Difference between revisions of "GPU Usage"
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This will request ''one'' GPU. A suitable node will be automatically chosen by [[SLURM Job Management (Queueing) System | SLURM]]. | This will request ''one'' GPU. A suitable node will be automatically chosen by [[SLURM Job Management (Queueing) System | 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 | |||
Revision as of 09:55, 21 February 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.
Examples
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:
#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
