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DTSTART:19700308T020000
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DTSTAMP:20260422T000713Z
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:Pete Mendygral (Hewlett Packard Enterprise (HPE)), Sam Foreman
  (Argonne National Laboratory (ANL)), and Daniel Margala (Lawrence Berkele
 y National Laboratory (LBNL))\n\nThis 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 summariz
 e the best practices and recent success stories, panel sessions that discu
 ss details of implementation and live demo sessions for hands-on enthusias
 ts – the workshop will serve as a requirement gathering exercise for the f
 uture of Python in HPC and science.\n\nTag: Applications, Distributed Comp
 uting, Large Scale Systems, Programming Frameworks and System Software, Ru
 ntime Systems\n\nRegistration Category: Workshop Reg Pass\n\nSession Chair
 s: Sam Foreman (Argonne National Laboratory (ANL)); Daniel Margala (Lawren
 ce Berkeley National Laboratory (LBNL)); Pete Mendygral (Hewlett Packard E
 nterprise (HPE)); Laurie A. Stephey (Lawrence Berkeley National Laboratory
  (LBNL), National Energy Research Scientific Computing Center (NERSC)); an
 d Rollin Thomas (Lawrence Berkeley National Laboratory (LBNL), National En
 ergy Research Scientific Computing Center (NERSC))\n\n
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