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MapReduce, mail # user - Re: building a department GPU cluster


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Re: building a department GPU cluster
Roberto Nunnari 2013-01-17, 13:18
Roberto Nunnari wrote:
> Hi all.
>
> I'm writing to you to ask for advice or a hint to the right direction.
>
> In our department, more and more researchers ask us (IT administrators)
> to assemble (or to buy) GPGPU powered workstations to do parallel
> computing.
>
> As I already manage a small CPU cluster (resources managed using SGE),
> with my boss we talked about building a new GPU cluster. The problem is
> that I have no experience at all with GPU clusters.
>
> Apart from the already running GPU workstations, we already have some
> new HW that looks promising to me as a starting point for a GPU cluster.
>
> - 1x Dell PowerEdge R720
> - 1x Dell PowerEdge C410x
> - 1x NVIDIA M2090 PCIe x16
> - 1x NVIDIA iPASS Cable Kit
> (Dell forgot to include the iPASS adapter for the R720!! :-D)
>
> I'd be grateful if you could kindly give me some advice and/or hint to
> the right direction.
>
> In particular I'm interested on your opinion on:
> 1) is the above HW suitable for a small (2 to 4/6 GPUs) GPU cluster?
> 2) is apache adhoop suitable (or what could we use?) as a queuing and
> resource management system? We would like the cluster to be usable by
> many users at once in a way that no user has to worry about resources,
> just like we do on the CPU cluster with SGE.
> 3) What distribution of linux would be more appropriate?
> 4) necessary stack of sw? (cuda, hadoop, other?)
>
> Thank you very much for your valuable insight!
>
> Best regards.
> Robi

Anybody on this, please?
Robi
+
Colin McCabe 2013-01-28, 22:34