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Date: Thu, 17 Jan 2013 14:18:41 +0100
From: Roberto Nunnari <roberto.nunnari@supsi.ch>
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Subject: Re: building a department GPU cluster
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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