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DTSTART:19700308T020000
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DTSTAMP:20181221T160907Z
LOCATION:D227
DTSTART;TZID=America/Chicago:20181113T171500
DTEND;TZID=America/Chicago:20181113T184500
UID:submissions.supercomputing.org_SC18_sess430_bof174@linklings.com
SUMMARY:Designing and Building Next-Generation Computer Systems for Deep L
 earning
DESCRIPTION:Birds of a Feather\nMachine Learning, Tech Program Reg Pass, E
 xhibits Reg Pass, Exhibits - Exhibit Hall Only Reg Pass\n\nDesigning and B
 uilding Next-Generation Computer Systems for Deep Learning\n\nKindratenko,
  Wang\n\nDeep Learning (DL) heavily relies on fast hardware and parallel a
 lgorithms to train complex neural networks.  This BoF will bring together 
 researchers and developers working on the design of next-generation comput
 er systems for DL and parallel DL algorithms that can exploit the potentia
 l of these new systems. Research teams working on major deep learning syst
 ems deployed in the field are invited to discuss latest hardware and softw
 are trends and to exchange views on the role Artificial Intelligence (AI) 
 in general and DL in particular will play in the near future for big data 
 analytics and HPC applications.
URL:https://sc18.supercomputing.org/presentation/?id=bof174&sess=sess430
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