Exploiting Unique Characteristics of Beyond-CMOS Transistors for Spatial-Temporal Information Processing
University of Notre Dame
As CMOS technology gets ever closer to its scaling limit, research on transistors based on different materials and operating principles has become increasingly important. In this talk, I will begin by reviewing some architectural benchmark data for a number of beyond-CMOS devices to summarize the predicted performance gain. I will then provide a brief overview of several beyond-CMOS devices and emphasize their I-V characteristics that are atypical when compared to CMOS devices. Finally, I will discuss the impact of said devices on circuits and architectures. More specifically, I will highlight our work in exploiting these emerging devices for spatial-temporal information processing via novel implementations of cellular neural networks (CNNs), CNN-inspired architectures and several other basic computing kernels
Sharon Huis a professor in the department of Computer Science and Engineering at the University of Notre Dame, Notre Dame, Indiana, USA. Her research interests include low-power system design, circuit and architecture design with emerging technologies, hardware/software co-design and real-time embedded systems. She has published more than 250 papers in these areas, and received the Best Paper Award from the Design Automation Conference in 2001 and from the IEEE Symposium on Nanoscale Architectures in 2009. She is the Program Chair of Design Automation Conference in 2016. She also served as Associate Editor for IEEE Transactions on VLSI, ACM Transactions on Design Automation of Electronic Systems, ACM Transactions on Embedded Computing Systems. Sharon Hu is a Fellow of the IEEE.