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BEGIN:VEVENT
DTSTAMP:20181221T160911Z
LOCATION:C155/156
DTSTART;TZID=America/Chicago:20181114T171500
DTEND;TZID=America/Chicago:20181114T184500
UID:submissions.supercomputing.org_SC18_sess451_bof218@linklings.com
SUMMARY:Exascale Machine Learning
DESCRIPTION:Birds of a Feather\nMachine Learning, Tech Program Reg Pass, E
 xhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\nExascale Machin
 e Learning\n\nMaruyama, Van Essen, Matsuoka\n\nHPC has been making a profo
 und impact in recent success of data-driven machine learning. Training dee
 p learning models such as convolutional and recurrent neural networks with
  big data is an extremely compute intensive task that routinely benefits f
 rom parallel and distributed processing. Upcoming exascale machines are ex
 pected to further accelerate the advance of data-oriented machine learning
 . This BoF starts with short talks by experts from academia, national labs
  and industry about the current state of the art in HPC-based machine lear
 ning, and concludes with a panel session that provides a forum to discuss 
 opportunities and challenges with future exascale systems.
URL:https://sc18.supercomputing.org/presentation/?id=bof218&sess=sess451
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