

The goal of the interdisciplinary seminar series Computation & Data at HSU is to bring together researchers and foster exchange on the development of algorithms, methods and software. The seminar series is typically scheduled for the last Wednesday every month, 16:00-17:00, with 1 presentation per hybrid session (digital and at HSU). Immediately after the seminar series, the HPC Café take place.
Feel free to subscribe the seminar newsletter by sending an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data”.
The HPC Skill Tree is a structured approach to classifying and standardising training material and courses across different HPC centres and even different countries. It is being developed and maintained by the HPC Certification forum, which is an open-source community managed by a board of members. Its origins date back to 2018, when Prof. Julian Kunkel set up the forum and the Skill Tree together with many colleagues from different institutions.
The initial version grew fast and soon contained skills ranging from skills about using an HPC Cluster, over administrating a cluster, to software development of parallel programs and tuning them.
The primary content of the skills are learning objectives that are written using Blooms Taxonomy as a standard. The idea is that each skill lists many learning objectives containing knowledge and abilities a learner should learn or able to perform once a skill is acquired. This is a practical approach, meaning skill are drafted from used training material and courses, insuring that the skills are actually taught (top-down approach). Similarly, initial drafts of skills are done by imagining courses and skill users should have and are refined once a courses or material is found or created (bottom-up approach).
Currently, the Skill Tree lists between 250 and 300 Skills organized in nodes and leafs, and it is still growing, especially since two EuroHPC JU funded projects (HPC SPECTRA and EViTA) are actively using, promoting and growing the Skill Tree.