A Fast and Accurate Monte Carlo Method for Interconnect Variation

M. Zhang, M. Olbrich, H. Kinzelbach, D. Seider, E. Barke
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引用次数: 6

Abstract

For exploring the impact of manufacturing variation on interconnect characteristics, the basic Monte Carlo Method is accurate but computationally very expensive. To overcome the inherent speed limitation we developed an uncomplicated method employing the importance sampling technique. Using confidence intervals our results always take uncertainty into account. The application to a two dimensional interconnect model shows that our method is 23~93 times faster than the basic Monte Carlo method
一种快速准确的互连变化蒙特卡罗方法
为了探索制造变化对互连特性的影响,基本蒙特卡罗方法是准确的,但计算成本非常高。为了克服固有的速度限制,我们开发了一种采用重要采样技术的简单方法。使用置信区间,我们的结果总是考虑到不确定性。对二维互连模型的应用表明,该方法比基本的蒙特卡罗方法快23~93倍
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