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:20181221T160731Z
LOCATION:D173
DTSTART;TZID=America/Chicago:20181114T133000
DTEND;TZID=America/Chicago:20181114T140000
UID:submissions.supercomputing.org_SC18_sess276_exforum135@linklings.com
SUMMARY:Managing the Convergence of HPC and AI
DESCRIPTION:Exhibitor Forum\nMachine Learning\n\nManaging the Convergence 
 of HPC and AI\n\nFalkanger\n\nHPC environments are the most significant so
 urce of processing capacity in many organizations, and more users want to 
 leverage the power of the “SuperComputer" for their workloads to get perfo
 rmance beyond the single box.  These "new customers" for your HPC cluster 
 may have little knowledge on how to access, configure and deploy workloads
  where typical open-source cluster management solutions are used, driving 
 a significant amount of handholding for administrators.  In particular, us
 ers wanting to experiment with or deploy AI training on the cluster may si
 mply have data and a desire to train, without the technical expertise to c
 onfigure scripts, resources, frameworks, libraries, etc. to run. Bringing 
 these new users into the HPC environment is a significant opportunity to g
 row and expand the value of your infrastructure – but only if it is easy t
 o use and easy to manage, and consistent for both HPC and AI workloads.
URL:https://sc18.supercomputing.org/presentation/?id=exforum135&sess=sess2
 76
END:VEVENT
END:VCALENDAR

