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Re: [Condor-users] GPU and condor?
- Date: Thu, 07 Jan 2010 11:03:35 -0600
- From: Ioan Raicu <iraicu@xxxxxxxxxxxxxxx>
- Subject: Re: [Condor-users] GPU and condor?
I don't have much experience with GPUs either, but as far as I know, a
GPU cannot be partitioned in order to run different kernels (the
execution job) at the same time. Its true that a kernel can be specified
to run on only part of the GPU (e.g. 32 of the 800 cores), but I believe
the remainder of the cores will be idle, and cannot simply be assigned
to a different kernel. Getting to the point where a GPU could be treated
like a collection of separate cores would be great, but I don't think
its as straight forward as one might think, at least with today's GPU
hardware. If anyone has more experience with GPUs, and how this might be
achievable in practice, I'd be curious to learn more.
Ian Stokes-Rees wrote:
On 1/7/10 10:38 AM, Miron Livny wrote:
To all GPUers out there,
We would be very interested in hearing from you what Condor can do to
help you in managing GPU clusters. So far we did not find much we can
offer in this space. Any guidance you can provide will be most welcomed.
I'm not very involved in GPU computing, but one thing we would imagine
wanting to do would be segmentation of a GPU into multiple job slots.
One could imagine a GPU-centric pool configuration where a single
system with, say, 8 CPU cores, manages a connect GPU system with, say,
32 sets of 32 stream processors each, or 4 sets per CPU. The one
physical system which usually would have 8 condor job slots would
instead have 32 job slots.
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Ioan Raicu, Ph.D.
NSF/CRA Computing Innovation Fellow
Center for Ultra-scale Computing and Information Security (CUCIS)
Department of Electrical Engineering and Computer Science
2145 Sheridan Rd, Tech M384
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