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Statistical Timing Analysis With Coupling

机译:统计时序分析与耦合

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摘要

As technology scales to smaller dimensions, increasing process variations and coupling induced delay variations make timing verification extremely challenging. In this paper, the authors establish a theoretical framework for statistical timing analysis with coupling. They prove the convergence of their proposed iterative approach and discuss implementation issues under the assumption of a Gaussian distribution for the parameters of variation. A statistical timer based on their proposed approach is developed and experimental results are presented for the International Symposium on Circuits and Systems benchmarks. They juxtapose their timer with a single pass, noniterative statistical timer that does not consider the mutual dependence of coupling with timing, and another statistical timer that handles coupling deterministically. Monte Carlo simulations reveal a distinct gain (up to 24%) in accuracy by their approach in comparison to the others mentioned
机译:随着技术规模的缩小,工艺变化的增加和耦合引起的延迟变化使时序验证极具挑战性。在本文中,作者建立了统计时序分析与耦合的理论框架。他们证明了他们提出的迭代方法的收敛性,并在变量参数为高斯分布的假设下讨论了实现问题。开发了基于他们提出的方法的统计计时器,并为国际电路和系统专题讨论会基准提供了实验结果。他们将计时器与单次通过的非迭代统计计时器并置,该计时器不考虑耦合与时序的相互依赖性,而另一个统计计时器则确定性地处理耦合。蒙特卡洛模拟与其他提到的方法相比,通过其方法揭示了准确度明显提高(高达24%)

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