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:20211207T055340Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T080000
DTEND;TZID=America/Chicago:20211114T170000
UID:submissions.supercomputing.org_SC21_sess193_tut145@linklings.com
SUMMARY:Deep Learning at Scale
DESCRIPTION:Tutorial\n\nDeep Learning at Scale\n\nFarrell, Bhimji, Kurth, 
 Romero, Tsaris...\n\nDeep learning is rapidly and fundamentally transformi
 ng the way science and industry use data to solve problems. Deep neural ne
 twork models have been shown to be powerful tools for extracting insights 
 from data across a large number of domains. As these models grow in comple
 xity to solve increasingly challenging problems with larger and larger dat
 asets, the need for scalable methods and software to train them grows acco
 rdingly.\n\nThe Deep Learning at Scale tutorial aims to provide attendees 
 with a working knowledge of deep learning on HPC-class systems, including 
 core concepts, scientific applications, performance optimization tips and 
 techniques for scaling. We will provide training accounts, example code an
 d datasets to allow attendees to experiment hands-on with optimized, scala
 ble distributed training of deep neural network machine learning models.\n
 \nTag: Online Only, Extreme Scale Computing, Machine Learning and Artifici
 al Intelligence\n\nRegistration Category: Tutorial Reg Pass
END:VEVENT
END:VCALENDAR