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A parametric approach for handling local variation effects in timing analysis

机译:处理定时分析中局部变异效应的参数方法

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In this paper we propose a new methodology, called parametric on chip variation (POCV) analysis, to determine local process variation effects on the timing of designs. The proposed methodology requires relative delay and parasitic variations of cells and interconnects, respectively. Once this information is provided, delays and arrival times are propagated to calculate slacks as a function of these relative variations. A key characteristic of the POCV analysis is that it does not require a statistical library characterization or statistical RC extraction. The POCV method has been implemented in a timing analysis software, and tested on multiple production designs on 65 nm and 45 nm technology nodes, including multi-million instance designs. Our observation was that compared to the existing methods, POCV removes unrealistical pessimism on the setup paths and captures risks on the hold paths, with no changes to the existing timing sign-off environment.
机译:本文提出了一种新的方法,称为参数上的芯片变化(POCV)分析,以确定对设计时机的局部流程变化效应。所提出的方法,分别需要相对延迟和寄生的细胞和互连。一旦提供了该信息,将延迟和到达时间传播以计算作为这些相对变化的函数的松弛。 POCV分析的关键特征是它不需要统计文库表征或统计RC提取。 POCV方法已在定时分析软件中实现,并在65 nm和45nm技术节点上测试多个生产设计,包括多百万个实例设计。我们的观察是,与现有方法相比,POCV在设置路径上删除了不真实的悲观,并在保持路径上捕获风险,没有对现有的时序签名环境的变化。

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