When

Jun 16, 2026 04:00 PM to Jun 20, 2026 05:00 PM
(Europe/Berlin / UTC200)

Where

TUM Campus Heilbronn, Germany

Contact Name

Contact Phone

+49 (0)7131 26418-311

Add event to calendar

iCal

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.

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.

  • 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.

Apply now

  • 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.

For

  • 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.

Application deadline: May 29, 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: There is no participation fee for attending the summer school. The program includes the academic and social program as well as support from the organizers. Accommodation, as well as travel to and from the event, are not included and must be arranged and paid for by the participants themselves.

Focus: Advanced high-performance computing (HPC) techniques for machine.

Apply now