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256 lines
12 KiB
Fortran
256 lines
12 KiB
Fortran
!!$
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!!$
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!!$ MLD2P4 version 1.0
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!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
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!!$ based on PSBLAS (Parallel Sparse BLAS version 2.2)
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!!$
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!!$ (C) Copyright 2008
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!!$
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!!$ Salvatore Filippone University of Rome Tor Vergata
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!!$ Alfredo Buttari University of Rome Tor Vergata
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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_zprecinit.f90
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!
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! Subroutine: mld_zprecinit
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! Version: complex
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!
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! This routine allocates and initializes the preconditioner data structure,
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! according to the preconditioner type chosen by the user.
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!
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! A default preconditioner is set for each preconditioner type
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! specified by the user:
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!
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! 'NONE', 'NOPREC' - no preconditioner
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!
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! 'DIAG' - diagonal preconditioner
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!
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! 'BJAC' - block Jacobi preconditioner, with ILU(0)
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! on the local blocks
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!
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! 'AS' - Restricted Additive Schwarz (RAS), with
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! overlap 1 and ILU(0) on the local submatrices
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!
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! 'ML' - Multilevel hybrid preconditioner (additive on the
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! same level and multiplicative through the levels),
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! with nlev levels and post-smoothing only. The block
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! Jacobi preconditioner, with ILU(0) on the local
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! blocks, is applied as post-smoother at each level
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! but the coarsest one; four sweeps of the block-Jacobi
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! solver, with ILU(0) on the blocks, are applied at
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! the coarsest level, on the distributed coarse matrix.
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!
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! For the multilevel preconditioners, the levels are numbered in increasing
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! order starting from the finest one, i.e. level 1 is the finest level.
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!
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!
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! Arguments:
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! p - type(mld_zprec_type), input/output.
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! The preconditioner data structure.
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! ptype - character(len=*), input.
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! The type of preconditioner. Its values are 'NONE',
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! 'NOPREC', 'DIAG', 'BJAC', 'AS', 'ML' (and the corresponding
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! lowercase strings).
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! info - integer, output.
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! Error code.
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! nlev - integer, optional, input.
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! The number of levels of the multilevel preconditioner.
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! If nlev is not present and ptype='ML', then nlev=2
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! is assumed. If ptype/='ML', nlev is ignored.
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!
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subroutine mld_zprecinit(p,ptype,info,nlev)
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use psb_base_mod
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use mld_prec_mod, psb_protect_name => mld_zprecinit
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implicit none
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! Arguments
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type(mld_zprec_type), intent(inout) :: p
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character(len=*), intent(in) :: ptype
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integer, intent(out) :: info
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integer, optional, intent(in) :: nlev
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! Local variables
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integer :: nlev_, ilev_
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character(len=*), parameter :: name='mld_precinit'
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info = 0
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if (allocated(p%baseprecv)) then
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call mld_precfree(p,info)
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if (info /=0) then
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! Do we want to do something?
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endif
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endif
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select case(psb_toupper(ptype(1:len_trim(ptype))))
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case ('NONE','NOPREC')
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nlev_ = 1
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ilev_ = 1
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allocate(p%baseprecv(nlev_),stat=info)
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_noprec_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_f_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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case ('DIAG')
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nlev_ = 1
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ilev_ = 1
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allocate(p%baseprecv(nlev_),stat=info)
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_diag_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_f_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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case ('BJAC')
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nlev_ = 1
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ilev_ = 1
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allocate(p%baseprecv(nlev_),stat=info)
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_bjac_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_ilu_n_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_sub_fill_in_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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case ('AS')
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nlev_ = 1
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ilev_ = 1
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allocate(p%baseprecv(nlev_),stat=info)
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_as_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_ilu_n_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_halo_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 1
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p%baseprecv(ilev_)%iprcparm(mld_sub_fill_in_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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case ('ML')
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if (present(nlev)) then
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nlev_ = max(1,nlev)
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else
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nlev_ = 2
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end if
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ilev_ = 1
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allocate(p%baseprecv(nlev_),stat=info)
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%rprcparm(:) = dzero
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_as_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_ilu_n_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_halo_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_sub_fill_in_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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if (nlev_ == 1) return
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do ilev_ = 2, nlev_ -1
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%rprcparm(:) = dzero
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_bjac_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_ml_type_) = mld_mult_ml_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_alg_) = mld_dec_aggr_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_kind_) = mld_smooth_prol_
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p%baseprecv(ilev_)%iprcparm(mld_coarse_mat_) = mld_distr_mat_
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p%baseprecv(ilev_)%iprcparm(mld_smooth_pos_) = mld_post_smooth_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_eig_) = mld_max_norm_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_ilu_n_
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p%baseprecv(ilev_)%iprcparm(mld_sub_fill_in_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 1
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p%baseprecv(ilev_)%rprcparm(mld_aggr_damp_) = 4.d0/3.d0
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end do
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ilev_ = nlev_
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if (info == 0) call psb_realloc(mld_ifpsz_,p%baseprecv(ilev_)%iprcparm,info)
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if (info == 0) call psb_realloc(mld_rfpsz_,p%baseprecv(ilev_)%rprcparm,info)
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if (info /= 0) return
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p%baseprecv(ilev_)%iprcparm(:) = 0
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p%baseprecv(ilev_)%rprcparm(:) = dzero
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p%baseprecv(ilev_)%iprcparm(mld_prec_type_) = mld_bjac_
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p%baseprecv(ilev_)%iprcparm(mld_sub_restr_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_prol_) = psb_none_
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p%baseprecv(ilev_)%iprcparm(mld_sub_ren_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_n_ovr_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_ml_type_) = mld_mult_ml_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_alg_) = mld_dec_aggr_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_kind_) = mld_smooth_prol_
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p%baseprecv(ilev_)%iprcparm(mld_coarse_mat_) = mld_distr_mat_
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p%baseprecv(ilev_)%iprcparm(mld_smooth_pos_) = mld_post_smooth_
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p%baseprecv(ilev_)%iprcparm(mld_aggr_eig_) = mld_max_norm_
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p%baseprecv(ilev_)%iprcparm(mld_sub_solve_) = mld_ilu_n_
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p%baseprecv(ilev_)%iprcparm(mld_sub_fill_in_) = 0
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p%baseprecv(ilev_)%iprcparm(mld_smooth_sweeps_) = 4
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p%baseprecv(ilev_)%rprcparm(mld_aggr_damp_) = 4.d0/3.d0
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case default
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write(0,*) name,': Warning: Unknown preconditioner type request "',ptype,'"'
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info = 2
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end select
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end subroutine mld_zprecinit
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