Due to the current situation, the exchange with the HPC team is currently limited:
- Please contact us by e-mail to one of the addresses below. Primarily, please contact our support address email@example.com.
- We are currently not available by telephone. However, if you urgently need a personal conversation, we will be happy to call you back after consultation.
- Until further notice, we are not personally present in the office.
HPC Introductory Course (Workshop)
Introduction to HPC
The HPC introductory course is a workshop for all current and future users of the HPC cluster. On usually three days basic and advanced knowledge for the use of the cluster will be provided and practically tested. Dates and links to current courses, as well as slides and exercises from previous courses can be found in the Wiki.
The workshops takes place regularly once per semester during the semester break.
Registration via Stud.IP is welcome and makes course planning easier for us, but it is not mandatory for participation.
If you have any problems with the registration process or should you have general questions, please feel free to contact us via e-mail.
The course language is generally English.
Lecture: Introduction to High-Performance Computing
Once a year a lecture on HPC computing takes place, which is rewarded with 3 CP.
Registration via Stud.IP is required.
(Title: 'Lecture: Introduction to High-Performance Computing')
- Using HPC Clusters
- Parallel Programming Models
- Introduction to MPI
- Introduction to OpenMP
- Using Matlab Distributed Compute Server (MDCS)
- GPU computing
- Data Storage and Management
Prerequisites for this are knowledge of a programming language (e.g. C++, Fortran) as well as basic knowledge of mathematics and natural sciences.
Here, too, the course language will usually be English.
Further information can also be found in the Wiki.
Apart from the courses offered within the University of Oldenburg, external training courses can also be good alternatives. Some external HPC groups, which also offer some courses, are listed below as examples:
Norddeutscher Verbund für Hoch- und Höchstleistungsrechnen (HLRN):
High Performance Computing Center Stuttgart (HLRS):
Partnership for Advanced Computing in Europe (PACE or PRACE):
Currently you can register for a free ExaHyPE user/dissemination workshop.
("ExaHyPE (exahype.eu) is an open source simulation engine to solve systems of hyperbolic equation systems.")