2025-10-15 SuperMUC-NG AI Hackathon on Intel Data Center GPUs (haiht2w25)

Contents

The aim of this multi-day event is to help users get up and running on the SuperMUC-NG Phase 2 partition, which features Intel Ponte Vecchio accelerators. The first in a series of upcoming Hackathons, this edition will focus on user projects in the Machine Learning and Deep Learning domains. Participants will benefit from direct access to the cluster and hands-on support from LRZ and Intel experts. Together, we'll work on:

•  Understanding the system's architecture and available resources
•  Exploring the software stack for Machine Learning and Deep Learning applications
•  Getting user code running efficiently on the system
•  Identifying performance bottlenecks and planning optimisation strategies

To ensure a smooth start, a preparatory online dry-run session will be held in advance to familiarise users with cluster access and navigation. The on-site Hackathon will include brief introductory presentations, followed by ample time for hands-on work on participants' project codes in close collaboration with Intel and LRZ experts.

The Hackathon is co-organised by LRZ and Intel.

Picture: SuperMUC-NG Phase 2  © LRZ

Prerequisites

• Teams are expected to be fluent with the code or project they bring to the event and motivated to make progress during the Hackathon.
• A general background in AI and GPU computing (not specific to Intel hardware) is beneficial.
• It would be advantageous if the code already supports execution on single- or multi-GPU systems.

Hands-On

The main focus of the Hackathon will be on hands-on sessions with participants’ own codes, supported by Intel and LRZ experts.

The Hackathon will be conducted on the SuperMUC-NG Phase 2 system hosted at LRZ. The selected teams will receive access to the SuperMUC-NG Phase 2 system shortly after the dry-run session to allow sufficient time for adapting and testing their codes on the platform.

Language

English

Lecturers

Experts from Intel and LRZ.

Prices and Eligibility

The Hackathon is open and free of charge for academic participants from Germany.

Application

Please register with your official e-mail address to prove your affiliation. The online dry-run session is open for all registered participants. The final Hackathon teams will be selected following the dry-run session, due to limited on-site capacity.

For this Hackathon, we highly recommend participants apply as a team. Please indicate in the registration form the names of your team mates or a “Team Name” that you have selected so that we can match you appropriately.
If you do not have teammates,  we will match you with other individuals. However, priority will be given to those with an existing team.

Withdrawal Policy

See Withdrawal

Legal Notices

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