Artificial Intelligence Enabled by Analog Computing in Memory
Date:
30 Jun, 2020 (Tue)
Time:
10:00 am - 11:30 am
Webinar Link:
https://bit.ly/2XKNc4E

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Speaker

Prof. Huaqiang Wu,
Institute of Microelectronics,
Tsinghua University

Abstract

Recently, the topic of computation in memory becomes very hot due to the urgent needs of high computing efficiency in artificial intelligence applications. In contrast to von Neumann architecture, computation in memory technology avoids the data movement between CPU/GPU and memory which could greatly reduce the power consumption. Memristor is one ideal device which could not only store information with multi-bits but also conduct computing using ohm’s law. To make the best use of the memristors in neuromorphic systems, a memristor- friendly architecture and the software-hardware collaborative design methods are essential, and the key challenge is how to utilize the memristor’s analog behavior. This talk will discuss recent development of analog computing in memory technology.

 


Biography of the speaker:

Dr. Huaqiang Wu is presently the deputy director of the Institute of Microelectronics, Tsinghua University, Beijing, China. Dr. Wu also serves as the director of Micro/Nano Fabrication Center of Tsinghua University and director of Beijing Innovation Center for Future Chips.

 

All are welcome!

Event Poster Download: PDF

 


Organizer

Dr. N Wong & Co-Organizer with IEEE ED/SSC Hong Kong Joint Chapter

Most seminars are open to the general public, free of charge, unless otherwise stated. Registration is not required. Arrangement for car parking facilities on campus please contact us for details.

For enquiries, please contact:
Department of Electrical and Electronic Engineering,
Room 601, Chow Yei Ching Building,
Pokfulam Road, Hong Kong
Tel: (852) 3917 7093
Email: seminar@eee.hku.hk