[Beowulf] any gp-gpu clusters?
Jeffrey B. Layton
laytonjb at charter.net
Fri Jun 22 08:34:46 PDT 2007
I have no idea if this will help anyone, but here is an article
that might help get started or at least provide some links:
WARNING: You have to register to read the article (sorry
From what I understand, CTM is really just the low-level definition
of the interface to AMD Stream processors. On the other hand
CUDA is a real compiler with added features to make coding
for GPUs easier. It also has a BLAS and FFT library.
I think NVIDIA is ahead in the tools department, but I don't
expect AMD to stay behind.
> Hi all,
> is anyone messing with GPU-oriented clusters yet?
> I'm working on a pilot which I hope will be something like 8x
> workstations, each with 2x recent-gen gpu cards.
> the goal would be to host cuda/rapidmind/ctm-type gp-gpu development.
> part of the motive here is just to create a gpu-friendly
> infrastructure into which commodity cards can be added and refreshed
> every 8-12 months. as opposed to "investing" in quadro-level cards
> which are too expensive enough to toss when obsoleted.
> nvidia's 1U tesla (with two g80 chips) looks potentially attractive,
> though I'm guessing it'll be premium/quadro-priced - not really in
> keeping with the hyper-moore's-law mantra...
> if anyone has experience with clustered gp-gpu stuff, I'm interested
> in comments on particular tools, experiences, configuration of the host
> machines and networks, etc. for instance, is it naive to think that
> gp-gpu is most suited to flops-heavy-IO-light apps, and therefore doesn't
> necessarily need a hefty (IB, 10Geth) network?
> thanks, mark hahn.
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