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DTSTART:19700308T020000
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DTSTAMP:20260522T150107Z
LOCATION:C143/149
DTSTART;TZID=America/Chicago:20181111T133000
DTEND;TZID=America/Chicago:20181111T170000
UID:submissions.supercomputing.org_SC18_sess262@linklings.com
SUMMARY:Tools and Best Practices for Distributed Deep Learning with Superc
 omputers
DESCRIPTION:Tools and Best Practices for Distributed Deep Learning with Su
 percomputers\n\nThis tutorial is a practical guide on how to run distribut
 ed deep learning over distributed compute nodes effectively. Deep Learning
  (DL) has emerged as an effective analysis method and has been adapted qui
 ckly across many scientific domains in recent years.  Domain scientists ar
 e embracing DL as bo...\n\n\nWeijia Xu (Texas Advanced Computing Center) a
 nd Zhao Zhang and David Walling (University of Texas)\n\nTag: Deep Learnin
 g, Machine Learning\n\nRegistration Category: Tutorial Reg Pass
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