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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20200129T163603Z
LOCATION:502-503-504
DTSTART;TZID=America/Denver:20191117T090000
DTEND;TZID=America/Denver:20191117T090500
UID:submissions.supercomputing.org_SC19_sess101_wksp118@linklings.com
SUMMARY:Deep Learning on Supercomputers
DESCRIPTION:Workshop\n\nDeep Learning on Supercomputers\n\nZhang, Codreanu
 , Foster\n\nThe Deep Learning (DL) on Supercomputers workshop provides a f
 orum for practitioners working on any and all aspects of DL for science an
 d engineering in the High Performance Computing (HPC) context to present t
 heir latest research results and development, deployment, and application 
 experiences. The general theme of this workshop series is the intersection
  of DL and HPC. Its scope encompasses application development in scientifi
 c scenarios using HPC platforms; DL methods applied to numerical simulatio
 n; fundamental algorithms, enhanced procedures, and software development m
 ethods to enable scalable training and inference; hardware changes with im
 pact on future supercomputer design; and machine deployment, performance e
 valuation, and reproducibility practices for DL applications with an empha
 sis on scientific usage. This workshop will be centered around published p
 apers. Submissions will be peer-reviewed, and accepted papers will be publ
 ished as part of the Joint Workshop Proceedings by Springer.\n\nTag: Works
 hop Reg Pass, Deep Learning, Scientific Computing\n\nRegistration Category
 : Workshop Reg Pass, Deep Learning, Scientific Computing
URL:https://sc19.supercomputing.org/presentation/?id=wksp118&sess=sess101
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