High Performance Computing at the University of Bonn

Welcome to High Performance Computing (HPC) at the University of Bonn. This website is your central hub for everything concerning HPC.

Here you can find information on the central HPC systems at the University of Bonn, possibilities to interact with the HPC community and our partners (like HPC.NRW), training opportunities, and articles on important topics such as publication policies. There is also information on our consulting services and what to do if you want to use other HPC systems beyond Uni Bonn.

This website is the shared work of both our HPC-related groups: The HPC team at the University Computer Centre (HRZ) and the High Performance Computing and Analytics Lab (HPC/A-Lab).

Latest News
Update: Marvin available again, filesystem problems

Second update April 25, 2024:

All filesystems are now working normally again

Update April 25, 2024:

The workspaces and other filesystems are still not working correctly. We will let you know when the situation changes.

Update April 24, 2024:

Marvin is now available again. Since the shutdown happened suddenly, we highly recommend that you check all your jobs, as some of them might have been terminated prematurely.

You can use all queues again, however all queues have only half their nodes online since we still cannot run with full cooling capacity. You do not have to do anything different than normally, it just might result in longer waiting times.

We will let you know if the situation changes.


Update: Marvin has to stay down until at least Tuesday noon (April 23, 2024). We will notify you of all further developments


Dear HPC users,

Marvin was shut down over the weekend due to a cooling failure. We will notify you when it is available again.

We apologize for the inconvenience.

Scheduled Marvin Downtime on March 26, 2024

Dear HPC users,

due to a firmware upgrade we need to schedule a Marvin downtime for Tuesday, March 26, 2024. It will start at 9:00 and most likely take around four hours.

No job that is currently running should be affected. Any jobs that are in the waiting queue on that day will simply start running after the maintenance window.

We will notify you when the maintenance work has been completed.

Marvin registrations now open!

Dear HPC users,

we are happy to announce that you can now register for using Marvin. Below are the most important things you need to know:

HPC-Cluster "Marvin" Opening on March 11, 2024

Testing phase for experienced users will be re-launched on February 13th

"Marvin", Uni Bonn's supercomputer, installed in 2023, is nearing its final release day. The cluster, consisting of 192 MPP nodes with a total of 18400 compute cores plus an additional 300 NVIDIA GPUs, had been presented to the public in a festive inauguration ceremony on October 20th, marking the start of an intense testing phase allowing highly experienced "power-users" to already use the cluster for numerical simulations while at the same time reporting any potential problems or hickups to the maintenance team at the Computing Centre. This first testing phase started overwhelmingly positively, showing that the performance of the cluster is even higher than had been previously promised by the vendor Megware.

Upcoming Events
Linux Introduction Course (summer 2024)
PC Room 0.012 at the ...
03:30 PM
In this course, you will learn about the following topics: - Using the command line - The ideas behind concepts like users, files, processes and ...
Introduction to Working on HPC Clusters (summer 2024)
HRZ, Wegelerstr. 6, ...
Whole Day
If you use Bonna, Bender or another compute resources of Uni Bonn, or if you are planning to do so, then this course is your most important entry point. In ...
Version Control with Git (summer 2024)
PC Room 0.012 at the ...
03:30 PM
Do you develop software? Never used git before? Or maybe you use it but do not understand what is actually going on? This course is for you! Topics: - ...
Building a Raspberry Pi Cluster (summer 2024)
Endenicher Allee 11-13
Whole Day
What could be a better way to understand how an HPC cluster is built than building one yourself? We throw dozens of Raspberry Pis, Cables, SD-cards and stuff ...
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