Exploiting Unique Characteristics of Beyond- CMOS Transistors for Spatial-Temporal Information Processing

ECE Seminar: Exploiting Unique Characteristics of Beyond- CMOS Transistors for Spatial-Temporal Information Processing


Starts at: March 9, 2017 4:30 PM

Ends at: 6:00 PM

Location: Scaife Hall 125

Speaker: Dr. Xiaobo Sharon Hu

Affiliation: Professor, Department of Computer Science & Engineering, University of Notre Dame

Refreshments provided: Yes

Link to Abstract

Link to Video (1)

Details:

Abstract:

As CMOS technology gets ever closer to its scaling limit, research on
transistors based on different materials and operating principles has become
increasingly important. When compared to CMOS devices, emerging transistor
technologies could offer improved subthreshold swing/steeper slopes, work at
lower operating voltages (e.g., 0.2-0.3 V), and be more robust to process and/or
temperature variations, which could lead to lower power consumption and
higher reliability for processors based on the von Neumann architecture.
However, recent studies suggest that many of the emerging transistors being
investigated, if used as simple drop-in replacement for MOSFETs, may only
achieve speedups that mirror historical trends for the most highly parallelizable
benchmarks (>99%). Nevertheless, some beyond-CMOS transistors
demonstrate other unique characteristics such as negative differential
resistance, hysteresis, and oscillatory behavior. Such device characteristics
have the potential to greatly simply the implementation of certain non von
Neumann processors as well as other computation kernels, and may offer
orders of magnitude improvement in terms of power, performance and
capability.

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.

Bio:

Sharon Hu is 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 270 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 Vice General Chair of Design Automation Conference in 2017. 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.

SEMINAR NOTES: (REFRESHMENTS SERVED AT 4:00 PM)