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mld2p4-2:

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mlprec/impl/Makefile
 mlprec/impl/mld_c_jac_smoother_impl.f90
 mlprec/impl/mld_d_jac_smoother_impl.f90
 mlprec/impl/mld_daggrmat_minnrg_asb.F90
 mlprec/impl/mld_s_jac_smoother_impl.f90
 mlprec/impl/mld_z_jac_smoother_impl.f90
 mlprec/mld_c_as_smoother.f90
 mlprec/mld_c_base_solver_mod.f90
 mlprec/mld_c_jac_smoother.f90
 mlprec/mld_c_prec_type.f90
 mlprec/mld_d_as_smoother.f90
 mlprec/mld_d_base_solver_mod.f90
 mlprec/mld_d_jac_smoother.f90
 mlprec/mld_d_prec_type.f90
 mlprec/mld_s_as_smoother.f90
 mlprec/mld_s_base_solver_mod.f90
 mlprec/mld_s_jac_smoother.f90
 mlprec/mld_s_prec_type.f90
 mlprec/mld_z_as_smoother.f90
 mlprec/mld_z_base_solver_mod.f90
 mlprec/mld_z_jac_smoother.f90
 mlprec/mld_z_prec_type.f90
 tests/pdegen/runs/ppde.inp


Further work on split of preconditioners into
interface/implementation.
This commit is contained in:
Salvatore Filippone
2012-01-03 15:59:21 +00:00
parent 977bd08c4a
commit 849e8b143c
23 changed files with 1990 additions and 1690 deletions
Download Patch File Download Diff File Expand all files Collapse all files
mlprec/impl/Makefile
+4 -4
View File
@@ -25,25 +25,25 @@ DINNEROBJS= mld_dcoarse_bld.o mld_dmlprec_bld.o \
mld_dilu0_fact.o mld_diluk_fact.o mld_dilut_fact.o mld_daggrmap_bld.o \
mld_d_dec_map_bld.o mld_dmlprec_aply.o mld_daggrmat_asb.o \
$(DMPFOBJS) mld_d_base_solver_impl.o mld_d_base_smoother_impl.o mld_d_onelev_impl.o\
mld_d_as_smoother_impl.o
mld_d_as_smoother_impl.o mld_d_jac_smoother_impl.o
SINNEROBJS= mld_scoarse_bld.o mld_smlprec_bld.o \
mld_silu0_fact.o mld_siluk_fact.o mld_silut_fact.o mld_saggrmap_bld.o \
mld_s_dec_map_bld.o mld_smlprec_aply.o mld_saggrmat_asb.o \
$(SMPFOBJS) mld_s_base_solver_impl.o mld_s_base_smoother_impl.o mld_s_onelev_impl.o\
mld_s_as_smoother_impl.o
mld_s_as_smoother_impl.o mld_s_jac_smoother_impl.o
ZINNEROBJS= mld_zcoarse_bld.o mld_zmlprec_bld.o \
mld_zilu0_fact.o mld_ziluk_fact.o mld_zilut_fact.o mld_zaggrmap_bld.o \
mld_z_dec_map_bld.o mld_zmlprec_aply.o mld_zaggrmat_asb.o \
$(ZMPFOBJS) mld_z_base_solver_impl.o mld_z_base_smoother_impl.o mld_z_onelev_impl.o\
mld_z_as_smoother_impl.o
mld_z_as_smoother_impl.o mld_z_jac_smoother_impl.o
CINNEROBJS= mld_ccoarse_bld.o mld_cmlprec_bld.o \
mld_cilu0_fact.o mld_ciluk_fact.o mld_cilut_fact.o mld_caggrmap_bld.o \
mld_c_dec_map_bld.o mld_cmlprec_aply.o mld_caggrmat_asb.o \
$(CMPFOBJS) mld_c_base_solver_impl.o mld_c_base_smoother_impl.o mld_c_onelev_impl.o\
mld_c_as_smoother_impl.o
mld_c_as_smoother_impl.o mld_c_jac_smoother_impl.o
INNEROBJS= $(SINNEROBJS) $(DINNEROBJS) $(CINNEROBJS) $(ZINNEROBJS)
mlprec/impl/mld_c_jac_smoother_impl.f90
+433
View File
@@ -0,0 +1,433 @@
!!$
!!$
!!$ 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.
!!$
!!$
!
!
!
!
subroutine mld_c_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_c_jac_smoother, mld_protect_name => mld_c_jac_smoother_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(inout) :: sm
type(psb_c_vect_type),intent(inout) :: x
type(psb_c_vect_type),intent(inout) :: y
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
type(psb_c_vect_type) :: tx, ty
complex(psb_spk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='c_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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_spk_)')
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_spk_)')
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(czero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(cone,x,czero,ty,desc_data,info)
call psb_spmm(-cone,sm%nd,tx,cone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(cone,ty,czero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 mld_c_jac_smoother_apply_vect
subroutine mld_c_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_c_jac_smoother, mld_protect_name => mld_c_jac_smoother_apply
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(in) :: sm
complex(psb_spk_),intent(inout) :: x(:)
complex(psb_spk_),intent(inout) :: y(:)
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
complex(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='c_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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_spk_)')
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_spk_)')
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_spk_)')
goto 9999
end if
tx = czero
ty = czero
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(-cone,sm%nd,tx,cone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(cone,ty,czero,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 mld_c_jac_smoother_apply
subroutine mld_c_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_c_diag_solver
use mld_c_jac_smoother, mld_protect_name => mld_c_jac_smoother_bld
Implicit None
! Arguments
type(psb_cspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_c_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_c_base_sparse_mat), intent(in), optional :: amold
class(psb_c_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, nzeros
complex(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='c_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_c_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 mld_c_jac_smoother_bld
mlprec/impl/mld_d_jac_smoother_impl.f90
+433
View File
@@ -0,0 +1,433 @@
!!$
!!$
!!$ 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.
!!$
!!$
!
!
!
!
subroutine mld_d_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_d_jac_smoother, mld_protect_name => mld_d_jac_smoother_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(inout) :: sm
type(psb_d_vect_type),intent(inout) :: x
type(psb_d_vect_type),intent(inout) :: y
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
type(psb_d_vect_type) :: tx, ty
real(psb_dpk_), pointer :: ww(:), aux(:)
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')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(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='real(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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(dzero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(done,x,dzero,ty,desc_data,info)
call psb_spmm(-done,sm%nd,tx,done,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(done,ty,dzero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 mld_d_jac_smoother_apply_vect
subroutine mld_d_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_d_jac_smoother, mld_protect_name => mld_d_jac_smoother_apply
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(in) :: sm
real(psb_dpk_),intent(inout) :: x(:)
real(psb_dpk_),intent(inout) :: y(:)
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
real(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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(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='real(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='real(psb_dpk_)')
goto 9999
end if
tx = dzero
ty = dzero
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(-done,sm%nd,tx,done,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(done,ty,dzero,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 mld_d_jac_smoother_apply
subroutine mld_d_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_d_diag_solver
use mld_d_jac_smoother, mld_protect_name => mld_d_jac_smoother_bld
Implicit None
! Arguments
type(psb_dspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_d_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_d_base_sparse_mat), intent(in), optional :: amold
class(psb_d_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, nzeros
real(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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_d_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 mld_d_jac_smoother_bld
mlprec/impl/mld_daggrmat_minnrg_asb.F90
+5 -1
View File
@@ -249,10 +249,14 @@ subroutine mld_daggrmat_minnrg_asb(a,desc_a,ilaggr,nlaggr,p,info)
call dap%clone(atmp,info)
call psb_sphalo(atmp,desc_a,am4,info,&
if (info == psb_success_) call psb_sphalo(atmp,desc_a,am4,info,&
& colcnv=.false.,rowscale=.true.,outfmt='CSR ')
if (info == psb_success_) call psb_rwextd(ncol,atmp,info,b=am4)
if (info == psb_success_) call am4%free()
if(info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='sphalo 2')
goto 9999
end if
call psb_symbmm(da,atmp,dadap,info)
call psb_numbmm(da,atmp,dadap)
mlprec/impl/mld_s_jac_smoother_impl.f90
+433
View File
@@ -0,0 +1,433 @@
!!$
!!$
!!$ 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.
!!$
!!$
!
!
!
!
subroutine mld_s_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_s_jac_smoother, mld_protect_name => mld_s_jac_smoother_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_smoother_type), intent(inout) :: sm
type(psb_s_vect_type),intent(inout) :: x
type(psb_s_vect_type),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
type(psb_s_vect_type) :: tx, ty
real(psb_spk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='s_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(psb_spk_)')
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='real(psb_spk_)')
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(szero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(sone,x,szero,ty,desc_data,info)
call psb_spmm(-sone,sm%nd,tx,sone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(sone,ty,szero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 mld_s_jac_smoother_apply_vect
subroutine mld_s_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_s_jac_smoother, mld_protect_name => mld_s_jac_smoother_apply
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_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
real(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='s_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(psb_spk_)')
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='real(psb_spk_)')
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='real(psb_spk_)')
goto 9999
end if
tx = szero
ty = szero
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(-sone,sm%nd,tx,sone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(sone,ty,szero,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 mld_s_jac_smoother_apply
subroutine mld_s_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_s_diag_solver
use mld_s_jac_smoother, mld_protect_name => mld_s_jac_smoother_bld
Implicit None
! Arguments
type(psb_sspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_s_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_s_base_sparse_mat), intent(in), optional :: amold
class(psb_s_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, 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_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_s_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 mld_s_jac_smoother_bld
mlprec/impl/mld_z_jac_smoother_impl.f90
+433
View File
@@ -0,0 +1,433 @@
!!$
!!$
!!$ 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.
!!$
!!$
!
!
!
!
subroutine mld_z_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_z_jac_smoother, mld_protect_name => mld_z_jac_smoother_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(inout) :: sm
type(psb_z_vect_type),intent(inout) :: x
type(psb_z_vect_type),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
type(psb_z_vect_type) :: tx, ty
complex(psb_dpk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='z_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(zzero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(zone,x,zzero,ty,desc_data,info)
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
call tx%free(info)
if (info == psb_success_) call ty%free(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 mld_z_jac_smoother_apply_vect
subroutine mld_z_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
use mld_z_jac_smoother, mld_protect_name => mld_z_jac_smoother_apply
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(in) :: sm
complex(psb_dpk_),intent(inout) :: 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='z_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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 mld_z_jac_smoother_apply
subroutine mld_z_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_z_diag_solver
use mld_z_jac_smoother, mld_protect_name => mld_z_jac_smoother_bld
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
class(psb_z_base_sparse_mat), intent(in), optional :: amold
class(psb_z_base_vect_type), intent(in), optional :: vmold
! 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='z_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 mld_z_jac_smoother_bld
mlprec/mld_c_as_smoother.f90
-2
View File
@@ -243,8 +243,6 @@ contains
subroutine c_as_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
! Arguments
mlprec/mld_c_base_solver_mod.f90
+2
View File
@@ -55,6 +55,8 @@ module mld_c_base_solver_mod
use mld_base_prec_type
use psb_base_mod, only : psb_desc_type, psb_cspmat_type, psb_long_int_k_, &
& psb_sizeof, psb_free, psb_cdfree, psb_errpush, psb_act_abort_,&
& psb_erractionsave, psb_erractionrestore, psb_error, psb_get_errstatus, psb_success_,&
& psb_c_vect_type, psb_c_base_vect_type, psb_c_base_sparse_mat, psb_spk_
!
!
mlprec/mld_c_jac_smoother.f90
+56 -412
View File
@@ -54,9 +54,9 @@ module mld_c_jac_smoother
type(psb_cspmat_type) :: nd
integer :: nnz_nd_tot
contains
procedure, pass(sm) :: build => c_jac_smoother_bld
procedure, pass(sm) :: apply_v => c_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => c_jac_smoother_apply
procedure, pass(sm) :: build => mld_c_jac_smoother_bld
procedure, pass(sm) :: apply_v => mld_c_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => mld_c_jac_smoother_apply
procedure, pass(sm) :: free => c_jac_smoother_free
procedure, pass(sm) :: seti => c_jac_smoother_seti
procedure, pass(sm) :: setc => c_jac_smoother_setc
@@ -67,408 +67,63 @@ module mld_c_jac_smoother
end type mld_c_jac_smoother_type
private :: c_jac_smoother_bld, c_jac_smoother_apply, &
& c_jac_smoother_free, c_jac_smoother_seti, &
private :: c_jac_smoother_free, c_jac_smoother_seti, &
& c_jac_smoother_setc, c_jac_smoother_setr,&
& c_jac_smoother_descr, c_jac_smoother_sizeof, &
& c_jac_smoother_apply_vect, c_jac_smoother_get_nzeros
& c_jac_smoother_get_nzeros
interface mld_c_jac_smoother_apply_vect
subroutine mld_c_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_c_jac_smoother_type, psb_c_vect_type, psb_spk_, &
& psb_cspmat_type, psb_c_base_sparse_mat, psb_c_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(inout) :: sm
type(psb_c_vect_type),intent(inout) :: x
type(psb_c_vect_type),intent(inout) :: y
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
end subroutine mld_c_jac_smoother_apply_vect
end interface mld_c_jac_smoother_apply_vect
interface mld_c_jac_smoother_apply
subroutine mld_c_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_c_jac_smoother_type, psb_c_vect_type, psb_spk_, &
& psb_cspmat_type, psb_c_base_sparse_mat, psb_c_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(in) :: sm
complex(psb_spk_),intent(inout) :: x(:)
complex(psb_spk_),intent(inout) :: y(:)
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
end subroutine mld_c_jac_smoother_apply
end interface mld_c_jac_smoother_apply
interface mld_c_jac_smoother_bld
subroutine mld_c_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
import :: psb_desc_type, mld_c_jac_smoother_type, psb_c_vect_type, psb_spk_, &
& psb_cspmat_type, psb_c_base_sparse_mat, psb_c_base_vect_type
type(psb_cspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_c_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_c_base_sparse_mat), intent(in), optional :: amold
class(psb_c_base_vect_type), intent(in), optional :: vmold
end subroutine mld_c_jac_smoother_bld
end interface mld_c_jac_smoother_bld
contains
subroutine c_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(inout) :: sm
type(psb_c_vect_type),intent(inout) :: x
type(psb_c_vect_type),intent(inout) :: y
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
type(psb_c_vect_type) :: tx, ty
complex(psb_spk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='c_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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_spk_)')
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_spk_)')
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(czero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(cone,x,czero,ty,desc_data,info)
call psb_spmm(-cone,sm%nd,tx,cone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(cone,ty,czero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 c_jac_smoother_apply_vect
subroutine c_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_c_jac_smoother_type), intent(in) :: sm
complex(psb_spk_),intent(inout) :: x(:)
complex(psb_spk_),intent(inout) :: y(:)
complex(psb_spk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
complex(psb_spk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
complex(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='c_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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_spk_)')
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_spk_)')
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_spk_)')
goto 9999
end if
tx = czero
ty = czero
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(-cone,sm%nd,tx,cone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(cone,ty,czero,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 c_jac_smoother_apply
subroutine c_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_c_diag_solver
Implicit None
! Arguments
type(psb_cspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_c_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_c_base_sparse_mat), intent(in), optional :: amold
class(psb_c_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, nzeros
complex(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='c_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_c_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 c_jac_smoother_bld
subroutine c_jac_smoother_seti(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -483,14 +138,11 @@ contains
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
! !$ 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
@@ -508,8 +160,6 @@ contains
subroutine c_jac_smoother_setc(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -546,7 +196,6 @@ contains
subroutine c_jac_smoother_setr(sm,what,val,info)
use psb_base_mod
Implicit None
@@ -564,9 +213,6 @@ contains
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)
@@ -583,7 +229,6 @@ contains
subroutine c_jac_smoother_free(sm,info)
use psb_base_mod
Implicit None
@@ -623,7 +268,6 @@ contains
subroutine c_jac_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
@@ -674,7 +318,7 @@ contains
end subroutine c_jac_smoother_descr
function c_jac_smoother_sizeof(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_c_jac_smoother_type), intent(in) :: sm
@@ -689,7 +333,7 @@ contains
end function c_jac_smoother_sizeof
function c_jac_smoother_get_nzeros(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_c_jac_smoother_type), intent(in) :: sm
mlprec/mld_c_prec_type.f90
+4 -7
View File
@@ -117,9 +117,8 @@ module mld_c_prec_type
interface mld_precaply
subroutine mld_cprecaply_vect(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_cspmat_type, psb_desc_type, &
& psb_spk_, psb_c_vect_type
import mld_cprec_type
import :: psb_cspmat_type, psb_desc_type, &
& psb_spk_, psb_c_vect_type, mld_cprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_cprec_type), intent(inout) :: prec
type(psb_c_vect_type),intent(inout) :: x
@@ -129,8 +128,7 @@ module mld_c_prec_type
complex(psb_spk_),intent(inout), optional, target :: work(:)
end subroutine mld_cprecaply_vect
subroutine mld_cprecaply(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_cspmat_type, psb_desc_type, psb_spk_
import mld_cprec_type
import :: psb_cspmat_type, psb_desc_type, psb_spk_, mld_cprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_cprec_type), intent(in) :: prec
complex(psb_spk_),intent(inout) :: x(:)
@@ -140,8 +138,7 @@ module mld_c_prec_type
complex(psb_spk_),intent(inout), optional, target :: work(:)
end subroutine mld_cprecaply
subroutine mld_cprecaply1(prec,x,desc_data,info,trans)
use psb_base_mod, only : psb_cspmat_type, psb_desc_type, psb_spk_
import mld_cprec_type
import :: psb_cspmat_type, psb_desc_type, psb_spk_, mld_cprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_cprec_type), intent(in) :: prec
complex(psb_spk_),intent(inout) :: x(:)
mlprec/mld_d_as_smoother.f90
-2
View File
@@ -243,8 +243,6 @@ contains
subroutine d_as_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
! Arguments
mlprec/mld_d_base_solver_mod.f90
+2
View File
@@ -55,6 +55,8 @@ module mld_d_base_solver_mod
use mld_base_prec_type
use psb_base_mod, only : psb_desc_type, psb_dspmat_type, psb_long_int_k_, &
& psb_sizeof, psb_free, psb_cdfree, psb_errpush, psb_act_abort_,&
& psb_erractionsave, psb_erractionrestore, psb_error, psb_get_errstatus, psb_success_,&
& psb_d_vect_type, psb_d_base_vect_type, psb_d_base_sparse_mat, psb_dpk_
!
!
mlprec/mld_d_jac_smoother.f90
+56 -412
View File
@@ -54,9 +54,9 @@ module mld_d_jac_smoother
type(psb_dspmat_type) :: nd
integer :: nnz_nd_tot
contains
procedure, pass(sm) :: build => d_jac_smoother_bld
procedure, pass(sm) :: apply_v => d_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => d_jac_smoother_apply
procedure, pass(sm) :: build => mld_d_jac_smoother_bld
procedure, pass(sm) :: apply_v => mld_d_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => mld_d_jac_smoother_apply
procedure, pass(sm) :: free => d_jac_smoother_free
procedure, pass(sm) :: seti => d_jac_smoother_seti
procedure, pass(sm) :: setc => d_jac_smoother_setc
@@ -67,408 +67,63 @@ module mld_d_jac_smoother
end type mld_d_jac_smoother_type
private :: d_jac_smoother_bld, d_jac_smoother_apply, &
& d_jac_smoother_free, d_jac_smoother_seti, &
private :: d_jac_smoother_free, d_jac_smoother_seti, &
& d_jac_smoother_setc, d_jac_smoother_setr,&
& d_jac_smoother_descr, d_jac_smoother_sizeof, &
& d_jac_smoother_apply_vect, d_jac_smoother_get_nzeros
& d_jac_smoother_get_nzeros
interface mld_d_jac_smoother_apply_vect
subroutine mld_d_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_d_jac_smoother_type, psb_d_vect_type, psb_dpk_, &
& psb_dspmat_type, psb_d_base_sparse_mat, psb_d_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(inout) :: sm
type(psb_d_vect_type),intent(inout) :: x
type(psb_d_vect_type),intent(inout) :: y
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
end subroutine mld_d_jac_smoother_apply_vect
end interface mld_d_jac_smoother_apply_vect
interface mld_d_jac_smoother_apply
subroutine mld_d_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_d_jac_smoother_type, psb_d_vect_type, psb_dpk_, &
& psb_dspmat_type, psb_d_base_sparse_mat, psb_d_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(in) :: sm
real(psb_dpk_),intent(inout) :: x(:)
real(psb_dpk_),intent(inout) :: y(:)
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
end subroutine mld_d_jac_smoother_apply
end interface mld_d_jac_smoother_apply
interface mld_d_jac_smoother_bld
subroutine mld_d_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
import :: psb_desc_type, mld_d_jac_smoother_type, psb_d_vect_type, psb_dpk_, &
& psb_dspmat_type, psb_d_base_sparse_mat, psb_d_base_vect_type
type(psb_dspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_d_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_d_base_sparse_mat), intent(in), optional :: amold
class(psb_d_base_vect_type), intent(in), optional :: vmold
end subroutine mld_d_jac_smoother_bld
end interface mld_d_jac_smoother_bld
contains
subroutine d_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(inout) :: sm
type(psb_d_vect_type),intent(inout) :: x
type(psb_d_vect_type),intent(inout) :: y
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
type(psb_d_vect_type) :: tx, ty
real(psb_dpk_), pointer :: ww(:), aux(:)
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')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(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='real(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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(dzero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(done,x,dzero,ty,desc_data,info)
call psb_spmm(-done,sm%nd,tx,done,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(done,ty,dzero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 d_jac_smoother_apply_vect
subroutine d_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_jac_smoother_type), intent(in) :: sm
real(psb_dpk_),intent(inout) :: x(:)
real(psb_dpk_),intent(inout) :: y(:)
real(psb_dpk_),intent(in) :: alpha,beta
character(len=1),intent(in) :: trans
integer, intent(in) :: sweeps
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
real(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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(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='real(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='real(psb_dpk_)')
goto 9999
end if
tx = dzero
ty = dzero
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(-done,sm%nd,tx,done,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(done,ty,dzero,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 d_jac_smoother_apply
subroutine d_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_d_diag_solver
Implicit None
! Arguments
type(psb_dspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_d_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_d_base_sparse_mat), intent(in), optional :: amold
class(psb_d_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, nzeros
real(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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_d_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 d_jac_smoother_bld
subroutine d_jac_smoother_seti(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -483,14 +138,11 @@ contains
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
! !$ 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
@@ -508,8 +160,6 @@ contains
subroutine d_jac_smoother_setc(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -546,7 +196,6 @@ contains
subroutine d_jac_smoother_setr(sm,what,val,info)
use psb_base_mod
Implicit None
@@ -564,9 +213,6 @@ contains
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)
@@ -583,7 +229,6 @@ contains
subroutine d_jac_smoother_free(sm,info)
use psb_base_mod
Implicit None
@@ -623,7 +268,6 @@ contains
subroutine d_jac_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
@@ -674,7 +318,7 @@ contains
end subroutine d_jac_smoother_descr
function d_jac_smoother_sizeof(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_d_jac_smoother_type), intent(in) :: sm
@@ -689,7 +333,7 @@ contains
end function d_jac_smoother_sizeof
function d_jac_smoother_get_nzeros(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_d_jac_smoother_type), intent(in) :: sm
mlprec/mld_d_prec_type.f90
+4 -7
View File
@@ -117,9 +117,8 @@ module mld_d_prec_type
interface mld_precaply
subroutine mld_dprecaply_vect(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_dspmat_type, psb_desc_type, &
& psb_dpk_, psb_d_vect_type
import mld_dprec_type
import :: psb_dspmat_type, psb_desc_type, &
& psb_dpk_, psb_d_vect_type, mld_dprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_dprec_type), intent(inout) :: prec
type(psb_d_vect_type),intent(inout) :: x
@@ -129,8 +128,7 @@ module mld_d_prec_type
real(psb_dpk_),intent(inout), optional, target :: work(:)
end subroutine mld_dprecaply_vect
subroutine mld_dprecaply(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_dspmat_type, psb_desc_type, psb_dpk_
import mld_dprec_type
import :: psb_dspmat_type, psb_desc_type, psb_dpk_, mld_dprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_dprec_type), intent(in) :: prec
real(psb_dpk_),intent(inout) :: x(:)
@@ -140,8 +138,7 @@ module mld_d_prec_type
real(psb_dpk_),intent(inout), optional, target :: work(:)
end subroutine mld_dprecaply
subroutine mld_dprecaply1(prec,x,desc_data,info,trans)
use psb_base_mod, only : psb_dspmat_type, psb_desc_type, psb_dpk_
import mld_dprec_type
import :: psb_dspmat_type, psb_desc_type, psb_dpk_, mld_dprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_dprec_type), intent(in) :: prec
real(psb_dpk_),intent(inout) :: x(:)
mlprec/mld_s_as_smoother.f90
-2
View File
@@ -243,8 +243,6 @@ contains
subroutine s_as_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
! Arguments
mlprec/mld_s_base_solver_mod.f90
+2
View File
@@ -55,6 +55,8 @@ module mld_s_base_solver_mod
use mld_base_prec_type
use psb_base_mod, only : psb_desc_type, psb_sspmat_type, psb_long_int_k_, &
& psb_sizeof, psb_free, psb_cdfree, psb_errpush, psb_act_abort_,&
& psb_erractionsave, psb_erractionrestore, psb_error, psb_get_errstatus, psb_success_,&
& psb_s_vect_type, psb_s_base_vect_type, psb_s_base_sparse_mat, psb_spk_
!
!
mlprec/mld_s_jac_smoother.f90
+56 -412
View File
@@ -54,9 +54,9 @@ module mld_s_jac_smoother
type(psb_sspmat_type) :: nd
integer :: nnz_nd_tot
contains
procedure, pass(sm) :: build => s_jac_smoother_bld
procedure, pass(sm) :: apply_v => s_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => s_jac_smoother_apply
procedure, pass(sm) :: build => mld_s_jac_smoother_bld
procedure, pass(sm) :: apply_v => mld_s_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => mld_s_jac_smoother_apply
procedure, pass(sm) :: free => s_jac_smoother_free
procedure, pass(sm) :: seti => s_jac_smoother_seti
procedure, pass(sm) :: setc => s_jac_smoother_setc
@@ -67,408 +67,63 @@ module mld_s_jac_smoother
end type mld_s_jac_smoother_type
private :: s_jac_smoother_bld, s_jac_smoother_apply, &
& s_jac_smoother_free, s_jac_smoother_seti, &
private :: s_jac_smoother_free, s_jac_smoother_seti, &
& s_jac_smoother_setc, s_jac_smoother_setr,&
& s_jac_smoother_descr, s_jac_smoother_sizeof, &
& s_jac_smoother_apply_vect, s_jac_smoother_get_nzeros
& s_jac_smoother_get_nzeros
interface mld_s_jac_smoother_apply_vect
subroutine mld_s_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_s_jac_smoother_type, psb_s_vect_type, psb_spk_, &
& psb_sspmat_type, psb_s_base_sparse_mat, psb_s_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_smoother_type), intent(inout) :: sm
type(psb_s_vect_type),intent(inout) :: x
type(psb_s_vect_type),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
end subroutine mld_s_jac_smoother_apply_vect
end interface mld_s_jac_smoother_apply_vect
interface mld_s_jac_smoother_apply
subroutine mld_s_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_s_jac_smoother_type, psb_s_vect_type, psb_spk_, &
& psb_sspmat_type, psb_s_base_sparse_mat, psb_s_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_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
end subroutine mld_s_jac_smoother_apply
end interface mld_s_jac_smoother_apply
interface mld_s_jac_smoother_bld
subroutine mld_s_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
import :: psb_desc_type, mld_s_jac_smoother_type, psb_s_vect_type, psb_spk_, &
& psb_sspmat_type, psb_s_base_sparse_mat, psb_s_base_vect_type
type(psb_sspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_s_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_s_base_sparse_mat), intent(in), optional :: amold
class(psb_s_base_vect_type), intent(in), optional :: vmold
end subroutine mld_s_jac_smoother_bld
end interface mld_s_jac_smoother_bld
contains
subroutine s_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_smoother_type), intent(inout) :: sm
type(psb_s_vect_type),intent(inout) :: x
type(psb_s_vect_type),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
type(psb_s_vect_type) :: tx, ty
real(psb_spk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='s_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(psb_spk_)')
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='real(psb_spk_)')
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(szero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(sone,x,szero,ty,desc_data,info)
call psb_spmm(-sone,sm%nd,tx,sone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(sone,ty,szero,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
call tx%free(info)
if (info == psb_success_) call ty%free(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 s_jac_smoother_apply_vect
subroutine s_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_s_jac_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
real(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='s_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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='real(psb_spk_)')
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='real(psb_spk_)')
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='real(psb_spk_)')
goto 9999
end if
tx = szero
ty = szero
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(-sone,sm%nd,tx,sone,ty,desc_data,info,work=aux,trans=trans_)
if (info /= psb_success_) exit
call sm%sv%apply(sone,ty,szero,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 s_jac_smoother_apply
subroutine s_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
use psb_base_mod
use mld_s_diag_solver
Implicit None
! Arguments
type(psb_sspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_s_jac_smoother_type), intent(inout) :: sm
character, intent(in) :: upd
integer, intent(out) :: info
class(psb_s_base_sparse_mat), intent(in), optional :: amold
class(psb_s_base_vect_type), intent(in), optional :: vmold
! Local variables
integer :: n_row,n_col, nrow_a, nztota, 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_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
select type (smsv => sm%sv)
type is (mld_s_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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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 s_jac_smoother_bld
subroutine s_jac_smoother_seti(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -483,14 +138,11 @@ contains
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
! !$ 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
@@ -508,8 +160,6 @@ contains
subroutine s_jac_smoother_setc(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -546,7 +196,6 @@ contains
subroutine s_jac_smoother_setr(sm,what,val,info)
use psb_base_mod
Implicit None
@@ -564,9 +213,6 @@ contains
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)
@@ -583,7 +229,6 @@ contains
subroutine s_jac_smoother_free(sm,info)
use psb_base_mod
Implicit None
@@ -623,7 +268,6 @@ contains
subroutine s_jac_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
@@ -674,7 +318,7 @@ contains
end subroutine s_jac_smoother_descr
function s_jac_smoother_sizeof(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_s_jac_smoother_type), intent(in) :: sm
@@ -689,7 +333,7 @@ contains
end function s_jac_smoother_sizeof
function s_jac_smoother_get_nzeros(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_s_jac_smoother_type), intent(in) :: sm
mlprec/mld_s_prec_type.f90
+4 -7
View File
@@ -117,9 +117,8 @@ module mld_s_prec_type
interface mld_precaply
subroutine mld_sprecaply_vect(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_sspmat_type, psb_desc_type, &
& psb_spk_, psb_s_vect_type
import mld_sprec_type
import :: psb_sspmat_type, psb_desc_type, &
& psb_spk_, psb_s_vect_type, mld_sprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_sprec_type), intent(inout) :: prec
type(psb_s_vect_type),intent(inout) :: x
@@ -129,8 +128,7 @@ module mld_s_prec_type
real(psb_spk_),intent(inout), optional, target :: work(:)
end subroutine mld_sprecaply_vect
subroutine mld_sprecaply(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_sspmat_type, psb_desc_type, psb_spk_
import mld_sprec_type
import :: psb_sspmat_type, psb_desc_type, psb_spk_, mld_sprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_sprec_type), intent(in) :: prec
real(psb_spk_),intent(inout) :: x(:)
@@ -140,8 +138,7 @@ module mld_s_prec_type
real(psb_spk_),intent(inout), optional, target :: work(:)
end subroutine mld_sprecaply
subroutine mld_sprecaply1(prec,x,desc_data,info,trans)
use psb_base_mod, only : psb_sspmat_type, psb_desc_type, psb_spk_
import mld_sprec_type
import :: psb_sspmat_type, psb_desc_type, psb_spk_, mld_sprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_sprec_type), intent(in) :: prec
real(psb_spk_),intent(inout) :: x(:)
mlprec/mld_z_as_smoother.f90
-2
View File
@@ -243,8 +243,6 @@ contains
subroutine z_as_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
! Arguments
mlprec/mld_z_base_solver_mod.f90
+2
View File
@@ -55,6 +55,8 @@ module mld_z_base_solver_mod
use mld_base_prec_type
use psb_base_mod, only : psb_desc_type, psb_zspmat_type, psb_long_int_k_, &
& psb_sizeof, psb_free, psb_cdfree, psb_errpush, psb_act_abort_,&
& psb_erractionsave, psb_erractionrestore, psb_error, psb_get_errstatus, psb_success_,&
& psb_z_vect_type, psb_z_base_vect_type, psb_z_base_sparse_mat, psb_dpk_
!
!
mlprec/mld_z_jac_smoother.f90
+56 -412
View File
@@ -54,9 +54,9 @@ module mld_z_jac_smoother
type(psb_zspmat_type) :: nd
integer :: nnz_nd_tot
contains
procedure, pass(sm) :: build => z_jac_smoother_bld
procedure, pass(sm) :: apply_v => z_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => z_jac_smoother_apply
procedure, pass(sm) :: build => mld_z_jac_smoother_bld
procedure, pass(sm) :: apply_v => mld_z_jac_smoother_apply_vect
procedure, pass(sm) :: apply_a => mld_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
@@ -67,408 +67,63 @@ module mld_z_jac_smoother
end type mld_z_jac_smoother_type
private :: z_jac_smoother_bld, z_jac_smoother_apply, &
& z_jac_smoother_free, z_jac_smoother_seti, &
private :: z_jac_smoother_free, z_jac_smoother_seti, &
& z_jac_smoother_setc, z_jac_smoother_setr,&
& z_jac_smoother_descr, z_jac_smoother_sizeof, &
& z_jac_smoother_apply_vect, z_jac_smoother_get_nzeros
& z_jac_smoother_get_nzeros
interface mld_z_jac_smoother_apply_vect
subroutine mld_z_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_z_jac_smoother_type, psb_z_vect_type, psb_dpk_, &
& psb_zspmat_type, psb_z_base_sparse_mat, psb_z_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(inout) :: sm
type(psb_z_vect_type),intent(inout) :: x
type(psb_z_vect_type),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
end subroutine mld_z_jac_smoother_apply_vect
end interface mld_z_jac_smoother_apply_vect
interface mld_z_jac_smoother_apply
subroutine mld_z_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
import :: psb_desc_type, mld_z_jac_smoother_type, psb_z_vect_type, psb_dpk_, &
& psb_zspmat_type, psb_z_base_sparse_mat, psb_z_base_vect_type
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(in) :: sm
complex(psb_dpk_),intent(inout) :: 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
end subroutine mld_z_jac_smoother_apply
end interface mld_z_jac_smoother_apply
interface mld_z_jac_smoother_bld
subroutine mld_z_jac_smoother_bld(a,desc_a,sm,upd,info,amold,vmold)
import :: psb_desc_type, mld_z_jac_smoother_type, psb_z_vect_type, psb_dpk_, &
& psb_zspmat_type, psb_z_base_sparse_mat, psb_z_base_vect_type
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
class(psb_z_base_sparse_mat), intent(in), optional :: amold
class(psb_z_base_vect_type), intent(in), optional :: vmold
end subroutine mld_z_jac_smoother_bld
end interface mld_z_jac_smoother_bld
contains
subroutine z_jac_smoother_apply_vect(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(inout) :: sm
type(psb_z_vect_type),intent(inout) :: x
type(psb_z_vect_type),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
type(psb_z_vect_type) :: tx, ty
complex(psb_dpk_), pointer :: ww(:), aux(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='z_jac_smoother_apply'
call psb_erractionsave(err_act)
info = psb_success_
trans_ = psb_toupper(trans)
select case(trans_)
case('N')
case('T')
case('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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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.
!
!
call tx%bld(x%get_nrows(),mold=x%v)
call tx%set(zzero)
call ty%bld(x%get_nrows(),mold=x%v)
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.
!
call psb_geaxpby(zone,x,zzero,ty,desc_data,info)
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
call tx%free(info)
if (info == psb_success_) call ty%free(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_vect
subroutine z_jac_smoother_apply(alpha,sm,x,beta,y,desc_data,trans,sweeps,work,info)
use psb_base_mod
type(psb_desc_type), intent(in) :: desc_data
class(mld_z_jac_smoother_type), intent(in) :: sm
complex(psb_dpk_),intent(inout) :: 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='z_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 = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
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,amold,vmold)
use psb_base_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
class(psb_z_base_sparse_mat), intent(in), optional :: amold
class(psb_z_base_vect_type), intent(in), optional :: vmold
! 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='z_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 = desc_a%get_context()
call psb_info(ictxt, me, np)
if (debug_level >= psb_debug_outer_) &
& write(debug_unit,*) me,' ',trim(name),' start'
n_row = desc_a%get_local_rows()
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_) then
if (present(amold)) then
call sm%nd%cscnv(info,&
& mold=amold,dupl=psb_dupl_add_)
else
call sm%nd%cscnv(info,&
& type='csr',dupl=psb_dupl_add_)
endif
end if
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='clip & psb_spcnv csr 4')
goto 9999
end if
call sm%sv%build(a,desc_a,upd,info,amold=amold,vmold=vmold)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,&
& a_err='solver build')
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_base_mod
Implicit None
! Arguments
@@ -483,14 +138,11 @@ contains
call psb_erractionsave(err_act)
select case(what)
!!$ case(mld_smoother_sweeps_)
!!$ sm%sweeps = val
! !$ 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
@@ -508,8 +160,6 @@ contains
subroutine z_jac_smoother_setc(sm,what,val,info)
use psb_base_mod
Implicit None
! Arguments
@@ -546,7 +196,6 @@ contains
subroutine z_jac_smoother_setr(sm,what,val,info)
use psb_base_mod
Implicit None
@@ -564,9 +213,6 @@ contains
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)
@@ -583,7 +229,6 @@ contains
subroutine z_jac_smoother_free(sm,info)
use psb_base_mod
Implicit None
@@ -623,7 +268,6 @@ contains
subroutine z_jac_smoother_descr(sm,info,iout,coarse)
use psb_base_mod
Implicit None
@@ -674,7 +318,7 @@ contains
end subroutine z_jac_smoother_descr
function z_jac_smoother_sizeof(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_z_jac_smoother_type), intent(in) :: sm
@@ -689,7 +333,7 @@ contains
end function z_jac_smoother_sizeof
function z_jac_smoother_get_nzeros(sm) result(val)
use psb_base_mod
implicit none
! Arguments
class(mld_z_jac_smoother_type), intent(in) :: sm
mlprec/mld_z_prec_type.f90
+4 -7
View File
@@ -117,9 +117,8 @@ module mld_z_prec_type
interface mld_precaply
subroutine mld_zprecaply_vect(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_zspmat_type, psb_desc_type, &
& psb_dpk_, psb_z_vect_type
import mld_zprec_type
import :: psb_zspmat_type, psb_desc_type, &
& psb_dpk_, psb_z_vect_type, mld_zprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_zprec_type), intent(inout) :: prec
type(psb_z_vect_type),intent(inout) :: x
@@ -129,8 +128,7 @@ module mld_z_prec_type
complex(psb_dpk_),intent(inout), optional, target :: work(:)
end subroutine mld_zprecaply_vect
subroutine mld_zprecaply(prec,x,y,desc_data,info,trans,work)
use psb_base_mod, only : psb_zspmat_type, psb_desc_type, psb_dpk_
import mld_zprec_type
import :: psb_zspmat_type, psb_desc_type, psb_dpk_, mld_zprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_zprec_type), intent(in) :: prec
complex(psb_dpk_),intent(inout) :: x(:)
@@ -140,8 +138,7 @@ module mld_z_prec_type
complex(psb_dpk_),intent(inout), optional, target :: work(:)
end subroutine mld_zprecaply
subroutine mld_zprecaply1(prec,x,desc_data,info,trans)
use psb_base_mod, only : psb_zspmat_type, psb_desc_type, psb_dpk_
import mld_zprec_type
import :: psb_zspmat_type, psb_desc_type, psb_dpk_, mld_zprec_type
type(psb_desc_type),intent(in) :: desc_data
type(mld_zprec_type), intent(in) :: prec
complex(psb_dpk_),intent(inout) :: x(:)
tests/pdegen/runs/ppde.inp
+1 -1
View File
@@ -1,6 +1,6 @@
BICGSTAB ! Iterative method: BiCGSTAB BiCG CGS RGMRES BiCGSTABL CG
CSR ! Storage format CSR COO JAD
080 ! IDIM; domain size is idim**3
040 ! IDIM; domain size is idim**3
2 ! ISTOPC
0100 ! ITMAX
-1 ! ITRACE