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:20210402T160555Z
LOCATION:Track 1
DTSTART;TZID=America/New_York:20201118T100000
DTEND;TZID=America/New_York:20201118T113000
UID:submissions.supercomputing.org_SC20_sess299@linklings.com
SUMMARY:HPC and AI and HPC Iterative Process
DESCRIPTION:Invited Talk\n\nThe Re-invention of Accelerated Computing for 
 AI\n\nKnowles\n\nHigh-performance computing is changing rapidly in re
 sponse to multiple forces. The first is the break-out of intelligence (AI)
  as a workload of great commercial value which can productively harness en
 ormous computation. The second is the end of silicon scaling, or the begin
 ning of the era of po...\n\n---------------------\nCan We Build a Virtuous
  Cycle Between Machine Learning and HPC?\n\nYoung\n\nMachine learning (ML)
  draws on many HPC components; AlexNet was enabled by GPUs, and GPU-based 
 MLPerf submissions connect data replicas using Infiniband. In other ways, 
 it feels like HPC and ML are diverging. Just a handful of the current
  ML startups are considering HPC applications. Google's T...\n\n\nTag: App
 lications, Big Data, Extreme Scale Computing, Machine Learning, Deep Learn
 ing and Artificial Intelligence\n\nRegistration Category: Tech Program Reg
  Pass, Exhibits Reg Pass
END:VEVENT
END:VCALENDAR

