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SUMMARY:Do switches dream of machine learning? - Noa Zilberman (Computer L
 ab)
DTSTART:20191107T150000Z
DTEND:20191107T160000Z
UID:TALK130981@talks.cam.ac.uk
CONTACT:Marco Caballero
DESCRIPTION:Abstract:\nMachine learning is currently driving a technologic
 al and societal revolution. While programmable switches have been proven t
 o be useful for in-network computing\, machine learning within programmabl
 e switches had little success so far. Not using network devices for machin
 e learning has a high toll\, given the known power efficiency and performa
 nce benefits of processing within the network. In this talk\, I explore th
 e potential use of commodity programmable switches for in-network classifi
 cation\, by mapping trained machine learning models to match-action pipeli
 nes. I introduce IIsy\, a software and hardware based prototype of our app
 roach\, and discuss the suitability of mapping to different targets. Our s
 olution can be generalized to additional machine learning algorithms\, usi
 ng the methods presented in this work.  \n\nBio:\nhttps://www.cl.cam.ac.uk
 /~nz247/bio.html
LOCATION:Lecture Theatre 2\, Computer Laboratory\, William Gates Building
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