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DTSTART:19700308T020000
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DTSTAMP:20260522T150153Z
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:Fast and Accurate Deep Neural Networks Training on Distributed
  Systems\n\nYang You (University of California, Berkeley)\n---------------
 ------\nWorkshop Morning Break\n---------------------\nLarge Scale Deep Le
 arning in PFN: from 15-Min Imagenet  to PFDet\n\nHirochika Asai (Preferred
  Networks)\n---------------------\nEnabling Scalable and Efficient Deep Le
 arning on Supercomputers\n\nZhao Zhang (Texas Advanced Computing Center)\n
 ---------------------\nHigh-Performance AI: A View from Systems and Framew
 orks\n\nJudy Qiu (Indiana University)\n---------------------\nCANDLE Frame
 work for Large Scale Deep Learning\n\nTom S. Brettin (Argonne National Lab
 oratory)\n---------------------\nArtificial Intelligence Enabled Multiscal
 e Molecular Simulations\n\nArvind Ramanathan (Oak Ridge National Laborator
 y)\n---------------------\nIntroduction - Deep Learning on Supercomputers 
 - Welcome\n\nThe 1st Deep Learning (DL) on Supercomputers workshop provide
 s a forum for practitioners working on any and all aspects of DL in the su
 percomputing context to present their latest research results and developm
 ent, deployment, and application experiences. The workshop’s theme is the 
 intersection of D...\n\n\nZhao Zhang (Texas Advanced Computing Center) and
  Ian T. Foster (University of Chicago)\n---------------------\nKeynote: Le
 arning-Based Predictive Models: a New Approach to Integrating Large-Scale 
 Simulations and Experiments\n\nBrian C. Van Essen (Lawrence Livermore Nati
 onal Laboratory)\n---------------------\nScalable and Distributed DNN Trai
 ning on Modern HPC Systems\n\nDhabaleswar K. Panda (Ohio State University)
 \n---------------------\nDeep Learning at NERSC: Usability, Capability, an
 d Everything in Between\n\nSteve Farrell (Lawrence Berkeley National Labor
 atory)\n\nTag: Applications, Deep Learning, Machine Learning\n\nRegistrati
 on Category: Workshop Reg Pass
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