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313 lines
11 KiB
Fortran
313 lines
11 KiB
Fortran
!!$
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!!$
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!!$ MLD2P4 version 1.1
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!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
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!!$ based on PSBLAS (Parallel Sparse BLAS version 2.3.1)
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!!$
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!!$ (C) Copyright 2008,2009
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!!$
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!!$ Salvatore Filippone University of Rome Tor Vergata
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!!$ Alfredo Buttari CNRS-IRIT, Toulouse
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!!$ Pasqua D'Ambra ICAR-CNR, Naples
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!!$ Daniela di Serafino Second University of Naples
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!!$
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!!$ Redistribution and use in source and binary forms, with or without
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!!$ modification, are permitted provided that the following conditions
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!!$ are met:
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!!$ 1. Redistributions of source code must retain the above copyright
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!!$ notice, this list of conditions and the following disclaimer.
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!!$ 2. Redistributions in binary form must reproduce the above copyright
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!!$ notice, this list of conditions, and the following disclaimer in the
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!!$ documentation and/or other materials provided with the distribution.
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!!$ 3. The name of the MLD2P4 group or the names of its contributors may
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!!$ not be used to endorse or promote products derived from this
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!!$ software without specific written permission.
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!!$
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!!$ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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!!$ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
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!!$ TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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!!$ PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE MLD2P4 GROUP OR ITS CONTRIBUTORS
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!!$ BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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!!$ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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!!$ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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!!$ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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!!$ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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!!$ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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!!$ POSSIBILITY OF SUCH DAMAGE.
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!!$
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!!$
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! File mld_ssub_solve.f90
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!
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! Subroutine: mld_ssub_solve
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! Version: real
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!
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! This routine computes
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!
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! Y = beta*Y + alpha*op(K^(-1))*X,
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!
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! where
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! - K is a factored matrix, as specified below,
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! - op(K^(-1)) is K^(-1) or its transpose, according to the value of the
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! argument trans,
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! - X and Y are vectors,
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! - alpha and beta are scalars.
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!
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! Depending on K, alpha and beta (and on the communication descriptor desc_data
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! - see the arguments below), the above computation may correspond to one of
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! the following tasks:
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!
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! 1. approximate solution of a linear system
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!
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! A*Y = X,
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!
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! by using the L and U factors computed with an ILU factorization of A.
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! In this case K = L*U ~ A, alpha = 1 and beta = 0. The factors L and U
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! (and the matrix A) are either distributed and block-diagonal or replicated.
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!
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! 2. Solution of a linear system
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!
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! A*Y = X,
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!
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! by using the L and U factors computed with a LU factorization of A. In this
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! case K = L*U = A, alpha = 1 and beta = 0. The LU factorization is performed
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! by one of the following auxiliary pakages:
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! a. UMFPACK,
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! b. SuperLU,
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! c. SuperLU_Dist.
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! In the cases a. and b., the factors L and U (and the matrix A) are either
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! distributed and block diagonal) or replicated; in the case c., L, U (and A)
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! are distributed.
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!
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! This routine is used by mld_ssub_aply, to apply a 'base' block-Jacobi or
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! Additive Schwarz (AS) preconditioner at any level of a multilevel preconditioner,
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! or a block-Jacobi or LU or ILU solver at the coarsest level of a multilevel
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! preconditioner.
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!
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!
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! Arguments:
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!
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! alpha - real(psb_spk_), input.
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! The scalar alpha.
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! prec - type(mld_sbaseprec_type), input.
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! The 'base preconditioner' data structure containing the local
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! part of the L and U factors of the matrix A.
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! x - real(psb_spk_), dimension(:), input.
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! The local part of the vector X.
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! beta - real(psb_spk_), input.
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! The scalar beta.
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! y - real(psb_spk_), dimension(:), input/output.
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! The local part of the vector Y.
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! desc_data - type(psb_desc_type), input.
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! The communication descriptor associated to the matrix to be
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! preconditioned or 'inverted'.
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! trans - character(len=1), input.
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! If trans='N','n' then op(K^(-1)) = K^(-1);
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! if trans='T','t' then op(K^(-1)) = K^(-T) (transpose of K^(-1)).
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! If prec%iprcparm(mld_smoother_sweeps_) > 1, the value of trans provided
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! in input is ignored.
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! work - real(psb_spk_), dimension (:), target.
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! Workspace. Its size must be at least 4*psb_cd_get_local_cols(desc_data).
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! info - integer, output.
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! Error code.
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!
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subroutine mld_ssub_solve(alpha,prec,x,beta,y,desc_data,trans,work,info)
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use psb_sparse_mod
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use mld_inner_mod, mld_protect_name => mld_ssub_solve
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implicit none
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! Arguments
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type(psb_desc_type), intent(in) :: desc_data
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type(mld_sbaseprec_type), intent(in) :: prec
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real(psb_spk_),intent(in) :: x(:)
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real(psb_spk_),intent(inout) :: y(:)
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real(psb_spk_),intent(in) :: alpha,beta
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character(len=1),intent(in) :: trans
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real(psb_spk_),target, intent(inout) :: work(:)
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integer, intent(out) :: info
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! Local variables
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integer :: n_row,n_col
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real(psb_spk_), pointer :: ww(:), aux(:), tx(:),ty(:)
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integer :: ictxt,np,me,i, err_act
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character(len=20) :: name
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character :: trans_
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interface
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subroutine mld_sumf_solve(flag,m,x,b,n,ptr,info)
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use psb_sparse_mod
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integer, intent(in) :: flag,m,n,ptr
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integer, intent(out) :: info
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real(psb_spk_), intent(in) :: b(*)
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real(psb_spk_), intent(inout) :: x(*)
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end subroutine mld_sumf_solve
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end interface
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name='mld_ssub_solve'
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info = psb_success_
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call psb_erractionsave(err_act)
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ictxt=psb_cd_get_context(desc_data)
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call psb_info(ictxt, me, np)
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trans_ = psb_toupper(trans)
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select case(trans_)
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case('N')
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case('T','C')
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case default
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call psb_errpush(psb_err_iarg_invalid_i_,name)
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goto 9999
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end select
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n_row = psb_cd_get_local_rows(desc_data)
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n_col = psb_cd_get_local_cols(desc_data)
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if (n_col <= size(work)) then
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ww => work(1:n_col)
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if ((4*n_col+n_col) <= size(work)) then
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aux => work(n_col+1:)
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else
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allocate(aux(4*n_col),stat=info)
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if (info /= psb_success_) then
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info=psb_err_alloc_request_
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call psb_errpush(info,name,i_err=(/4*n_col,0,0,0,0/),&
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& a_err='real(psb_spk_)')
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goto 9999
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end if
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endif
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else
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allocate(ww(n_col),aux(4*n_col),stat=info)
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if (info /= psb_success_) then
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info=psb_err_alloc_request_
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call psb_errpush(info,name,i_err=(/5*n_col,0,0,0,0/),&
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& a_err='real(psb_spk_)')
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goto 9999
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end if
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endif
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select case(prec%iprcparm(mld_sub_solve_))
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case(mld_ilu_n_,mld_milu_n_,mld_ilu_t_)
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!
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! Apply a block-Jacobi preconditioner with ILU(k)/MILU(k)/ILU(k,t)
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! factorization of the blocks (distributed matrix) or approximately
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! solve a system through ILU(k)/MILU(k)/ILU(k,t) (replicated matrix).
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!
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select case(trans_)
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case('N')
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call psb_spsm(sone,prec%av(mld_l_pr_),x,szero,ww,desc_data,info,&
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& trans=trans_,unit='L',diag=prec%d,choice=psb_none_,work=aux)
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if (info == psb_success_) call psb_spsm(alpha,prec%av(mld_u_pr_),ww,beta,y,desc_data,info,&
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& trans=trans_,unit='U',choice=psb_none_, work=aux)
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case('T','C')
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call psb_spsm(sone,prec%av(mld_u_pr_),x,szero,ww,desc_data,info,&
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& trans=trans_,unit='L',diag=prec%d,choice=psb_none_,work=aux)
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if (info == psb_success_) call psb_spsm(alpha,prec%av(mld_l_pr_),ww,beta,y,desc_data,info,&
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& trans=trans_,unit='U',choice=psb_none_,work=aux)
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case default
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call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in ILU subsolve')
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goto 9999
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end select
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case(mld_slu_)
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!
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! Apply a block-Jacobi preconditioner with LU factorization of the
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! blocks (distributed matrix) or approximately solve a local linear
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! system through LU (replicated matrix). The SuperLU package is used
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! to apply the LU factorization in both cases.
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!
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ww(1:n_row) = x(1:n_row)
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select case(trans_)
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case('N')
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call mld_sslu_solve(0,n_row,1,ww,n_row,prec%iprcparm(mld_slu_ptr_),info)
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case('T','C')
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call mld_sslu_solve(1,n_row,1,ww,n_row,prec%iprcparm(mld_slu_ptr_),info)
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case default
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call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in SLU subsolve')
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goto 9999
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end select
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if (info == psb_success_) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)
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case(mld_sludist_)
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!
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! Solve a distributed linear system with the LU factorization.
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! The SuperLU_DIST package is used.
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!
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ww(1:n_row) = x(1:n_row)
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select case(trans_)
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case('N')
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call mld_ssludist_solve(0,n_row,1,ww,n_row,prec%iprcparm(mld_slud_ptr_),info)
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case('T','C')
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call mld_ssludist_solve(1,n_row,1,ww,n_row,prec%iprcparm(mld_slud_ptr_),info)
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case default
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call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in SLUDist subsolve')
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goto 9999
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end select
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if (info == psb_success_) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)
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case (mld_umf_)
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!
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! Apply a block-Jacobi preconditioner with LU factorization of the
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! blocks (distributed matrix) or approximately solve a local linear
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! system through LU (replicated matrix). The UMFPACK package is used
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! to apply the LU factorization in both cases.
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!
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select case(trans_)
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case('N')
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call mld_sumf_solve(0,n_row,ww,x,n_row,prec%iprcparm(mld_umf_numptr_),info)
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case('T','C')
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call mld_sumf_solve(1,n_row,ww,x,n_row,prec%iprcparm(mld_umf_numptr_),info)
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case default
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call psb_errpush(psb_err_internal_error_,name,a_err='Invalid TRANS in UMF subsolve')
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goto 9999
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end select
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if (info == psb_success_) call psb_geaxpby(alpha,ww,beta,y,desc_data,info)
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case default
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call psb_errpush(psb_err_internal_error_,name,a_err='Invalid mld_sub_solve_')
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goto 9999
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end select
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if (info /= psb_success_) then
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call psb_errpush(psb_err_internal_error_,name,a_err='Error in subsolve')
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goto 9999
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endif
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if (n_col <= size(work)) then
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if ((4*n_col+n_col) <= size(work)) then
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else
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deallocate(aux)
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endif
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else
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deallocate(ww,aux)
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endif
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call psb_erractionrestore(err_act)
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return
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9999 continue
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call psb_erractionrestore(err_act)
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if (err_act.eq.psb_act_abort_) then
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call psb_error()
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return
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end if
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return
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end subroutine mld_ssub_solve
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