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Kang et al., 2006 - Google Patents

Statistical timing analysis using levelized covariance propagation considering systematic and random variations of process parameters

Kang et al., 2006

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Document ID
5350264334259929261
Author
Kang K
Paul B
Roy K
Publication year
Publication venue
ACM Transactions on Design Automation of Electronic Systems (TODAES)

External Links

Snippet

Variability in process parameters is making accurate timing analysis of nano-scale integrated circuits an extremely challenging task. In this article, we propose a new algorithm for statistical static timing analysis (SSTA) using levelized covariance propagation (LCP) …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

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    • G06F17/5009—Computer-aided design using simulation
    • G06F17/5022—Logic simulation, e.g. for logic circuit operation
    • G06F17/5031—Timing analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/5036—Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
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