BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250626T234540Z
LOCATION:B211
DTSTART;TZID=America/New_York:20241120T171500
DTEND;TZID=America/New_York:20241120T184500
UID:submissions.supercomputing.org_SC24_sess628_bof133@linklings.com
SUMMARY:Democratizing AI Accelerators for HPC Applications: Challenges, Su
 ccess, and Support
DESCRIPTION:Murali Emani and Siddhisanket Raskar (Argonne National Laborat
 ory (ANL)), Jophin John and Juan J. Durillo (Leibniz Supercomputing Centre
  (LRZ)), Tal Ben-Nun and Brian Van Essen (Lawrence Livermore National Labo
 ratory (LLNL)), Hatem Ltaief (King Abdullah University of Science and Tech
 nology (KAUST)), and Nick Brown (Edinburgh Parallel Computing Centre (EPCC
 ))\n\nA recent surge in novel AI accelerator hardware (e.g. from Cerebras,
  Groq, SambaNova, Graphcore, Intel, and Tenstorrent) has sparked intense i
 nterest in running HPC applications and driven algorithmic research on the
 se architectures. However, the maturity levels of associated tooling and s
 oftware stacks vary significantly, with gaps in documentation and support.
  This BoF aims to explore trends in AI accelerators for HPC, ideal program
 ming models, software stack support, code portability, training resources,
  and common challenges. We hope to foster a community of users interested 
 or experienced in using AI accelerators for HPC applications.\n\nRegistrat
 ion Category: Tech Program Reg Pass, Exhibits Reg Pass\n\n
END:VEVENT
END:VCALENDAR
