm%sv)) then
call sm%sv%check(info)
else
info=3111
call psb_errpush(info,name)
goto 9999
end if
if (info /= psb_success_) goto 9999
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_check
subroutine s_as_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_sparse_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_as_smoother_type), intent(in) :: sm
real(psb_spk_),intent(inout) :: x(:)
real(psb_spk_),intent(inout) :: y(:)
real(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col, nrow_d, i
real(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me, err_act,isz,int_err(5)
character :: trans_
character(len=20) :: name='s_as_smoother_apply', ch_err
call psb_erractionsave(err_act)
info = psb_success_
ictxt = psb_cd_get_context(desc_data)
call psb_info (ictxt,me,np)
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T','C')
case default
call psb_errpush(psb_err_iarg_invalid_i_,name)
goto 9999
end select
if (.not.allocated(sm%sv)) then
info = 1121
call psb_errpush(info,name)
goto 9999
end if
n_row = psb_cd_get_local_rows(sm%desc_data)
n_col = psb_cd_get_local_cols(sm%desc_data)
nrow_d = psb_cd_get_local_rows(desc_data)
isz=max(n_row,N_COL)
if ((6*isz) <= size(work)) then
ww => work(1:isz)
tx => work(isz+1:2*isz)
ty => work(2*isz+1:3*isz)
aux => work(3*isz+1:)
else if ((4*isz) <= size(work)) then
aux => work(1:)
allocate(ww(isz),tx(isz),ty(isz),stat=info)
if (info /= psb_success_) then
call psb_errpush(psb_err_alloc_request_,name,i_err=(/3*isz,0,0,0,0/),&
& a_err='real(psb_spk_)')
goto 9999
end if
else if ((3*isz) <= size(work)) then
ww => work(1:isz)
tx => work(isz+1:2*isz)
ty => work(2*isz+1:3*isz)
allocate(aux(4*isz),stat=info)
if (info /= psb_success_) then
call psb_errpush(psb_err_alloc_request_,name,i_err=(/4*isz,0,0,0,0/),&
& a_err='real(psb_spk_)')
goto 9999
end if
else
allocate(ww(isz),tx(isz),ty(isz),&
&aux(4*isz),stat=info)
if (info /= psb_success_) then
call psb_errpush(psb_err_alloc_request_,name,i_err=(/4*isz,0,0,0,0/),&
& a_err='real(psb_spk_)')
goto 9999
end if
endif
if ((sm%novr == 0).and.(sweeps == 1)) then
!
! Shortcut: in this case it's just the same
! as Block Jacobi.
!
call sm%sv%apply(alpha,x,beta,y,desc_data,trans_,aux,info)
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,&
& a_err='Error in sub_aply Jacobi Sweeps = 1')
goto 9999
endif
else
tx(1:nrow_d) = x(1:nrow_d)
tx(nrow_d+1:isz) = szero
if (sweeps == 1) then
select case(trans_)
case('N')
!
! Get the overlap entries of tx (tx == x)
!
if (sm%restr == psb_halo_) then
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
else if (sm%restr /= psb_none_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_restr_')
goto 9999
end if
case('T','C')
!
! With transpose, we have to do it here
!
select case (sm%prol)
case(psb_none_)
!
! Do nothing
case(psb_sum_)
!
! The transpose of sum is halo
!
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
case(psb_avg_)
!
! Tricky one: first we have to scale the overlap entries,
! which we can do by assignind mode=0, i.e. no communication
! (hence only scaling), then we do the halo
!
call psb_ovrl(tx,sm%desc_data,info,&
& update=psb_avg_,work=aux,mode=0)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_prol_')
goto 9999
end select
case default
info=psb_err_iarg_invalid_i_
int_err(1)=6
ch_err(2:2)=trans
goto 9999
end select
call sm%sv%apply(sone,tx,szero,ty,sm%desc_data,trans_,aux,info)
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,&
& a_err='Error in sub_aply Jacobi Sweeps = 1')
goto 9999
endif
select case(trans_)
case('N')
select case (sm%prol)
case(psb_none_)
!
! Would work anyway, but since it is supposed to do nothing ...
! call psb_ovrl(ty,sm%desc_data,info,&
! & update=sm%prol,work=aux)
case(psb_sum_,psb_avg_)
!
! Update the overlap of ty
!
call psb_ovrl(ty,sm%desc_data,info,&
& update=sm%prol,work=aux)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_prol_')
goto 9999
end select
case('T','C')
!
! With transpose, we have to do it here
!
if (sm%restr == psb_halo_) then
call psb_ovrl(ty,sm%desc_data,info,&
& update=psb_sum_,work=aux)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
else if (sm%restr /= psb_none_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_restr_')
goto 9999
end if
case default
info=psb_err_iarg_invalid_i_
int_err(1)=6
ch_err(2:2)=trans
goto 9999
end select
else if (sweeps > 1) then
!
!
! Apply prec%iprcparm(mld_smoother_sweeps_) sweeps of a block-Jacobi solver
! to compute an approximate solution of a linear system.
!
!
ty = szero
do i=1, sweeps
select case(trans_)
case('N')
!
! Get the overlap entries of tx (tx == x)
!
if (sm%restr == psb_halo_) then
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
else if (sm%restr /= psb_none_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_restr_')
goto 9999
end if
case('T','C')
!
! With transpose, we have to do it here
!
select case (sm%prol)
case(psb_none_)
!
! Do nothing
case(psb_sum_)
!
! The transpose of sum is halo
!
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
case(psb_avg_)
!
! Tricky one: first we have to scale the overlap entries,
! which we can do by assignind mode=0, i.e. no communication
! (hence only scaling), then we do the halo
!
call psb_ovrl(tx,sm%desc_data,info,&
& update=psb_avg_,work=aux,mode=0)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
call psb_halo(tx,sm%desc_data,info,work=aux,data=psb_comm_ext_)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_halo'
goto 9999
end if
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_prol_')
goto 9999
end select
case default
info=psb_err_iarg_invalid_i_
int_err(1)=6
ch_err(2:2)=trans
goto 9999
end select
!
! Compute Y(j+1) = D^(-1)*(X-ND*Y(j)), where D and ND are the
! block diagonal part and the remaining part of the local matrix
! and Y(j) is the approximate solution at sweep j.
!
ww(1:n_row) = tx(1:n_row)
call psb_spmm(-sone,sm%nd,ty,sone,ww,sm%desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(sone,ww,szero,ty,sm%desc_data,trans_,aux,info)
if (info /= psb_success_) exit
select case(trans_)
case('N')
select case (sm%prol)
case(psb_none_)
!
! Would work anyway, but since it is supposed to do nothing ...
! call psb_ovrl(ty,sm%desc_data,info,&
! & update=sm%prol,work=aux)
case(psb_sum_,psb_avg_)
!
! Update the overlap of ty
!
call psb_ovrl(ty,sm%desc_data,info,&
& update=sm%prol,work=aux)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_prol_')
goto 9999
end select
case('T','C')
!
! With transpose, we have to do it here
!
if (sm%restr == psb_halo_) then
call psb_ovrl(ty,sm%desc_data,info,&
& update=psb_sum_,work=aux)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_ovrl'
goto 9999
end if
else if (sm%restr /= psb_none_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_restr_')
goto 9999
end if
case default
info=psb_err_iarg_invalid_i_
int_err(1)=6
ch_err(2:2)=trans
goto 9999
end select
end do
if (info /= psb_success_) then
info=psb_err_internal_error_
call psb_errpush(info,name,a_err='subsolve with Jacobi sweeps > 1')
goto 9999
end if
else
info = psb_err_iarg_neg_
call psb_errpush(info,name,&
& i_err=(/2,sweeps,0,0,0/))
goto 9999
end if
!
! Compute y = beta*y + alpha*ty (ty == K^(-1)*tx)
!
call psb_geaxpby(alpha,ty,beta,y,desc_data,info)
end if
if ((6*isz) <= size(work)) then
else if ((4*isz) <= size(work)) then
deallocate(ww,tx,ty)
else if ((3*isz) <= size(work)) then
deallocate(aux)
else
deallocate(ww,aux,tx,ty)
endif
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_apply
subroutine s_as_smoother_bld(a,desc_a,sm,upd,info)
use psb_sparse_mod
Implicit None
! Arguments
type(psb_sspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_s_as_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
! Local variables
type(psb_sspmat_type) :: blck, atmp
integer :: n_row,n_col, nrow_a, nhalo, novr, data_, nzeros
real(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='s_as_smoother_bld', ch_err
info=psb_success_
call psb_erractionsave(err_act)
debug_unit = psb_get_debug_unit()
debug_level = psb_get_debug_level()
ictxt = psb_cd_get_context(desc_a)
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
novr = sm%novr
if (novr < 0) then
info=psb_err_invalid_ovr_num_
call psb_errpush(info,name,i_err=(/novr,0,0,0,0,0/))
goto 9999
endif
if ((novr == 0).or.(np == 1)) then
if (psb_toupper(upd) == 'F') then
call psb_cdcpy(desc_a,sm%desc_data,info)
If(debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& ' done cdcpy'
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_cdcpy'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Early return: P>=3 N_OVR=0'
endif
call blck%csall(0,0,info,1)
else
If (psb_toupper(upd) == 'F') Then
!
! Build the auxiliary descriptor desc_p%matrix_data(psb_n_row_).
! This is done by psb_cdbldext (interface to psb_cdovr), which is
! independent of CSR, and has been placed in the tools directory
! of PSBLAS, instead of the mlprec directory of MLD2P4, because it
! might be used independently of the AS preconditioner, to build
! a descriptor for an extended stencil in a PDE solver.
!
call psb_cdbldext(a,desc_a,novr,sm%desc_data,info,extype=psb_ovt_asov_)
if(debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& ' From cdbldext _:',psb_cd_get_local_rows(sm%desc_data),&
& psb_cd_get_local_cols(sm%desc_data)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_cdbldext'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
Endif
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'Before sphalo '
!
! Retrieve the remote sparse matrix rows required for the AS extended
! matrix
data_ = psb_comm_ext_
Call psb_sphalo(a,sm%desc_data,blck,info,data=data_,rowscale=.true.)
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_sphalo'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (debug_level >=psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),&
& 'After psb_sphalo ',&
& blck%get_nrows(), blck%get_nzeros()
End if
if (info == psb_success_) &
& call sm%sv%build(a,sm%desc_data,upd,info,blck)
nrow_a = a%get_nrows()
n_row = psb_cd_get_local_rows(sm%desc_data)
n_col = psb_cd_get_local_cols(sm%desc_data)
if (info == psb_success_) call a%csclip(sm%nd,info,&
& jmin=nrow_a+1,rscale=.false.,cscale=.false.)
if (info == psb_success_) call blck%csclip(atmp,info,&
& jmin=nrow_a+1,rscale=.false.,cscale=.false.)
if (info == psb_success_) call psb_rwextd(n_row,sm%nd,info,b=atmp)
if (info == psb_success_) call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='clip & psb_spcnv csr 4')
goto 9999
end if
nzeros = sm%nd%get_nzeros()
!!$ write(0,*) me,' ND nzeors ',nzeros
call psb_sum(ictxt,nzeros)
sm%nd_nnz_tot = nzeros
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' end'
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_bld
subroutine s_as_smoother_seti(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
integer, intent(in) :: what
integer, intent(in) :: val
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='s_as_smoother_seti'
info = psb_success_
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
case(mld_sub_ovr_)
sm%novr = val
case(mld_sub_restr_)
sm%restr = val
case(mld_sub_prol_)
sm%prol = val
case default
if (allocated(sm%sv)) then
call sm%sv%set(what,val,info)
end if
end select
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_seti
subroutine s_as_smoother_setc(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
integer, intent(in) :: what
character(len=*), intent(in) :: val
integer, intent(out) :: info
Integer :: err_act, ival
character(len=20) :: name='s_as_smoother_setc'
info = psb_success_
call psb_erractionsave(err_act)
call mld_stringval(val,ival,info)
if (info == psb_success_) call sm%set(what,ival,info)
if (info /= psb_success_) then
info = psb_err_from_subroutine_
call psb_errpush(info, name)
goto 9999
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_setc
subroutine s_as_smoother_setr(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
integer, intent(in) :: what
real(psb_spk_), intent(in) :: val
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='s_as_smoother_setr'
call psb_erractionsave(err_act)
info = psb_success_
if (allocated(sm%sv)) then
call sm%sv%set(what,val,info)
else
!!$ write(0,*) trim(name),' Missing component, not setting!'
!!$ info = 1121
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_setr
subroutine s_as_smoother_free(sm,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(inout) :: sm
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='s_as_smoother_free'
call psb_erractionsave(err_act)
info = psb_success_
if (allocated(sm%sv)) then
call sm%sv%free(info)
if (info == psb_success_) deallocate(sm%sv,stat=info)
if (info /= psb_success_) then
info = psb_err_alloc_dealloc_
call psb_errpush(info,name)
goto 9999
end if
end if
call sm%nd%free()
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_free
subroutine s_as_smoother_descr(sm,info,iout,coarse)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_s_as_smoother_type), intent(in) :: sm
integer, intent(out) :: info
integer, intent(in), optional :: iout
logical, intent(in), optional :: coarse
! Local variables
integer :: err_act
integer :: ictxt, me, np
character(len=20), parameter :: name='mld_s_as_smoother_descr'
integer :: iout_
logical :: coarse_
call psb_erractionsave(err_act)
info = psb_success_
if (present(coarse)) then
coarse_ = coarse
else
coarse_ = .false.
end if
if (present(iout)) then
iout_ = iout
else
iout_ = 6
endif
if (.not.coarse_) then
write(iout_,*) ' Additive Schwarz with ',&
& sm%novr, ' overlap layers.'
write(iout_,*) ' Restrictor: ',restrict_names(sm%restr)
write(iout_,*) ' Prolongator: ',prolong_names(sm%prol)
write(iout_,*) ' Local solver:'
endif
if (allocated(sm%sv)) then
call sm%sv%descr(info,iout_,coarse=coarse)
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act == psb_act_abort_) then
call psb_error()
return
end if
return
end subroutine s_as_smoother_descr
function s_as_smoother_sizeof(sm) result(val)
use psb_sparse_mod
implicit none
! Arguments
class(mld_s_as_smoother_type), intent(in) :: sm
integer(psb_long_int_k_) :: val
integer :: i
val = psb_sizeof_int
if (allocated(sm%sv)) val = val + sm%sv%sizeof()
val = val + sm%nd%sizeof()
return
end function s_as_smoother_sizeof
subroutine s_as_smoother_dmp(sm,ictxt,level,info,prefix,head,smoother,solver)
use psb_sparse_mod
implicit none
class(mld_s_as_smoother_type), intent(in) :: sm
integer, intent(in) :: ictxt,level
integer, intent(out) :: info
character(len=*), intent(in), optional :: prefix, head
logical, optional, intent(in) :: smoother, solver
integer :: i, j, il1, iln, lname, lev
integer :: icontxt,iam, np
character(len=80) :: prefix_
character(len=120) :: fname ! len should be at least 20 more than
logical :: smoother_
! len of prefix_
info = 0
if (present(prefix)) then
prefix_ = trim(prefix(1:min(len(prefix),len(prefix_))))
else
prefix_ = "dump_smth_s"
end if
call psb_info(ictxt,iam,np)
if (present(smoother)) then
smoother_ = smoother
else
smoother_ = .false.
end if
lname = len_trim(prefix_)
fname = trim(prefix_)
write(fname(lname+1:lname+5),'(a,i3.3)') '_p',iam
lname = lname + 5
if (smoother_) then
write(fname(lname+1:),'(a,i3.3,a)')'_l',level,'_nd.mtx'
if (sm%nd%is_asb()) &
& call sm%nd%print(fname,head=head)
end if
! At base level do nothing for the smoother
if (allocated(sm%sv)) &
& call sm%sv%dump(ictxt,level,info,solver=solver)
end subroutine s_as_smoother_dmp
end module mld_s_as_smoother