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357 lines
11 KiB
Fortran
357 lines
11 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 3.3)
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!!$
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!!$ (C) Copyright 2008, 2010, 2012, 2015
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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_dexample_ml.f90
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!
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! This sample program solves a linear system obtained by discretizing a
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! PDE with Dirichlet BCs. The solver is BiCGStab coupled with one of the
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! following multi-level preconditioner, as explained in Section 6.1 of
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! 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 PDE is a general second order equation in 3d
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!
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! a1 dd(u) a2 dd(u) a3 dd(u) b1 d(u) b2 d(u) b3 d(u)
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! - ------ - ------ - ------ + ----- + ------ + ------ + c u = f
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! dxdx dydy dzdz dx dy dz
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!
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! with Dirichlet boundary conditions
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! u = g
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!
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! on the unit cube 0<=x,y,z<=1.
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!
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!
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! Note that if b1=b2=b3=c=0., the PDE is the Laplace equation.
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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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module dpde_mod
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contains
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!
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! functions parametrizing the differential equation
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!
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function b1(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: b1
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real(psb_dpk_), intent(in) :: x,y,z
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b1=1.d0/sqrt(3.d0)
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end function b1
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function b2(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: b2
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real(psb_dpk_), intent(in) :: x,y,z
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b2=1.d0/sqrt(3.d0)
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end function b2
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function b3(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: b3
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real(psb_dpk_), intent(in) :: x,y,z
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b3=1.d0/sqrt(3.d0)
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end function b3
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function c(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: c
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real(psb_dpk_), intent(in) :: x,y,z
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c=0.d0
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end function c
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function a1(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: a1
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real(psb_dpk_), intent(in) :: x,y,z
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a1=1.d0/80
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end function a1
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function a2(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: a2
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real(psb_dpk_), intent(in) :: x,y,z
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a2=1.d0/80
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end function a2
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function a3(x,y,z)
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use psb_base_mod, only : psb_dpk_
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real(psb_dpk_) :: a3
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real(psb_dpk_), intent(in) :: x,y,z
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a3=1.d0/80
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end function a3
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function g(x,y,z)
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use psb_base_mod, only : psb_dpk_, done, dzero
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real(psb_dpk_) :: g
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real(psb_dpk_), intent(in) :: x,y,z
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g = dzero
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if (x == done) then
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g = done
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else if (x == dzero) then
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g = exp(y**2-z**2)
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end if
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end function g
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end module dpde_mod
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program mld_dexample_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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use dpde_mod
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implicit none
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! input parameters
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! sparse matrices
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type(psb_dspmat_type) :: A
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! sparse matrices descriptor
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type(psb_desc_type):: desc_A
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! preconditioner
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type(mld_dprec_type) :: P
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! right-hand side, solution and residual vectors
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type(psb_d_vect_type) :: x, b, r
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! solver and preconditioner parameters
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real(psb_dpk_) :: 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
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integer(psb_long_int_k_) :: amatsize, precsize, descsize
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integer :: idim, ierr, ircode
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real(psb_dpk_) :: t1, t2, tprec, resmx, resmxp
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character(len=5) :: afmt='CSR'
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character(len=20) :: name
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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_dexample_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,choice,idim,itmax,tol)
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! allocate and fill in the coefficient matrix, rhs and initial guess
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call psb_barrier(ictxt)
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t1 = psb_wtime()
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call psb_gen_pde3d(ictxt,idim,a,b,x,desc_a,afmt,&
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& a1,a2,a3,b1,b2,b3,c,g,info)
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call psb_barrier(ictxt)
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t2 = psb_wtime() - t1
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if(info /= psb_success_) then
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info=psb_err_from_subroutine_
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call psb_errpush(info,name)
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goto 9999
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end if
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if (iam == psb_root_) write(*,'("Overall matrix creation time : ",es12.5)')t2
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if (iam == psb_root_) write(*,'(" ")')
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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 solver parameters and the initial guess
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call psb_geall(x,desc_A,info)
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call x%set(dzero)
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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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call r%set(dzero)
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call psb_geasb(r,desc_A,info)
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call psb_geaxpby(done,b,dzero,r,desc_A,info)
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call psb_spmm(-done,A,x,done,r,desc_A,info)
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resmx = psb_genrm2(r,desc_A,info)
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resmxp = psb_geamax(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 from PDE example")')
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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_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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call psb_exit(ictxt)
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stop
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9999 continue
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call psb_error(ictxt)
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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,choice,idim,itmax,tol)
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use psb_base_mod
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implicit none
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integer :: choice, idim, ictxt, itmax
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real(psb_dpk_) :: tol
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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(choice,5)
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call read_data(idim,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,choice)
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call psb_bcast(ictxt,idim)
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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_dexample_ml
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