Dedicated partitions

Have a look at this page: Slurm

As of January 2019 the iris cluster features also GPU accelerated and large memory nodes. They are all based on the Skylake-generation CPUs, and are divided in separate partitions with nodes homogeneous per partition:

How to reserve GPUs on Slurm?

Have a look at this page: Slurm examples

• Submit a job script to the gpu partition, requesting 2 cores and 2 GPUs on a single node:

1

sbatch -N 1 -n 2 --gres=gpu:2 -p gpu --qos qos-gpu job.sh

• Submit a job script to the gpu partition, requesting 4 nodes with 2 cores/node and 4 GPUs/node:

1

sbatch -N 4 --ntasks-per-node=2 --gres=gpu:4 -p gpu --qos qos-gpu job.sh

How to run code ?

Look at the ULHPC tutorials especially the ones on Deep learning

The Python version and Tensorflow can be used with Modules

How to use X11 forwarding on GPU ?

Look at the FAQ entry to know how to use X11 forwarding.

Troubleshooting

• Have a look at FAQ or Report a problem

Using Bigmem