Difference between revisions of "GPU Usage"

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=== How to request a GPU ===
=== How to request a GPU ===


In order to use one or more GPUs for your Job you will have to request a Generic resource (GRES). You can do that by adding the following line to your jobscript:
In order to use a GPUs for your Job you will have to request a Generic resource (GRES). You can do that by adding the following line to your jobscript:
   
   
  #SBATCH --gres=gpu:1
  #SBATCH --gres=gpu:1
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  #SBATCH --gres=gpu:3
  #SBATCH --gres=gpu:3
You will also have to add the following line to your jobscript:
#SBATCH --partition=mpcg.p
This will allow you to use one (or more) of the Tesla P100 cards. You could also add the line
#SBATCH --partition=mpcb.p
which has some nodes with GTX 1080 cards.

Revision as of 08:49, 14 March 2018

Introduction

Since we got 12 dedicated GPU nodes (mpcg[001-009]) containing one NVIDIA Tesla P100 each and four additional nodes (mpc[001-004]) containing two GTX 1080 each, its possible to run your jobs with one or multiple associated GPUs. The usage might not be self-explanatory, we created this guide to help you get everything set up and working properly.

How to request a GPU

In order to use a GPUs for your Job you will have to request a Generic resource (GRES). You can do that by adding the following line to your jobscript:

#SBATCH --gres=gpu:1

This will request one GPU. A suitable node will be automatically chosen by SLURM.

Of couse its possible to request more than one GPU. With the following line of code you will request 3 GPUs:

#SBATCH --gres=gpu:3

You will also have to add the following line to your jobscript:

#SBATCH --partition=mpcg.p

This will allow you to use one (or more) of the Tesla P100 cards. You could also add the line

#SBATCH --partition=mpcb.p

which has some nodes with GTX 1080 cards.