!!$ !!$ !!$ MLD2P4 version 2.1 !!$ MultiLevel Domain Decomposition Parallel Preconditioners Package !!$ based on PSBLAS (Parallel Sparse BLAS version 3.4) !!$ !!$ (C) Copyright 2008, 2010, 2012, 2015, 2017 !!$ !!$ Salvatore Filippone Cranfield University !!$ Ambra Abdullahi Hassan University of Rome Tor Vergata !!$ Alfredo Buttari CNRS-IRIT, Toulouse !!$ Pasqua D'Ambra ICAR-CNR, Naples !!$ Daniela di Serafino University of Campania "L. Vanvitelli", Caserta !!$ !!$ 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. 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File: mld_dprecinit.f90 ! ! Subroutine: mld_dprecinit ! Version: real ! ! This routine allocates and initializes the preconditioner data structure, ! according to the preconditioner type chosen by the user. ! ! A default preconditioner is set for each preconditioner type ! specified by the user: ! ! 'NOPREC' - no preconditioner ! ! 'DIAG' - diagonal preconditioner ! ! 'PJAC' - point Jacobi preconditioner ! ! 'BJAC' - block Jacobi preconditioner, with ILU(0) ! on the local blocks ! ! 'AS' - Restricted Additive Schwarz (RAS), with ! overlap 1 and ILU(0) on the local submatrices ! ! 'ML' - Multilevel hybrid preconditioner (additive on the ! same level and multiplicative through the levels), ! with 2 levels, pre and post-smoothing, RAS with ! overlap 1 and ILU(0) on the local blocks is ! applied as post-smoother at each level, but the ! coarsest one; four sweeps of the block-Jacobi solver, ! with LU from UMFPACK on the blocks, are applied at ! the coarsest level, on the distributed coarse matrix. ! The smoothed aggregation algorithm with threshold 0 ! is used to build the coarse matrix. ! ! For the multilevel preconditioners, the levels are numbered in increasing ! order starting from the finest one, i.e. level 1 is the finest level. ! ! ! Arguments: ! p - type(mld_dprec_type), input/output. ! The preconditioner data structure. ! ptype - character(len=*), input. ! The type of preconditioner. Its values are 'NOPREC', ! 'DIAG', 'BJAC', 'AS', 'ML' (and the corresponding ! lowercase strings). ! info - integer, output. ! Error code. ! nlev - integer, optional, input. ! The number of levels of the multilevel preconditioner. ! If nlev is not present and ptype='ML', then nlev=2 ! is assumed. If ptype /= 'ML', nlev is ignored. ! subroutine mld_dprecinit(p,ptype,info,nlev) use psb_base_mod use mld_d_prec_mod, mld_protect_name => mld_dprecinit use mld_d_jac_smoother use mld_d_as_smoother use mld_d_id_solver use mld_d_diag_solver use mld_d_ilu_solver #if defined(HAVE_UMF_) use mld_d_umf_solver #endif #if defined(HAVE_SLU_) use mld_d_slu_solver #endif implicit none ! Arguments type(mld_dprec_type), intent(inout) :: p character(len=*), intent(in) :: ptype integer(psb_ipk_), intent(out) :: info integer(psb_ipk_), optional, intent(in) :: nlev ! Local variables integer(psb_ipk_) :: nlev_, ilev_ real(psb_dpk_) :: thr, scale character(len=*), parameter :: name='mld_precinit' info = psb_success_ if (allocated(p%precv)) then call mld_precfree(p,info) if (info /= psb_success_) then ! Do we want to do something? endif endif p%coarse_aggr_size = -1 select case(psb_toupper(ptype(1:len_trim(ptype)))) case ('NOPREC','NONE') nlev_ = 1 ilev_ = 1 allocate(p%precv(nlev_),stat=info) allocate(mld_d_base_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_id_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() case ('JAC','DIAG','JACOBI') nlev_ = 1 ilev_ = 1 allocate(p%precv(nlev_),stat=info) allocate(mld_d_jac_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_diag_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() case ('BJAC') nlev_ = 1 ilev_ = 1 allocate(p%precv(nlev_),stat=info) allocate(mld_d_jac_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() case ('AS') nlev_ = 1 ilev_ = 1 allocate(p%precv(nlev_),stat=info) allocate(mld_d_as_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() case ('ML') if (present(nlev)) then nlev_ = max(1,nlev) p%max_prec_levs = nlev_ else nlev_ = p%max_prec_levs end if ilev_ = 1 allocate(p%precv(nlev_),stat=info) allocate(mld_d_as_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() if (nlev_ == 1) return do ilev_ = 2, nlev_ -1 allocate(mld_d_as_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return allocate(mld_d_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) call p%precv(ilev_)%default() end do ilev_ = nlev_ allocate(mld_d_jac_smoother_type :: p%precv(ilev_)%sm, stat=info) if (info /= psb_success_) return #if defined(HAVE_UMF_) allocate(mld_d_umf_solver_type :: p%precv(ilev_)%sm%sv, stat=info) #elif defined(HAVE_SLU_) allocate(mld_d_slu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) #else allocate(mld_d_ilu_solver_type :: p%precv(ilev_)%sm%sv, stat=info) #endif call p%precv(ilev_)%default() p%precv(ilev_)%parms%coarse_solve = mld_bjac_ call p%precv(ilev_)%set(mld_smoother_sweeps_,4_psb_ipk_,info) call p%precv(ilev_)%set(mld_sub_restr_,psb_none_,info) call p%precv(ilev_)%set(mld_sub_prol_,psb_none_,info) call p%precv(ilev_)%set(mld_sub_ovr_,izero,info) thr = 0.05_psb_dpk_ scale = 1.0_psb_dpk_ do ilev_=1,nlev_ call p%precv(ilev_)%set(mld_aggr_thresh_,thr,info) call p%precv(ilev_)%set(mld_aggr_scale_,scale,info) call p%precv(ilev_)%set(mld_aggr_filter_,mld_filter_mat_,info) end do case default write(psb_err_unit,*) name,& &': Warning: Unknown preconditioner type request "',ptype,'"' info = psb_err_pivot_too_small_ end select end subroutine mld_dprecinit