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378 lines
12 KiB
Fortran
378 lines
12 KiB
Fortran
!!$
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!!$
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!!$ MLD2P4 version 2.0
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!!$ MultiLevel Domain Decomposition Parallel Preconditioners Package
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!!$ based on PSBLAS (Parallel Sparse BLAS version 3.0)
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!!$
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!!$ (C) Copyright 2008,2009,2010,2012,2013
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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_sexample_ml.f90
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!
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! This sample program solves a linear system by using BiCGStab coupled with
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! one of the following multi-level preconditioner, as explained in Section 6.1
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! of the MLD2P4 User's and Reference Guide:
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! - choice = 1, default multi-level Schwarz preconditioner (Sec. 6.1, Fig. 2)
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! - choice = 2, hybrid three-level Schwarz preconditioner (Sec. 6.1, Fig. 3)
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! - choice = 3, additive three-level Schwarz preconditioner (Sec. 6.1, Fig. 4)
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!
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! The matrix and the rhs are read from files (if an rhs is not available, the
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! unit rhs is set).
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!
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program mld_sexample_ml
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use psb_base_mod
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use mld_prec_mod
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use psb_krylov_mod
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use psb_util_mod
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use data_input
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implicit none
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! input file parameters
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character(len=40) :: mtrx_file, rhs_file
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character(len=2) :: filefmt
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! sparse matrices
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type(psb_sspmat_type) :: A, aux_A
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! descriptor of sparse matrices
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type(psb_desc_type):: desc_A
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! preconditioner
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type(mld_sprec_type) :: P
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! right-hand side, solution and residual vectors
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real(psb_spk_), allocatable , save :: b(:), x(:), r(:), &
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& x_glob(:), r_glob(:)
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real(psb_spk_), allocatable, target :: aux_b(:,:)
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real(psb_spk_), pointer :: b_glob(:)
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! solver and preconditioner parameters
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real(psb_spk_) :: tol, err
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integer :: itmax, iter, istop
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integer :: nlev
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! parallel environment parameters
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integer :: ictxt, iam, np
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! other variables
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integer :: choice
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integer :: i,info,j,m_problem
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integer(psb_long_int_k_) :: amatsize, precsize, descsize
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integer :: ierr, ircode
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real(psb_dpk_) :: t1, t2, tprec
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real(psb_spk_) :: resmx, resmxp
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character(len=20) :: name
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integer, parameter :: iunit=12
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! initialize the parallel environment
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call psb_init(ictxt)
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call psb_info(ictxt,iam,np)
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if (iam < 0) then
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! This should not happen, but just in case
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call psb_exit(ictxt)
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stop
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endif
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name='mld_sexample_ml'
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if(psb_get_errstatus() /= 0) goto 9999
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info=psb_success_
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call psb_set_errverbosity(2)
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!
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! Hello world
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!
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if (iam == psb_root_) then
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write(*,*) 'Welcome to MLD2P4 version: ',mld_version_string_
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write(*,*) 'This is the ',trim(name),' sample program'
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end if
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! get parameters
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call get_parms(ictxt,mtrx_file,rhs_file,filefmt,choice,itmax,tol)
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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! read and assemble the matrix A and the right-hand side b
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! using PSBLAS routines for sparse matrix / vector management
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if (iam == psb_root_) then
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select case(psb_toupper(filefmt))
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case('MM')
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! For Matrix Market we have an input file for the matrix
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! and an (optional) second file for the RHS.
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call mm_mat_read(aux_a,info,iunit=iunit,filename=mtrx_file)
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if (info == psb_success_) then
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if (rhs_file /= 'NONE') then
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call mm_vet_read(aux_b,info,iunit=iunit,filename=rhs_file)
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end if
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end if
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case ('HB')
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! For Harwell-Boeing we have a single file which may or may not
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! contain an RHS.
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call hb_read(aux_a,info,iunit=iunit,b=aux_b,filename=mtrx_file)
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case default
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info = -1
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write(0,*) 'Wrong choice for fileformat ', filefmt
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end select
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if (info /= psb_success_) then
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write(0,*) 'Error while reading input matrix '
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call psb_abort(ictxt)
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end if
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m_problem = aux_a%get_nrows()
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call psb_bcast(ictxt,m_problem)
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! At this point aux_b may still be unallocated
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if (psb_size(aux_b,1) == m_problem) then
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! if any rhs were present, broadcast the first one
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write(0,'("Ok, got an rhs ")')
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b_glob =>aux_b(:,1)
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else
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write(*,'("Generating an rhs...")')
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write(*,'(" ")')
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call psb_realloc(m_problem,1,aux_b,ircode)
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if (ircode /= 0) then
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call psb_errpush(psb_err_alloc_dealloc_,name)
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goto 9999
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endif
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b_glob => aux_b(:,1)
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do i=1, m_problem
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b_glob(i) = 1.d0
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enddo
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endif
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call psb_bcast(ictxt,b_glob(1:m_problem))
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else
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call psb_bcast(ictxt,m_problem)
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call psb_realloc(m_problem,1,aux_b,ircode)
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if (ircode /= 0) then
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call psb_errpush(psb_err_alloc_dealloc_,name)
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goto 9999
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endif
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b_glob =>aux_b(:,1)
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call psb_bcast(ictxt,b_glob(1:m_problem))
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end if
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call psb_barrier(ictxt)
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if (iam == psb_root_) write(*,'("Partition type: block")')
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call psb_matdist(aux_A, A, ictxt, &
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& desc_A,b_glob,b,info, parts=part_block)
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t2 = psb_wtime() - t1
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call psb_amx(ictxt, t2)
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if (iam == psb_root_) then
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write(*,'(" ")')
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write(*,'("Time to read and partition matrix : ",es12.5)')t2
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write(*,'(" ")')
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end if
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select case(choice)
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case(1)
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! initialize the default multi-level preconditioner, i.e. hybrid
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! Schwarz, using RAS (with overlap 1 and ILU(0) on the blocks)
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! as post-smoother and 4 block-Jacobi sweeps (with UMFPACK LU
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! on the blocks) as distributed coarse-level solver
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call mld_precinit(P,'ML',info)
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case(2)
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! set a three-level hybrid Schwarz preconditioner, which uses
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! block Jacobi (with ILU(0) on the blocks) as post-smoother,
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! a coarsest matrix replicated on the processors, and the
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! LU factorization from UMFPACK as coarse-level solver
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call mld_precinit(P,'ML',info,nlev=3)
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call mld_precset(P,mld_smoother_type_,'BJAC',info)
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call mld_precset(P,mld_coarse_mat_,'REPL',info)
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call mld_precset(P,mld_coarse_solve_,'UMF',info)
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case(3)
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! set a three-level additive Schwarz preconditioner, which uses
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! RAS (with overlap 1 and ILU(0) on the blocks) as pre- and
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! post-smoother, and 5 block-Jacobi sweeps (with UMFPACK LU
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! on the blocks) as distributed coarsest-level solver
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call mld_precinit(P,'ML',info,nlev=3)
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call mld_precset(P,mld_ml_type_,'ADD',info)
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call mld_precset(P,mld_smoother_pos_,'TWOSIDE',info)
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call mld_precset(P,mld_coarse_sweeps_,5,info)
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end select
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! build the preconditioner
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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call mld_precbld(A,desc_A,P,info)
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tprec = psb_wtime()-t1
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call psb_amx(ictxt, tprec)
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if (info /= psb_success_) then
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call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_precbld')
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goto 9999
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end if
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! set the initial guess
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call psb_geall(x,desc_A,info)
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x(:) =0.0
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call psb_geasb(x,desc_A,info)
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! solve Ax=b with preconditioned BiCGSTAB
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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call psb_krylov('BICGSTAB',A,P,b,x,tol,desc_A,info,itmax,iter,err,itrace=1,istop=2)
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t2 = psb_wtime() - t1
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call psb_amx(ictxt,t2)
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call psb_geall(r,desc_A,info)
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r(:) =0.0
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call psb_geasb(r,desc_A,info)
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call psb_geaxpby(sone,b,szero,r,desc_A,info)
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call psb_spmm(-sone,A,x,sone,r,desc_A,info)
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call psb_genrm2s(resmx,r,desc_A,info)
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call psb_geamaxs(resmxp,r,desc_A,info)
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amatsize = a%sizeof()
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descsize = desc_a%sizeof()
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precsize = p%sizeof()
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call psb_sum(ictxt,amatsize)
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call psb_sum(ictxt,descsize)
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call psb_sum(ictxt,precsize)
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call mld_precdescr(P,info)
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if (iam == psb_root_) then
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write(*,'(" ")')
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write(*,'("Matrix: ",A)')mtrx_file
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write(*,'("Computed solution on ",i8," processors")')np
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write(*,'("Iterations to convergence : ",i6)')iter
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write(*,'("Error estimate on exit : ",es12.5)')err
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write(*,'("Time to build prec. : ",es12.5)')tprec
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write(*,'("Time to solve system : ",es12.5)')t2
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write(*,'("Time per iteration : ",es12.5)')t2/(iter)
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write(*,'("Total time : ",es12.5)')t2+tprec
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write(*,'("Residual 2-norm : ",es12.5)')resmx
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write(*,'("Residual inf-norm : ",es12.5)')resmxp
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write(*,'("Total memory occupation for A : ",i12)')amatsize
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write(*,'("Total memory occupation for DESC_A : ",i12)')descsize
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write(*,'("Total memory occupation for PREC : ",i12)')precsize
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end if
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call psb_gather(x_glob,x_col,desc_a,info,root=psb_root_)
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if (info == psb_success_) &
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& call psb_gather(r_glob,r_col,desc_a,info,root=psb_root_)
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if (info /= psb_success_) goto 9999
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if (iam == psb_root_) then
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write(0,'(" ")')
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write(0,'("Saving x on file")')
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write(20,*) 'matrix: ',mtrx_file
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write(20,*) 'computed solution on ',np,' processors.'
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write(20,*) 'iterations to convergence: ',iter
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write(20,*) 'error estimate (infinity norm) on exit:', &
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& ' ||r||/(||a||||x||+||b||) = ',err
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write(20,*) 'max residual = ',resmx, resmxp
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write(20,'(a8,4(2x,a20))') 'I','X(I)','R(I)','B(I)'
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do i=1,m_problem
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write(20,998) i,x_glob(i),r_glob(i),b_glob(i)
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enddo
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end if
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998 format(i8,4(2x,g20.14))
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993 format(i6,4(1x,e12.6))
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! deallocate the data structures
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call psb_gefree(b, desc_A,info)
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call psb_gefree(x, desc_A,info)
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call psb_spfree(A, desc_A,info)
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call mld_precfree(P,info)
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call psb_cdfree(desc_A,info)
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9999 continue
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if(info /= psb_success_) then
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call psb_error(ictxt)
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end if
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call psb_exit(ictxt)
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stop
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contains
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!
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! get parameters from standard input
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!
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subroutine get_parms(ictxt,mtrx,rhs,filefmt,choice,itmax,tol)
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use psb_base_mod
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implicit none
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integer :: ictxt, choice, itmax
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real(psb_spk_) :: tol
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character(len=*) :: mtrx, rhs,filefmt
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integer :: iam, np
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call psb_info(ictxt,iam,np)
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if (iam == psb_root_) then
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! read input parameters
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call read_data(mtrx,5)
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call read_data(rhs,5)
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call read_data(filefmt,5)
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call read_data(choice,5)
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call read_data(itmax,5)
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call read_data(tol,5)
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end if
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call psb_bcast(ictxt,mtrx)
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call psb_bcast(ictxt,rhs)
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call psb_bcast(ictxt,filefmt)
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call psb_bcast(ictxt,choice)
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call psb_bcast(ictxt,itmax)
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call psb_bcast(ictxt,tol)
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end subroutine get_parms
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end program mld_sexample_ml
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