CESG Seminar: Dr. Jiang Hu

Friday, February 2, 2024
10:20 a.m. – 11:10 a.m. (CST)
ETB 1020

Dr. Jiang Hu
Professor, Department of Electrical and Computer Engineering
Texas A&M University

Title: “Chip Power Modeling and Physical Optimization Techniques”

Abstract
Power estimation and physical layout are both critical components in modern chip designs. The first part of this talk will be focused on a lightweight machine learning approach to microprocessor architecture level power modeling, which can be applied in either design-time power estimation or runtime power monitoring. This technique reduces power simulation time from two weeks to a few minutes for an industrial design. It also decreases the area overhead of on-chip power monitoring from 10% to less than 0.2%. The second part is about FPGA placement for CNN circuits. Different from conventional general-purpose methods, this is a customized approach that can make good use of the intrinsic regularity in CNN circuits. This technique reduces wirelength by about 24% compared to an industrial tool and state-of-the-art academic methods. Moreover, it usually leads to significantly reduced routing resource utilization, accelerated placement runtime and improved timing performance.

Biography
Dr. Jiang Hu is a professor in the Department of Electrical and Computer Engineering at Texas A&M University. His research interests include electronic design automation, approximate computing and machine learning for chip designs. He has co-authored more than 250 technical papers, co-invented 10 patents and co-edited a book. He received best paper awards at DAC 2001, ICCAD 2011, IEEE International Conference on Vehicular Electronics and Safety 2018, MICRO 2021 and ASPDAC 2023. He served as the technical program chair and general chair of the ACM International Symposium on Physical Design in 2011 and 2012, respectively. He was named an IEEE fellow in 2016. He was the technical program co-chair for the ACM/IEEE Workshop on Machine Learning for CAD 2023 and will be its general co-chair in 2024.