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SUMMARY:Efficiency-Scalable Servers for Large-Scale Distributed Sensing Da
 ta  
DTSTART:20140512T140000
DTEND:20140512T153000
DTSTAMP:20260407T051130Z
UID:0595914cbf776eb31d8148802453d743ee00903e36dfd1a1b3969f70
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Phillip Stanley-Marbell\nDistributed sensing systems gener
 ate lots of data. Instead of moving this data to centralized servers for p
 rocessing\, we can instead design compute servers for processing the data 
 “in the field”. Doing so however requires balancing the conflicting de
 mands of frugal energy usage\, high-performance\, and\, oftentimes\, permi
 ssible inaccuracy of computation.  In this talk\, I will address these ch
 allenges by looking at them from the ground up\, focusing on two contribut
 ions. First\, I will introduce new results on the energy-efficiency of par
 allelism as a function of architectural and semiconductor-device propertie
 s\, and metrics that should be used in characterizing system behavior unde
 r a variety of invariance constraints. Next\, these analyses will be exten
 ded to the modeling of large distributed compute and sensing systems. The 
 insight gained from the analyses will be used to motivate two generations 
 of embedded multiprocessor research platforms for processing large-scale d
 istributed sensing data.  \nBio: Phillip Stanley-Marbell received his Ph
 .D. from Carnegie Mellon University in 2007. He was a post-doctoral resear
 cher at TU Eindhoven until 2008\, when he joined IBM Research-Zurich as a 
 permanent Research Staff Member. In 2012 he joined Apple to see his ideas 
 deployed in real-world products. Prior to completing his Ph.D.\, he held i
 ntern and full-time positions at Bell-Labs\, Philips\, Lucent's Data Netwo
 rking Group\, and NEC Research Labs.   \nDr. Stanley-Marbell is the aut
 hor of a programming language textbook published by John Wiley & Sons in 2
 003\, and of over thirty scientific publications and seven patents / paten
 t applications. He is the developer of the Sunflower embedded multiprocess
 or instruction-level simulator and the Sunflower sensor hardware platforms
 \, both open source and available online at http://sflr.org. Dr. Stanley-M
 arbell is a member of the ACM\, IEEE\, Sigma Xi\, USENIX\, and the Swiss M
 athematical Society. From 2003--2004\, he served as the copy editor for th
 e ACM Mobile Computing and Communications Review journal. 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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