!!$ !!$ !!$ MLD2P4 version 2.0 !!$ MultiLevel Domain Decomposition Parallel Preconditioners Package !!$ based on PSBLAS (Parallel Sparse BLAS version 3.0) !!$ !!$ (C) Copyright 2008,2009,2010 !!$ !!$ 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. !!$ !!$ ! File: mld_sumf_bld.f90 ! ! Subroutine: mld_sumf_bld ! Version: real ! ! This routine computes the LU factorization of the local part of the matrix ! stored into a, by using UMFPACK. ! ! The local matrix to be factorized is ! - either a submatrix of the distributed matrix corresponding to any level ! of a multilevel preconditioner, and its factorization is used to build ! the 'base preconditioner' corresponding to that level, ! - or a copy of the whole matrix corresponding to the coarsest level of ! a multilevel preconditioner, and its factorization is used to build ! the 'base preconditioner' corresponding to the coarsest level. ! ! The data structures allocated by UMFPACK to compute the symbolic and the ! numeric factorization are pointed by p%iprcparm(mld_umf_symptr_) and ! p%iprcparm(mld_umf_numptr_). ! ! ! Arguments: ! a - type(psb_sspmat_type), input/output. ! The sparse matrix structure containing the local submatrix ! to be factorized. Note that a is intent(inout), and not only ! intent(in), since the row and column indices of the matrix ! stored in a are shifted by -1, and then again by +1, by the ! routine mld_sumf_fact, which is an interface to the UMFPACK ! C code performing the factorization. ! desc_a - type(psb_desc_type), input. ! The communication descriptor associated to a. ! p - type(mld_sbaseprec_type), input/output. ! The 'base preconditioner' data structure containing the pointers, ! p%iprcparm(mld_umf_symptr_) and p%iprcparm(mld_umf_numptr_), ! to the data structures used by UMFPACK for computing the LU ! factorization. ! info - integer, output. ! Error code. ! subroutine mld_sumf_bld(a,desc_a,p,info) use psb_sparse_mod use mld_s_inner_mod, mld_protect_name => mld_sumf_bld implicit none ! Arguments type(psb_sspmat_type), intent(inout) :: a type(psb_desc_type), intent(in) :: desc_a type(mld_sbaseprec_type), intent(inout) :: p integer, intent(out) :: info ! Local variables integer :: ictxt,me,np,err_act character(len=20) :: name, ch_err info=psb_success_ name='mld_sumf_bld' call psb_erractionsave(err_act) ictxt = psb_cd_get_context(desc_a) call psb_info(ictxt, me, np) ! ! Compute the LU factorization ! select type(aa=>a%a) !!$ type is (psb_s_csc_sparse_mat) !!$ call mld_sumf_fact(aa%m,aa%get_nzeros(),& !!$ & aa%val,aa%ia,aa%icp,& !!$ & p%iprcparm(mld_umf_symptr_),p%iprcparm(mld_umf_numptr_),info) !!$ !!$ if (info /= psb_success_) then !!$ info=4110 !!$ call psb_errpush(info,name,a_err='mld_umf_fact',i_err=(/info,0,0,0,0/)) !!$ goto 9999 !!$ end if class default info=psb_err_unsupported_format_ ch_err = aa%get_fmt() call psb_errpush(info,name,a_err=ch_err) goto 9999 end select call psb_erractionrestore(err_act) return 9999 continue call psb_erractionrestore(err_act) if (err_act.eq.psb_act_abort_) then call psb_error() return end if return end subroutine mld_sumf_bld