!!$
!!$
!!$ 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_z_jac_smoother
use mld_z_prec_type
type, extends(mld_z_base_smoother_type) :: mld_z_jac_smoother_type
! The local solver component is inherited from the
! parent type.
! class(mld_z_base_solver_type), allocatable :: sv
!
type(psb_zspmat_type) :: nd
integer :: nnz_nd_tot
contains
procedure, pass(sm) :: build => z_jac_smoother_bld
procedure, pass(sm) :: apply => z_jac_smoother_apply
procedure, pass(sm) :: free => z_jac_smoother_free
procedure, pass(sm) :: seti => z_jac_smoother_seti
procedure, pass(sm) :: setc => z_jac_smoother_setc
procedure, pass(sm) :: setr => z_jac_smoother_setr
procedure, pass(sm) :: descr => z_jac_smoother_descr
procedure, pass(sm) :: sizeof => z_jac_smoother_sizeof
end type mld_z_jac_smoother_type
private :: z_jac_smoother_bld, z_jac_smoother_apply, &
& z_jac_smoother_free, z_jac_smoother_seti, &
& z_jac_smoother_setc, z_jac_smoother_setr,&
& z_jac_smoother_descr, z_jac_smoother_sizeof
contains
subroutine z_jac_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_z_jac_smoother_type), intent(in) :: sm
complex(psb_dpk_),intent(in) :: x(:)
complex(psb_dpk_),intent(inout) :: y(:)
complex(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
complex(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='d_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
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(desc_data)
n_col = psb_cd_get_local_cols(desc_data)
if (n_col <= size(work)) then
ww => work(1:n_col)
if ((4*n_col+n_col) <= size(work)) then
aux => work(n_col+1:)
else
allocate(aux(4*n_col),stat=info)
if (info /= psb_success_) then
info=psb_err_alloc_request_
call psb_errpush(info,name,i_err=(/4*n_col,0,0,0,0/),&
& a_err='complex(psb_dpk_)')
goto 9999
end if
endif
else
allocate(ww(n_col),aux(4*n_col),stat=info)
if (info /= psb_success_) then
info=psb_err_alloc_request_
call psb_errpush(info,name,i_err=(/5*n_col,0,0,0,0/),&
& a_err='complex(psb_dpk_)')
goto 9999
end if
endif
if ((sweeps == 1).or.(sm%nnz_nd_tot==0)) then
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 if (sweeps > 1) then
!
!
! Apply multiple sweeps of a block-Jacobi solver
! to compute an approximate solution of a linear system.
!
!
allocate(tx(n_col),ty(n_col),stat=info)
if (info /= psb_success_) then
info=psb_err_alloc_request_
call psb_errpush(info,name,i_err=(/2*n_col,0,0,0,0/),&
& a_err='complex(psb_dpk_)')
goto 9999
end if
tx = zzero
ty = zzero
do i=1, sweeps
!
! 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.
!
ty(1:n_row) = x(1:n_row)
call psb_spmm(-zone,sm%nd,tx,zone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(zone,ty,zzero,tx,desc_data,trans_,aux,info)
if (info /= psb_success_) exit
end do
if (info == psb_success_) call psb_geaxpby(alpha,tx,beta,y,desc_data,info)
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
deallocate(tx,ty,stat=info)
if (info /= psb_success_) then
info=psb_err_internal_error_
call psb_errpush(info,name,a_err='final cleanup 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
endif
if (n_col <= size(work)) then
if ((4*n_col+n_col) <= size(work)) then
else
deallocate(aux)
endif
else
deallocate(ww,aux)
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 z_jac_smoother_apply
subroutine z_jac_smoother_bld(a,desc_a,sm,upd,info)
use psb_sparse_mod
use mld_z_diag_solver
Implicit None
! Arguments
type(psb_zspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_z_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
! Local variables
integer :: n_row,n_col, nrow_a, nztota, nzeros
complex(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='d_jac_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'
n_row = psb_cd_get_local_rows(desc_a)
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_z_diag_solver_type)
call a%clip_diag(sm%nd,info)
class default
call a%csclip(sm%nd,info,&
& jmin=nrow_a+1,rscale=.false.,cscale=.false.)
end select
if (info == psb_success_) call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
if (info == psb_success_) &
& call sm%sv%build(a,desc_a,upd,info)
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()
call psb_sum(ictxt,nzeros)
sm%nnz_nd_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 z_jac_smoother_bld
subroutine z_jac_smoother_seti(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_z_jac_smoother_type), intent(inout) :: sm
integer, intent(in) :: what
integer, intent(in) :: val
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='d_jac_smoother_seti'
info = psb_success_
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
case default
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
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 z_jac_smoother_seti
subroutine z_jac_smoother_setc(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_z_jac_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='d_jac_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 z_jac_smoother_setc
subroutine z_jac_smoother_setr(sm,what,val,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_z_jac_smoother_type), intent(inout) :: sm
integer, intent(in) :: what
real(psb_dpk_), intent(in) :: val
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='d_jac_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 z_jac_smoother_setr
subroutine z_jac_smoother_free(sm,info)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_z_jac_smoother_type), intent(inout) :: sm
integer, intent(out) :: info
Integer :: err_act
character(len=20) :: name='d_jac_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 z_jac_smoother_free
subroutine z_jac_smoother_descr(sm,info,iout)
use psb_sparse_mod
Implicit None
! Arguments
class(mld_z_jac_smoother_type), intent(in) :: sm
integer, intent(out) :: info
integer, intent(in), optional :: iout
! Local variables
integer :: err_act
integer :: ictxt, me, np
character(len=20), parameter :: name='mld_z_jac_smoother_descr'
integer :: iout_
call psb_erractionsave(err_act)
info = psb_success_
if (present(iout)) then
iout_ = iout
else
iout_ = 6
endif
write(iout_,*) ' Block Jacobi smoother '
write(iout_,*) ' Local solver:'
if (allocated(sm%sv)) then
call sm%sv%descr(info,iout_)
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 z_jac_smoother_descr
function z_jac_smoother_sizeof(sm) result(val)
use psb_sparse_mod
implicit none
! Arguments
class(mld_z_jac_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 z_jac_smoother_sizeof
end module mld_z_jac_smoother