You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
340 lines
11 KiB
Fortran
340 lines
11 KiB
Fortran
!!$
|
|
!!$ Parallel Sparse BLAS version 3.0
|
|
!!$ (C) Copyright 2006, 2007, 2008, 2009, 2010
|
|
!!$ Salvatore Filippone University of Rome Tor Vergata
|
|
!!$ Alfredo Buttari CNRS-IRIT, Toulouse
|
|
!!$
|
|
!!$ Redistribution and use in source and binary forms, with or without
|
|
!!$ modification, are permitted provided that the following conditions
|
|
!!$ are met:
|
|
!!$ 1. Redistributions of source code must retain the above copyright
|
|
!!$ notice, this list of conditions and the following disclaimer.
|
|
!!$ 2. Redistributions in binary form must reproduce the above copyright
|
|
!!$ notice, this list of conditions, and the following disclaimer in the
|
|
!!$ documentation and/or other materials provided with the distribution.
|
|
!!$ 3. The name of the PSBLAS group or the names of its contributors may
|
|
!!$ not be used to endorse or promote products derived from this
|
|
!!$ software without specific written permission.
|
|
!!$
|
|
!!$ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
|
|
!!$ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
|
|
!!$ TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
|
!!$ PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE PSBLAS GROUP OR ITS CONTRIBUTORS
|
|
!!$ BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
|
|
!!$ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
|
|
!!$ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
|
|
!!$ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
|
|
!!$ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
|
!!$ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
|
!!$ POSSIBILITY OF SUCH DAMAGE.
|
|
!!$
|
|
!!$
|
|
program df_sample
|
|
use psb_base_mod
|
|
use psb_prec_mod
|
|
use psb_krylov_mod
|
|
use psb_util_mod
|
|
use getp
|
|
implicit none
|
|
|
|
! input parameters
|
|
character(len=40) :: kmethd, ptype, mtrx_file, rhs_file,renum
|
|
|
|
! sparse matrices
|
|
type(psb_dspmat_type) :: a, aux_a
|
|
|
|
! preconditioner data
|
|
type(psb_dprec_type) :: prec
|
|
|
|
! dense matrices
|
|
real(psb_dpk_), allocatable, target :: aux_b(:,:), d(:)
|
|
real(psb_dpk_), allocatable , save :: x_col_glob(:), r_col_glob(:)
|
|
real(psb_dpk_), pointer :: b_col_glob(:)
|
|
type(psb_d_vect_type) :: b_col, x_col, r_col
|
|
|
|
|
|
! communications data structure
|
|
type(psb_desc_type):: desc_a
|
|
|
|
integer(psb_ipk_) :: ictxt, iam, np
|
|
|
|
! solver paramters
|
|
integer(psb_ipk_) :: iter, itmax, ierr, itrace, ircode, ipart,&
|
|
& methd, istopc, irst
|
|
integer(psb_long_int_k_) :: amatsize, precsize, descsize
|
|
real(psb_dpk_) :: err, eps,cond
|
|
|
|
character(len=5) :: afmt
|
|
character(len=20) :: name
|
|
character(len=2) :: filefmt
|
|
integer(psb_ipk_), parameter :: iunit=12
|
|
integer(psb_ipk_) :: iparm(20)
|
|
|
|
! other variables
|
|
integer(psb_ipk_) :: i,info,j,m_problem
|
|
integer(psb_ipk_) :: internal, m,ii,nnzero
|
|
real(psb_dpk_) :: t1, t2, tprec, r_amax, b_amax,&
|
|
&scale,resmx,resmxp
|
|
integer(psb_ipk_) :: nrhs, nrow, n_row, dim, nv, ne
|
|
integer(psb_ipk_), allocatable :: ivg(:), ipv(:), perm(:)
|
|
character(len=40) :: fname, fnout
|
|
|
|
|
|
call psb_init(ictxt)
|
|
call psb_info(ictxt,iam,np)
|
|
|
|
if (iam < 0) then
|
|
! This should not happen, but just in case
|
|
call psb_exit(ictxt)
|
|
stop
|
|
endif
|
|
|
|
|
|
name='df_sample'
|
|
if(psb_get_errstatus() /= 0) goto 9999
|
|
info=psb_success_
|
|
call psb_set_errverbosity(2)
|
|
call psb_cd_set_large_threshold(2)
|
|
!
|
|
! Hello world
|
|
!
|
|
if (iam == psb_root_) then
|
|
write(*,*) 'Welcome to PSBLAS version: ',psb_version_string_
|
|
write(*,*) 'This is the ',trim(name),' sample program'
|
|
end if
|
|
!
|
|
! get parameters
|
|
!
|
|
call get_parms(ictxt,mtrx_file,rhs_file,filefmt,kmethd,ptype,&
|
|
& ipart,afmt,istopc,itmax,itrace,irst,eps)
|
|
|
|
call psb_barrier(ictxt)
|
|
t1 = psb_wtime()
|
|
! read the input matrix to be processed and (possibly) the rhs
|
|
nrhs = 1
|
|
|
|
if (iam == psb_root_) then
|
|
select case(psb_toupper(filefmt))
|
|
case('MM')
|
|
! For Matrix Market we have an input file for the matrix
|
|
! and an (optional) second file for the RHS.
|
|
call mm_mat_read(aux_a,info,iunit=iunit,filename=mtrx_file)
|
|
if (info == psb_success_) then
|
|
if (rhs_file /= 'NONE') then
|
|
call mm_vet_read(aux_b,info,iunit=iunit,filename=rhs_file)
|
|
end if
|
|
end if
|
|
|
|
case ('HB')
|
|
! For Harwell-Boeing we have a single file which may or may not
|
|
! contain an RHS.
|
|
call hb_read(aux_a,info,iunit=iunit,b=aux_b,filename=mtrx_file)
|
|
|
|
case default
|
|
info = -1
|
|
write(psb_err_unit,*) 'Wrong choice for fileformat ', filefmt
|
|
end select
|
|
if (info /= psb_success_) then
|
|
write(psb_err_unit,*) 'Error while reading input matrix '
|
|
call psb_abort(ictxt)
|
|
end if
|
|
|
|
m_problem = aux_a%get_nrows()
|
|
call psb_bcast(ictxt,m_problem)
|
|
call psb_mat_renum(psb_mat_renum_identity_,aux_a,info,perm)
|
|
|
|
! At this point aux_b may still be unallocated
|
|
if (psb_size(aux_b,dim=1) == m_problem) then
|
|
! if any rhs were present, broadcast the first one
|
|
write(psb_err_unit,'("Ok, got an rhs ")')
|
|
b_col_glob =>aux_b(:,1)
|
|
call psb_gelp('N',perm(1:m_problem),&
|
|
& b_col_glob(1:m_problem),info)
|
|
else
|
|
write(psb_out_unit,'("Generating an rhs...")')
|
|
write(psb_out_unit,'(" ")')
|
|
call psb_realloc(m_problem,1,aux_b,ircode)
|
|
if (ircode /= 0) then
|
|
call psb_errpush(psb_err_alloc_dealloc_,name)
|
|
goto 9999
|
|
endif
|
|
|
|
b_col_glob => aux_b(:,1)
|
|
do i=1, m_problem
|
|
b_col_glob(i) = 1.d0
|
|
enddo
|
|
endif
|
|
call psb_bcast(ictxt,b_col_glob(1:m_problem))
|
|
|
|
else
|
|
|
|
call psb_bcast(ictxt,m_problem)
|
|
call psb_realloc(m_problem,1,aux_b,ircode)
|
|
if (ircode /= 0) then
|
|
call psb_errpush(psb_err_alloc_dealloc_,name)
|
|
goto 9999
|
|
endif
|
|
b_col_glob =>aux_b(:,1)
|
|
call psb_bcast(ictxt,b_col_glob(1:m_problem))
|
|
|
|
end if
|
|
|
|
! switch over different partition types
|
|
if (ipart == 0) then
|
|
call psb_barrier(ictxt)
|
|
if (iam == psb_root_) write(psb_out_unit,'("Partition type: block vector")')
|
|
allocate(ivg(m_problem),ipv(np))
|
|
do i=1,m_problem
|
|
call part_block(i,m_problem,np,ipv,nv)
|
|
ivg(i) = ipv(1)
|
|
enddo
|
|
call psb_matdist(aux_a, a, ictxt, &
|
|
& desc_a,b_col_glob,b_col,info,fmt=afmt,v=ivg)
|
|
|
|
else if (ipart == 2) then
|
|
if (iam == psb_root_) then
|
|
write(psb_out_unit,'("Partition type: graph vector")')
|
|
write(psb_out_unit,'(" ")')
|
|
! write(psb_err_unit,'("Build type: graph")')
|
|
call build_mtpart(aux_a,np)
|
|
|
|
endif
|
|
call psb_barrier(ictxt)
|
|
call distr_mtpart(psb_root_,ictxt)
|
|
call getv_mtpart(ivg)
|
|
call psb_matdist(aux_a, a, ictxt, &
|
|
& desc_a,b_col_glob,b_col,info,fmt=afmt,v=ivg)
|
|
|
|
else
|
|
if (iam == psb_root_) write(psb_out_unit,'("Partition type: block subroutine")')
|
|
call psb_matdist(aux_a, a, ictxt, &
|
|
& desc_a,b_col_glob,b_col,info,fmt=afmt,parts=part_block)
|
|
end if
|
|
|
|
call psb_geall(x_col,desc_a,info)
|
|
call x_col%set(dzero)
|
|
call psb_geasb(x_col,desc_a,info)
|
|
call psb_geall(r_col,desc_a,info)
|
|
call r_col%set(dzero)
|
|
call psb_geasb(r_col,desc_a,info)
|
|
t2 = psb_wtime() - t1
|
|
|
|
write(fnout,'(a,i3.3,a)') 'amat-',iam,'.mtx'
|
|
call a%print(fname=fnout)
|
|
call psb_amx(ictxt, t2)
|
|
|
|
if (iam == psb_root_) then
|
|
write(psb_out_unit,'(" ")')
|
|
write(psb_out_unit,'("Time to read and partition matrix : ",es12.5)')t2
|
|
write(psb_out_unit,'(" ")')
|
|
end if
|
|
|
|
!
|
|
|
|
call psb_precinit(prec,ptype,info)
|
|
|
|
! building the preconditioner
|
|
t1 = psb_wtime()
|
|
call psb_precbld(a,desc_a,prec,info)
|
|
tprec = psb_wtime()-t1
|
|
if (info /= psb_success_) then
|
|
call psb_errpush(psb_err_from_subroutine_,name,a_err='psb_precbld')
|
|
goto 9999
|
|
end if
|
|
|
|
|
|
call psb_amx(ictxt, tprec)
|
|
|
|
if(iam == psb_root_) then
|
|
write(psb_out_unit,'("Preconditioner time: ",es12.5)')tprec
|
|
write(psb_out_unit,'(" ")')
|
|
end if
|
|
cond = dzero
|
|
iparm = 0
|
|
call psb_barrier(ictxt)
|
|
t1 = psb_wtime()
|
|
call psb_krylov(kmethd,a,prec,b_col,x_col,eps,desc_a,info,&
|
|
& itmax=itmax,iter=iter,err=err,itrace=itrace,istop=istopc,&
|
|
& irst=irst,cond=cond)
|
|
call psb_barrier(ictxt)
|
|
t2 = psb_wtime() - t1
|
|
|
|
call psb_amx(ictxt,t2)
|
|
call psb_geaxpby(done,b_col,dzero,r_col,desc_a,info)
|
|
call psb_spmm(-done,a,x_col,done,r_col,desc_a,info)
|
|
resmx = psb_genrm2(r_col,desc_a,info)
|
|
resmxp = psb_geamax(r_col,desc_a,info)
|
|
|
|
amatsize = a%sizeof()
|
|
descsize = desc_a%sizeof()
|
|
precsize = prec%sizeof()
|
|
call psb_sum(ictxt,amatsize)
|
|
call psb_sum(ictxt,descsize)
|
|
call psb_sum(ictxt,precsize)
|
|
if (iam == psb_root_) then
|
|
call psb_precdescr(prec)
|
|
write(psb_out_unit,'("Matrix: ",a)')mtrx_file
|
|
write(psb_out_unit,'("Computed solution on ",i8," processors")')np
|
|
write(psb_out_unit,'("Iterations to convergence: ",i6)')iter
|
|
write(psb_out_unit,'("Error estimate on exit : ",es12.5)') err
|
|
write(psb_out_unit,'("Time to buil prec. : ",es12.5)')tprec
|
|
write(psb_out_unit,'("Time to solve matrix : ",es12.5)')t2
|
|
write(psb_out_unit,'("Time per iteration : ",es12.5)')t2/(iter)
|
|
write(psb_out_unit,'("Total time : ",es12.5)')t2+tprec
|
|
write(psb_out_unit,'("Residual norm 2 : ",es12.5)')resmx
|
|
write(psb_out_unit,'("Residual norm inf : ",es12.5)')resmxp
|
|
write(psb_out_unit,*)"Condition number : ",cond
|
|
write(psb_out_unit,'("Total memory occupation for A: ",i12)')amatsize
|
|
write(psb_out_unit,'("Total memory occupation for PREC: ",i12)')precsize
|
|
write(psb_out_unit,'("Total memory occupation for DESC_A: ",i12)')descsize
|
|
write(psb_out_unit,'("Storage type for DESC_A : ",a)')&
|
|
& desc_a%indxmap%get_fmt()
|
|
end if
|
|
!!$ call psb_precdump(prec,info,prefix=trim(mtrx_file)//'_')
|
|
|
|
allocate(x_col_glob(m_problem),r_col_glob(m_problem),stat=ierr)
|
|
if (ierr /= 0) then
|
|
write(psb_err_unit,*) 'allocation error: no data collection'
|
|
else
|
|
call psb_gather(x_col_glob,x_col,desc_a,info,root=psb_root_)
|
|
call psb_gather(r_col_glob,r_col,desc_a,info,root=psb_root_)
|
|
if (iam == psb_root_) then
|
|
write(psb_err_unit,'(" ")')
|
|
write(psb_err_unit,'("Saving x on file")')
|
|
write(20,*) 'matrix: ',mtrx_file
|
|
write(20,*) 'computed solution on ',np,' processors.'
|
|
write(20,*) 'iterations to convergence: ',iter
|
|
write(20,*) 'error estimate (infinity norm) on exit:', &
|
|
& ' ||r||/(||a||||x||+||b||) = ',err
|
|
write(20,'("Residual norm 2 : ",es12.5)')resmx
|
|
write(20,'("Residual norm inf : ",es12.5)')resmxp
|
|
write(20,'(a8,4(2x,a20))') 'I','X(I)','R(I)','B(I)'
|
|
do i=1,m_problem
|
|
write(20,998) i,x_col_glob(i),r_col_glob(i),b_col_glob(i)
|
|
enddo
|
|
end if
|
|
end if
|
|
998 format(i8,4(2x,g20.14))
|
|
993 format(i6,4(1x,e12.6))
|
|
|
|
|
|
call psb_gefree(b_col, desc_a,info)
|
|
call psb_gefree(x_col, desc_a,info)
|
|
call psb_spfree(a, desc_a,info)
|
|
call psb_precfree(prec,info)
|
|
call psb_cdfree(desc_a,info)
|
|
|
|
9999 continue
|
|
if(info /= psb_success_) then
|
|
call psb_error(ictxt)
|
|
end if
|
|
call psb_exit(ictxt)
|
|
stop
|
|
|
|
end program df_sample
|
|
|
|
|
|
|
|
|
|
|