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DTSTAMP:20181221T160727Z
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DTSTART;TZID=America/Chicago:20181112T105000
DTEND;TZID=America/Chicago:20181112T111000
UID:submissions.supercomputing.org_SC18_sess166_ws_bphpcte107@linklings.co
 m
SUMMARY:Trends in Demand, Growth, and Breadth in Scientific Computing Trai
 ning Delivered by a High-Performance Computing Center
DESCRIPTION:Workshop\nEducation, Scientific Computing, Training, Workshop 
 Reg Pass, Scalable and Sustainable Approaches for HPC Training and Educati
 on\n\nTrends in Demand, Growth, and Breadth in Scientific Computing Traini
 ng Delivered by a High-Performance Computing Center\n\nvan Zon, Ponce, Spe
 nce, Gruner\n\nWe analyze the changes in the training and educational effo
 rts of the SciNet HPC Consortium, a Canadian academic High Performance Com
 puting Center, in the areas of Scientific Computing and High-Performance C
 omputing, over the last six years.  Initially, SciNet offered isolated tra
 ining events on how to use HPC systems and write parallel code, but the tr
 aining program now consists of a broad range of workshops and courses that
  users can take toward certificates in scientific computing, data science,
  or high-performance computing.  Using data on enrollment, attendance, and
  certificate numbers from SciNet's education website, used by almost 1800 
 users so far, we extract trends on the growth, demand, and breadth of SciN
 et's training program. Among the results are a steady overall growth, a sh
 arp and steady increase in the demand for data science training, and a wid
 er participation of 'non-traditional' computing disciplines, which has mot
 ivated an increasingly broad spectrum of training offerings.  Of interest 
 is also that many of the training initiatives have evolved into courses th
 at can be taken as part of the graduate curriculum at the University of To
 ronto.
URL:https://sc18.supercomputing.org/presentation/?id=ws_bphpcte107&sess=se
 ss166
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