Extended Introduction to HPC

3 Jun 2019, 10:00 → 7 Jun 2019, 16:30 Europe/Berlin

Seminar Room Ground Floor (CSBD)

Peter Steinbach

High-performance Computing (HPC) clusters are used for large scale data processing and data analysis, fine grained parallel calculations and simulations of ever increasing fidelity in industry and academia.

This course material is meant to introduce learners to the core principles behind using a HPC cluster, how to connect to it, how to dispatch jobs and retrieve their results, and how to program applications that can harness the full power of this parallel machinery. The course material also entails an opt-in introduction to using the *NIX command line.

Please note that this lesson uses Python 3 to demonstrate the capapbilities of a cluster based workflow without the intent of claiming python to be the universal language for HPC. Prior knowledge of python is beneficial but not required. Any basic background in programming will do.

Feedback day 1

green:

• good structure, +2
• very interactive coure
• exercises
• easy to follow
• like learning about pipes

red:

• like to learn more about the basic syntax of some commands
• more detailed session on with more examples on pipelines
• sometimes a bit too basic