Keynote Speech 1 (09:00 - 10:00, Tuesday, August 23)

Rethinking of Computing: Memory-Centric or In-Memory Computing

Prof. Tei-Wei Kuo (National Taiwan University)

Abstract: Flash memory opens a window of opportunities to a new world of computing over 20 years ago. Since then, storage devices gain their momentum in performance, energy, and even access behaviors. With over 1000 times in performance improvement over storage in recent years, there is another wave of adventure in removing traditional I/O bottlenecks in computer designs. In this talk, I shall first address the opportunities of new system architectures in computing. In particular, hybrid modules of DRAM and non-volatile memory (NVM) and all NVM-based main memory will be considered. I would also comment on a joint management framework of host/CPU and a hybrid memory module to break down the great memory wall by bridging the process information gap between host/CPU and a hybrid memory module. I will then present some solutions in neuromorphic computing which empower memory chips to own new capabilities in computing. In particular, I shall address challenges in in-memory computing in application co-designs and show how to utilize special characteristics of non-volatile memory in deep learning.

Biography: Prof. Kuo received his B.S.E. and Ph.D. degrees in Computer Science from National Taiwan University and University of Texas at Austin in 1986 and 1994, respectively. He is now Distinguished Professor of Department of Computer Science and Information Engineering of National Taiwan University, where he was an Interim President (2017.10–2019.01) and an Executive Vice President for Academics and Research (2016.08–2019.01). Between August 2019 and July 2022, Prof. Kuo took a leave to join City University of Hong Kong as Lee Shau Kee Chair Professor of Information Engineering, Advisor to President (Information Technology), and Founding Dean of College of Engineering. His research interest includes embedded systems, non-volatile-memory software designs, neuromorphic computing, and real-time systems. Prof. Kuo is Fellow of ACM, IEEE, and US National Academy of Inventors. He is also a Member of European Academy of Sciences and Arts. He is Vice Chair of ACM SIGAPP and Chair of ACM SIGBED Award Committee. Prof. Kuo received numerous awards and recognition, including Humboldt Research Award (2021) from Alexander von Humboldt Foundation (Germany), Outstanding Technical Achievement and Leadership Award (2017) from IEEE Technical Committee on Real-Time Systems, and Distinguished Leadership Award (2017) from IEEE Technical Committee on Cyber-Physical Systems. Prof. Kuo is the founding Editor-in-Chief of ACM Transactions on Cyber-Physical Systems (2015–2021) and a program committee member of many top conferences. He has over 300 technical papers published in international journals and conferences and received many best paper awards, including the Best Paper Award from ACM/IEEE CODES+ISSS 2019 and ACM HotStorage 2021.

Keynote Speech 2 (10:00 - 10:40, Wednesday, August 24)

K.S. Pua (Phison Electronics Corp.)

Abstract: TBD.

Keynote Speech 3 (10:50 - 11:30, Wednesday, August 24)

David Hsu (ARM Inc.)

Abstract: Confidential Computing is the protection of data in use, by performing computation within a trustworthy hardware-backed secure environment. This protection shields code and data from observation or modification by privileged software and hardware agents. In this talk, we will describe how the Arm Confidential Compute Architecture (Arm CCA) enables confidential computing in an Arm compute platform.

Biography: David Hsu is FAE Director of Arm, leading FAE team of Taiwan for closer collaboration and communications internally and externally to accomplish partners and customers solutions. He has over 20 years of professional experience in the semiconductor industry. David Hsu joined Arm in 2011 as a CPU FAE as well as responsible for product marketing and sales project management and then left in 2017. After then, he joined Intelligo, a start-up invested by MediaTek, leading the business development team to explore opportunities in Japan, Korea, and US. In 2019 David was recruited by Arm again as FAE director to drive Arm’s IP solutions adoption. In addition to Arm, David worked at Faraday, Alpha Imaging Technology (MediaTek subsidiary) and BenQ, focusing on IC design work ranging from architecture definition, RTL coding, front-end/back-end implementation to IC verification and testing. He has rich experience in pre-sales strategy set-up and sales enablement. David received a master’s degree in Computer Science and Engineering at National Chiao Tung University.