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Subject: Re: [Boost-users] Parallel BGL status in Boost
From: Nick Edmonds (ngedmond_at_[hidden])
Date: 2009-09-03 16:37:13
On Sep 3, 2009, at 12:02 PM, Mathieu Malaterre wrote:
> Hi there,
>
> I am getting lost with the status of PBGL in boost. Is it officially
> in Boost now ? I am reading some documentation such as:
>
Yep, PBGL as in the distributed data structures, MPI infrastructure,
and distributed algorithms is now in Boost.
> http://charm.cs.uiuc.edu/charmWorkshop/slides/2009_PBGL_Lumsdaine.pptx
>
> And it appears there are multiple implementations (see slide #54),
> namely 'the Parallel BGL' (is there only one?) and the (Parallel)
> BGL-VTK. Documentation links to : http://www.osl.iu.edu/research/pbgl
> but this page has not been updated in years, and recent commit AFAIK
> did happen directly within boost, right ?
The (Parallel) BGL-VTK project you mention is simply a set of wrappers
that allow (Parallel) BGL to be used as a back-end to VTK. Kitware is
the official holder of the sources here I believe, but if you need
more info I can tell you who to talk to. That slide references a
single core project, the Parallel BGL, and several interfaces (the
Python ones, which I don't maintain but could probably track down
someone for you to talk to about them), as well as the aforementioned
VTK wrapper.
Yep, that webpage is desperately out of date, I'm a terrible
webmaster. Updating it (and the attendant performance numbers) has
been on my todo list for ages. I'd make more promises, but they'd
probably sound hollow now. So when I actually do it, it will be a
pleasant surprise.
>
>
> Is there some threads I am missing, I have been following boost
> users list but could not find any thread relevant.
>
> Basically all I am interested in is how do you provide an iterator
> interface in a parallel environment where vertex/edge are not local to
> the machine.
Structural information about the graph is only available on the
process that owns that portion of the graph. Currently PBGL
distributes the graph using a row-wise decomposition of the adjacency
matrix. This means that calling vertices(g) returns the local vertex
set owned by the calling process. The result of calling edges(g)
depends on the directed category of the edge, but basically iterates
over incident edges. Attempting to access structural information that
is not local to the calling process, i.e. calling out_edges(v, g)
where 'v' is not owned by the calling process is invalid and results
in undefined behavior.
If you want more details, to know why things work the way they do now,
or how they might work in the future, feel free to ask away.
Thanks,
Nick
>
>
> Thanks
> --
> Mathieu
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