Live-Stream


The International Technology Roadmap for Wide Bandgap Power Semiconductors (ITRW)

16 September, 9:00 am EDT

Speakers: Braham Ferreira and Peter Wilson

The webinar is being presented to provide the details of The International Technology Roadmap for Wide Bandgap Power Semiconductors (ITRW) that was co-initiated by IEEE PELS and organizations representing the USA, China, Japan, Europe, and UK in 2015. The webinar will provide information on where ITRW is going and details on the four different working groups within ITRW:

  • Materials and Devices (Chair: Andrew Binder)
  • Packaging and Integration (Chair: Mark Johnson)
  • System Integration and Application: GaN (Chair: Fred Wang)
  • System Integration and Application: SiC (Chair: Jin Wang)


Speaker’s Bio
:

Braham Ferreira has 40 years’ experience in power electronics R&D and the held three chairs in power electronics; first at the Rand Afrikaans University in South Africa, then he moved to The Netherlands where he held the chair in Power Electronics and Electrical Machines at the Delft University of Technology. Since 2019 he is Professor in Power Electronics at the University of Twente and is director of the ST power electronics group which is embedded in the Shenzhen Institute of Wide Bandgap Semiconductors, China. He served as President of the IEEE Power Electronics Society during 2015-6.

Peter Wilson is Professor of Electronics and Systems Engineering in the Department of Electronic and Electrical Engineering.

He received his BEng from Heriot-Watt University, MBA from Edinburgh Business School and PhD from the University of Southampton, and has industrial experience at Ferranti, GEC-Marconi, Analogy, Inc. prior to taking up his previous academic post of Associate Professor at Southampton in the School of Electronics and Computer Science.

He is a Fellow of the IET, Senior Member of the IEEE, and is currently serving as Executive Vice President of the IEEE Power Electronics Society. He has been the Technical and General Chair of the IEEE Workshop on Behavioral Modelling and Simulation, and also held numerous leadership positions at conferences including ETS, EBTW and FDL.

He has published more than 150 academic papers, three books and a patent, and has been principal investigator on numerous EPSRC grants. He is the supervisor of the Team Bath Racing Electric (TBRe) formula student electric racing team at Bath, co-supervisor of the Bath Zero Emissions Motorcycle racing team, and leads postgraduate teaching developments in the Department of Electronic and Electrical Engineering.

Abstract:

GPU/accelerator architectures have greatly improved the training and inferencing speed for neural-network-based machine learning models. As major industry players race to develop ambitious applications such as self-driving vehicles, unstructured data analytics, human-level interactive systems, and human intelligence augmentation, major challenges remain in computational methods as well as hardware/software infrastructures required for these applications to be effective, robust, responsive, accountable and cost-effective. These applications impose much higher levels of data storage capacity, access latency, energy efficiency, and throughput. In this talk, I will present a vision for building a new generation of computing components and systems for these applications.

Speaker’s Bio:

Wen-mei W. Hwu is a Professor and holds the Sanders-AMD Endowed Chair in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign. He is the director of the IMPACT research group (www.crhc.uiuc.edu/Impact). He co-directs the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR) and serves as one of the principal investigators of the NSF Blue Waters Petascale supercomputer. For his contributions, he received the ACM SigArch Maurice Wilkes Award, the ACM Grace Murray Hopper Award, the IEEE Computer Society Charles Babbage Award, the ISCA Influential Paper Award, the IEEE Computer Society B. R. Rau Award and the Distinguished Alumni Award in Computer Science of the University of California, Berkeley. He is a fellow of IEEE and ACM. Dr. Hwu received his Ph.D. degree in Computer Science from the University of California, Berkeley.

Description

The Low Power Image Recognition Challenge (LPIRC) 2019 is a one-day workshop that will extend the successes of LPIRC from the past four years, identifying the best computer vision solutions that can simultaneously achieve high accuracy and energy efficiency. Since the first competition, held in 2015, the winners’ solutions have improved 24x in the ratio of accuracy divided by energy.

The live-stream of LPIRC will feature presentations from researchers and last year's winner (all times PDT):

09:30-09:40 - Welcome by Organizers and Summary of Online Challenge

09:40-10:30 - 2018 competition winners will give a talk on their winning solutions — Amazon's Tao Sheng, and Expasoft's Alexander Goncharenko and Sergey Alyamkin

10:30-11:10 - Invited Talk: Rethinking the Computations in Computer Vision (and the Hardware that Computes Them) - UC Berkeley's Kurt Keutzer

11:10-13:40 - Live-stream will shut down temporarily

13:40-14:00 - Invited Talk: Visual Wake Words Challenge - Google's Aakanksha Chowdhery and Pete Warden

Additional Supporting Details

  • Additional Speaker

    Title, Company

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  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

  • Additional Speaker

    Title, Company

    Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

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  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

  • Brownie sesame snaps candy canes. Wafer muffin powder chocolate bear claw bonbon pastry. Topping caramels carrot cake marshmallow soufflé icing.

    > Read More

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