The International Conference for High Performance Computing, Networking, Storage, and Analysis

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High Performance Python for Science at Scale


Workshop: High-Performance Python for Science at Scale

Authors: Pete Mendygral (Hewlett Packard Enterprise (HPE)); Sunita Chandrasekaran (University of Delaware); Davin Potts (Appliomics, LLC); Sam Foreman (Argonne National Laboratory (ANL)); and Daniel Margala (Lawrence Berkeley National Laboratory (LBNL))

Abstract: This symposium-style workshop aims to connect researchers, developers, and Python practitioners to share their experiences scaling Python-based applications and workflows on supercomputers. The goal is to provide a platform for topical discussion of best practices, hands-on demonstrations, and community engagement via open-source contributions to new libraries, runtimes, and frameworks. Based on talks and demos that survey and summarize best practices and recent success stories and developments, the workshop provides attendees a forum for expanding their knowledge of tools and techniques as well as opportunities to provide feedback to tool developers.

Website: https://hppss.github.io/SC25/


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