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DESCRIPTION:Asynchronous circuits have many potential advantages over their
  synchronous counterparts in terms of robustness to parameter variations\,
  wide supply voltage ranges\, and potentially low power by not needing a c
 lock\, yet their promise has not been translated yet into commercial succe
 ss due to several issues related to design methodologies and the need for 
 handshake signals. Stochastic computing is another processing paradigm tha
 t has shown promises of low power and extremely compact circuits but has y
 et to become a commercial success mainly because of the need for a fast cl
 ock to generate the random streams.\nIn this talk we will go over three co
 mplementary circuit techniques: Asynchronous Stochastic Computing (ASC)\, 
 Asynchronous Stream Processing (ASP) and Asynchronous Impulse Radio (AIR).
  These techniques combine the best features of asynchronous circuits with 
 the best features of stochastic computing to enable extremely compact and 
 low power IoT sensing nodes. Together they can fulfill the promise of smar
 t dust\, a concept that was ahead of its time and yet to achieve commercia
 l success.\n\nMircea R. Stan is the Virginia Microelectronics Consortium (
 VMEC) professor at the University of Virginia. He is teaching and doing re
 search in the areas of high-performance low-power VLSI\, Processing in Mem
 ory\, temperature-aware circuits and architecture\, Cyber-Physical Systems
 \, spintronics\, and nanoelectronics. He leads the High-Performance Low-Po
 wer (HPLP) lab and is an associate director of the Center for Automata Pro
 cessing (CAP). He received the 2018 Influential ISCA Paper Award\, the NSF
  CAREER award in 1997 and was a co-author on best paper awards at ASILOMAR
 19\, LASCAS19\, SELSE17\, ISQED08\, GLSVLSI06\, ISCA03 and SHAMAN02 and IE
 EE Micro Top Picks in 2008 and 2003. Prof. Stan is a fellow of the IEEE\, 
 a member of ACM\, and of Eta Kappa Nu\, Phi Kappa Phi and Sigma Xi.\n\nVir
 tual: https://events.vtools.ieee.org/m/297819
LOCATION:Virtual: https://events.vtools.ieee.org/m/297819
ORGANIZER:shahar@ee.technion.ac.il
SEQUENCE:0
SUMMARY:Asynchronous Stream Computing for Low Power IoT – Asynchronous St
 ochastic Computing (ASC)\, Asynchronous Stream Processing (ASP) and Asynch
 ronous Impulse Radio (AIR) for ubiquitous sensing at the Edge - Prof. Mirc
 ea Stan\, University of Virginia\,USA 
URL;VALUE=URI:https://events.vtools.ieee.org/m/297819
X-ALT-DESC:Description: <br /><p>Asynchronous circuits have many potential 
 advantages over their synchronous counterparts in terms of robustness to p
 arameter variations\, wide supply voltage ranges\, and potentially low pow
 er by not needing a clock\, yet their promise has not been translated yet 
 into commercial success due to several issues related to design methodolog
 ies and the need for handshake signals. Stochastic computing is another pr
 ocessing paradigm that has shown promises of low power and extremely compa
 ct circuits but has yet to become a commercial success mainly because of t
 he need for a fast clock to generate the random streams.<br />In this talk
  we will go over three complementary circuit techniques: Asynchronous Stoc
 hastic Computing (ASC)\, Asynchronous Stream Processing (ASP) and Asynchro
 nous Impulse Radio (AIR). These techniques combine the best features of as
 ynchronous circuits with the best features of stochastic computing to enab
 le extremely compact and low power IoT sensing nodes. Together they can fu
 lfill the promise of smart dust\, a concept that was ahead of its time and
  yet to achieve commercial success.</p>\n<p><strong>Mircea R. Stan</strong
 >&nbsp\;is the Virginia Microelectronics Consortium (VMEC) professor at th
 e University of Virginia. He is teaching and doing research in the areas o
 f high-performance low-power VLSI\, Processing in Memory\, temperature-awa
 re circuits and architecture\, Cyber-Physical Systems\, spintronics\, and 
 nanoelectronics. He leads the High-Performance Low-Power (HPLP) lab and is
  an associate director of the Center for Automata Processing (CAP). He rec
 eived the 2018 Influential ISCA Paper Award\, the NSF CAREER award in 1997
  and was a co-author on best paper awards at ASILOMAR19\, LASCAS19\, SELSE
 17\, ISQED08\, GLSVLSI06\, ISCA03 and SHAMAN02 and IEEE Micro Top Picks in
  2008 and 2003. Prof. Stan is a fellow of the IEEE\, a member of ACM\, and
  of Eta Kappa Nu\, Phi Kappa Phi and Sigma Xi.</p>
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