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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181113T083000
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess322_post206@linklings.com
SUMMARY:Interactive HPC Deep Learning with Jupyter Notebooks
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nInteractiv
 e HPC Deep Learning with Jupyter Notebooks\n\nBhimji, Farrell, Evans, Hend
 erson, Cholia...\n\nDeep learning researchers are increasingly using Jupyt
 er notebooks to implement interactive, reproducible workflows. Such soluti
 ons are typically deployed on small-scale (e.g. single server) computing s
 ystems. However, as the sizes and complexities of datasets and associated 
 neural network models increase, distributed systems become important for t
 raining and evaluating models in a feasible amount of time. In this poster
 , we describe our work on Jupyter notebook solutions for distributed train
 ing and hyper-parameter optimization of deep neural networks on high-perfo
 rmance computing systems.
URL:https://sc18.supercomputing.org/presentation/?id=post206&sess=sess322
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