CAS: Ultra-Low-Power Computing Hardware Design in the Era of AI and ML, Mingoo Seok

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Join us for a lecture sponsored by the Circuits and Systems Society.  Mingoo Seok of Columbia University will discuss Ultra-Low-Power Computing Hardware Design in the Era of AI and ML

Come at 6pm for food and networking.  The lecture will start at 7pm.  

To join by webex:
https://umd.webex.com/umd/j.php?MTID=mc7196fa016a4a9fd9925634ac953d6dc
Meeting number: 739 611 910     Password: IEEECAS
Join by phone: +1-415-655-0002 US Toll    Access code: 739 611 910

The lecture is in Room 2460 of the A.V. Williams Building at the University of Maryland. Unrestricted parking is available after 4pm in Lot H nearby  (see map).  There is also handicapped parking available in Lot GG2 in front of the building.


  Date and Time

  Location

  Hosts

  Registration


  • Date: 09 May 2019
  • Time: 06:00 PM to 08:30 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
  • 8223 Paint Branch Drive
  • College Park, Maryland
  • United States 20742
  • Building: A. V. Williams Building (Building 115)
  • Room Number: 2460
  • Click here for Map
  • Contact Event Host

  • 301-717-5323

  • Co-sponsored by IEEE Aerospace and Electronic Systems Society - Baltimore Chapter
  • Starts 24 April 2019 06:30 AM
  • Ends 09 May 2019 07:00 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • No Admission Charge

  Speakers

Prof. Mingoo Seok Prof. Mingoo Seok of Columbia University

Topic:

Ultra-Low-Power Computing Hardware Design in the Era of AI and ML

Computing technology has been the backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in artificial intelligence and deep learning. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Across the computing systems from data centers, to mobile, and to extreme implants will face a major challenge in achieving desirable speed, energy-efficiency, and accuracy for truly enabling intelligent systems. In this seminar, we will outline the important bottlenecks to designing ultra-low-power computing hardware for AI and ML workloads, notably the end of Moore’s Law and the memory wall problem. We will then discuss several approaches that our group has been working on, including in-memory computing, hybrid analog-digital computing, and digital multi-core accelerator, and nanowatt DVS hardware. We will introduce several test-chip prototypes and their measurement results.

Biography:

Mingoo Seok is an associate professor of Electrical Engineering at Columbia University. He received the BS from Seoul National University, South Korea, in 2005, and the MS and Ph.D. degree from the University of Michigan in 2007 and 2011, respectively, all in electrical engineering. His research interests are various aspects of VLSI circuits and architecture, including ultra-low-power integrated systems, cognitive and machine-learning computing, adaptive technique for the process, voltage, temperature variations, and transistor wear-out, event-driven controls, and hybrid continuous and discrete computing. He won the 2015 NSF CAREER award and 2019 Qualcomm Faculty Award. He is the technical program committee members for multiple conferences including IEEE International Solid-State Circuits Conference (ISSCC). He has been as an associate editor for IEEE Transactions on Circuits and Systems Part I (TCAS-I) (2014-2016), IEEE Transactions on VLSI Systems (TVLSI) (2015-present) and for IEEE Solid-State Circuits Letter (SSCL) (2017-present).

Email:

Address:Columbia University , 1300 S. W. Mudd Building, MC 4712 500 W. 120th Street , New York, NY , New York, United States, 10027




Agenda

6pm: Dinner and Networking

7pm: Lecture