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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 資訊工程學系 > 會議論文  >  Accurate closed-form parameterized block-based statistical timing analysis applying skew-normal distribution

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/42226

    Title: Accurate closed-form parameterized block-based statistical timing analysis applying skew-normal distribution
    Authors: Chun-Yu Chuang;Wai-Kei Mak
    教師: 麥偉基
    Date: 2009
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: 2009 10th International Symposium on Quality Electronic Design, 68-73,16-18 March 2009
    Keywords: Monte Carlo methods
    design for manufacture
    integrated circuit design
    Abstract: ©2009 IEEE-Statistical static timing analysis (SSTA) is indispensable for nanometer manufacturing under process variability. The process variations cause significant uncertainty in VLSI circuit timing and this makes yield control and timing verification a very difficult challenge. SSTA is suitable for timing estimation and design for manufacturability under process variation. However, most of the existing SSTA techniques have difficulty in keeping closed-form expressions after max operations and sum operations on variation sources. For computing a converged statistical form after max operations and sum operations, we propose an analytical approach which innovates the concept given by first-order canonical form and skew-normal distribution to solve this problem. These derived results are in closedform and precise when timing sources have the skew-normal distribution or normal distribution. Experimental results show that, compared to the Monte-Carlo simulation, our approach estimates the timing constraint and predicts the yield within 1.5% and 0.2% error, respectively.
    URI: http://www.ieee.org/
    Appears in Collections:[資訊工程學系] 會議論文

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