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DTSTAMP:20211207T055339Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211114T090500
DTEND;TZID=America/Chicago:20211114T100000
UID:submissions.supercomputing.org_SC21_sess428_misc248@linklings.com
SUMMARY:FTXS 2021 : Featured Speaker - Dr. Catherine Schuman (Fault Tolera
 nce and Resilience in Neuromorphic Systems)
DESCRIPTION:Workshop\n\nFTXS 2021 : Featured Speaker - Dr. Catherine Schum
 an (Fault Tolerance and Resilience in Neuromorphic Systems)\n\nSchuman\n\n
 Brain-inspired neuromorphic computing systems are promising for the future
  of computing beyond the looming end of Moore's law.  Though robustness an
 d resilience are commonly quoted as features of neuromorphic computing sys
 tems, the expected performance of neuromorphic systems in the face of hard
 ware failures is not clear. In this presentation, a brief introduction to 
 neuromorphic hardware, software and algorithms will be given.  The effect 
 of failures on the performance of four different training algorithms for s
 piking neural networks on neuromorphic systems will be shown: two back-pro
 pagation-based training approaches (Whetstone and SLAYER), a liquid state 
 machine or reservoir computing approach, and an evolutionary optimization-
 based approach (EONS). It will be shown that these four different approach
 es have very different resilience characteristics with respect to simulate
 d hardware failures. Finally, an approach for training spiking neural netw
 orks for resilience properties on neuromorphic systems will be given, and 
 it will be shown how this approach can improve the resiliency of neuromorp
 hic systems to both minor and major hardware failures.\n\nTag: Online Only
 , Extreme Scale Computing, Reliability and Resiliency\n\nRegistration Cate
 gory: Workshop Reg Pass
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