psblas-testpre:

Workaround in mlprec_bld for gfortran bug 54874.
stopcriterion
Salvatore Filippone 12 years ago
parent 586d19e8d2
commit 885653ce40

@ -0,0 +1,528 @@
!!$
!!$
!!$ MLD2P4 version 2.0
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
!!$
!!$ (C) Copyright 2008,2009,2010,2012
!!$
!!$ 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_tlu_solver_apply_vect(alpha,sv,x,beta,y,desc_data,trans,work,info)
use psb_base_mod
use mld_d_tlu_solver, mld_protect_name => mld_d_tlu_solver_apply_vect
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_tlu_solver_type), intent(inout) :: sv
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
real(psb_dpk_),target, intent(inout) :: work(:)
integer, intent(out) :: info
integer :: n_row,n_col
type(psb_d_vect_type) :: wv, wv1
real(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act
character :: trans_
character(len=20) :: name='d_tlu_solver_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
n_row = desc_data%get_local_rows()
n_col = desc_data%get_local_cols()
if (x%get_nrows() < n_row) then
info = 36
call psb_errpush(info,name,i_err=(/2,n_row,0,0,0/))
goto 9999
end if
if (y%get_nrows() < n_row) then
info = 36
call psb_errpush(info,name,i_err=(/3,n_row,0,0,0/))
goto 9999
end if
if (.not.allocated(sv%dv%v)) then
info = 1124
call psb_errpush(info,name,a_err="preconditioner: D")
goto 9999
end if
if (sv%dv%get_nrows() < n_row) then
info = 1124
call psb_errpush(info,name,a_err="preconditioner: DV")
goto 9999
end if
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)
endif
else
allocate(ww(n_col),aux(4*n_col),stat=info)
endif
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
call psb_geasb(wv,desc_data,info,mold=x%v,scratch=.true.)
call psb_geasb(wv1,desc_data,info,mold=x%v,scratch=.true.)
select case(trans_)
case('N')
call psb_spsm(done,sv%l,x,dzero,wv,desc_data,info,&
& trans=trans_,scale='L',diag=sv%dv,choice=psb_none_,work=aux)
if (info == psb_success_) call psb_spsm(alpha,sv%u,wv,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_, work=aux)
case('T')
call psb_spsm(done,sv%u,x,dzero,wv,desc_data,info,&
& trans=trans_,scale='L',diag=sv%dv,choice=psb_none_,work=aux)
if (info == psb_success_) call psb_spsm(alpha,sv%l,wv,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_,work=aux)
case('C')
call psb_spsm(done,sv%u,x,dzero,wv,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_,work=aux)
call wv1%mlt(done,sv%dv,wv,dzero,info,conjgx=trans_)
if (info == psb_success_) call psb_spsm(alpha,sv%l,wv1,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_,work=aux)
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in TLU subsolve')
goto 9999
end select
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Error in subsolve')
goto 9999
endif
call wv%free(info)
call wv1%free(info)
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_tlu_solver_apply_vect
subroutine mld_d_tlu_solver_apply(alpha,sv,x,beta,y,desc_data,trans,work,info)
use psb_base_mod
use mld_d_tlu_solver, mld_protect_name => mld_d_tlu_solver_apply
implicit none
type(psb_desc_type), intent(in) :: desc_data
class(mld_d_tlu_solver_type), intent(in) :: sv
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
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_tlu_solver_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
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
select case(trans_)
case('N')
call psb_spsm(done,sv%l,x,dzero,ww,desc_data,info,&
& trans=trans_,scale='L',diag=sv%d,choice=psb_none_,work=aux)
if (info == psb_success_) call psb_spsm(alpha,sv%u,ww,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_, work=aux)
case('T')
call psb_spsm(done,sv%u,x,dzero,ww,desc_data,info,&
& trans=trans_,scale='L',diag=sv%d,choice=psb_none_,work=aux)
if (info == psb_success_) call psb_spsm(alpha,sv%l,ww,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_,work=aux)
case('C')
call psb_spsm(done,sv%u,x,dzero,ww,desc_data,info,&
& trans=trans_,scale='L',diag=sv%d,choice=psb_none_,work=aux)
if (info == psb_success_) call psb_spsm(alpha,sv%l,ww,beta,y,desc_data,info,&
& trans=trans_,scale='U',choice=psb_none_,work=aux)
case default
call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in TLU subsolve')
goto 9999
end select
if (info /= psb_success_) then
call psb_errpush(psb_err_internal_error_,name,a_err='Error in subsolve')
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_tlu_solver_apply
subroutine mld_d_tlu_solver_bld(a,desc_a,sv,upd,info,b,amold,vmold)
use psb_base_mod
use mld_d_tlu_solver, mld_protect_name => mld_d_tlu_solver_bld
Implicit None
! Arguments
type(psb_dspmat_type), intent(in), target :: a
Type(psb_desc_type), Intent(in) :: desc_a
class(mld_d_tlu_solver_type), intent(inout) :: sv
character, intent(in) :: upd
integer, intent(out) :: info
type(psb_dspmat_type), intent(in), target, optional :: b
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
!!$ real(psb_dpk_), pointer :: ww(:), aux(:), tx(:),ty(:)
integer :: ictxt,np,me,i, err_act, debug_unit, debug_level
character(len=20) :: name='d_tlu_solver_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()
if (psb_toupper(upd) == 'F') then
nrow_a = a%get_nrows()
nztota = a%get_nzeros()
if (present(b)) then
nztota = nztota + b%get_nzeros()
end if
call sv%l%csall(n_row,n_row,info,nztota)
if (info == psb_success_) call sv%u%csall(n_row,n_row,info,nztota)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_sp_all'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (allocated(sv%d)) then
if (size(sv%d) < n_row) then
deallocate(sv%d)
endif
endif
if (.not.allocated(sv%d)) allocate(sv%d(n_row),stat=info)
if (info /= psb_success_) then
call psb_errpush(psb_err_from_subroutine_,name,a_err='Allocate')
goto 9999
endif
select case(sv%fact_type)
case (mld_ilu_t_)
!
! ILU(k,t)
!
select case(sv%fill_in)
case(:-1)
! Error: fill-in <= -1
call psb_errpush(psb_err_input_value_invalid_i_,&
& name,i_err=(/3,sv%fill_in,0,0,0/))
goto 9999
case(0:)
! Fill-in >= 0
call mld_ilut_fact(sv%fill_in,sv%thresh,&
& a, sv%l,sv%u,sv%d,info,blck=b)
end select
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='mld_ilut_fact'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
case(mld_ilu_n_,mld_milu_n_)
!
! ILU(k) and MILU(k)
!
select case(sv%fill_in)
case(:-1)
! Error: fill-in <= -1
call psb_errpush(psb_err_input_value_invalid_i_,&
& name,i_err=(/3,sv%fill_in,0,0,0/))
goto 9999
case(0)
! Fill-in 0
! Separate implementation of ILU(0) for better performance.
! There seems to be a problem with the separate implementation of MILU(0),
! contained into mld_ilu0_fact. This must be investigated. For the time being,
! resort to the implementation of MILU(k) with k=0.
if (sv%fact_type == mld_ilu_n_) then
call mld_ilu0_fact(sv%fact_type,a,sv%l,sv%u,&
& sv%d,info,blck=b,upd=upd)
else
call mld_iluk_fact(sv%fill_in,sv%fact_type,&
& a,sv%l,sv%u,sv%d,info,blck=b)
endif
case(1:)
! Fill-in >= 1
! The same routine implements both ILU(k) and MILU(k)
call mld_iluk_fact(sv%fill_in,sv%fact_type,&
& a,sv%l,sv%u,sv%d,info,blck=b)
end select
if (info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='mld_iluk_fact'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
case default
! If we end up here, something was wrong up in the call chain.
info = psb_err_input_value_invalid_i_
call psb_errpush(psb_err_input_value_invalid_i_,name,&
& i_err=(/3,sv%fact_type,0,0,0/))
goto 9999
end select
else
! Here we should add checks for reuse of L and U.
! For the time being just throw an error.
info = 31
call psb_errpush(info, name,&
& i_err=(/3,0,0,0,0/),a_err=upd)
goto 9999
!
! What is an update of a factorization??
! A first attempt could be to reuse EXACTLY the existing indices
! as if it was an ILU(0) (since, effectively, the sparsity pattern
! should not grow beyond what is already there).
!
call mld_ilu0_fact(sv%fact_type,a,&
& sv%l,sv%u,&
& sv%d,info,blck=b,upd=upd)
end if
call sv%l%set_asb()
call sv%l%trim()
call sv%u%set_asb()
call sv%u%trim()
call sv%dv%bld(sv%d,mold=vmold)
if (present(amold)) then
call sv%l%cscnv(info,mold=amold)
call sv%u%cscnv(info,mold=amold)
end if
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_tlu_solver_bld
subroutine mld_d_tlu_solver_dmp(sv,ictxt,level,info,prefix,head,solver)
use psb_base_mod
use mld_d_tlu_solver, mld_protect_name => mld_d_tlu_solver_dmp
implicit none
class(mld_d_tlu_solver_type), intent(in) :: sv
integer, intent(in) :: ictxt,level
integer, intent(out) :: info
character(len=*), intent(in), optional :: prefix, head
logical, optional, intent(in) :: solver
integer :: i, j, il1, iln, lname, lev
integer :: icontxt,iam, np
character(len=80) :: prefix_
character(len=120) :: fname ! len should be at least 20 more than
logical :: solver_
! len of prefix_
info = 0
call psb_info(ictxt,iam,np)
if (present(solver)) then
solver_ = solver
else
solver_ = .false.
end if
if (solver_) then
if (present(prefix)) then
prefix_ = trim(prefix(1:min(len(prefix),len(prefix_))))
else
prefix_ = "dump_slv_d"
end if
lname = len_trim(prefix_)
fname = trim(prefix_)
write(fname(lname+1:lname+5),'(a,i3.3)') '_p',iam
lname = lname + 5
write(fname(lname+1:),'(a,i3.3,a)')'_l',level,'_lower.mtx'
if (sv%l%is_asb()) &
& call sv%l%print(fname,head=head)
write(fname(lname+1:),'(a,i3.3,a)')'_l',level,'_diag.mtx'
if (allocated(sv%d)) &
& call psb_geprt(fname,sv%d,head=head)
write(fname(lname+1:),'(a,i3.3,a)')'_l',level,'_upper.mtx'
if (sv%u%is_asb()) &
& call sv%u%print(fname,head=head)
end if
end subroutine mld_d_tlu_solver_dmp

@ -0,0 +1,485 @@
!!$
!!$
!!$ MLD2P4 version 2.0
!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
!!$
!!$ (C) Copyright 2008,2009,2010,2012
!!$
!!$ 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.
!!$
!!$
!
! File: ppde3d.f90
!
! Program: ppde3d
! This sample program solves a linear system obtained by discretizing a
! PDE with Dirichlet BCs.
!
!
! The PDE is a general second order equation in 3d
!
! a1 dd(u) a2 dd(u) a3 dd(u) b1 d(u) b2 d(u) b3 d(u)
! - ------ - ------ - ------ + ----- + ------ + ------ + c u = f
! dxdx dydy dzdz dx dy dz
!
! with Dirichlet boundary conditions
! u = g
!
! on the unit cube 0<=x,y,z<=1.
!
!
! Note that if b1=b2=b3=c=0., the PDE is the Laplace equation.
!
! In this sample program the index space of the discretized
! computational domain is first numbered sequentially in a standard way,
! then the corresponding vector is distributed according to a BLOCK
! data distribution.
!
module ppde3d_mod
contains
!
! functions parametrizing the differential equation
!
function b1(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: b1
real(psb_dpk_), intent(in) :: x,y,z
b1=1.d0/sqrt(3.d0)
end function b1
function b2(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: b2
real(psb_dpk_), intent(in) :: x,y,z
b2=1.d0/sqrt(3.d0)
end function b2
function b3(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: b3
real(psb_dpk_), intent(in) :: x,y,z
b3=1.d0/sqrt(3.d0)
end function b3
function c(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: c
real(psb_dpk_), intent(in) :: x,y,z
c=0.d0
end function c
function a1(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a1
real(psb_dpk_), intent(in) :: x,y,z
a1=1.d0/80
end function a1
function a2(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a2
real(psb_dpk_), intent(in) :: x,y,z
a2=1.d0/80
end function a2
function a3(x,y,z)
use psb_base_mod, only : psb_dpk_
real(psb_dpk_) :: a3
real(psb_dpk_), intent(in) :: x,y,z
a3=1.d0/80
end function a3
function g(x,y,z)
use psb_base_mod, only : psb_dpk_, done, dzero
real(psb_dpk_) :: g
real(psb_dpk_), intent(in) :: x,y,z
g = dzero
if (x == done) then
g = done
else if (x == dzero) then
g = exp(y**2-z**2)
end if
end function g
end module ppde3d_mod
program ppde3d
use psb_base_mod
use mld_prec_mod
use psb_krylov_mod
use psb_util_mod
use data_input
use ppde3d_mod
use mld_d_tlu_solver
implicit none
! input parameters
character(len=20) :: kmethd, ptype
character(len=5) :: afmt
integer :: idim
! miscellaneous
real(psb_dpk_), parameter :: one = 1.d0
real(psb_dpk_) :: t1, t2, tprec
! sparse matrix and preconditioner
type(psb_dspmat_type) :: a
type(mld_dprec_type) :: prec
type(mld_d_tlu_solver_type) :: tlusv
! descriptor
type(psb_desc_type) :: desc_a
! dense matrices
type(psb_d_vect_type) :: x,b
! blacs parameters
integer :: ictxt, iam, np
! solver parameters
integer :: iter, itmax,itrace, istopc, irst, nlv
integer(psb_long_int_k_) :: amatsize, precsize, descsize
real(psb_dpk_) :: err, eps
type precdata
character(len=20) :: descr ! verbose description of the prec
character(len=10) :: prec ! overall prectype
integer :: novr ! number of overlap layers
integer :: jsweeps ! Jacobi/smoother sweeps
character(len=16) :: restr ! restriction over application of as
character(len=16) :: prol ! prolongation over application of as
character(len=16) :: solve ! Solver type: ILU, SuperLU, UMFPACK.
integer :: fill1 ! Fill-in for factorization 1
real(psb_dpk_) :: thr1 ! Threshold for fact. 1 ILU(T)
character(len=16) :: smther ! Smoother
integer :: nlev ! Number of levels in multilevel prec.
character(len=16) :: aggrkind ! smoothed/raw aggregatin
character(len=16) :: aggr_alg ! local or global aggregation
character(len=16) :: mltype ! additive or multiplicative 2nd level prec
character(len=16) :: smthpos ! side: pre, post, both smoothing
integer :: csize ! aggregation size at which to stop.
character(len=16) :: cmat ! coarse mat
character(len=16) :: csolve ! Coarse solver: bjac, umf, slu, sludist
character(len=16) :: csbsolve ! Coarse subsolver: ILU, ILU(T), SuperLU, UMFPACK.
integer :: cfill ! Fill-in for factorization 1
real(psb_dpk_) :: cthres ! Threshold for fact. 1 ILU(T)
integer :: cjswp ! Jacobi sweeps
real(psb_dpk_) :: athres ! smoother aggregation threshold
end type precdata
type(precdata) :: prectype
type(psb_d_coo_sparse_mat) :: acoo
! other variables
integer :: info
character(len=20) :: name,ch_err
info=psb_success_
call psb_init(ictxt)
call psb_info(ictxt,iam,np)
if (iam < 0) then
! This should not happen, but just in case
call psb_exit(ictxt)
stop
endif
if(psb_get_errstatus() /= 0) goto 9999
name='pde90'
call psb_set_errverbosity(2)
!
! Hello world
!
if (iam == psb_root_) then
write(*,*) 'Welcome to MLD2P4 version: ',mld_version_string_
write(*,*) 'This is the ',trim(name),' sample program'
end if
!
! get parameters
!
call get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst,eps)
!
! allocate and fill in the coefficient matrix, rhs and initial guess
!
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_gen_pde3d(ictxt,idim,a,b,x,desc_a,afmt,&
& a1,a2,a3,b1,b2,b3,c,g,info)
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='create_matrix'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
if (iam == psb_root_) &
& write(psb_out_unit,'("Overall matrix creation time : ",es12.5)')t2
if (iam == psb_root_) &
& write(psb_out_unit,'(" ")')
!
! prepare the preconditioner.
!
if (psb_toupper(prectype%prec) == 'ML') then
nlv = prectype%nlev
call mld_precinit(prec,prectype%prec, info, nlev=nlv)
call mld_precset(prec,mld_smoother_type_, prectype%smther, info)
call mld_precset(prec,mld_smoother_sweeps_, prectype%jsweeps, info)
call mld_precset(prec,mld_sub_ovr_, prectype%novr, info)
call mld_precset(prec,mld_sub_restr_, prectype%restr, info)
call mld_precset(prec,mld_sub_prol_, prectype%prol, info)
!call mld_precset(prec,mld_sub_solve_, prectype%solve, info)
call mld_precset(prec,tlusv,info)
call mld_precset(prec,mld_sub_fillin_, prectype%fill1, info)
call mld_precset(prec,mld_sub_iluthrs_, prectype%thr1, info)
call mld_precset(prec,mld_aggr_kind_, prectype%aggrkind,info)
call mld_precset(prec,mld_aggr_alg_, prectype%aggr_alg,info)
call mld_precset(prec,mld_ml_type_, prectype%mltype, info)
call mld_precset(prec,mld_smoother_pos_, prectype%smthpos, info)
if (prectype%athres >= dzero) &
& call mld_precset(prec,mld_aggr_thresh_, prectype%athres, info)
call mld_precset(prec,mld_coarse_solve_, prectype%csolve, info)
call mld_precset(prec,mld_coarse_subsolve_, prectype%csbsolve,info)
call mld_precset(prec,mld_coarse_mat_, prectype%cmat, info)
call mld_precset(prec,mld_coarse_fillin_, prectype%cfill, info)
call mld_precset(prec,mld_coarse_iluthrs_, prectype%cthres, info)
call mld_precset(prec,mld_coarse_sweeps_, prectype%cjswp, info)
call mld_precset(prec,mld_coarse_aggr_size_, prectype%csize, info)
else
nlv = 1
call mld_precinit(prec,prectype%prec, info, nlev=nlv)
call mld_precset(prec,mld_smoother_sweeps_, prectype%jsweeps, info)
call mld_precset(prec,mld_sub_ovr_, prectype%novr, info)
call mld_precset(prec,mld_sub_restr_, prectype%restr, info)
call mld_precset(prec,mld_sub_prol_, prectype%prol, info)
!call mld_precset(prec,mld_sub_solve_, prectype%solve, info)
call mld_precset(prec,tlusv,info)
call mld_precset(prec,mld_sub_fillin_, prectype%fill1, info)
call mld_precset(prec,mld_sub_iluthrs_, prectype%thr1, info)
end if
call psb_barrier(ictxt)
t1 = psb_wtime()
call mld_precbld(a,desc_a,prec,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='psb_precbld'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
tprec = psb_wtime()-t1
!!$ call prec%dump(info,prefix='test-ml',ac=.true.,solver=.true.,smoother=.true.)
call psb_amx(ictxt,tprec)
if (iam == psb_root_) &
& write(psb_out_unit,'("Preconditioner time : ",es12.5)')tprec
if (iam == psb_root_) call mld_precdescr(prec,info)
if (iam == psb_root_) &
& write(psb_out_unit,'(" ")')
!
! iterative method parameters
!
if(iam == psb_root_) &
& write(psb_out_unit,'("Calling iterative method ",a)')kmethd
call psb_barrier(ictxt)
t1 = psb_wtime()
call psb_krylov(kmethd,a,prec,b,x,eps,desc_a,info,&
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='solver routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
call psb_barrier(ictxt)
t2 = psb_wtime() - t1
call psb_amx(ictxt,t2)
amatsize = a%sizeof()
descsize = desc_a%sizeof()
precsize = prec%sizeof()
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam == psb_root_) then
write(psb_out_unit,'(" ")')
write(psb_out_unit,'("Time to solve matrix : ",es12.5)') t2
write(psb_out_unit,'("Time per iteration : ",es12.5)') t2/iter
write(psb_out_unit,'("Number of iterations : ",i0)') iter
write(psb_out_unit,'("Convergence indicator on exit : ",es12.5)') err
write(psb_out_unit,'("Info on exit : ",i0)') info
write(psb_out_unit,'("Total memory occupation for A: ",i12)') amatsize
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)') descsize
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)') precsize
end if
!
! cleanup storage and exit
!
call psb_gefree(b,desc_a,info)
call psb_gefree(x,desc_a,info)
call psb_spfree(a,desc_a,info)
call mld_precfree(prec,info)
call psb_cdfree(desc_a,info)
if(info /= psb_success_) then
info=psb_err_from_subroutine_
ch_err='free routine'
call psb_errpush(info,name,a_err=ch_err)
goto 9999
end if
9999 continue
if(info /= psb_success_) then
call psb_error(ictxt)
end if
call psb_exit(ictxt)
stop
contains
!
! get iteration parameters from standard input
!
subroutine get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst,eps)
integer :: ictxt
type(precdata) :: prectype
character(len=*) :: kmethd, afmt
integer :: idim, istopc,itmax,itrace,irst
integer :: np, iam, info
real(psb_dpk_) :: eps
character(len=20) :: buffer
call psb_info(ictxt, iam, np)
if (iam == psb_root_) then
call read_data(kmethd,5)
call read_data(afmt,5)
call read_data(idim,5)
call read_data(istopc,5)
call read_data(itmax,5)
call read_data(itrace,5)
call read_data(irst,5)
call read_data(eps,5)
call read_data(prectype%descr,5) ! verbose description of the prec
call read_data(prectype%prec,5) ! overall prectype
call read_data(prectype%novr,5) ! number of overlap layers
call read_data(prectype%restr,5) ! restriction over application of as
call read_data(prectype%prol,5) ! prolongation over application of as
call read_data(prectype%solve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%fill1,5) ! Fill-in for factorization 1
call read_data(prectype%thr1,5) ! Threshold for fact. 1 ILU(T)
call read_data(prectype%jsweeps,5) ! Jacobi sweeps for PJAC
if (psb_toupper(prectype%prec) == 'ML') then
call read_data(prectype%smther,5) ! Smoother type.
call read_data(prectype%nlev,5) ! Number of levels in multilevel prec.
call read_data(prectype%aggrkind,5) ! smoothed/raw aggregatin
call read_data(prectype%aggr_alg,5) ! local or global aggregation
call read_data(prectype%mltype,5) ! additive or multiplicative 2nd level prec
call read_data(prectype%smthpos,5) ! side: pre, post, both smoothing
call read_data(prectype%cmat,5) ! coarse mat
call read_data(prectype%csolve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%csbsolve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
call read_data(prectype%cfill,5) ! Fill-in for factorization 1
call read_data(prectype%cthres,5) ! Threshold for fact. 1 ILU(T)
call read_data(prectype%cjswp,5) ! Jacobi sweeps
call read_data(prectype%athres,5) ! smoother aggr thresh
call read_data(prectype%csize,5) ! coarse size
end if
end if
! broadcast parameters to all processors
call psb_bcast(ictxt,kmethd)
call psb_bcast(ictxt,afmt)
call psb_bcast(ictxt,idim)
call psb_bcast(ictxt,istopc)
call psb_bcast(ictxt,itmax)
call psb_bcast(ictxt,itrace)
call psb_bcast(ictxt,irst)
call psb_bcast(ictxt,eps)
call psb_bcast(ictxt,prectype%descr) ! verbose description of the prec
call psb_bcast(ictxt,prectype%prec) ! overall prectype
call psb_bcast(ictxt,prectype%novr) ! number of overlap layers
call psb_bcast(ictxt,prectype%restr) ! restriction over application of as
call psb_bcast(ictxt,prectype%prol) ! prolongation over application of as
call psb_bcast(ictxt,prectype%solve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%fill1) ! Fill-in for factorization 1
call psb_bcast(ictxt,prectype%thr1) ! Threshold for fact. 1 ILU(T)
call psb_bcast(ictxt,prectype%jsweeps) ! Jacobi sweeps
if (psb_toupper(prectype%prec) == 'ML') then
call psb_bcast(ictxt,prectype%smther) ! Smoother type.
call psb_bcast(ictxt,prectype%nlev) ! Number of levels in multilevel prec.
call psb_bcast(ictxt,prectype%aggrkind) ! smoothed/raw aggregatin
call psb_bcast(ictxt,prectype%aggr_alg) ! local or global aggregation
call psb_bcast(ictxt,prectype%mltype) ! additive or multiplicative 2nd level prec
call psb_bcast(ictxt,prectype%smthpos) ! side: pre, post, both smoothing
call psb_bcast(ictxt,prectype%cmat) ! coarse mat
call psb_bcast(ictxt,prectype%csolve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%csbsolve) ! Factorization type: ILU, SuperLU, UMFPACK.
call psb_bcast(ictxt,prectype%cfill) ! Fill-in for factorization 1
call psb_bcast(ictxt,prectype%cthres) ! Threshold for fact. 1 ILU(T)
call psb_bcast(ictxt,prectype%cjswp) ! Jacobi sweeps
call psb_bcast(ictxt,prectype%athres) ! smoother aggr thresh
call psb_bcast(ictxt,prectype%csize) ! coarse size
end if
if (iam == psb_root_) then
write(psb_out_unit,'("Solving matrix : ell1")')
write(psb_out_unit,'("Grid dimensions : ",i4,"x",i4,"x",i4)')idim,idim,idim
write(psb_out_unit,'("Number of processors : ",i0)') np
write(psb_out_unit,'("Data distribution : BLOCK")')
write(psb_out_unit,'("Preconditioner : ",a)') prectype%descr
write(psb_out_unit,'("Iterative method : ",a)') kmethd
write(psb_out_unit,'(" ")')
endif
return
end subroutine get_parms
!
! print an error message
!
subroutine pr_usage(iout)
integer :: iout
write(iout,*)'incorrect parameter(s) found'
write(iout,*)' usage: pde90 methd prec dim &
&[istop itmax itrace]'
write(iout,*)' where:'
write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
write(iout,*)' prec : bjac diag none'
write(iout,*)' dim number of points along each axis'
write(iout,*)' the size of the resulting linear '
write(iout,*)' system is dim**3'
write(iout,*)' istop stopping criterion 1, 2 '
write(iout,*)' itmax maximum number of iterations [500] '
write(iout,*)' itrace <=0 (no tracing, default) or '
write(iout,*)' >= 1 do tracing every itrace'
write(iout,*)' iterations '
end subroutine pr_usage
end program ppde3d
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