Various centres within the Helmholtz Association offer training in High-Performance Computing (HPC), ranging from introductory courses to specialised topics. This page provides an overview.
High-Performance Computing (HPC) refers to the use of highly powerful computers and parallel computing methods to solve computationally intensive tasks. Typical applications include large-scale simulations, data-intensive analyses, and AI workloads that exceed the capabilities of individual workstations. HPC systems usually consist of many compute nodes connected through high-speed networks and are accessed via batch systems or schedulers.
Find HPC courses
The efficient use of HPC systems requires specific skills, for example in parallel programming, workflows, and job scheduling. The HIDA Course Catalog makes relevant training offers from across the Helmholtz Association centrally discoverable.
Organisation, delivery, and responsibility for the content lie with the respective providers.
Use the filtered view to quickly find HPC training courses (tags: High-Performance Computing, HPC). The list is continuously updated.
Note: The list is continuously updated.
Requirements and getting started
Many HPC courses require basic programming knowledge, for example in Python or C/C++. For beginners, introductory formats are often available that first cover basic HPC concepts, working on Linux systems, and typical workflows on clusters. The specific prerequisites and recommended prior knowledge are described in the respective course details.
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Do you have questions about the course offerings? Feel free to contact us anytime at hida-courses@helmholtz.de!
