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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160907Z
LOCATION:D167
DTSTART;TZID=America/Chicago:20181116T083000
DTEND;TZID=America/Chicago:20181116T120000
UID:submissions.supercomputing.org_SC18_sess476@linklings.com
SUMMARY:Deep Learning on Supercomputers
DESCRIPTION:Workshop\nApplications, Deep Learning, Machine Learning, Works
 hop Reg Pass\n\nIntroduction - Deep Learning on Supercomputers - Welcome\n
 \nZhang, Foster\n\nThe 1st Deep Learning (DL) on Supercomputers workshop p
 rovides a forum for practitioners working on any and all aspects of DL in 
 the supercomputing context to present their latest research results and de
 velopment, deployment, and application experiences. The workshop’s theme i
 s the intersection of D...\n\n---------------------\nScalable and Distribu
 ted DNN Training on Modern HPC Systems\n\nPanda\n\n---------------------\n
 Workshop Morning Break\n\n\n\n---------------------\nFast and Accurate Dee
 p Neural Networks Training on Distributed Systems\n\nYou\n\n--------------
 -------\nDeep Learning at NERSC: Usability, Capability, and Everything in 
 Between\n\nFarrell\n\n---------------------\nArtificial Intelligence Enabl
 ed Multiscale Molecular Simulations\n\nRamanathan\n\n---------------------
 \nLarge Scale Deep Learning in PFN: from 15-Min Imagenet  to PFDet\n\nAsai
 \n\n---------------------\nKeynote: Learning-Based Predictive Models: a Ne
 w Approach to Integrating Large-Scale Simulations and Experiments\n\nVan E
 ssen\n\n---------------------\nCANDLE Framework for Large Scale Deep Learn
 ing\n\nBrettin\n\n---------------------\nHigh-Performance AI: A View from 
 Systems and Frameworks\n\nQiu\n\n---------------------\nEnabling Scalable 
 and Efficient Deep Learning on Supercomputers\n\nZhang\n
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