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SUMMARY:Energy-Quality Scalable Adaptive VLSI Circuits and Systems  – Th
 e Way towards the Next 10X Energy Reduction - Prof. Massimo Alioto\, Natio
 nal University of Singapore
DTSTART:20170509T130000Z
DTEND:20170509T140000Z
UID:TALK72551@talks.cam.ac.uk
CONTACT:Prof Simon Moore
DESCRIPTION:In this talk\, the concept of energy-quality (EQ) scalable sys
 tems is introduced and explored\, as novel design dimension to scale down 
 energy in integrated systems for the Internet of Things (IoT). EQ-scalable
  systems explicitly trade off energy and quality at different levels of ab
 straction (“vertically”)\, and sub-systems (“horizontally”)\, crea
 ting new opportunities to improve energy efficiency for a given task and e
 xpected “quality”.\nThe concept of quality slack\, a taxonomy of techn
 iques to trade off energy and quality\, and a general EQ-scalable architec
 ture are introduced. The generality of the EQ-scaling concept is shown thr
 ough several examples\, ranging from logic to analog circuits\, to memorie
 s and Analog-Digital Converters. Challenges\, opportunities and expected e
 nergy gains are discussed to gain an understanding of the potential of the
  EQ-scalable integrated circuits and systems. Ultimately\, EQ scalable sys
 tems are expected to substantially improve the energy efficiency of system
 s for IoT\, compensating the limited energy gains that will be offered by 
 technology and voltage scaling in the decade ahead.\n\nBio: Massimo Alioto
  is Associate Professor at the Department of Electrical and Computer Engin
 eering\, National University of Singapore\, where he leads the Green IC gr
 oup and the Integrated Circuits and Embedded Systems area (60+ people). He
  has also held positions at the University of Siena\, Intel Labs – CRL (
 2013)\, University of Michigan - Ann Arbor (2011-2012)\, University of Cal
 ifornia – Berkeley (2009-2011) and EPFL – Lausanne (2007).
LOCATION:SS03\, Computer Laboratory\, William Gates Building
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