BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260522T150121Z
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:Xi Chen (University of Kentucky), Joe Bungo (Nvidia Corporatio
 n), and Gregory S. Gutmann (Tokyo Institute of Technology)\n\nOver the pas
 t two decades, High-Performance Computing (HPC) communities have developed
  many models for delivering education aiming to help students understand a
 nd harness the power of parallel and distributed computing. Most of these 
 courses either lack hands-on experience or heavily focus on theoretical ch
 aracterization behind complex algorithms. To bridge the gap between applic
 ation and scientific theory, NVIDIA Deep Learning Institute (DLI) has desi
 gned an online education and training platform (https://courses.nvidia.com
 /) that helps students, developers, and engineers solve real-world problem
 s in a wide range of domains using deep learning and accelerated computing
 . Accelerated computing course content starts with the fundamentals of acc
 elerating applications 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 pl
 atform enables students to use the latest AI frameworks, SDKs, and GPU-acc
 elerated technologies on fully-configured GPU servers in the cloud so the 
 focus is more on learning and less on environment setup. Students are offe
 red project-based assessment and certification at the end of each course. 
 To support academics and university researchers teaching accelerated compu
 ting and deep learning, the DLI University Ambassador Program enables educ
 ators to teach free DLI courses to university students, faculty, and resea
 rchers.\n\nTag: Education, Scientific Computing, Training, Scalable and Su
 stainable Approaches for HPC Training and Education, Emerging Tools enabli
 ng HPC Training and Education, Lightning Talks and Demos\n\nRegistration C
 ategory: Workshop Reg Pass\n\nSession Chairs: Evguenia Alexandrova (Hartre
 e Centre, STFC; Science and Technology Facilities Council (STFC)); Scott L
 athrop (University of Illinois Urbana-Champaign); Susan Mehringer (Cornell
  University); Julie Mullen (Massachusetts Institute of Technology (MIT), L
 incoln Laboratory); Nitin Sukhija (Slippery Rock University of Pennsylvani
 a); and Aaron Weeden (Shodor Education Foundation)\n\n
END:VEVENT
END:VCALENDAR