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psblas3/test/fileread/df_sample.f90

294 lines
9.0 KiB
Fortran

!!$
!!$ Parallel Sparse BLAS version 2.2
!!$ (C) Copyright 2006/2007/2008
!!$ Salvatore Filippone University of Rome Tor Vergata
!!$ Alfredo Buttari University of Rome Tor Vergata
!!$
!!$ 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
! 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 :: b_col(:), x_col(:), r_col(:), &
& x_col_glob(:), r_col_glob(:)
real(psb_dpk_), pointer :: b_col_glob(:)
! communications data structure
type(psb_desc_type):: desc_a
integer :: ictxt, iam, np
! solver paramters
integer :: iter, itmax, ierr, itrace, ircode, ipart,&
& methd, istopc, irst,amatsize,precsize,descsize
real(psb_dpk_) :: err, eps,cond
character(len=5) :: afmt
character(len=20) :: name
integer :: iparm(20)
! other variables
integer :: i,info,j,m_problem
integer :: internal, m,ii,nnzero
real(psb_dpk_) :: t1, t2, tprec, r_amax, b_amax,&
&scale,resmx,resmxp
integer :: nrhs, nrow, n_row, dim, nv, ne
integer, allocatable :: ivg(:), ipv(:)
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=0
call psb_set_errverbosity(2)
!
! get parameters
!
call get_parms(ictxt,mtrx_file,rhs_file,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
call read_mat(mtrx_file, aux_a, ictxt)
m_problem = aux_a%m
call psb_bcast(ictxt,m_problem)
if(rhs_file /= 'NONE') then
! reading an rhs
call read_rhs(rhs_file,aux_b,ictxt)
end if
if (psb_size(aux_b,dim=1)==m_problem) then
! if any rhs were present, broadcast the first one
write(0,'("Ok, got an rhs ")')
b_col_glob =>aux_b(:,1)
else
write(*,'("Generating an rhs...")')
write(*,'(" ")')
call psb_realloc(m_problem,1,aux_b,ircode)
if (ircode /= 0) then
call psb_errpush(4000,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(4000,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(*,'("Partition type: block")')
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, ivg, ictxt, &
& desc_a,b_col_glob,b_col,info,fmt=afmt)
else if (ipart == 2) then
if (iam==psb_root_) then
write(*,'("Partition type: graph")')
write(*,'(" ")')
! write(0,'("Build type: graph")')
call build_mtpart(aux_a%m,aux_a%fida,aux_a%ia1,aux_a%ia2,np)
endif
call psb_barrier(ictxt)
call distr_mtpart(psb_root_,ictxt)
call getv_mtpart(ivg)
call psb_matdist(aux_a, a, ivg, ictxt, &
& desc_a,b_col_glob,b_col,info,fmt=afmt)
else
if (iam==psb_root_) write(*,'("Partition type: block")')
call psb_matdist(aux_a, a, part_block, ictxt, &
& desc_a,b_col_glob,b_col,info,fmt=afmt)
end if
call psb_geall(x_col,desc_a,info)
x_col(:) =0.0
call psb_geasb(x_col,desc_a,info)
call psb_geall(r_col,desc_a,info)
r_col(:) =0.0
call psb_geasb(r_col,desc_a,info)
t2 = psb_wtime() - t1
call psb_amx(ictxt, t2)
if (iam==psb_root_) then
write(*,'(" ")')
write(*,'("Time to read and partition matrix : ",es10.4)')t2
write(*,'(" ")')
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 /= 0) then
call psb_errpush(4010,name,a_err='psb_precbld')
goto 9999
end if
call psb_amx(ictxt, tprec)
if(iam==psb_root_) then
write(*,'("Preconditioner time: ",es10.4)')tprec
write(*,'(" ")')
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)
call psb_genrm2s(resmx,r_col,desc_a,info)
call psb_geamaxs(resmxp,r_col,desc_a,info)
amatsize = psb_sizeof(a)
descsize = psb_sizeof(desc_a)
precsize = psb_sizeof(prec)
call psb_sum(ictxt,amatsize)
call psb_sum(ictxt,descsize)
call psb_sum(ictxt,precsize)
if (iam==psb_root_) then
call psb_prec_descr(6,prec)
write(*,'("Matrix: ",a)')mtrx_file
write(*,'("Computed solution on ",i8," processors")')np
write(*,'("Iterations to convergence: ",i6)')iter
write(*,'("Error estimate on exit : ",es10.4)') err
write(*,'("Time to buil prec. : ",es10.4)')tprec
write(*,'("Time to solve matrix : ",es10.4)')t2
write(*,'("Time per iteration : ",es10.4)')t2/(iter)
write(*,'("Total time : ",es10.4)')t2+tprec
write(*,'("Residual norm 2 : ",es10.4)')resmx
write(*,'("Residual norm inf : ",es10.4)')resmxp
write(*,*)"Condition number : ",cond
write(*,'("Total memory occupation for A: ",i10)')amatsize
write(*,'("Total memory occupation for DESC_A: ",i10)')descsize
write(*,'("Total memory occupation for PREC: ",i10)')precsize
end if
allocate(x_col_glob(m_problem),r_col_glob(m_problem),stat=ierr)
if (ierr /= 0) then
write(0,*) '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(0,'(" ")')
write(0,'("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,*) 'max residual = ',resmx, 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 /= 0) then
call psb_error(ictxt)
end if
call psb_exit(ictxt)
stop
end program df_sample