The Future of Computational Science: HPC Meets AI
The rapid progress in AI increasingly requires computing resources far beyond conventional workstations. High Performance Computing (HPC) forms the backbone of modern data- and compute-intensive applications. Combining HPC expertise with AI methods opens entirely new possibilities in science and technology, particularly in: Advanced data analytics, Physical simulations, Stochastic modeling and uncertainty quantification, Data-driven applications.
The Summer School brings together leading HPC expertise with innovative approaches in AI, data analytics, physical simulations, and stochastic modeling.
Learn from leading HPC and AI experts from Europe and around the world
A consortium comprising the Technical University of Munich, ETH Zürich Campus Heilbronn, the Supercomputing Center Jülich, HLRS Stuttgart, the Swiss National Computing Center (CSCS) and the Leibniz Supercomputing Centre is organizing and hosting the first joint interdisciplinary summer school on advanced high-performance computing (HPC) techniques for machine learning, data-driven models, and physics-based simulations.
Over five days of intensive sessions, workshops, and networking opportunities, participants will learn how cutting-edge HPC technologies enable the next generation of data-driven applications—from scalable AI models to high-precision simulations of complex systems. They will gain insights into ongoing research projects, apply methods in practical exercises, and network with leading researchers and the regional innovation ecosystem in Heilbronn—a center for AI, digitalization, and high-performance computing.
We are proud to welcome an outstanding group of confirmed speakers from academia and industry, including:
- Andrew Grimshaw (Lancium Compute, USA)
- Jens Domke (RIKEN, Japan)
- Valentin Churavy (University of Augsburg, Germany)
- Torsten Kurth (Nvidia, Switzerland)
- Goran Flegar (Google AI, UK)
- Fernanda Foertter (University of Alabama, USA)
- Hatem Ltaief (KAUST, Saudi-Arabia)
- Monica Dessole (CERN, Switzerland)
- Marius Kurz (AMD, Germany)
- Johannes Gebert (HLRS)
- Mathis Bode (Juelich Supercomputing Centre)
Program highlights
- Kick-off social event: Get to know trainers, speakers, and other participants in a relaxed atmosphere.
- GPU programming & exascale hands-on: Intensive course with direct access to the JUPITER supercomputer.
- Smart breakfast sessions: Short, interactive presentations on research topics and productivity in the HPC environment.
- Conference Day: International guest speakers present cutting-edge topics from HPC, AI, and their convergence.
- Public Evening Lecture: Exciting insights into socially relevant applications of HPC and AI.
- Focused Specialist Modules: Containerization, AI on a large scale, future technologies, physics simulations, and HPC visualization.
With the support of
Why Should You Join?
- Advanced HPC & AI knowledge: Learn advanced topics such as performance engineering, containerization, scalable AI, and HPC-driven visualization.
- Networking & community: Make valuable contacts with like-minded people, experts, and leading HPC centers.
- Learn from top experts: International speakers from TUM, ETH Zürich Campus Heilbronn, JSC, HLRS, CSCS and LRZ.
- Practice-oriented project work: Contribute your own research questions and work on them directly with subject matter experts.
Who can join?
- Advanced master's students, doctoral candidates, young scientists (postdocs).
- Students from all over the world who want to deepen their expertise in the field of mainframe computing.
- Participants who already have experience with HPC and AI.
Course-Summary
Date: June 16 to June 20, 2026
Location: TUM Campus Heilbronn, Germany
Application deadline: May 15, 2026
Language: The program will be conducted entirely in English.
Prerequisites: We aim for participants to share a foundational understanding of Machine Learning and statistics, along with experience using HPC systems. Familiarity with the UNIX/Linux OS and basic programming tools (such as terminals, editors, compilers, and Python) will be highly beneficial.
Certificate: All participants will receive an issued Certificate by TUM upon successful completion.
Program fee: The participation fee is €500 and includes accommodation, meals, mentoring, and social events. Travel to and from Heilbronn is not included in the fee and must be arranged individually.
Student travel grant: ACM Europe School is generously sponsoring students to attend the school through a selection process, with a focus on promoting inclusivity in the HPC community by encouraging applications from students of diverse backgrounds. Selected students traveling from within Europe can receive a grant of up to € 600.-, while those traveling from other continents may be awarded up to € 1,400.- The grant can be used to cover transportation expenses and the participation fee.
Focus: Advanced high-performance computing (HPC) techniques for machine.
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