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783 lines
26 KiB
Fortran
783 lines
26 KiB
Fortran
!!$
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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 PSBLAS 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 PSBLAS 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: ppde.f90
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!
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! Program: ppde
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! This sample program shows how to build and solve a sparse linear
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!
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! The program solves a linear system based on the partial differential
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! equation
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!
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!
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!
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! The equation generated is
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!
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! b1 d d (u) b2 d d (u) a1 d (u)) a2 d (u)))
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! - ------ - ------ + ----- + ------ + a3 u = 0
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! dx dx dy dy dx dy
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!
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!
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! with Dirichlet boundary conditions on the unit cube
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!
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! 0<=x,y,z<=1
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!
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! The equation is discretized with finite differences and uniform stepsize;
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! the resulting discrete equation is
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!
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! ( u(x,y,z)(2b1+2b2+a1+a2)+u(x-1,y)(-b1-a1)+u(x,y-1)(-b2-a2)+
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! -u(x+1,y)b1-u(x,y+1)b2)*(1/h**2)
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!
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! Example taken from: C.T.Kelley
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! Iterative Methods for Linear and Nonlinear Equations
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! SIAM 1995
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!
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!
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! In this sample program the index space of the discretized
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! computational domain is first numbered sequentially in a standard way,
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! then the corresponding vector is distributed according to a BLOCK
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! data distribution.
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!
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! Boundary conditions are set in a very simple way, by adding
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! equations of the form
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!
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! u(x,y) = rhs(x,y)
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!
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module data_input
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interface read_data
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module procedure read_char, read_int, read_double
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end interface read_data
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contains
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subroutine read_char(val,file)
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character(len=*), intent(out) :: val
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integer, intent(in) :: file
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character(len=1024) :: charbuf
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integer :: idx
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read(file,'(a)')charbuf
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charbuf = adjustl(charbuf)
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idx=index(charbuf,"!")
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read(charbuf(1:idx-1),'(a)') val
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!!$ write(0,*) 'read_char got value: "',val,'"'
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end subroutine read_char
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subroutine read_int(val,file)
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integer, intent(out) :: val
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integer, intent(in) :: file
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character(len=1024) :: charbuf
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integer :: idx
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read(file,'(a)')charbuf
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charbuf = adjustl(charbuf)
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idx=index(charbuf,"!")
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read(charbuf(1:idx-1),*) val
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!!$ write(0,*) 'read_int got value: ',val
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end subroutine read_int
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subroutine read_double(val,file)
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use psb_base_mod
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real(psb_dpk_), intent(out) :: val
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integer, intent(in) :: file
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character(len=1024) :: charbuf
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integer :: idx
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read(file,'(a)')charbuf
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charbuf = adjustl(charbuf)
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idx=index(charbuf,"!")
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read(charbuf(1:idx-1),*) val
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!!$ write(0,*) 'read_double got value: ',val
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end subroutine read_double
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end module data_input
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program ppde
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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 parameters
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character(len=20) :: kmethd, ptype
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character(len=5) :: afmt
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integer :: idim
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! miscellaneous
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real(psb_dpk_), parameter :: one = 1.d0
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real(psb_dpk_) :: t1, t2, tprec
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! sparse matrix and preconditioner
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type(psb_dspmat_type) :: a
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type(mld_dprec_type) :: prec
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! descriptor
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type(psb_desc_type) :: desc_a
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! dense matrices
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real(psb_dpk_), allocatable :: b(:), x(:)
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! blacs parameters
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integer :: ictxt, iam, np
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! solver parameters
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integer :: iter, itmax,itrace, istopc, irst, nlv
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real(psb_dpk_) :: err, eps
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type precdata
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character(len=20) :: descr ! verbose description of the prec
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character(len=10) :: prec ! overall prectype
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integer :: novr ! number of overlap layers
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character(len=16) :: restr ! restriction over application of as
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character(len=16) :: prol ! prolongation over application of as
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character(len=16) :: solve ! Factorization type: ILU, SuperLU, UMFPACK.
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integer :: fill1 ! Fill-in for factorization 1
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real(psb_dpk_) :: thr1 ! Threshold for fact. 1 ILU(T)
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integer :: nlev ! Number of levels in multilevel prec.
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character(len=16) :: aggrkind ! smoothed/raw aggregatin
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character(len=16) :: aggr_alg ! local or global aggregation
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character(len=16) :: mltype ! additive or multiplicative 2nd level prec
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character(len=16) :: smthpos ! side: pre, post, both smoothing
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character(len=16) :: cmat ! coarse mat
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character(len=16) :: csolve ! Factorization type: ILU, SuperLU, UMFPACK.
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integer :: cfill ! Fill-in for factorization 1
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real(psb_dpk_) :: cthres ! Threshold for fact. 1 ILU(T)
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integer :: cjswp ! Jacobi sweeps
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real(psb_dpk_) :: omega ! smoother omega
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end type precdata
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type(precdata) :: prectype
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! other variables
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integer :: info
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character(len=20) :: name,ch_err
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info=0
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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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if(psb_get_errstatus() /= 0) goto 9999
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name='pde90'
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call psb_set_errverbosity(2)
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!
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! get parameters
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!
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call get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst)
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!
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! allocate and fill in the coefficient matrix, rhs and initial guess
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!
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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call create_matrix(idim,a,b,x,desc_a,part_block,ictxt,afmt,info)
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t2 = psb_wtime() - t1
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if(info /= 0) then
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info=4010
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ch_err='create_matrix'
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call psb_errpush(info,name,a_err=ch_err)
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goto 9999
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end if
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call psb_amx(ictxt,t2)
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if (iam == psb_root_) write(*,'("Overall matrix creation time : ",es10.4)')t2
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if (iam == psb_root_) write(*,'(" ")')
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!
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! prepare the preconditioner.
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!
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if (psb_toupper(prectype%prec) =='ML') then
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nlv = prectype%nlev
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else
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nlv = 1
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end if
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call mld_precinit(prec,prectype%prec,info,nlev=nlv)
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call mld_precset(prec,mld_sub_ovr_,prectype%novr,info)
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call mld_precset(prec,mld_sub_restr_,prectype%restr,info)
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call mld_precset(prec,mld_sub_prol_,prectype%prol,info)
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call mld_precset(prec,mld_sub_solve_,prectype%solve,info)
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call mld_precset(prec,mld_sub_fillin_,prectype%fill1,info)
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call mld_precset(prec,mld_fact_thrs_,prectype%thr1,info)
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if (psb_toupper(prectype%prec) =='ML') then
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call mld_precset(prec,mld_aggr_kind_,prectype%aggrkind,info)
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call mld_precset(prec,mld_aggr_alg_,prectype%aggr_alg,info)
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call mld_precset(prec,mld_ml_type_,prectype%mltype,info)
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call mld_precset(prec,mld_ml_type_,prectype%mltype,info)
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call mld_precset(prec,mld_smoother_pos_,prectype%smthpos,info)
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call mld_precset(prec,mld_coarse_mat_,prectype%cmat,info)
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call mld_precset(prec,mld_coarse_solve_,prectype%csolve,info)
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call mld_precset(prec,mld_sub_fillin_,prectype%cfill,info,ilev=nlv)
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call mld_precset(prec,mld_fact_thrs_,prectype%cthres,info,ilev=nlv)
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call mld_precset(prec,mld_smoother_sweeps_,prectype%cjswp,info,ilev=nlv)
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call mld_precset(prec,mld_smoother_sweeps_,prectype%cjswp,info,ilev=nlv)
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if (prectype%omega>=0.0) then
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call mld_precset(prec,mld_aggr_damp_,prectype%omega,info,ilev=nlv)
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end if
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end if
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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,prec,info)
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if(info /= 0) then
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info=4010
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ch_err='psb_precbld'
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call psb_errpush(info,name,a_err=ch_err)
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goto 9999
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end if
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tprec = psb_wtime()-t1
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call psb_amx(ictxt,tprec)
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if (iam == psb_root_) write(*,'("Preconditioner time : ",es10.4)')tprec
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if (iam == psb_root_) call mld_precdescr(prec)
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if (iam == psb_root_) write(*,'(" ")')
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!
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! iterative method parameters
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!
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if(iam == psb_root_) write(*,'("Calling iterative method ",a)')kmethd
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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eps = 1.d-9
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call psb_krylov(kmethd,a,prec,b,x,eps,desc_a,info,&
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& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,irst=irst)
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if(info /= 0) then
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info=4010
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ch_err='solver routine'
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call psb_errpush(info,name,a_err=ch_err)
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goto 9999
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end if
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call psb_barrier(ictxt)
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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 solve matrix : ",es10.4)')t2
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write(*,'("Time per iteration : ",es10.4)')t2/iter
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write(*,'("Number of iterations : ",i0)')iter
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write(*,'("Convergence indicator on exit : ",es10.4)')err
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write(*,'("Info on exit : ",i0)')info
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end if
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!
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! cleanup storage and exit
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!
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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(prec,info)
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call psb_cdfree(desc_a,info)
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if(info /= 0) then
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info=4010
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ch_err='free routine'
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call psb_errpush(info,name,a_err=ch_err)
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goto 9999
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end if
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9999 continue
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if(info /= 0) 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 iteration parameters from the command line
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!
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subroutine get_parms(ictxt,kmethd,prectype,afmt,idim,istopc,itmax,itrace,irst)
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integer :: ictxt
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type(precdata) :: prectype
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character(len=*) :: kmethd, afmt
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integer :: idim, istopc,itmax,itrace,irst
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integer :: np, iam, info
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character(len=20) :: buffer
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call psb_info(ictxt, iam, np)
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if (iam==psb_root_) then
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call read_data(kmethd,5)
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call read_data(afmt,5)
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call read_data(idim,5)
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call read_data(istopc,5)
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call read_data(itmax,5)
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call read_data(itrace,5)
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call read_data(irst,5)
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call read_data(eps,5)
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call read_data(prectype%descr,5) ! verbose description of the prec
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call read_data(prectype%prec,5) ! overall prectype
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call read_data(prectype%novr,5) ! number of overlap layers
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call read_data(prectype%restr,5) ! restriction over application of as
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call read_data(prectype%prol,5) ! prolongation over application of as
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call read_data(prectype%solve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
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call read_data(prectype%fill1,5) ! Fill-in for factorization 1
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call read_data(prectype%thr1,5) ! Threshold for fact. 1 ILU(T)
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if (psb_toupper(prectype%prec) == 'ML') then
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call read_data(prectype%nlev,5) ! Number of levels in multilevel prec.
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call read_data(prectype%aggrkind,5) ! smoothed/raw aggregatin
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call read_data(prectype%aggr_alg,5) ! local or global aggregation
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call read_data(prectype%mltype,5) ! additive or multiplicative 2nd level prec
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call read_data(prectype%smthpos,5) ! side: pre, post, both smoothing
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call read_data(prectype%cmat,5) ! coarse mat
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call read_data(prectype%csolve,5) ! Factorization type: ILU, SuperLU, UMFPACK.
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call read_data(prectype%cfill,5) ! Fill-in for factorization 1
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call read_data(prectype%cthres,5) ! Threshold for fact. 1 ILU(T)
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call read_data(prectype%cjswp,5) ! Jacobi sweeps
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call read_data(prectype%omega,5) ! smoother omega
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end if
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end if
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! broadcast parameters to all processors
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call psb_bcast(ictxt,kmethd)
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call psb_bcast(ictxt,afmt)
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call psb_bcast(ictxt,idim)
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call psb_bcast(ictxt,istopc)
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call psb_bcast(ictxt,itmax)
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call psb_bcast(ictxt,itrace)
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call psb_bcast(ictxt,irst)
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call psb_bcast(ictxt,prectype%descr) ! verbose description of the prec
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call psb_bcast(ictxt,prectype%prec) ! overall prectype
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call psb_bcast(ictxt,prectype%novr) ! number of overlap layers
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call psb_bcast(ictxt,prectype%restr) ! restriction over application of as
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call psb_bcast(ictxt,prectype%prol) ! prolongation over application of as
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call psb_bcast(ictxt,prectype%solve) ! Factorization type: ILU, SuperLU, UMFPACK.
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call psb_bcast(ictxt,prectype%fill1) ! Fill-in for factorization 1
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call psb_bcast(ictxt,prectype%thr1) ! Threshold for fact. 1 ILU(T)
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if (psb_toupper(prectype%prec) == 'ML') then
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call psb_bcast(ictxt,prectype%nlev) ! Number of levels in multilevel prec.
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call psb_bcast(ictxt,prectype%aggrkind) ! smoothed/raw aggregatin
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call psb_bcast(ictxt,prectype%aggr_alg) ! local or global aggregation
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call psb_bcast(ictxt,prectype%mltype) ! additive or multiplicative 2nd level prec
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call psb_bcast(ictxt,prectype%smthpos) ! side: pre, post, both smoothing
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call psb_bcast(ictxt,prectype%cmat) ! coarse mat
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call psb_bcast(ictxt,prectype%csolve) ! Factorization type: ILU, SuperLU, UMFPACK.
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call psb_bcast(ictxt,prectype%cfill) ! Fill-in for factorization 1
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call psb_bcast(ictxt,prectype%cthres) ! Threshold for fact. 1 ILU(T)
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call psb_bcast(ictxt,prectype%cjswp) ! Jacobi sweeps
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call psb_bcast(ictxt,prectype%omega) ! smoother omega
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end if
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if (iam==psb_root_) then
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write(*,'("Solving matrix : ell1")')
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write(*,'("Grid dimensions : ",i4,"x",i4,"x",i4)')idim,idim,idim
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write(*,'("Number of processors : ",i0)') np
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write(*,'("Data distribution : BLOCK")')
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write(*,'("Preconditioner : ",a)') prectype%descr
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write(*,'("Iterative method : ",a)') kmethd
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write(*,'(" ")')
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endif
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return
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end subroutine get_parms
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!
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! print an error message
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!
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subroutine pr_usage(iout)
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integer :: iout
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write(iout,*)'incorrect parameter(s) found'
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write(iout,*)' usage: pde90 methd prec dim &
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&[istop itmax itrace]'
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write(iout,*)' where:'
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write(iout,*)' methd: cgstab cgs rgmres bicgstabl'
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write(iout,*)' prec : bjac diag none'
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write(iout,*)' dim number of points along each axis'
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write(iout,*)' the size of the resulting linear '
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write(iout,*)' system is dim**3'
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write(iout,*)' istop stopping criterion 1, 2 '
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write(iout,*)' itmax maximum number of iterations [500] '
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write(iout,*)' itrace <=0 (no tracing, default) or '
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|
write(iout,*)' >= 1 do tracing every itrace'
|
|
write(iout,*)' iterations '
|
|
end subroutine pr_usage
|
|
|
|
!
|
|
! subroutine to allocate and fill in the coefficient matrix and
|
|
! the rhs.
|
|
!
|
|
subroutine create_matrix(idim,a,b,xv,desc_a,parts,ictxt,afmt,info)
|
|
!
|
|
! discretize the partial diferential equation
|
|
!
|
|
! b1 dd(u) b2 dd(u) b3 dd(u) a1 d(u) a2 d(u) a3 d(u)
|
|
! - ------ - ------ - ------ - ----- - ------ - ------ + a4 u
|
|
! dxdx dydy dzdz dx dy dz
|
|
!
|
|
! = 0
|
|
!
|
|
! boundary condition: dirichlet
|
|
! 0< x,y,z<1
|
|
!
|
|
! u(x,y,z)(2b1+2b2+2b3+a1+a2+a3)+u(x-1,y,z)(-b1-a1)+u(x,y-1,z)(-b2-a2)+
|
|
! + u(x,y,z-1)(-b3-a3)-u(x+1,y,z)b1-u(x,y+1,z)b2-u(x,y,z+1)b3
|
|
|
|
use psb_base_mod
|
|
implicit none
|
|
integer :: idim
|
|
integer, parameter :: nbmax=10
|
|
real(psb_dpk_), allocatable :: b(:),xv(:)
|
|
type(psb_desc_type) :: desc_a
|
|
integer :: ictxt, info
|
|
character :: afmt*5
|
|
interface
|
|
! .....user passed subroutine.....
|
|
subroutine parts(global_indx,n,np,pv,nv)
|
|
implicit none
|
|
integer, intent(in) :: global_indx, n, np
|
|
integer, intent(out) :: nv
|
|
integer, intent(out) :: pv(*)
|
|
end subroutine parts
|
|
end interface ! local variables
|
|
type(psb_dspmat_type) :: a
|
|
real(psb_dpk_) :: zt(nbmax),glob_x,glob_y,glob_z
|
|
integer :: m,n,nnz,glob_row
|
|
integer :: x,y,z,ia,indx_owner
|
|
integer :: np, iam
|
|
integer :: element
|
|
integer :: nv, inv
|
|
integer, allocatable :: irow(:),icol(:)
|
|
real(psb_dpk_), allocatable :: val(:)
|
|
integer, allocatable :: prv(:)
|
|
! deltah dimension of each grid cell
|
|
! deltat discretization time
|
|
real(psb_dpk_) :: deltah
|
|
real(psb_dpk_),parameter :: rhs=0.d0,one=1.d0,zero=0.d0
|
|
real(psb_dpk_) :: t1, t2, t3, tins, tasb
|
|
real(psb_dpk_) :: a1, a2, a3, a4, b1, b2, b3
|
|
external :: a1, a2, a3, a4, b1, b2, b3
|
|
integer :: err_act
|
|
! common area
|
|
|
|
character(len=20) :: name, ch_err
|
|
|
|
info = 0
|
|
name = 'create_matrix'
|
|
call psb_erractionsave(err_act)
|
|
|
|
call psb_info(ictxt, iam, np)
|
|
|
|
deltah = 1.d0/(idim-1)
|
|
|
|
! initialize array descriptor and sparse matrix storage. provide an
|
|
! estimate of the number of non zeroes
|
|
|
|
m = idim*idim*idim
|
|
n = m
|
|
nnz = ((n*9)/(np))
|
|
if(iam == psb_root_) write(0,'("Generating Matrix (size=",i0x,")...")')n
|
|
|
|
call psb_cdall(ictxt,desc_a,info,mg=n,parts=parts)
|
|
call psb_spall(a,desc_a,info,nnz=nnz)
|
|
! define rhs from boundary conditions; also build initial guess
|
|
call psb_geall(b,desc_a,info)
|
|
call psb_geall(xv,desc_a,info)
|
|
if(info /= 0) then
|
|
info=4010
|
|
ch_err='allocation rout.'
|
|
call psb_errpush(info,name,a_err=ch_err)
|
|
goto 9999
|
|
end if
|
|
|
|
! we build an auxiliary matrix consisting of one row at a
|
|
! time; just a small matrix. might be extended to generate
|
|
! a bunch of rows per call.
|
|
!
|
|
allocate(val(20*nbmax),irow(20*nbmax),&
|
|
&icol(20*nbmax),prv(np),stat=info)
|
|
if (info /= 0 ) then
|
|
info=4000
|
|
call psb_errpush(info,name)
|
|
goto 9999
|
|
endif
|
|
|
|
tins = 0.d0
|
|
call psb_barrier(ictxt)
|
|
t1 = psb_wtime()
|
|
|
|
! loop over rows belonging to current process in a block
|
|
! distribution.
|
|
|
|
! icol(1)=1
|
|
do glob_row = 1, n
|
|
call parts(glob_row,n,np,prv,nv)
|
|
do inv = 1, nv
|
|
indx_owner = prv(inv)
|
|
if (indx_owner == iam) then
|
|
! local matrix pointer
|
|
element=1
|
|
! compute gridpoint coordinates
|
|
if (mod(glob_row,(idim*idim)) == 0) then
|
|
x = glob_row/(idim*idim)
|
|
else
|
|
x = glob_row/(idim*idim)+1
|
|
endif
|
|
if (mod((glob_row-(x-1)*idim*idim),idim) == 0) then
|
|
y = (glob_row-(x-1)*idim*idim)/idim
|
|
else
|
|
y = (glob_row-(x-1)*idim*idim)/idim+1
|
|
endif
|
|
z = glob_row-(x-1)*idim*idim-(y-1)*idim
|
|
! glob_x, glob_y, glob_x coordinates
|
|
glob_x=x*deltah
|
|
glob_y=y*deltah
|
|
glob_z=z*deltah
|
|
|
|
! check on boundary points
|
|
zt(1) = 0.d0
|
|
! internal point: build discretization
|
|
!
|
|
! term depending on (x-1,y,z)
|
|
!
|
|
if (x==1) then
|
|
val(element)=-b1(glob_x,glob_y,glob_z)&
|
|
& -a1(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
zt(1) = exp(-glob_y**2-glob_z**2)*(-val(element))
|
|
else
|
|
val(element)=-b1(glob_x,glob_y,glob_z)&
|
|
& -a1(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-2)*idim*idim+(y-1)*idim+(z)
|
|
element=element+1
|
|
endif
|
|
! term depending on (x,y-1,z)
|
|
if (y==1) then
|
|
val(element)=-b2(glob_x,glob_y,glob_z)&
|
|
& -a2(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
zt(1) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
|
|
else
|
|
val(element)=-b2(glob_x,glob_y,glob_z)&
|
|
& -a2(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-1)*idim*idim+(y-2)*idim+(z)
|
|
element=element+1
|
|
endif
|
|
! term depending on (x,y,z-1)
|
|
if (z==1) then
|
|
val(element)=-b3(glob_x,glob_y,glob_z)&
|
|
& -a3(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
zt(1) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
|
|
else
|
|
val(element)=-b3(glob_x,glob_y,glob_z)&
|
|
& -a3(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-1)*idim*idim+(y-1)*idim+(z-1)
|
|
element=element+1
|
|
endif
|
|
! term depending on (x,y,z)
|
|
val(element)=2*b1(glob_x,glob_y,glob_z)&
|
|
& +2*b2(glob_x,glob_y,glob_z)&
|
|
& +2*b3(glob_x,glob_y,glob_z)&
|
|
& +a1(glob_x,glob_y,glob_z)&
|
|
& +a2(glob_x,glob_y,glob_z)&
|
|
& +a3(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-1)*idim*idim+(y-1)*idim+(z)
|
|
element=element+1
|
|
! term depending on (x,y,z+1)
|
|
if (z==idim) then
|
|
val(element)=-b1(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
zt(1) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
|
|
else
|
|
val(element)=-b1(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-1)*idim*idim+(y-1)*idim+(z+1)
|
|
element=element+1
|
|
endif
|
|
! term depending on (x,y+1,z)
|
|
if (y==idim) then
|
|
val(element)=-b2(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
zt(1) = exp(-glob_y**2-glob_z**2)*exp(-glob_x)*(-val(element))
|
|
else
|
|
val(element)=-b2(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x-1)*idim*idim+(y)*idim+(z)
|
|
element=element+1
|
|
endif
|
|
! term depending on (x+1,y,z)
|
|
if (x<idim) then
|
|
val(element)=-b3(glob_x,glob_y,glob_z)
|
|
val(element) = val(element)/(deltah*&
|
|
& deltah)
|
|
icol(element)=(x)*idim*idim+(y-1)*idim+(z)
|
|
element=element+1
|
|
endif
|
|
irow(1:element-1)=glob_row
|
|
ia=glob_row
|
|
|
|
t3 = psb_wtime()
|
|
call psb_spins(element-1,irow,icol,val,a,desc_a,info)
|
|
if(info /= 0) exit
|
|
tins = tins + (psb_wtime()-t3)
|
|
call psb_geins(1,(/ia/),zt(1:1),b,desc_a,info)
|
|
if(info /= 0) exit
|
|
zt(1)=0.d0
|
|
call psb_geins(1,(/ia/),zt(1:1),xv,desc_a,info)
|
|
if(info /= 0) exit
|
|
end if
|
|
end do
|
|
end do
|
|
|
|
call psb_barrier(ictxt)
|
|
t2 = psb_wtime()-t1
|
|
|
|
if(info /= 0) then
|
|
info=4010
|
|
ch_err='insert rout.'
|
|
call psb_errpush(info,name,a_err=ch_err)
|
|
goto 9999
|
|
end if
|
|
|
|
deallocate(val,irow,icol)
|
|
|
|
t1 = psb_wtime()
|
|
call psb_cdasb(desc_a,info)
|
|
call psb_spasb(a,desc_a,info,dupl=psb_dupl_err_,afmt=afmt)
|
|
call psb_barrier(ictxt)
|
|
tasb = psb_wtime()-t1
|
|
if(info /= 0) then
|
|
info=4010
|
|
ch_err='asb rout.'
|
|
call psb_errpush(info,name,a_err=ch_err)
|
|
goto 9999
|
|
end if
|
|
|
|
call psb_amx(ictxt,t2)
|
|
call psb_amx(ictxt,tins)
|
|
call psb_amx(ictxt,tasb)
|
|
|
|
if(iam == psb_root_) then
|
|
write(*,'("The matrix has been generated and assembeld in ",a3," format.")')&
|
|
& a%fida(1:3)
|
|
write(*,'("-pspins time : ",es10.4)')tins
|
|
write(*,'("-insert time : ",es10.4)')t2
|
|
write(*,'("-assembly time : ",es10.4)')tasb
|
|
end if
|
|
|
|
call psb_geasb(b,desc_a,info)
|
|
call psb_geasb(xv,desc_a,info)
|
|
if(info /= 0) then
|
|
info=4010
|
|
ch_err='asb rout.'
|
|
call psb_errpush(info,name,a_err=ch_err)
|
|
goto 9999
|
|
end if
|
|
|
|
call psb_erractionrestore(err_act)
|
|
return
|
|
|
|
9999 continue
|
|
call psb_erractionrestore(err_act)
|
|
if (err_act == psb_act_abort_) then
|
|
call psb_error(ictxt)
|
|
return
|
|
end if
|
|
return
|
|
end subroutine create_matrix
|
|
end program ppde
|
|
!
|
|
! functions parametrizing the differential equation
|
|
!
|
|
function a1(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: a1
|
|
real(psb_dpk_) :: x,y,z
|
|
a1=1.d0
|
|
end function a1
|
|
function a2(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: a2
|
|
real(psb_dpk_) :: x,y,z
|
|
a2=2.d1*y
|
|
end function a2
|
|
function a3(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: a3
|
|
real(psb_dpk_) :: x,y,z
|
|
a3=1.d0
|
|
end function a3
|
|
function a4(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: a4
|
|
real(psb_dpk_) :: x,y,z
|
|
a4=1.d0
|
|
end function a4
|
|
function b1(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: b1
|
|
real(psb_dpk_) :: x,y,z
|
|
b1=1.d0
|
|
end function b1
|
|
function b2(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: b2
|
|
real(psb_dpk_) :: x,y,z
|
|
b2=1.d0
|
|
end function b2
|
|
function b3(x,y,z)
|
|
use psb_base_mod, only : psb_dpk_
|
|
real(psb_dpk_) :: b3
|
|
real(psb_dpk_) :: x,y,z
|
|
b3=1.d0
|
|
end function b3
|
|
|
|
|