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Nonvolatile Computing: Towards Ubiquitous Smart Low-Power Computing

Date: 2017-08-02
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Nonvolatile Computing: Towards Ubiquitous  Smart Low-Power Computing

I. Details of the lecture 

Topic: Nonvolatile Computing: Towards Ubiquitous  Smart Low-Power Computing

Time: 10:00am, Aug 4, 2017

Location: Room 8-206, ROHM Building,Tsinghua University

Speaker: Jingtong  Hu   Assistant Professor, Dept. of  Electrical  and Computer Engineering, University of Pittsburgh, PA, USA

II. Introduction to the speaker 

Jingtong Hu is currently an Assistant Professor in the Department of Electrical and Computer Engineering at University of Pittsburgh, PA, USA. He received his Ph.D. degree in Computer Science from the University of Texas at Dallas, TX, USA in Aug. 2013 and B.E. degree from School of Computer Science and Technology, Shandong University, China in 2007. His research interests include embedded systems, FPGA, non-volatile memory, and wireless sensor network. His research has been sponsored by National Science Foundation (NSF),  Air Force Research Lab (AFRL), and Altera. He has served as Technical Program Committee for many international conferences such as ASP-DAC,  DATE, DAC,  ESWEEK, RTSS, etc. He is also the recipient of OSU CEAT Outstanding New Faculty Award, Women's Faculty Council Research Award, and Air Force Summer Faculty Fellowship.

III. Content of lecture 

The vision of Internet of Things (IoT) is to connect “things” embedded with electronics to improved social/economic benefits and overall human well-being. It is estimated that the IoT will consist of almost 50 billion objects by 2020. While the vision is promising and exciting, power these 50 billion embedded devices with traditional battery or cable power will be challenging since in many cases it is inconvenient, costly, or even dangerous to replace or service them. Emerging Nonvolatile Memories (NVMs), such as PCM, STT-RAM, and RRAM, not only help reducing power consumption as memory and storage, but also enable new computing paradigms. With their non-volatility, NVMs enable accumulative computing over intermittently harvested energy, which realizes a new class of devices that can run for decades with little maintenance. In this talk, challenges and solutions to apply NVMs in embedded computing systems, such as wearable systems and sensor applications, to reduce energy consumption and enable energy harvesting powering IoT will be presented.

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