Monthly HPC Cafe
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, e.g., include advanced usage, workflow optimizations, or application-specific issues.
A separate event on the day after the HPC Café is especially dedicated to new users and HPC beginners. Each month, we offer a short introduction on using 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 (hopefully again soon)!
Next event: Tuesday, December 14, 2021, 4 p.m.
Focus topic: Python beyond the basics: Numpy, Scipy, Matplotlib
Duration: 1-2 hours
Location (until further notice – online session with audio only + screen sharing): https://fau.zoom.us/j/69439931483
Contact address for inquires: firstname.lastname@example.org
Next introduction for beginners: Wednesday, December 15, 2021, 4 p.m.
Current slides: HPC in a nutshell
Material from past events:
Tuesday, November 9, 2021
Tuesday, October 19, 2021
- Howto on using the Cx services based on the RRZE gitlab instances
Tuesday, September 14, 2021
- General Q&A, some advice on using (and not misusing) the file systems, current state of NHR system installation
Tuesday, August 10, 2021
- summer break; only the usual introduction for beginners
Tuesday, July 13, 2021
Tuesday, June 8, 2021
Tuesday, May 11, 2021
- “Continuous x” (Cx) for HPC Systems (guest talk by Jennifer Buchmüller and Terry Cojean, KIT)
Tuesday, April 13, 2021
- Julia in HPC (guest talk by Valentin Churavy, MIT CSAIL Julia Lab, MIT)
Tuesday, March 9, 2021
Tuesday, February 9, 2021
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
Tuesday, November 10, 2020
Tuesday, October 13, 2020
Tuesday, August 11th 2020 and September 8th 2020
- HPC in a nutshell; see the slides posted on https://hpc.fau.de/systems-services/hpc-user-training/
Tuesday, July 14th 2020
- Using the LIKWID tool suite
- Using Intel Trace Analyzer and Collector (ITAC)
- Using the Arm DDT debugger
Tuesday, June 9th 2020
Tuesday, May 12th 2020
Tuesday, April 14th 2020
Tuesday, March 10th 2020
- Modules and Software installation (Thomas Gruber, RRZE)
Tuesday, February 11th 2020
- Application Labs at LRZ (Gerald Mathias, LRZ)
Tuesday, January 14th 2020
Tuesday, December 10th 2019
- no slides but visit to RRZE’s server room
Tuesday, November 12th 2019
- How to assess the scalability of your parallel job and how many cores/nodes you should use
- How to interpret the hardware monitoring data
Tuesday, October 8th 2019
- see the HPC-Nutshell slides posted on systems-services/hpc-user-training/
Tuesday, September 10th 2019
- no slides – first getting to know each other