Information about the HPC-Cluster

In order to get access to the department of physics HPC resources you need to send an email to hpc@physik.fu-berlin.de. Please supply the following information:

1. Your ZEDAT account username
2. The group you are using the system for (e.g. ag-netz,ag-imhof,…)
3. The software you are using for your simulations (e.g. gromacs, gaussian, self-written code in language XYZ, …) and whether you use MPI or OpenCL/CUDA.
4. Software that you happen to know so well that other HPC users within the department may ask you for help.
5. A self-contained example job that is typical for the workload you will be using the HPC systems for, ideally with a small README describing how to run it and a job script. If possible scale it so it runs between a few minutes and an hour at maximum.
6. If you are no longer a member of the physics department, we would like to get an estimate on how much longer you will need access to the systems (e.g. to finish some paper)

• Important notes on cluster usage
• Start with the Introduction to the Slurm HPC cluster.
• Using interactive sessions with the queuing system.
• How to make use of the GPU-nodes.
• Here is a list of special nodes that are currently not part of slurm.
• Here is a list of HPC users and the software they use

• Robert Hübener from AG-Eisert has written a HOWTO for using Mathematica on a HPC-Cluster.
• A more current Python version has been built for cluster usage. The Python on the HPC-Cluster tutorial describes how to set it up.

The following table lists some HPC resources available at the physics department. The tron cluster at Takustrasse 9 is currently being restructured. We also have some special purpose nodes that are currently not managed by Slurm.

The name of the login node for each of our clusters has the same name as the cluster, e.g. the tron login node is reachable via ssh under the hostname tron.

(06.11.2018)