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psblas3/base/serial/psb_dneigh.f90

316 lines
9.1 KiB
Fortran

!!$
!!$ Parallel Sparse BLAS v2.0
!!$ (C) Copyright 2006 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.
!!$
!!$
! File: psb_dneigh.f90
! Subroutine:
! Parameters:
subroutine psb_dneigh(a,idx,neigh,n,info,lev)
use psb_realloc_mod
use psb_const_mod
use psb_spmat_type
implicit none
type(psb_dspmat_type), intent(in) :: a ! the sparse matrix
integer, intent(in) :: idx ! the index whose neighbours we want to find
integer, intent(out) :: n, info ! the number of neighbours and the info
integer, allocatable :: neigh(:) ! the neighbours
integer, optional :: lev ! level of neighbours to find
integer, allocatable :: tmpn(:)
integer :: level, dim, i, j, k, r, c, brow,&
& elem_pt, ii, n1, col_idx, ne, err_act, nn, nidx
character(len=20) :: name, ch_err
name='psb_dneigh'
info = 0
call psb_erractionsave(err_act)
n = 0
info = 0
if(present(lev)) then
if(lev.le.2) then
level=lev
else
write(0,'("Too many levels!!!")')
return
endif
else
level=1
end if
call psb_dneigh1l(a,idx,neigh,n)
if(level.eq.2) then
n1=n
allocate(tmpn(max(10,2*n)))
if (size(neigh)<n*n1) call psb_realloc(n*n1,neigh,info)
do i=1,n1
nidx=neigh(i)
if((nidx.ne.idx).and.(nidx.gt.0).and.(nidx.le.a%m)) then
call psb_dneigh1l(a,nidx,tmpn,nn)
if((n+nn).gt.size(neigh)) call psb_realloc(n+nn,neigh,info)
neigh(n+1:n+nn)=tmpn(1:nn)
n=n+nn
end if
end do
deallocate(tmpn)
end if
call psb_erractionrestore(err_act)
return
9999 continue
call psb_erractionrestore(err_act)
if (err_act.eq.act_abort) then
call psb_error()
return
end if
return
contains
subroutine csr_dneigh1l(a,idx,neigh,n)
use psb_realloc_mod
use psb_const_mod
use psb_spmat_type
implicit none
type(psb_dspmat_type), intent(in) :: a ! the sparse matrix
integer, intent(in) :: idx ! the index whose neighbours we want to find
integer, intent(out) :: n ! the number of neighbours and the info
integer, allocatable :: neigh(:) ! the neighbours
integer :: dim, i, iidx
if(a%pl(1).ne.0) then
iidx=a%pl(idx)
else
iidx=idx
end if
dim=a%ia2(iidx+1)-a%ia2(iidx)
if(dim.gt.size(neigh)) call psb_realloc(dim,neigh,info)
n=0
do i=a%ia2(iidx), a%ia2(iidx+1)-1
n=n+1
neigh(n)=a%ia1(i)
end do
end subroutine csr_dneigh1l
subroutine coo_dneigh1l(a,idx,neigh,n)
use psb_realloc_mod
use psb_const_mod
use psb_spmat_type
implicit none
type(psb_dspmat_type), intent(in) :: a ! the sparse matrix
integer, intent(in) :: idx ! the index whose neighbours we want to find
integer, intent(out) :: n ! the number of neighbours and the info
integer, allocatable :: neigh(:) ! the neighbours
integer :: dim, i, iidx, ip, nza
if(a%pl(1).ne.0) then
iidx=a%pl(idx)
else
iidx=idx
end if
nza=a%infoa(psb_nnz_)
if (a%infoa(psb_srtd_) == psb_isrtdcoo_) then
call ibsrch(ip,iidx,nza,a%ia1)
if (ip /= -1) then
! bring ip backward to the beginning of the row
do
if (ip < 2) exit
if (a%ia1(ip-1) == iidx) then
ip = ip -1
else
exit
end if
end do
end if
dim=0
do
if(a%ia1(ip).eq.iidx) then
dim=dim+1
if(dim.gt.size(neigh)) call psb_realloc(dim*3/2,neigh,info)
neigh(dim)=a%ia2(ip)
ip=ip+1
else
exit
end if
end do
else
dim=0
do i=1,nza
if(a%ia1(i).eq.iidx) then
dim=dim+1
if(dim.gt.size(neigh)) call psb_realloc(dim*3/2,neigh,info)
neigh(dim)=a%ia2(ip)
end if
end do
end if
n=dim
end subroutine coo_dneigh1l
subroutine jad_dneigh1l(a,idx,neigh,n)
use psb_realloc_mod
use psb_const_mod
use psb_spmat_type
implicit none
type(psb_dspmat_type), intent(in),target :: a ! the sparse matrix
integer, intent(in) :: idx ! the index whose neighbours we want to find
integer, intent(out) :: n ! the number of neighbours and the info
integer, allocatable :: neigh(:) ! the neighbours
integer :: dim, i, iidx, ip, nza
integer, pointer :: ia1(:), ia2(:), ia3(:),&
& ja(:), ka(:)
integer :: png, pia, pja, ipx, blk, rb, row, k_pt, npg, col, ng
if(a%pl(1).ne.0) then
iidx=a%pl(idx)
else
iidx=idx
end if
nza=a%infoa(psb_nnz_)
png = a%ia2(1) ! points to the number of blocks
pia = a%ia2(2) ! points to the beginning of ia(3,png)
pja = a%ia2(3) ! points to the beginning of ja(:)
ng = a%ia2(png) ! the number of blocks
ja => a%ia2(pja:) ! the array containing the pointers to ka and aspk
ka => a%ia1(:) ! the array containing the column indices
ia1 => a%ia2(pia:pja-1:3) ! the array containing the first row index of each block
ia2 => a%ia2(pia+1:pja-1:3) ! the array containing a pointer to the pos. in ja to the first jad column
ia3 => a%ia2(pia+2:pja-1:3) ! the array containing a pointer to the pos. in ja to the first csr column
i=0
dim=0
blkfnd: do
i=i+1
if(ia1(i).eq.iidx) then
blk=i
dim=dim+ia3(i)-ia2(i)
ipx = ia1(i) ! the first row index of the block
rb = iidx-ipx ! the row offset within the block
row = ia3(i)+rb
dim = dim+ja(row+1)-ja(row)
exit blkfnd
else if(ia1(i).gt.iidx) then
blk=i-1
dim=dim+ia3(i-1)-ia2(i-1)
ipx = ia1(i-1) ! the first row index of the block
rb = iidx-ipx ! the row offset within the block
row = ia3(i-1)+rb
dim = dim+ja(row+1)-ja(row)
exit blkfnd
end if
end do blkfnd
if(dim.gt.size(neigh)) call psb_realloc(dim,neigh,info)
ipx = ia1(blk) ! the first row index of the block
k_pt= ia2(blk) ! the pointer to the beginning of a column in ja
rb = iidx-ipx ! the row offset within the block
npg = ja(k_pt+1)-ja(k_pt) ! the number of rows in the block
k=0
do col = ia2(blk), ia3(blk)-1
k=k+1
neigh(k) = ka(ja(col)+rb)
end do
! extract second part of the row from the csr tail
row=ia3(blk)+rb
do j=ja(row), ja(row+1)-1
k=k+1
neigh(k) = ka(j)
end do
n=k
end subroutine jad_dneigh1l
subroutine psb_dneigh1l(a,idx,neigh,n)
use psb_realloc_mod
use psb_const_mod
use psb_spmat_type
use psb_string_mod
implicit none
type(psb_dspmat_type), intent(in) :: a ! the sparse matrix
integer, intent(in) :: idx ! the index whose neighbours we want to find
integer, intent(out) :: n ! the number of neighbours and the info
integer, allocatable :: neigh(:) ! the neighbours
select case(toupper(a%fida(1:3)))
case('CSR')
call csr_dneigh1l(a,idx,neigh,n)
case('COO')
call coo_dneigh1l(a,idx,neigh,n)
case('JAD')
call jad_dneigh1l(a,idx,neigh,n)
end select
end subroutine psb_dneigh1l
end subroutine psb_dneigh