This two-day online Orientation Session is the kick-off event of the LRZ AI Training Series, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI Training Series are open to all interested academic participants from Germany.

Contents:

By joining this session, participants will learn about the landscape of LRZ systems and services relevant to data analytics & AI users. Further, they will be provided with the initial training of the most essential skills needed to work with these systems (i.e. fundamentals of GNU/Linux, SSH). Participation in this Orientation Session should be considered a mandatory requirement for anyone interested in other sessions of the series.

It has been about 350 years that separate the original 1673 Leibniz mechanical calculator from today’s Leibniz Supercomputing Centre’s (LRZ) facilities located on the Campus Garching. And yet, the spirit has not changed. To paraphrase the German mathematician: It is beneath the dignity of excellent people to waste their time in calculation when the work could just as accurately be done with the aid of a machine.

Participants joining this course will be provided with a comprehensive walkthrough and usage guides to contemporary types of such computing machines which can be found at LRZ. In a general overview, historical and current developments and trends in the field of scientific computing and cluster systems will be presented. This will, amongst others, address the following questions: How are modern cluster systems designed and how do they work? How did we come to High Performance Computing, High Performance Data Analytics and High Performance AI? What makes a system adequate to a specific workload? How are these systems operated and how are they made available to their users?

In addition, an introduction to GNU/Linux and the Unix Shell as well as the use of remote systems via Secure Shell (SSH) will be provided. GNU/Linux is a family of open source operating systems, powering all different kinds of computing hardware (from mobile devices to high performance computing clusters… and pretty much everything in-between). The typical command line interface is a Unix-like shell. It serves as interactive command environment and scripting language, allowing users to control the system, and to automate tasks of varying complexity. SSH is a cryptographic network protocol, which is typically used to login and execute commands on remote (GNU/Linux) systems.

The introduction to GNU/Linux opens with a short historical overview and some common concepts & terminology will be explained. Then the focus is directed toward working with the Unix Shell. First, it will be used to navigate the file system and directories of a system, then the mechanisms of file manipulation and ownership will be explored. Additional commands and concepts will be explained, and characteristics as well as methods of manipulating the shell environment will be discussed.

Participants will be guided to install and configure a SSH client on their personal systems. Different applications for remote access and file transfer will be introduced. A conceptual and practical introduction to SSH keys will be given, followed by a discussion of more advanced features like SSH tunneling and custom configuration options.

These skills will then be combined to further explore typical interaction methods and usage patterns of multiuser cluster systems, including various possibilities of setting up user environments (e.g. environment variables and modules, user space package managers, containers) as well as tools for resource allocation (i.e. Slurm Workload Manager) and efficient parallelization (MPI, OpenMP, …). Finally, an overview of different compute clusters as well as their storage systems operated by LRZ will be provided. The requirements for gaining access to these systems will be covered as well.

Participants will obtain a good understanding of the characteristics of multiuser cluster systems in general and will practise basic methods of typical interaction. They will acquire essential knowledge and skills necessary to successfully interact with the command line interface of a GNU/Linux system. They will learn to use SSH in order to connect to and interact with different remote systems. They will familiarize themselves with the landscape of cluster systems available at LRZ and this will allow them to choose the right system for their own compute projects.

The material will be presented as a combination of lectures, demos and hands-on sessions, with a focus on the latter. There will be breaks during the session.

This course is part of the LRZ AI Training Series, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI Training Series are open to all interested academic participants from Germany.

The course is organised as an on-site even at LRZ in Garching near Munich. There will be no possibility to join online remotely via video conference. Participants are expected to bring their own laptops. There are no PCs installed in the course room!

Contents:

Since the introduction of docker back in 2013, container technology has become the industry standard for software packaging, distribution, and deployment.
Creating a container consists in bundling an application, its dependencies and runtime in a single unit that can later run independently of the underlying infrastructure. Unlike virtual machines, containers are lightweight and yield higher performances while providing greater versatility and interoperability. As containers accommodate an easy, safe, reliable, and scalable way to run applications and pipelines, they are an attractive candidate for high performance computing and artificial intelligence workloads.
With this module, we will showcase the most enticing features and niceties offered by containers. Not only will we explore their history and implementations, but we will also dive into actual and cutting edge uses with a particular emphasis on artificial intelligence tasks, reproducible biomedical pipelines, and automated workflows.
Participants will roll up their sleeves and get their hands on the compute cloud of LRZ to set containers in action. By the end of the course, participants will be able to transfer their experience and knowledge to their specific use-cases and requirements.

Application Deadline: 21.10.2025
Participation is by application only! The final participants will be selected and informed after the registration deadline has passed. Priority will be given to users of the LRZ AI systems, who are kindly requested to provide their Project ID associated with the LRZ AI Systems in the registration form.

This course is part of the LRZ AI Training Series, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ.

The course is organised as an on-site even at LRZ in Garching near Munich. There will be no possibility to join online remotely via video conference. Participants are expected to bring their own laptops. There are no PCs installed in the course room!

Contents:

The aim of this course is to give an overview of the LRZ AI Systems, and provide participants with the knowledge and skills necessary to efficiently utilise them. The course consists of mini lectures, demos and hands on sessions (breaks included).

By participating in this lecture, you will be able to:

• Understand the resources that the LRZ AI System provides
• How to allocate resources on the LRZ AI System and provision them with the needed software stack
• How to interactively work with the LRZ AI Systems via the terminal (also Jupyter Notebooks for single GPU workload)

Upon completion, you will be able to effectively use the LRZ AI Systems to run Deep Learning workflows.