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Publication
Featured researches published by Jeffrey G. Hemmett.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | 2006
Chandramouli Visweswariah; K. Ravindran; Kerim Kalafala; Steven G. Walker; Sambasivan Narayan; Daniel K. Beece; Jeff Piaget; Natesan Venkateswaran; Jeffrey G. Hemmett
Variability in digital integrated circuits makes timing verification an extremely challenging task. In this paper, a canonical first-order delay model that takes into account both correlated and independent randomness is proposed. A novel linear-time block-based statistical timing algorithm is employed to propagate timing quantities like arrival times and required arrival times through the timing graph in this canonical form. At the end of the statistical timing, the sensitivity of all timing quantities to each of the sources of variation is available. Excessive sensitivities can then be targeted by manual or automatic optimization methods to improve the robustness of the design. This paper also reports the first incremental statistical timer in the literature, which is suitable for use in the inner loop of physical synthesis or other optimization programs. The third novel contribution of this paper is the computation of local and global criticality probabilities. For a very small cost in computer time, the probability of each edge or node of the timing graph being critical is computed. Numerical results are presented on industrial application-specified integrated circuit (ASIC) chips with over two million logic gates, and statistical timing results are compared to exhaustive corner analysis on a chip design whose hardware showed early mode timing violations
design automation conference | 2012
Vladimir Zolotov; Debjit Sinha; Jeffrey G. Hemmett; Eric A. Foreman; Chandu Visweswariah; Jinjun Xiong; Jeremy Leitzen; Natesan Venkateswaran
Statistical static timing analysis (SSTA) is ideal for random variations but is not suitable for environmental variations like Vdd and temperature. SSTA uses statistical approximation, according to which circuit timing is predicted accurately only for highly probable combinations of variational parameters. SSTA is not able to handle accurately deterministic sources of variation like supply voltage. This paper presents a novel technique for modeling nonseparable deterministic and statistical variations in single timing run.
Archive | 2009
Nathan C. Buck; Brian M. Dreibelbis; John P. Dubuque; Eric A. Foreman; Peter A. Habitz; Jeffrey G. Hemmett; Susan K. Lichtensteiger; Natesan Venkateswaran; Chandramouli Visweswariah; Xiaoyue Wang
Archive | 2008
Jeffrey G. Hemmett; Chandramouli Visweswariah; Vladimir Zolotov
Archive | 2010
Kerim Kalafala; Jennifer E. Basile; David J. Hathaway; Jeffrey G. Hemmett; Peihua Qi; Natesan Venkateswaran; Chandramouli Visweswariah; Vladimir Zolotov
Archive | 2009
Eric A. Foreman; Peter A. Habitz; David J. Hathaway; Jeffrey G. Hemmett; Kerim Kalafala; Jeffrey P. Soreff
Archive | 2009
Kerim Kalafala; Hemlata Gupta; David J. Hathaway; Jeffrey G. Hemmett
Archive | 2008
Jeffrey G. Hemmett; Natesan Venkateswaran; Chandramouli Visweswariah; Vladimir Zolotov
Archive | 2008
Nathan C. Buck; Eric A. Foreman; James C. Gregerson; Jeffrey G. Hemmett
Archive | 2011
Nathan C. Buck; Brian M. Dreibelbis; John P. Dubuque; Eric A. Foreman; Peter A. Habitz; Jeffrey G. Hemmett; Natesan Venkateswaran; Chandramouli Visweswariah; Xiaoyue Wang; Vladimir Zolotov