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DTSTART:19700308T020000
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DTSTAMP:20240116T191700Z
LOCATION:501-502
DTSTART;TZID=America/Denver:20231112T090000
DTEND;TZID=America/Denver:20231112T090100
UID:submissions.supercomputing.org_SC23_sess416_wksp155@linklings.com
SUMMARY:High Performance Python for Science at Scale
DESCRIPTION:Workshop\n\nPete Mendygral (Hewlett Packard Enterprise (HPE)),
  Sam Foreman (Argonne National Laboratory (ANL)), and Daniel Margala (Lawr
 ence Berkeley National Laboratory (LBNL))\n\nThis workshop aims to connect
  researchers, developers, and Python practitioners to share their experien
 ces scaling Python applications and codes on supercomputers. The goal is t
 o provide a platform for topical discussion of best practices, hands-on de
 monstrations, and community engagement via open-source contributions to ne
 w libraries, runtimes, and frameworks. Based on keynote talks that survey 
 and summarize the best practices and recent success stories, panel session
 s that discuss details of implementation and live demo sessions for hands-
 on enthusiasts – the workshop will serve as a requirement gathering exerci
 se for the future of Python in HPC and science.\n\nTag: Large Scale System
 s, Programming Frameworks and System Software\n\nRegistration Category: Wo
 rkshop Reg Pass\n\nSession Chairs: Sam Foreman (Argonne National Laborator
 y (ANL)); Daniel Margala (Lawrence Berkeley National Laboratory (LBNL)); P
 ete Mendygral (Hewlett Packard Enterprise (HPE)); Laurie A. Stephey (Lawre
 nce Berkeley National Laboratory (LBNL), National Energy Research Scientif
 ic Computing Center (NERSC)); and Rollin Thomas (Lawrence Berkeley Nationa
 l Laboratory (LBNL), National Energy Research Scientific Computing Center 
 (NERSC))
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