报告题目：In-Memory Computing based on FeFETs for Machine Learning and Beyond

演讲摘要：Data transfer between a processor and memory is a major bottleneck in improving application-level performance. This is particularly the case for data intensive tasks such as some machine learning and security applications. In-memory computing, where certain data processing is performed in memory, can be an effective solution to address this bottleneck. However, conventional CMOS SRAM based in-memory computing fabrics face severe density and energy challenges. Thus, compact, low-power, fast and non-volatile in-memory computing is highly desirable. This talk presents our cross-layer efforts on designing in-memory computing modules based on ferroelectric FETs, an emerging, non-volatile device. An FeFET is made by integrating a ferroelectric material layer in the gate stack of a MOSFET, and can behave as both a transistor and a non-volatile storage element. This unique property enables area efficient and low-power finely integrated logic and memory. Novel circuits/architectures based on FeFETs to accomplish various types of content addressable memory and general computing in memory, will be elaborated. Application-level benefits, particularly for machine learning such as nearest neighbor search and memory augmented networks, will be discussed.

讲者简介：X. Sharon Hu is a professor in the department of Computer Science and Engineering at the University of Notre Dame, USA. Her research interests include low-power system design, circuit and architecture design with emerging technologies, real-time embedded systems and hardware-software co-design. She has published more than 300 papers in these areas. Some of her recognitions include the Best Paper Award from the Design Automation Conference and from the International Symposium on Low Power Electronics and Design, and NSF Career award. She has participated in several large industry and government sponsored center-level projects and is a theme leader in an NSF/SRC E2CDA project. She was the General Chair of Design Automation Conference (DAC) in 2018 and was the TPC chair of DAC in 2015. She is the Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems, and has also served as Associate Editor for IEEE Transactions on CAD, IEEE Transactions on VLSI, ACM Transactions on Cyber-Physical Systems, etc. X. Sharon Hu is a Fellow of the IEEE.