Am 14.04.2014 um 20:06 schrieb Feng Zhang:

> Thanks, Ian!
> 
> I haven't checked the GPU load sensor in detail, either. It sounds to
> me it only handles the number of GPU allocated to a job, but the job
> doesn't know which GPUs it actually get and set the
> CUDA_VISIBLE_DEVICE(some programs need this env to be set). This can
> be done by writing some scripts/programs, but to me, it is not an
> accurate solution, since some jobs may still happen to collide to each
> other on the same GPU on a multiple GPU node. If GE can have the
> memory to record the GPUs allocated to a job, then this can be
> perfect.

Like the option to request sockets instead of cores which I posted in the last 
couple of days, you can use a similar approach to get the number of the granted 
GPU out of the queue name.

-- Reuti


> On Mon, Apr 14, 2014 at 1:46 PM, Ian Kaufman <ikauf...@eng.ucsd.edu> wrote:
>> I believe there already is support for GPUs - there is a GPU Load
>> Sensor in Open Grid Engine. You may have to build it yourself, I
>> haven't checked to see if it comes pre-packaged.
>> 
>> Univa has Phi support, and I believe OGE/OGS has it as well, or at
>> least has been working on it.
>> 
>> Ian
>> 
>> On Mon, Apr 14, 2014 at 10:35 AM, Feng Zhang <prod.f...@gmail.com> wrote:
>>> Hi,
>>> 
>>> Is there's any plan to implement the GPU resource management in SGE in
>>> the near future? Like Slurm or Torque? There are some ways to do this
>>> using scripts/programs, but I wonder that if the SGE itself can
>>> recognize and manage GPU(and Phi). Not need to be complicated and
>>> powerful, just do basic work.
>>> 
>>> Thanks,
>>> _______________________________________________
>>> users mailing list
>>> users@gridengine.org
>>> https://gridengine.org/mailman/listinfo/users
>> 
>> 
>> 
>> --
>> Ian Kaufman
>> Research Systems Administrator
>> UC San Diego, Jacobs School of Engineering ikaufman AT ucsd DOT edu
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