Driver modeling and alignment for worst-case delay noise

S. Sirichotiyakul, D. Blaauw, C. Oh, R. Levy, V. Zolotov, Jingyan Zuo
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引用次数: 96

Abstract

In this paper, we present a new approach to model the impact of cross-coupling noise on interconnect delay. We introduce a new linear driver model that accurately models the noise pulse induced on a switching signal net due to cross coupling capacitance. The proposed model effectively captures the nonlinear behavior of the victim driver gate during the transition and has an average error below 8% whereas the traditional approach using a Thevenin model incurs an average error of 48%. We also discuss the worst case alignment of the aggressor net transitions with respect to the victim net transition, emphasizing the need to maximize not merely the delay of the interconnect alone but the combined delay of the interconnect and receiver gate. We show that the worst case alignment of an aggressor net transition is a function of the receiver gate output loading, victim transition edge rate, and the noise pulse width and height and hence propose a pre-characterization approach to efficiently predict the worst-case alignment. The proposed methods were implemented in an industrial noise analysis tool called ClariNet. Results on industrial designs are presented to demonstrate the effectiveness of our approach.
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最坏情况下延迟噪声的驱动建模和校准
在本文中,我们提出了一种新的方法来模拟交叉耦合噪声对互连延迟的影响。我们介绍了一种新的线性驱动模型,该模型可以精确地模拟由交叉耦合电容引起的开关信号网络上的噪声脉冲。该模型有效地捕获了过渡过程中受害驱动门的非线性行为,平均误差低于8%,而使用Thevenin模型的传统方法的平均误差为48%。我们还讨论了攻击者网络转换相对于受害者网络转换的最坏情况对齐,强调不仅需要最大化互连的延迟,而且需要最大化互连和接收门的联合延迟。我们证明了攻击网过渡的最坏情况对准是接收器门输出负载、受害者过渡边缘率和噪声脉冲宽度和高度的函数,因此提出了一种预表征方法来有效地预测最坏情况对准。在工业噪声分析工具ClariNet中实现了所提出的方法。工业设计的结果证明了我们的方法的有效性。
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