Sorry,  https://slurm.schedmd.com/srun.html#lbAH

On Wed, 4 Dec 2019 at 10:36, Alan O'Cais 
<[email protected]<mailto:[email protected]>> wrote:
Hi Loris,

You can use environment variables for that, see 
https://slurm.schedmd.com/srun.html#lbAI

Alan

On Wed, 4 Dec 2019 at 10:23, Loris Bennett 
<[email protected]<mailto:[email protected]>> wrote:
Hi,

With Kenneth's help I have realised/remembered that I need to compile
Keras / TensorFlow on a machine with the appropriate CUDA drivers.  This
seemed like a good scenario in which to use the

  --job

option.  However, if I write

  ... --job --job-backend=Slurm --job-cores=4

I would still need to specify the partition with the GPU nodes, so that
the job is indeed scheduled to a machine on which the drivers are
installed.

How would I do that?

Cheers,

Loris

--
Dr. Loris Bennett (Mr.)
ZEDAT, Freie Universität Berlin         Email 
[email protected]<mailto:[email protected]>


--
Dr. Alan O'Cais
E-CAM Software Manager
Juelich Supercomputing Centre
Forschungszentrum Juelich GmbH
52425 Juelich, Germany

Phone: +49 2461 61 5213
Fax: +49 2461 61 6656
E-mail: [email protected]<mailto:[email protected]>
WWW:    http://www.fz-juelich.de/ias/jsc/EN


--
Dr. Alan O'Cais
E-CAM Software Manager
Juelich Supercomputing Centre
Forschungszentrum Juelich GmbH
52425 Juelich, Germany

Phone: +49 2461 61 5213
Fax: +49 2461 61 6656
E-mail: [email protected]<mailto:[email protected]>
WWW:    http://www.fz-juelich.de/ias/jsc/EN


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