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ORGANIZER;CN="Gupta, Sumeet Kumar":mailto:guptask@purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN="Shukla, N
 ikhil (ns6pf)":mailto:ns6pf@virginia.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecefacult
 y@ecn.purdue.edu:mailto:ecefaculty@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecegradst
 udent-list@ecn.purdue.edu:mailto:ecegradstudent-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecepostdo
 cs-list@ecn.purdue.edu:mailto:ecepostdocs-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Bnc-facul
 ty-all-list@ecn.purdue.edu:mailto:Bnc-faculty-all-list@ecn.purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=BNC-EngSt
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ATTACH:CID:D827A542934F88408722BF36EA6C1EDB@namprd22.prod.outlook.com
DESCRIPTION;LANGUAGE=en-US:Hello\n\nIt is my great pleasure to host Prof. N
 ikhil Shukla (University of Virginia) for his talk in the ECE Seminar Seri
 es. The details are below and attached.  Hope to see you in the seminar.\n
 \nThanks\n\nSumeet\n\nWhen: February 18\, 2021 (Thursday)\, 10:00 AM – 1
 1:00 AM (ET)\n\n\nWhere: https://purdue-edu.zoom.us/j/3164232249\n\n\nTitl
 e:  Solving combinatorial optimization using oscillator-based dynamical sy
 stems\n\n\nAbstract: Modern information processing relies largely on digit
 al computers. However\, a large class of combinatorial optimization proble
 ms\, with extensive practical applications\, are still considered intracta
 ble to solve on a traditional digital platform. Solving such problems typi
 cally entails exponentially increasing computing resources (time\, memory 
 etc.) as the problem sizes increase\, and practical problems become unmana
 geable without the use of enormous\, energy-guzzling computing resources. 
 Consequently\, overcoming this limitation has motivated the quest to find 
 efficient beyond-digital computing fabrics. In this talk\, I will describe
  one such potentially promising paradigm based on analog dynamical systems
  of electronic oscillators.\n\nThe talk will first explore how oscillator 
 systems and their dynamics can be engineered to solve different computatio
 nal models\, relevant to computing various flavors of combinatorial optimi
 zation problems. Along this direction\, I will describe some of our recent
  results on solving problems such as Maximum Cut\, Maximum Independent Set
 \, and Satisfiability using oscillator networks. Subsequently\, I will exp
 lore CMOS and beyond-CMOS hardware fabrics that can facilitate the energy-
  and area-efficient implementation of the oscillator hardware platform. Fi
 nally\, I will address some of the current challenges and performance trad
 e-offs of this paradigm\, and describe possible pathways to overcoming the
 m.\n\n\nSpeaker Bio: Nikhil Shukla is currently an assistant professor at 
 the University of Virginia with a joint appointment in the department of E
 lectrical & Computer Engineering\, and the department of Materials Science
  and Engineering. He received his PhD from the University of Notre Dame in
  2017. Nikhil’s research interests lie in co-designing new devices\, cir
 cuits\, and computational models to make computing more efficient. He has 
 authored/co-authored over 50 journal and conference papers and has receive
 d the best paper award from IEEE TMSCS in 2017. He has also served on the 
 technical program committee for Design Automation Conference (DAC) in 2020
  and 2021.\n\n\n\n
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SUMMARY;LANGUAGE=en-US:Webinar by Prof. Nikhil Shukla\, UVa\, Feb 18\, 10AM
 -11AM
DTSTART;TZID=Eastern Standard Time:20210218T100000
DTEND;TZID=Eastern Standard Time:20210218T110000
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DTSTAMP:20210212T034436Z
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