Höchstleistungsrechenzentrum Stuttgart: Hybrid Programming in HPC

Prerequisites and content levels

Prerequisites:

Participants are expected to be familiar with basic MPI and OpenMP programming since this course is not for beginners in parallel programming. Minimum requirements is that you are familiar with the topics of days one and two at https://fs.hlrs.de/projects/par/events/2022/agenda_2022-PAR.pdf. You are well prepared if you attended our HLRS courses on MPI and OpenMP for instance.
For the hands-on sessions you should know Unix/Linux and either C/C++ or Fortran.
The hands-on labs will be done on a cluster at HLRS, all participants will get a training user account for the duration of the course.

Content levels:

Advanced: 16 hours

Learn more about course curricula and content levels.

Instructors

Claudia Blaas-Schenner (VSC Research Center, Vienna University of Technology and EuroCC-Austria),
Georg Hager (NHR@FAU, University of Erlangen-Nuremberg),
Tobias Haas (HLRS, University of Stuttgart)

Learning outcomes

This course provides scientific training in Computational Science, focusing on hybrid programming techniques to efficiently optimize memory usage and communication on multi-core, multi-socket HPC systems, with and without accelerators.

Agenda

The presentation times listed in the agenda are tentative.
----------- PRELIMINARY AGENDA -----------

1st day – Tuesday, 10 February 2026

09:45 Join in
10:00 Welcome
10:10 Hunter's hardware architecture and its programming models
   Dr. Christian Simmendinger (HPE) and Igor Pasichnyk (AMD), and Johanna Potyka (AMD)
11:00   Break
11:15 Introduction to Hybrid Programming in HPC – MPI+X
11:45 Programming Models
11:50 - MPI + MPI-3.0 Shared Memory
12:30   Lunch
14:00 - MPI + OpenMP
14:30 Practical (how to compile and start)
14:45 Break
15:00 - MPI + OpenMP continued
15:45 Practical (how to do pinning)
16:15 Q & A
16:30 End of first day

2nd day – Wednesday, 11 February 2026

08:45 Join in
09:00 - continue: MPI + OpenMP
09:00 - Case study: Simple 2D stencil smoother
09:30 Practical (hybrid through OpenMP parallelization)
10:45 Break
11:00 - Overlapping Communication and Computation
11:30 Practical (taskloops)
12:15 - MPI + OpenMP Conclusions
12:30 Lunch
14:00 - MPI + Accelerators
15:00 Break
15:15 - MPI + Accelerators (continued)
16:15 Q & A
16:30 End of second day

3rd day – Thursday, 12 February 2026

08:45 Join in
09:00 Programming Models (continued)
09:05 - MPI + Accelerators (continued)
10:00 Break
10:15 - MPI + Accelerators (continued)
12:05 Lunch
13:35 Practical (offloading)
14:15 Conclusions
14:00 Q & A, Feedback
14:30 End of third day (course)

Handout

A link to the course material (slides and exercises) will be available at course start

HLRS concept for on-site courses

Besides the content of the training itself, an important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by

a social event on the evening of the first course day,
offering common coffee and lunch breaks and
working together in groups of two during the exercises. Laptops wil be provided.

Registration information

Register via the button at the top of this page.
This course will be hybrid, i.e. it will take place at HLRS on-site but it will also be possible to attend online. Participants, online as well as on-site, have to be aware and agree that they might appear in the live video stream taken by a camera in the back of the lecture room or by a webcam on laptops. We strongly recommend to attend this course on-site since on-site attendance is much more effective and efficient in our experience. Therefore we might give priority to on-site over online participants during registration.

Please be aware that the Zoom session will be recorded. You declare that you are aware of and consent to the recording by registering.

Registration closes on Sunday, 1 February 2026.

Late registrations after the registration phase are still possible according to the course capacity. We cannot guarantee a cluster account for the hands-on sessions for late registrations.

Fees

Students without Master's degree or equivalent. Participants from EU or EuroCC countries only: 0 EUR
PhD students or employees at a German university or public research institute: 0 EUR
PhD students or employees at a university or public research institute in an EU or EuroCC country other than Germany: 0 EUR.
Other participants, e.g., from industry, other public service providers, or government. Participants from EU or EuroCC countries only: 0 EUR

Our course fee includes coffee breaks (in classroom courses only).

For lists of EU and EuroCC countries have a look at the Horizon Europe and EuroCC website.

Only participants from institutions belonging to these countries can take part in this course.

Contact

Tobias Haas phone 0711 685 87223, training(at)hlrs.de

HLRS training collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC. Since 2025, HLRS coordinates HammerHAI.

This course is provided within the framework of EuroCC2 and the bwHPC training program.

This is a joint training event of EuroCC@GCS and EuroCC-Austria.

Acknowledgements

Within the scope of the EuroCC2 project this training is offered free of charge. By participating in a training free of charge, companies receive state-aid corresponding to the regular market-prices listed in the service portfolio. Please note state-aid regulations in Germany.

EuroCC 2 and EuroCC4SEE have received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903 and No 101191697. The JU receives support from the European Union’s Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia, Bosnia and Herzegovina.

Further courses and training team

See the training overview and the Supercomputing Academy pages.
See also information about the HLRS training department and staff.