|
|
|
!
|
|
|
|
! Parallel Sparse BLAS version 3.5
|
|
|
|
! (C) Copyright 2006-2018
|
|
|
|
! Salvatore Filippone
|
|
|
|
! Alfredo Buttari
|
|
|
|
!
|
|
|
|
! 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.
|
|
|
|
!
|
|
|
|
!
|
|
|
|
!**********************************************************************
|
|
|
|
! *
|
|
|
|
! The communication step among processors at each *
|
|
|
|
! matrix-vector product is a variable all-to-all *
|
|
|
|
! collective communication that we reimplement *
|
|
|
|
! in terms of point-to-point communications. *
|
|
|
|
! The data in input is a list of dependencies: *
|
|
|
|
! for each node a list of all the nodes it has to *
|
|
|
|
! communicate with. The lists are guaranteed to be *
|
|
|
|
! symmetric, i.e. for each pair (I,J) there is a *
|
|
|
|
! pair (J,I). The idea is to organize the ordering *
|
|
|
|
! so that at each communication step as many *
|
|
|
|
! processors as possible are communicating at the *
|
|
|
|
! same time, i.e. a step is defined by the fact *
|
|
|
|
! that all edges (I,J) in it have no common node. *
|
|
|
|
! *
|
|
|
|
! Formulation of the problem is: *
|
|
|
|
! Given an undirected graph (forest): *
|
|
|
|
! Find the shortest series of steps to cancel all *
|
|
|
|
! graph edges, where at each step all edges belonging *
|
|
|
|
! to a matching in the graph are canceled. *
|
|
|
|
! *
|
|
|
|
! An obvious lower bound to the optimum number of steps *
|
|
|
|
! is the largest degree of any node in the graph. *
|
|
|
|
! *
|
|
|
|
! The algorithm proceeds as follows: *
|
|
|
|
! 1. Build a list of all edges, e.g. copy the *
|
|
|
|
! dependencies lists keeping only (I,J) with I<J *
|
|
|
|
! 2. Compute an auxiliary vector with the degree of *
|
|
|
|
! each node of the graph. *
|
|
|
|
! 3. While there are edges in the graph do: *
|
|
|
|
! 4. Weight the edges with the sum of the degrees *
|
|
|
|
! of their nodes and sort them into descending order *
|
|
|
|
! 5. Scan the list of edges; if neither node of the *
|
|
|
|
! edge has been marked yet, cancel the edge and mark *
|
|
|
|
! the two nodes *
|
|
|
|
! 6. If no edge was chosen but the graph is nonempty *
|
|
|
|
! raise an error condition *
|
|
|
|
! 7. Queue the edges in the matchin to the output *
|
|
|
|
! sequence; *
|
|
|
|
! 8. Decrease by 1 the degree of all marked nodes, *
|
|
|
|
! then clear all marks *
|
|
|
|
! 9. Cycle to 3. *
|
|
|
|
! 10. For each node: scan the edge sequence; if an *
|
|
|
|
! edge has the node as an endpoint, queue the other *
|
|
|
|
! node in the dependency list for the current one *
|
|
|
|
! *
|
|
|
|
!**********************************************************************
|
|
|
|
subroutine psi_i_csr_sort_dl(dl_ptr,c_dep_list,l_dep_list,ctxt,info)
|
|
|
|
use psi_mod, psb_protect_name => psi_i_csr_sort_dl
|
|
|
|
use psb_const_mod
|
|
|
|
use psb_error_mod
|
|
|
|
use psb_sort_mod
|
|
|
|
implicit none
|
|
|
|
|
|
|
|
integer(psb_ipk_), intent(in) :: dl_ptr(0:)
|
|
|
|
integer(psb_ipk_), intent(inout) :: c_dep_list(:), l_dep_list(0:)
|
|
|
|
type(psb_ctxt_type), intent(in) :: ctxt
|
|
|
|
integer(psb_ipk_), intent(out) :: info
|
|
|
|
! Local variables
|
|
|
|
integer(psb_ipk_), allocatable :: dg(:), dgp(:),&
|
|
|
|
& idx(:), upd(:), edges(:,:), ich(:)
|
|
|
|
integer(psb_ipk_) :: i, j, nedges, ip1, ip2, nch, ip, iedge,&
|
|
|
|
& i1, ix, ist, iswap(2)
|
|
|
|
logical :: internal_error
|
|
|
|
integer(psb_ipk_) :: me, np
|
|
|
|
|
|
|
|
info = 0
|
|
|
|
call psb_info(ctxt,me,np)
|
|
|
|
nedges = size(c_dep_list)
|
|
|
|
|
|
|
|
allocate(dg(0:np-1),dgp(nedges),edges(2,nedges),upd(0:np-1),&
|
|
|
|
& idx(nedges),ich(nedges),stat = info)
|
|
|
|
|
|
|
|
if (info /= 0) then
|
|
|
|
info = -9
|
|
|
|
return
|
|
|
|
end if
|
|
|
|
!
|
|
|
|
! 1. Compute an auxiliary vector with the degree of
|
|
|
|
! each node of the graph.
|
|
|
|
dg(0:np-1) = l_dep_list(0:np-1)
|
|
|
|
!
|
|
|
|
! 2. Build a list of all edges, e.g. copy the
|
|
|
|
! dependencies lists keeping only (I,J) with I<J
|
|
|
|
!
|
|
|
|
nedges = 0
|
|
|
|
do i = 0, np-1
|
|
|
|
do j = dl_ptr(i),dl_ptr(i+1) - 1
|
|
|
|
ip = c_dep_list(j)
|
|
|
|
if (i<=ip) then
|
|
|
|
nedges = nedges + 1
|
|
|
|
edges(1,nedges) = i
|
|
|
|
edges(2,nedges) = ip
|
|
|
|
end if
|
|
|
|
end do
|
|
|
|
end do
|
|
|
|
|
|
|
|
!
|
|
|
|
! 3. Loop over all edges
|
|
|
|
!
|
|
|
|
ist = 1
|
|
|
|
do while (ist <= nedges)
|
|
|
|
!
|
|
|
|
! 4. Weight the edges with the sum of the degrees
|
|
|
|
! of their nodes and sort them into descending order
|
|
|
|
upd(:) = 0
|
|
|
|
do i = ist, nedges
|
|
|
|
dgp(i) = (dg(edges(1,i)) + dg(edges(2,i)))
|
|
|
|
end do
|
|
|
|
call psb_msort(dgp(ist:nedges),ix=idx(ist:nedges),dir=psb_sort_down_)
|
|
|
|
|
|
|
|
! 5. Scan the list of edges; if neither node of the
|
|
|
|
! edge has been marked yet, take out the edge and mark
|
|
|
|
! the two nodes
|
|
|
|
i1 = ist
|
|
|
|
nch = 0
|
|
|
|
do i = ist, nedges
|
|
|
|
ix = idx(i)+ist-1
|
|
|
|
ip1 = edges(1,ix)
|
|
|
|
ip2 = edges(2,ix)
|
|
|
|
if ((upd(ip1)==0).and.(upd(ip2)==0)) then
|
|
|
|
upd(ip1) = -1
|
|
|
|
upd(ip2) = -1
|
|
|
|
nch = nch + 1
|
|
|
|
ich(nch) = ix
|
|
|
|
end if
|
|
|
|
end do
|
|
|
|
!
|
|
|
|
! 6. If no edge was chosen but the graph is nonempty
|
|
|
|
! raise an error condition
|
|
|
|
if (nch == 0) then
|
|
|
|
write(psb_err_unit,*)&
|
|
|
|
& 'srtlist ?????? impossible error !!!!!?????',&
|
|
|
|
& nedges,ist
|
|
|
|
do i=ist, nedges
|
|
|
|
ix = idx(i)+ist-1
|
|
|
|
write(psb_err_unit,*)&
|
|
|
|
& 'SRTLIST: Edge:',ix,edges(1,ix),&
|
|
|
|
& edges(2,ix),dgp(ix)
|
|
|
|
end do
|
|
|
|
info = psb_err_input_value_invalid_i_
|
|
|
|
return
|
|
|
|
end if
|
|
|
|
!
|
|
|
|
! 7. Queue the edges in the matching to the output
|
|
|
|
! sequence; decrease by 1 the degree of all marked
|
|
|
|
! nodes, then clear all marks
|
|
|
|
!
|
|
|
|
call psb_msort(ich(1:nch))
|
|
|
|
do i=1, nch
|
|
|
|
iswap(1:2) = edges(1:2,ist)
|
|
|
|
edges(1:2,ist) = edges(1:2,ich(i))
|
|
|
|
edges(1:2,ich(i)) = iswap(1:2)
|
|
|
|
ist = ist + 1
|
|
|
|
end do
|
|
|
|
do i=0, np-1
|
|
|
|
dg(i) = dg(i) + upd(i)
|
|
|
|
end do
|
|
|
|
end do
|
|
|
|
internal_error = .false.
|
|
|
|
do i=0, np-1
|
|
|
|
if (dg(i) /= 0) then
|
|
|
|
internal_error = .true.
|
|
|
|
if (me == 0) write(psb_err_unit,*)&
|
|
|
|
& 'csr_SRTLIST Error on exit:',i,dg(i)
|
|
|
|
end if
|
|
|
|
dg(i) = 0
|
|
|
|
end do
|
|
|
|
if (internal_error .and. (me==0)) then
|
|
|
|
write(0,*) 'Error on srt_list. Input:'
|
|
|
|
do i = 0, np-1
|
|
|
|
write(0,*) 'Proc: ',i,' list: '
|
|
|
|
write(0,*) c_dep_list(dl_ptr(i):dl_ptr(i+1) - 1)
|
|
|
|
end do
|
|
|
|
end if
|
|
|
|
!
|
|
|
|
! 10. Scan the edge sequence;
|
|
|
|
! for each edge, take each one of its
|
|
|
|
! endpoints and queue the other
|
|
|
|
! node in the endpoint dependency list
|
|
|
|
!
|
|
|
|
do j=1,nedges
|
|
|
|
i = edges(1,j)
|
|
|
|
ix = dl_ptr(i)
|
|
|
|
c_dep_list(ix+dg(i)) = edges(2,j)
|
|
|
|
dg(i) = dg(i)+1
|
|
|
|
|
|
|
|
i = edges(2,j)
|
|
|
|
ix = dl_ptr(i)
|
|
|
|
c_dep_list(ix+dg(i)) = edges(1,j)
|
|
|
|
dg(i) = dg(i)+1
|
|
|
|
!
|
|
|
|
! If there are any self loops, adjust for error condition
|
|
|
|
! check
|
|
|
|
!
|
|
|
|
if (edges(1,j) == edges(2,j)) dg(i) = dg(i) -1
|
|
|
|
end do
|
|
|
|
|
|
|
|
do i=0, np-1
|
|
|
|
if (dg(i) /= l_dep_list(i)) then
|
|
|
|
if (me == 0) write(psb_err_unit,*) &
|
|
|
|
& 'SRTLIST Mismatch on output',i,dg(i),l_dep_list(i)
|
|
|
|
end if
|
|
|
|
end do
|
|
|
|
|
|
|
|
end subroutine psi_i_csr_sort_dl
|