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SUMMARY:EE Distinguished Speakers Seminar: Designing Computing Systems for
  the Internet of Things: Follow Your Brain!
DTSTART:20200918T130000
DTEND:20200918T140000
DTSTAMP:20260408T034404Z
UID:82b35fdd977cabd23c134c2caf8d502b31d9d187e05462ea9760a035
CATEGORIES:Conferences - Seminars
DESCRIPTION:David Atienza is an Associate Professor of Electrical and Comp
 uter Engineering and leads the Embedded Systems Laboratory (ESL) at EPFL\,
  Switzerland. He received his M.Sc. and Ph.D. degrees in Computer Science 
 and Engineering from UCM (Spain) and IMEC (Belgium). His research interest
 s focus on system-level design methodologies for energy-efficient computin
 g systems\, particularly multi-processor system-on-chip architectures (MPS
 oC) for servers and next-generation smart embedded systems for the Interne
 t of Things (IoT) era. In these fields\, he is co-author of more than 300 
 publications\, 12 patents\, and has received several best paper awards in 
 top conferences. He was the Technical Program Chair of DATE 2015 and Gener
 al Chair of DATE 2017. Dr. Atienza has received the DAC Under-40 Innovator
 s Award in 2018\, IEEE TCCPS Mid-Career Award in 2018\, an ERC Consolidato
 r Grant in 2016\, the IEEE CEDA Early Career Award in 2013\, the ACM SIGDA
  Outstanding New Faculty Award in 2012\, and a Faculty Award from Sun Labs
  at Oracle in 2011. He is an IEEE Fellow\, an ACM Distinguished Member\, a
 nd was the President (period 2018-2019) of the IEEE Council on Electronic 
 Design Automation (CEDA).\nThe Internet of Things (IoT) has been hailed as
  the next frontier of innovation in which our everyday objects are connect
 ed in ways that improve the quality of our living environments\, as well a
 s industrial efficiency. As a result\, the IoT concept is poised to reach 
 40 billion connected “things” (or devices) by 2025. However\, major ke
 y challenges remain in achieving this potential due to the inherent resour
 ce-constrained nature of IoT systems\, coupled with the computing power re
 quirements of Big Data computing servers\, which can result in degraded an
 d unreliable behavior computing systems\, or a global energy crisis when I
 oT is fully deployed. In this seminar\, first\, the challenges of ultra-lo
 w power design and communication in IoT devices will be presented. Then\, 
 possible design approaches for wearables and next-generation self-aware ed
 ge AI devices will be analyzed to successfully develop energy-efficient in
 telligent environments for the Big Data Era. As a result\, it will be disc
 ussed how to optimize cloud computing server infrastructures to interact w
 ith edge devices by including a new three-dimensional (3D) computing many-
 core architecture that overcomes the prevailing worst-case power and cooli
 ng provisioning paradigm for centralized computing. This novel 3D server d
 esign includes a new system-level machine learning-based proactive approac
 h for heat and energy management by capitalizing on the latest micro-scale
  two-phase liquid cooling technology. Finally\, inspired by the mammalian 
 central nervous system\, it will be shown how we can integrate on this new
  3D many-core a novel technology of on-chip microfluidic fuel cell network
 s to enable energy-scalability in future generations of servers for the Io
 T Era. \n\nZoom link: https://epfl.zoom.us/j/95573701198 / Id. 955 737
 0 1198
LOCATION:ELA 2 + Zoom https://plan.epfl.ch/?room==ELA%202
STATUS:CONFIRMED
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