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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260605T041909Z
UID:b5769cd9-37df-4983-9552-2a96ab79130d
DTSTART;TZID=Canada/Eastern:20150204T120000
DTEND;TZID=Canada/Eastern:20150204T130000
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/sharcnet" target="_blank" rel="noo
 pener">SHARCNET</a></li><li><strong>Registration may be required for the e
 vent</strong>\, please visit the following URL to learn more: <a href="htt
 p://vidyo.computecanada.ca/flex.html?roomdirect.html&key=Pr1GiEI51kFi" tar
 get="_blank" rel="noopener">http://vidyo.computecanada.ca/flex.html?roomdi
 rect.html&amp\;key=Pr1GiEI51kFi</a></li></ul><hr><p>Topic: &quot\;Deep Lea
 rning on SHARCNET: From CPU to GPU cluster&quot\;<br>Speaker: Fei Mao\, SH
 ARCNET<br>Webinar link: SN-Seminars Vidyo room</p><hr><p>In this webinar\,
  a brief introduction of Deep Learning will be given. We will talk about t
 he computational needs for some deep learning algorithms and discuss why t
 hey are more suitable for GPUs. Demos and benchmarks of the most popular d
 eep learning software and libraries (Theano\, Caffe\, cuDNN\, etc) will be
  shown on SHARCNET machines. We will also discuss what we should know abou
 t GPU clusters (hardware and software for CUDA-aware MPI) if we plan to bu
 ild a deep learning model with over 10 billion trainable parameters. </p><
 hr><p>Need help attending a webinar? See the SHARCNET Help Wiki.</p></html
 >
SUMMARY:Webinar " Deep Learning on SHARCNET: From CPU to GPU cluster"
URL;VALUE=URI:http://vidyo.computecanada.ca/flex.html?roomdirect.html&key=P
 r1GiEI51kFi
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