Data-Driven Resiliency Solutions for Integrated Circuits and Systems

  • 2017-08-10
  • Research

Guest lecture by Krishnendu Chakrabarty (Duke University, USA)


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 of Engineering in the Department of Electrical and Computer Engineering and Professor of Computer Science at Duke University. He also serves as Director of Graduate Studies for Electrical and Computer Engineering. 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 (2016), and over a dozen best paper awards at major 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.

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