Monthly HPC Cafe

The HPC Café is an offering to complement our other established contact channels and training offerings. Every second Tuesday of the month this is an opportunity to get to know each other.

We always start with a short Q&A session, where you can ask and discuss anything HPC related, from running job scripts to performance issues.
Every month, we will also focus on a specific topic, either as a short talk or a discussion. These can for example include advanced usage, workflow optimizations, or application-specific topics.
A separate part of the HPC Café is especially dedicated to new users and HPC beginners. Each month, we offer a short introduction on how to use the HPC systems at RRZE, including an overview of HPC clusters, how to connect to the systems, how to use the batch system, and more.

The HPC Café is also an informal platform to give feedback or talk about general requests. We look forward to meeting you and hope for lively participation.

One more reason for coming: There will be free coffee and cake!

Next event: Tuesday, May 11, 2021, 4 p.m.

Focus topic: TBA
Duration: 1-2 hours

Location (until further notice – online session with audio only + screen sharing): https://bbb.cs.fau.de/r/HPC-Cafe – no need to install a dedicated client – just join with a modern web browser.

Contact address for inquires: hpc-support@fau.de

Next introduction for beginners: Wednesday, May 11, 2021, 4 p.m.

Location: same as above

Material from past events:

Tuesday, March 9, 2021

Git part 2: advanced features and workflows
- Video recording

Tuesday, February 9, 2021

Git: basics, common workflows, and tips and tricks
- Video recording

Tuesday, January 12, 2021: Focus topic: AI-assisted research at FAU – Four FAU researchers give short talks about how their projects benefit from Artificial Intelligence (AI) methods and what resources they require for it.

Changes to expect for TinyGPU in 2021 and other news
Peter Uhrig: “HPC workflows for big data and machine learning applications”
Benedikt Lorch: “Deep learning in the HPC environment Computing demands for research in multimedia forensics”
Harald Köstler: “Deep learning for Computational Fluid Dynamics”
Thorsten Glüsenkamp: “AI research in astroparticle physics at ECAP”

Tuesday, December 8, 2020