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ECE Colloquium Series – Professor Jian-Ping Wang

November 15, 2018 @ 3:45 pm - 5:15 pm

As part of the *Eleanore Hale Wilson Lecture Series, ECE is proud to present:

Spintronics: A Pathway to Enable Beyond CMOS Era

 

Professor Jian-Ping Wang
University of Minnesota
Host: Professor Tony Low

 

Abstract

Many key technologies of our society, including artificial intelligence and big data, have been enabled by the invention of transistor and its ever-decreasing size and ever-increasing integration at a large scale. There is a clear scaling limit to the conventional transistor technology, however, and many recently proposed advanced transistors are having an uphill fight in the lab because of necessary performance tradeoffs and limited scaling potential. For example, to enable local or edge AI like family-based robots and self-driving cars without using cloud computing, the power consumption for any available computing system is still four to six orders of magnitude higher than needed. We have been envisioning and exploring a new pathway, nanomagnet-based spintronic devices, to address this grand challenge. Among all proposed spintronic devices for computing, magnetic tunnel junctions (MTJs) hold the brightest future with large practical impacts considering the maturity of manufacturing MTJs array in a various of semiconductor Foundries worldwide. Magnetic tunnel junctions (MTJs) were proved to provide high endurance and low-cost solutions for non-volatile, stochastic and nonlinear activation functions and the combinations. Those enable both the stochastic computing and probabilistic computing. MTJs based random access memory array has been demonstrated to be capable for different neuromorphic computing architectures. This talk will review several successful outcomes through STARnet/C-SPIN era to use MTJs for the computational random-access memory (CRAM), computing near memory, cognitive computing, stochastic and probabilistic computing and reconfigurable information processing, which are all the key build blocks for different AI accelerators.

J. P. Wang, et al, “A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era,” Proceedings of the 54th Annual Design Automation Conference 2017, Article No. 16; DOI:10.1145/3061639.3072942

 

Bio

Jian-Ping Wang is the Robert F. Hartmann Chair and a Distinguished McKnight University Professor of Electrical and Computer Engineering and a member of the graduate faculty in Physics and Chemical Engineering and Materials Science at the University of Minnesota. He established and managed the Magnetic Media and Materials program at Data Storage Institute, Singapore, from 1998 to 2002. He joined the faculty of the Electrical and Computer Engineering department at the University of Minnesota in 2002. He was the director of the Center for Spintronic Materials, Interfaces and Novel Architectures (C-SPIN), one of six STARnet program centers, and the largest vertically integrated spintronic center in the world. He is the director of the Center for Spintronic Materials for Advanced Information Technologies (SMART), one of two SRC nCORE centers. He received the information storage industry consortium (INSIC) technical award in 2006 for his pioneering experimental work in exchange coupled composite magnetic media and the outstanding professor award for his contribution to undergraduate teaching in 2010. He is an IEEE fellow.

 

 

*Established in 2009, the Eleanore Hale Wilson Fund supports engineering field leaders for travel to Minnesota to share their expertise and discoveries with University of Minnesota graduate students, faculty, and alumni. The fund also supports the receptions held in honor of each speaker.

Details

Date:
November 15, 2018
Time:
3:45 pm - 5:15 pm

Venue

Keller Hall Annex 3-230
200 Union St SE
Minneapolis, MN 55455 United States
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Website:
https://campusmaps.umn.edu/kenneth-h-keller-hall