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Conference Presentation (After Call) | FZJ-2025-01224 |
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2024
Abstract: One of the major challenges in designing HPC related training courses conducted at Supercomputer Centres is to accommodate participants with diverse background and expertise level in HPC. This is in contrast to university lectures which are designed for students with similar knowledge base as they progress through the curriculum. The course structure should impart the knowledge of HPC basics to newcomers while augmenting the knowledge base of more experienced HPC users. A way to achieve this is by introducing a modular course structure.The modularity concept is applied onto the scheduling of lectures, thematically grouping them into topical study units, as well as to hands-on exercises that are crucial in HPC and facilitate the internalisation of the learned content.Furthermore, the modularity concept extends also to the course registration process. It comes with the advantage of allowing selective booking of course parts, which allows for efficient planning of the needed human resources on the instructors’ side. Ultimately, this leads to a setup where more student can be admitted to course parts relevant to them and thus profit from the offered training. This however comes at the drawback of increased organisational effort on the organisers’ side.We showcase the implementation of modular structure in two running courses, namely ‘Introduction to parallel programming with MPI and OpenMP’ conducted on-site at JSC/FZJ and ‘Introduction to Supercomputing at JSC - Theory & Practice’ conducted online, and share our first hand experience conducting those modular training courses.Clear communication of the modular structure and the associated difficulty levels was observed to lead to an increased ability amongst the participants to focus on course parts primarily relevant to them, as well as to higher levels of engagement during those course parts.
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