Developing HPC Learning Pathways: Challenges and Recommendations
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3626203.3670575.pdf
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436.08 KB
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Adobe PDF
Checksum (MD5)
16e9137bce367bdc95094283cf84a9ee
Author(s)
Filinger, Weronika
Mullen, Julie
Cohen, Jeremy
Date Issued
July 17, 2024
Publisher
ACM|Practice and Experience in Advanced Research Computing
Citation
Filinger, Weronika, Mullen, Julie and Cohen, Jeremy. 2024. "Developing HPC Learning Pathways: Challenges and Recommendations."
Version
Author's final manuscript
Abstract
Recent growth in computational research, touching all disciplines and all aspects of research and discovery, has resulted in increased demand for High Performance Computing (HPC) skills among members of the research community. Providing adequate training for practitioners coming from a wide range of technical and research background is not straightforward. Concurrently, learners now have a range of informal options for learning, not all of which provide accurate or recommended content. Curated learning paths are one of the strategies that can help address this challenge. Starting with data collected from a set of HPC practitioners we take a closer look at the diverse set of learning goals and concerns within the "Computational Researcher" persona. The range of responses highlights the challenges of building HPC learning paths for computational researchers wishing to develop and improve their HPC skills. To address the challenge we provide a set of recommendations that will enable learners to align their goals with a set of required skills and build a path appropriate to their learning needs.
Description
PEARC ’24, July 21–25, 2024, Providence, RI, USA
MIT Department
Lincoln Laboratory
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1145/3626203.3670575
