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Model-Based CMP Aware RC Extraction of Interconnects in 16nm Designs

机译:基于模型的CMP感知RC提取16nm设计中的互连

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Traditional RC extraction flows mostly consider interconnect thickness variations caused by etch and CMP processes in a way of rule-based approach where a form of tables or polynomials is used. While such rule-based approaches are easily incorporated into design flows, they are not inevitably accurate since table-look-ups in rules are inherently taking simple (mostly one dimensional) typed patterns. Moreover, rules fail to account for the length scale and cumulative effects in both etch and CMP, thereby making them less accurate compared to physics-based models. In this paper, we introduce a model-based CMP aware RC extraction flow that uses the results of thickness simulations from Cadence CMP modeling tools. We apply the proposed model-based CMP aware RC extraction flow to several blocks in a 16 nm design, and compare the results of the proposed model-based flow with those of a traditional rule-based RC extraction flow This paper also notes that running the model-based flow in conjunction with the traditional rule-based flow should cover the full range of RC variation along critical nets, and ensure faster timing closure.
机译:传统的RC提取主要是考虑由蚀刻和CMP工艺引起的互连厚度变化,以一种基于规则的方法,其中使用表格或多项式的形式。虽然这种基于规则的方法很容易被纳入设计流,但由于规则中的表查找是不可避免的,因此它们不可避免地准确,因此在规则中固有地采用简单(大多数是一维)的类型。此外,规则未能考虑蚀刻和CMP中的长度和累积效果,从而与基于物理的模型相比,使它们更低。在本文中,我们介绍了一种基于模型的CMP感知RC提取流,其利用Cadence CMP建模工具使用厚度模拟结果。我们应用所提出的基于模型的CMP知道RC中抽取16纳米设计流程的几个街区,并与传统的基于规则的RC提取的提出基于模型的流动的结果进行比较流本文还指出,在运行基于模型的流量与传统的基于规则的流程一起应覆盖沿临界网的全系列RC变化,并确保更快的时序闭合。

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