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X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
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TZNAME:CDT
DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20181221T160728Z
LOCATION:D222
DTSTART;TZID=America/Chicago:20181112T142000
DTEND;TZID=America/Chicago:20181112T143000
UID:submissions.supercomputing.org_SC18_sess166_ws_bphpcte101@linklings.co
 m
SUMMARY:Deep Learning by Doing: Nvidia Deep Learning Institute
DESCRIPTION:Workshop\nEducation, Scientific Computing, Training, Workshop 
 Reg Pass, Lightning Talks and Demos\n\nDeep Learning by Doing: Nvidia Deep
  Learning Institute\n\nChen, Bungo, Gutmann\n\nOver the past two decades, 
 High-Performance Computing (HPC) communities have developed many models fo
 r delivering education aiming to help students understand and harness the 
 power of parallel and distributed computing. Most of these courses either 
 lack hands-on experience or heavily focus on theoretical characterization 
 behind complex algorithms. To bridge the gap between application and scien
 tific theory, NVIDIA Deep Learning Institute (DLI) has designed an online 
 education and training platform (https://courses.nvidia.com/) that helps s
 tudents, developers, and engineers solve real-world problems in a wide ran
 ge of domains using deep learning and accelerated computing. Accelerated c
 omputing course content starts with the fundamentals of accelerating appli
 cations with CUDA and OpenACC in addition to other courses in training and
  deploying neural networks for deep learning. Advanced and domain-specific
  courses in deep learning are also available. The online platform enables 
 students to use the latest AI frameworks, SDKs, and GPU-accelerated techno
 logies on fully-configured GPU servers in the cloud so the focus is more o
 n learning and less on environment setup. Students are offered project-bas
 ed assessment and certification at the end of each course. To support acad
 emics and university researchers teaching accelerated computing and deep l
 earning, the DLI University Ambassador Program enables educators to teach 
 free DLI courses to university students, faculty, and researchers.
URL:https://sc18.supercomputing.org/presentation/?id=ws_bphpcte101&sess=se
 ss166
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