The school will cover the optimisation of computations on different types of hardware (CPU, GPU), presenting their respective characteristics, architectures and bottlenecks. It will cover generic optimization methods applicable to all types of hardware, as well as the various libraries, technologies and languages available to achieve the best possible performance. Ideally, the peak performance of the machine.
This event will be offered in a satellite site format, with HLRS (Stuttgart, Germany) serving as one of the official satellite locations. A satellite site refers to a geographically separate venue connected to the main training hub at LAPP (Annecy, France), allowing participants to join the program without traveling to the primary location.
Participants attending the course at HLRS will benefit from an on-site environment with local teaching assistance available to support them throughout the training. This setup offers opportunities for in-person interaction, hands-on guidance, and collaboration with peers, while staying fully connected via videoconference to the main tutors/speakers in Annecy.
The school is co-organised by HLRS and LAPP (Annecy Particle Physics Laboratory) for EuroCC@GCS and CC-FR, all National Competence Centres for High-Performance Computing.
HLRS, University of Stuttgart Nobelstraße 19 70569 Stuttgart, Germany Room 0.439 / Rühle Saal Location and nearby accommodations
Jun 23, 2025 13:30
Jun 28, 2025 18:00
Stuttgart, Germany
English
Basic
Intermediate
Parallel Programming
Programming Languages for Scientific Computing
C/C++
MPI
MPI+OpenMP
Numerical Methods
OpenMP
Python
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Learn more about course curricula and content levels.
Pierre Aubert (LAPP); Hadrien Grasland (IJCLab), David Chamont (IJCLab), Vincent Lafage (IJCLab); Jean-Marc Colley (LPNHE), Nabil Garroum (LPNHE); Alice Faure (LUPM); Joël Falcou (LRI);Sébastien Valat (INRIA).
The school will cover the optimization of computations on different types of hardware (CPU), presenting their respective characteristics, architectures and bottlenecks. It will cover generic optimization methods applicable to all types of hardware, as well as the various libraries, technologies and languages available to achieve the best possible performance. Ideally, the peak performance of the machine.
All the methods will be illustrated on simple examples, such as Hadamard products, reductions, barycentre calculations and matrix products, in order to be applied to a single problem: the simulation of a Gray Scott reaction.
This problem is simple enough to be understood quickly and complex enough for compilers to have difficulty optimizing it without help. Each method will be broken down into a simple version, using default options, and one or more advanced versions, which will allow their advantages and disadvantages to be discussed and quantified.
CEST time:
Day 1 (Mond, June 23): [on-site] Introduction
Day 2 (Tue, June 24): [on-site] C++ 17/2023 on CPU
Day 3 (Wed, June 25): [on-site] SYCL 2020 on CPU
Day 4 (Thu, June 26): [on-site] Rust on CPU
Day 5 (Fri, June 27): [on-site] Python on CPU
Day 6 (Sat, June 28): [online only] Hands-on
Besides the content of the training itself, another important aspect of this event is the scientific exchange among the participants. We try to facilitate such communication by
Register via the button at the top of this page.
Note: you will be able to join the summer school on-site at HLRS only for the first week, from June 23rd to June 28th (the last day - online only).
This course is offered in cooperation by HLRS, LAPP. Registration is done via https://www.lapp.in2p3.fr. Your registration data will be transferred to these partners. For legal notes see the Privacy Policy.
Registration closes on June 20, 2025 at 23:55.
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.
Maksym Deliyergiyev phone 0711 685 87261, maksym.deliyergiyev(at)hlrs.deTobias Haas phone 0711 685 87223, tobias.haas(at)hlrs.de
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.
This course is provided within the framework of EuroCC2.
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.
https://www.lapp.in2p3.fr/en/THE-GRAY-SCOTT-SUMMER-SCHOOL
See the training overview and the Supercomputing Academy pages.See also information about the HLRS training department and staff.
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