SC23 Proceedings

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

Workshops Archive

High Performance Python for Science at Scale


Workshop: High Performance Python for Science at Scale

Authors: Pete Mendygral (Hewlett Packard Enterprise (HPE)), Sam Foreman (Argonne National Laboratory (ANL)), and Daniel Margala (Lawrence Berkeley National Laboratory (LBNL))


Abstract: This workshop aims to connect researchers, developers, and Python practitioners to share their experiences scaling Python applications and codes 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 keynote talks that survey and summarize the best practices and recent success stories, panel sessions that discuss details of implementation and live demo sessions for hands-on enthusiasts – the workshop will serve as a requirement gathering exercise for the future of Python in HPC and science.


Website: https://hppss.github.io/SC23/






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