Design-time solutions and guard-bands for resilience are no longer sufficient for integrated circuits and electronic systems. This presentation will describe how data analytics and real-time monitoring can be used to ensure that integrated circuits, boards, and systems operate as intended. The speaker will first present a representative critical path (RCP) selection method based on machine learning and linear algebra that allows us to measure the delay of a small set of paths and infer the delay of a much larger pool of paths. In the second part of the talk, the speaker will focus on the resilience problem for boards and systems; we are seeing a significant gap today between working silicon and a working board/system, which is reflected in failures at the board and system level that cannot be duplicated at the component level. The speaker will describe how machine learning, statistical techniques, and information-theoretic analysis can be used to close the gap between working silicon and a working system. Finally, the presenter will describe how time-series analysis can be used to detect anomalies in complex core router systems.
Krishnendu Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1992 and 1995, respectively. He is now the William H. Younger Distinguished Professor and Chair in the Department of Electrical and Computer Engineering and Professor of Computer Science at Duke University. Prof. Chakrabarty is a recipient of the National Science Foundation CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Transactions on CAD Donald O. Pederson Best Paper award (2015), the ACM Transactions on Design Automation of Electronic Systems Best Paper Award (2017) and over a dozen best paper awards at major IEEE conferences. He is also a recipient of the IEEE Computer Society Technical Achievement Award (2015), the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award (2017), and the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur (2014). He is a Research Ambassador of the University of Bremen (Germany) and a Hans Fischer Senior Fellow (named after Nobel Laureate Prof. Hans Fischer) at the Institute for Advanced Study, Technical University of Munich, Germany. He is a Fellow of ACM, a Fellow of IEEE, and a Golden Core Member of the IEEE Computer Society.
Prof. Chakrabarty served as the Editor-in-Chief of IEEE Design & Test of Computers during 2010-2012 and ACM Journal on Emerging Technologies in Computing Systems during 2010-2015. Currently he serves as the Editor-in-Chief of IEEE Transactions on VLSI Systems. He is also an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Multiscale Computing Systems, and ACM Transactions on Design Automation of Electronic Systems.
Master Program，ECE Department，Duke university
Assistant Prof. Drew Hilton
The master program in Duke university prepares students for either jobs industry, or further study in PhD programs. We have particularly strong programs in software and big data/machine learning for students who hope to go into industry in those areas, however, we also have courses across the broad range of sub-fields in our department. Interested students can find more information here http://ece.duke. edu/grad/masters.
Drew Hilton received his PhD in 2010 from the University of Pennsylvania, where he was a student of Amir Roth. After graduating, he worked at IBM for two years, then went to Duke, where he is currently an Assistant Professor of the Practice. In fall semesters, Drew teaches two intensive "boot camp" courses for incoming Masters students who want to be computer engineers, but have backgrounds in other fields. One of these courses is an intensive programming course, and the other covers hardware. Drew recently won the Klein Family Distinguished teaching award, which is awarded to one faculty member in the Pratt School of Engineering each year for teaching excellence. He also has a Courser Specialization on Java programming, with another coming up on C programming. In addition to his teaching, Drew does research on computer architecture.