Tony Tae-Hyoung Kim of NTU

The recent development in neural networks has required massive data transfer between memory and processing elements for data processing. This heavy data transfer leads to substantial energy overhead and limits the overall performance of the neural networks. Computing-in-memory (CIM) has attracted the research community’s attention because of the significant energy efficiency improvement by minimizing the energy-hungry data transfer. CIM designs can employ either analog computing or digital computing, while each has its pros and cons. In this talk, I will present the basics of CIM design and various challenges. After that, various state-of-the-art CIM macros will be introduced. I will also discuss analog and digital CIM macros and their applications. In the last part, I will present CIM designs based on emerging non-volatile memory devices and their applications.

Biography:

Tony Tae-Hyoung Kim (Senior Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Korea University, Seoul, South Korea, in 1999 and 2001, respectively, and the Ph.D. degree in electrical and computer engineering from the University of Minnesota, Minneapolis, MN, USA, in 2009. From 2001 to 2005, he was with Samsung Electronics, Hwasung, South Korea. In 2009, he joined Nanyang Technological University, Singapore, where he is currently an Associate Professor.

He has published over 190 papers in journals and conferences and holds 20 U.S. and Korean patents registered. His current research interests include computing-in-memory for machine learning, ultra-low power circuits and systems for smart edge computing, low-power and high-performance digital, mixed-mode, and memory circuit design, variation-tolerant circuits and systems, and emerging memory circuits for neural networks.

Email:

Address:Nanyang, Singapore, Singapore