!!$ !!$ !!$ MLD2P4 version 2.0 !!$ MultiLevel Domain Decomposition Parallel Preconditioners Package !!$ based on PSBLAS (Parallel Sparse BLAS version 3.3) !!$ !!$ (C) Copyright 2008, 2010, 2012, 2015 !!$ !!$ 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