Event

IEEE Circuits and Systems: Mingoo Seok, "Ultra-Low-Power Computing Hardware Design in the Era of AI"

Thursday, May 9, 2019
6:00 p.m.-8:30 p.m.
2460 A.V. Williams Bldg.
Pamela Abshire
pabshire@umd.edu
https://events.vtools.ieee.org/m/198197

Ultra-Low-Power Computing Hardware Design in the Era of AI and ML

Mingoo Seok
Associate Professor of Electrical Engineering
Columbia University

Abstract
Computing technology has been the backbone of our society. Its importance is hard to overemphasize. Today, we again confirm its extreme importance with recent advances in artificial intelligence and deep learning. Those emerging workloads impose an unprecedented amount of arithmetic complexity and data access beyond our existing computing systems can barely handle. Across the computing systems from data centers, to mobile, and to extreme implants will face a major challenge in achieving desirable speed, energy-efficiency, and accuracy for truly enabling intelligent systems. In this seminar, we will outline the important bottlenecks to designing ultra-low-power computing hardware for AI and ML workloads, notably the end of Moore’s Law and the memory wall problem. We will then discuss several approaches that our group has been working on, including in-memory computing, hybrid analog-digital computing, and digital multi-core accelerator, and nanowatt DVS hardware. We will introduce several test-chip prototypes and their measurement results.

Biography
Mingoo Seok is an associate professor of Electrical Engineering at Columbia University. He received the BS from Seoul National University, South Korea, in 2005, and the MS and Ph.D. degree from the University of Michigan in 2007 and 2011, respectively, all in electrical engineering. His research interests are various aspects of VLSI circuits and architecture, including ultra-low-power integrated systems, cognitive and machine-learning computing, adaptive technique for the process, voltage, temperature variations, and transistor wear-out, event-driven controls, and hybrid continuous and discrete computing. He won the 2015 NSF CAREER award and 2019 Qualcomm Faculty Award. He is the technical program committee members for multiple conferences including IEEE International Solid-State Circuits Conference (ISSCC). He has been as an associate editor for IEEE Transactions on Circuits and Systems Part I (TCAS-I) (2014-2016), IEEE Transactions on VLSI Systems (TVLSI) (2015-present) and for IEEE Solid-State Circuits Letter (SSCL) (2017-present).