This is an on-site course at NHR@FAU in Erlangen. There will be no possibility to join remotely via video conference. You must travel to Erlangen to participate. We cannot provide any travel grants.
Registration
Please register via Indico by ECAP@FAU with your official e-mail address to prove your affiliation.
Contents
This on-site course in Erlangen, a collaboration of Erlangen National High Performance Computing Center (NHR@FAU) and Leibniz Supercomputing Center (LRZ), is targeted at students and scientists with interest in programming modern HPC clusters from the research group to the computing center level.
Topics covered include:
- HPC Introduction, Systems in Germany
- Elements of OpenMP
- Elements of MPI
- Performance Pitfalls and Program Optimisation
- Profiling Tools
- OpenMP for GPU Programming
- Outlook to Hybrid Parallel Programming
- Working with HPC Clusters in Practice
Prerequisites
Course participants should have a working UNIX/Linux knowledge (login with secure shell, shell commands, compilers, vi or emacs editors). Good working knowledge of at least one of the standard HPC languages: Fortran 95, C or C++ is also required.
Hands-On
Exercises will be conducted on a Linux Cluster at NHR@FAU in Erlangen.
Content Level
The content level of the course is broken down as:
| Beginner's content: | 70% |
| Intermediate content: | 30% |
| Advanced content: | 0% |
| Community-targeted content: | 0% |
Language
English
Lecturers
Dr. Alireza Ghasemi, Dr. habil. Georg Hager, Dr. Sebastian Kuckuk (all NHR@FAU) and Dr. Volker Weinberg (LRZ)
Prices and Eligibility
The course is open and free of charge for people from academia from the Member States of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.
Participants from industry are not eligible to take part in this course.
Withdrawal Policy
Please only register if you are committed to attending the course. No-shows will be blacklisted and excluded from future events.
If you need to withdraw your registration, please either cancel it directly through the registration system or send an email to [email protected].
Waiting List
If the course reaches its maximum capacity, you can request to join the wait list by sending an email to [email protected]. Please include your name and university affiliation in the message.
Legal Notices
Registration is done via Indico https://indico.ecap.work/ hosted by ECAP@FAU.
See Data Privacy