Hi,

For GPU integration we are using a solution like this one:

https://github.com/kyamagu/sge-gpuprolog

Regards


On Thu, May 18, 2017 at 12:37 PM, juanesteban.jime...@mdc-berlin.de <
juanesteban.jime...@mdc-berlin.de> wrote:

> Ok, so I create a new queue, gpu.q, that only has that node, with the
> complex value for the gpu. I removed the node from @allhosts so that the
> all.q and interactive.q don’t use the node. I also modified the user list
> so that only users authorized to use the GPU can use the node.
>
> But now I am told that this is not recommended. ??
>
> Mfg,
> Juan Jimenez
> System Administrator, BIH HPC Cluster
> MDC Berlin / IT-Dept.
> Tel.: +49 30 9406 2800
>
> On 17.05.17, 09:44, "William Hay" <w....@ucl.ac.uk> wrote:
>
>     On Tue, May 16, 2017 at 08:07:15PM +0000, JuanEsteban.Jimenez@mdc-
> berlin.de wrote:
>     > In our cluster we have one node with two Nvidia GPUs. I have been
> trying to figure out how to set them up as consumable resources tied to an
> ACL, but I can't get SGE to handle them correctly. It always says the
> resource is not available.
>     >
>     > Can someone walk me through the steps required to set this up
> correctly? The docs I have found are rather cryptic.
>     Assuming you want other people to be able to use the node but not the
> GPUs I would think the process would be:
>     1)Define the resource in the complex_values of a queue that exists
> only on the node in question.
>     2)Add the Grid Engine ACL to the queue.
>     3)Ensure all resources shared between gpu and non-gpu jobs (including
> slots/cpus) are defined on the
>     host rather than the queue.
>
>     You might want to set up the prolog and epilog to twiddle the
> permissions on the /dev/ files representing
>     the GPUs so only the job can access them to enforce access.
>
>
>
>     William
>
>
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