Mark,I am messing up with a GPU oriented cluster. I am now on travel to ISC, where I will show a sustained Teraflop with a workstation with 4 Tesla cards using VMD to do ion placement (for the list member going to Dresden stop by to the Nvidia booth to see the demo in action). This was a computation that used to take 100 CPU hours on an Altix and it is now done in the matter of minutes. Yes, the whole system probably consumes 900W ( the tdp of a tesla is 170W not 220W), but I can assure you that is nothing compared to a big Altix machine and you can put under your desk and do some real science.
Several groups are building gpu-oriented cluster. Once mine is completed ( 8 compute nodes, each one with 2 Tesla boards) , it should be accessible for testing to academic and research group. People interested in testing their CUDA codes on cluster could drop me an email. On a side note, it is interesting to see all the speculations from people that have never used CUDA (and most of the time don't have a clue...) and at the same time to see quality software (mostly open source like VMD, NAMD, SOFA ) achieving pretty impressive results and enabling new science. Massimiliano PS: Usual disclaimer, I work in the GPU Computing group at NVIDIA. On 6/21/07, Mark Hahn <[EMAIL PROTECTED]> wrote:
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. _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
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