Energy-Efficient Beyond-CMOS Nanoelectronic Device, Interconnect and System

Decades of continuous CMOS technology scaling has brought us significant improvement in computing capability and the cost reduction of microprocessors. However, this scaling is approaching its physical limits. Many beyond-CMOS technologies have been proposed to augment or even replace the conventional CMOS technology and to sustain the exponential growth of computational power. Most emerging devices have fundamentally different operation principles, and must be complemented with novel circuits, interconnects, memory, and system architectures to achieve their full potential. In this talk, I will start with the scaling challenges of CMOS devices, and introduce several representative beyond-CMOS devices. To fully utilize the unique physics of emerging devices, I will show a bio-inspired neuromorphic circuit, the cellular neural network, as the computing platform to achieve orders of magnitude improvement in computing efficiency for accelerating machine learning applications. Next, I will present an efficient hierarchical design methodology that allows optimization across various emerging device-, interconnect-, and system-level innovations for a generic VLSI system. The importance of technology/system co-design will be addressed by several case studies, including 3D and heterogeneous integration for a multi-core processor. I will conclude the talk with future directions to enable energy-efficient computing.

Chenyun Pan

Assistant Professor, UT Arlington on October 9, 2020 at 10:00 AM in Zoom Webinar
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Dr. Chenyun Pan is an Assistant Professor in the Department of Electrical Engineering at UT Arlington. He received a Ph.D. in the School of Electrical and Computer Engineering at Georgia Tech in 2015. He has published more than 40 peer-reviewed IEEE journal and conference papers. He is the recipient of two Best Paper awards in the IEEE International Symposium on Quality Electronic Design and IEEE Conference on IC Design and Technology, and 2018 Research Spotlight Award in the School of ECE at Georgia Tech. More information can be found on his website at

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