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Model-based Approach for Design Verification and Co-optimization of Catastrophic and Parametric-related Defects due to Systematic Manufacturing Variations

机译:基于模型的方法,用于系统制造变异导致的灾难性和参数相关缺陷的设计验证和协同优化

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Model-based hotspot detection and silicon-aware parametric analysis help designers optimize their chips for yield, area and performance without the high cost of applying foundries' recommended design rules. This set of DFM/ recommended rules is primarily litho-driven, but cannot guarantee a manufacturable design without imposing overly restrictive design requirements. This rule-based methodology of making design decisions based on idealized polygons that no longer represent what is on silicon needs to be replaced. Using model-based simulation of the lithography, OPC, RET and etch effects, followed by electrical evaluation of the resulting shapes, leads to a more realistic and accurate analysis. This analysis can be used to evaluate intelligent design trade-offs and identify potential failures due to systematic manufacturing defects during the design phase. The successful DFM design methodology consists of three parts:1. Achieve a more aggressive layout through limited usage of litho-related recommended design rules.A 10% to 15% area reduction is achieved by using more aggressive design rules. DFM/recommended design rules are used only if there is no impact on cell size. 2. Identify and fix hotspots using a model-based layout printability checker.Model-based litho and etch simulation are done at the cell level to identify hotspots. Violations of recommended rules may cause additional hotspots, which are then fixed. The resulting design is ready for step 3. 3. Improve timing accuracy with a process-aware parametric analysis tool for transistors and interconnect. Contours of diffusion, poly and metal layers are used for parametric analysis. In this paper, we show the results of this physical and electrical DFM methodology at Qualcomm. We describe how Qualcomm was able to develop more aggressive cell designs that yielded a 10% to 15% area reduction using this methodology. Model-based shape simulation was employed during library development to validate architecture choices and to optimize cell layout. At the physical verification stage, the shape simulator was run at full-chip level to identify and fix residual hotspots on interconnect layers, on poly or metal 1 due to interaction between adjacent cells, or on metal 1 due to interaction between routing (via and via cover) and cell geometry. To determine an appropriate electrical DFM solution, Qualcomm developed an experiment to examine various electrical effects. After reporting the silicon results of this experiment, which showed sizeable delay variations due to lithography-related systematic effects, we also explain how contours of diffusion, poly and metal can be used for silicon-aware parametric analysis of transistors and interconnect at the cell-, block- and chip-level.
机译:基于模型的热点检测和可识别硅的参数分析可帮助设计人员优化其芯片的良率,面积和性能,而无需应用代工厂推荐的设计规则的高昂成本。这套DFM /推荐规则主要是光刻驱动的,但是如果不施加过分严格的设计要求,就不能保证可制造的设计。这种基于规则的方法无法根据不再代表硅上成分的理想化多边形进行设计决策,因此需要替换。使用基于模型的光刻,OPC,RET和蚀刻效果的模拟,然后对所得形状进行电学评估,可以使分析更加真实和准确。该分析可用于评估智能设计的折衷,并确定在设计阶段由于系统制造缺陷而导致的潜在故障。成功的DFM设计方法包括三个部分: 1.通过限制使用与光刻相关的推荐设计规则来实现更具侵略性的布局。 通过使用更严格的设计规则,可将面积减少10%至15%。仅在不影响像元大小的情况下才使用DFM /推荐的设计规则。 2.使用基于模型的布局可打印性检查器确定并修复热点。 在单元级别完成了基于模型的光刻和蚀刻仿真,以识别热点。违反建议的规则可能会导致其他热点,然后将其修复。最终的设计已准备就绪,可用于步骤3。3.使用用于晶体管和互连的可识别过程的参数分析工具来提高时序精度。扩散层,多晶硅层和金属层的轮廓用于参数分析。在本文中,我们展示了高通公司这种物理和电气DFM方法论的结果。我们描述了高通公司如何能够开发出更具侵略性的电池设计,并使用这种方法将面积减少了10%至15%。在库开发过程中采用了基于模型的形状模拟来验证体系结构选择并优化单元布局。在物理验证阶段,形状仿真器在全芯片级别运行,以识别并修复互连层,多晶硅或金属1(由于相邻单元之间的相互作用)或金属1(由于布线之间的相互作用(通过和通过盖子)和单元的几何形状。为了确定合适的DFM电解决方案,高通公司开发了一项实验来检查各种电效应。在报告了该实验的硅结果之后,该结果显示了由于光刻相关的系统效应而导致的较大延迟变化,我们还解释了扩散,多晶硅和金属的轮廓如何用于晶体管的硅感知参数分析以及在单元处的互连。 ,块级和芯片级。

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