BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000559Z
LOCATION:207
DTSTART;TZID=America/Denver:20231113T083000
DTEND;TZID=America/Denver:20231113T170000
UID:submissions.supercomputing.org_SC23_sess239@linklings.com
SUMMARY:Deep Learning at Scale
DESCRIPTION:Deep Learning at Scale\n\nDeep learning is rapidly and fundame
 ntally transforming the way science and industry use data to solve problem
 s. Deep neural network models have been shown to be powerful tools for ext
 racting insights from data across a large number of domains, from large la
 nguage models (LLMs) to protein folding. A...\n\n\nPeter Harrington, Steve
 n Farrell, and Shashank Subramanian (Lawrence Berkeley National Laboratory
  (LBNL)); Thorsten Kurth and Josh Romero (NVIDIA Corporation); Wahid Bhimj
 i (Lawrence Berkeley National Laboratory (LBNL)); and Andrew Naylor (Lawre
 nce Berkeley National Laboratory)\n\nTag: Artificial Intelligence/Machine 
 Learning, Performance Optimization\n\nRegistration Category: Tutorial Reg 
 Pass
END:VEVENT
END:VCALENDAR