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TZID:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20230124T171520Z
LOCATION:C146
DTSTART;TZID=America/Chicago:20221113T153000
DTEND;TZID=America/Chicago:20221113T161500
UID:submissions.supercomputing.org_SC22_sess424_misc122@linklings.com
SUMMARY:Invited Talk: Scalable Deep Learning Algorithms for Scientific App
 lications on Leadership Class Computing Systems
DESCRIPTION:Workshop\n\nInvited Talk: Scalable Deep Learning Algorithms fo
 r Scientific Applications on Leadership Class Computing Systems\n\nVan Ess
 en\n\nIn this talk, we will discuss the challenges and opportunities for i
 mplementing deep learning algorithms at scale for scientific applications 
 on leadership class HPC systems.  Using examples drawn from multiple appli
 cation areas we will see how challenges created by algorithmic complexity 
 as well as multiple aspects of large data lend themselves to parallelizati
 on schemes.  Additionally, we will explore what are the implications and d
 emands for existing and upcoming AI accelerators.\n\nSession Format: Recor
 ded\n\nTag: Algorithms, Exascale Computing, Extreme Scale Computing, Heter
 ogeneous Systems, Post-Moore Computing, Quantum Computing\n\nRegistration 
 Category: Workshop Reg Pass
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