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X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
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X-WR-CALNAME:Faster Learning on Slow Hardware - Tor Aamodt\, Professor\, UB
 C
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TZID:America/Vancouver
TZUNTIL:20240310T100000Z
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DTSTART:20211107T020000
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RDATE:20231105T020000
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DTSTAMP:20260623T083845Z
CLASS:PUBLIC
CREATED:20220505T185101Z
DESCRIPTION:Please register for this event here. We request that you regist
 er for this event\, whether you plan to attend virtually or in-person. Abs
 tract: Advances in hardware performance have yielded improvements in machi
 ne learning by enabling deep neural networks trained on large datasets in 
 reasonable time. However\, scaling of existing hardware technologies is sl
 owing and may (eventually) reach limits. This talk describes our recent wo
 rk exploring approaches to accelerate the training of deep neural networks
  further in spite of this. Encouraging sparsity during training can reduce
  computation…
DTSTART;TZID=America/Vancouver:20220518T100000
DTEND;TZID=America/Vancouver:20220518T110000
LAST-MODIFIED:20220505T185201Z
LOCATION:UBC Vancouver Campus\, ICCS X836 / Please register to receive Zoom
  link
SUMMARY:Faster Learning on Slow Hardware - Tor Aamodt\, Professor\, UBC
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/faster-learning-slow-hardware-tor-aamodt-pro
 fessor-ubc
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