Event Calendar

 
Workshop

Introduction to High Performance Computing

Friday, 19 June 2026, 9:30-16:30
KIT, Campus South

This two-day block course takes place on Friday, June 12 and 19, 2026 at Campus South.

 

SCC operates the high-performance computer systems Hochleistungsrechner Karlsruhe (HoreKa) and bwUniCluster 2.0. This introductory course will give you a theoretical overview of the following topics (block #1-2) and includes a practical workshop and a visit at the HoreKa facility (block #3).

Block #1:
- Supercomputer hardware design and architecture
- CPUs, Accelerators and High-Performance Interconnects
- Infrastructure, (Power) Efficiency and cooling concepts
- Operating models and user services

Block #2:
- Software stacks and job scheduling
- Programming models
- IT Security

Block #3 (date will be determined with participants):
- Practical workshop
- Visit at the HoreKa facility

 

Registration

The course "Intro to High Performance Computing" is organized jointly by graduate schools KCDS and ENZo and it is open to all interested doctoral researchers at KIT.

Please register via ILIAS until May 20, 2026.

Speaker
Dr.-Ing. Samuel Braun, Dr. René Caspart

KIT
Scientific Computing Centre
Organizer
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds does-not-exist.kit edu
https://www.kcds.kit.edu
Online registration
Register via ILIAS
Online Registration

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Timeline

Find an overview of past events in our timeline.

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About KCDS

Concept of the graduate school KCDS
KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in the field of model-driven and data-driven computational science.
In this unique program, doctoral researchers will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied SEE discipline (science, economics and engineering).
Addressing global challenges, the school provides a wide variety of topics, from meteorological ensemble forecasting to machine learning in elementary particle physics.
At KCDS, doctoral researchers have one supervisor from the mathematical sciences and one from the applied discipline. They are part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.
Thinking simulations and data together, we are ready to conquer the data-driven challenges of tomorrow!

Coordination Office