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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:基于模型的设计验证和共同优化灾难性和参数相关缺陷的协同方法,由于系统制造变化

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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 This rule-based methodology of making design decisions based on idealized polygons that no longer represent what is on silicon needs to be replaced.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硅感知的参数分析帮助设计人员优化其芯片以获得收益率,区域和性能,而不高成本应用船首的推荐设计规则。这组DFM /推荐规则主要是Litho驱动的,但不能保证可制造的设计而不施加过度限制的设计要求。这种基于规则的基于理想多边形的设计决策方法,需要更换不再代表硅上的内容。使用基于模型的光刻,OPC,RET和蚀刻效果,然后对所得形状进行电气评估,导致更现实和准确的分析。该分析可用于评估智能设计权衡,并识别设计阶段系统制造缺陷导致的潜在故障。成功的DFM设计方法由三部分组成:1。通过有限使用Litho相关推荐的设计规则来实现更积极的布局。通过使用更具侵略性的设计规则实现10%至15%的区域减少。只有在对单元大小没有影响时,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识别和修复热点。基于模型的Litho和蚀刻仿真在单元格级别完成以识别热点。违反建议规则可能导致额外的热点,然后是固定的。由此产生的设计已准备好步骤3. 3.通过用于晶体管和互连的过程感知参数分析工具提高定时精度。扩散的轮廓,聚合金层用于参数分析。在本文中,我们展示了Qualcomm的这种物理和电气DFM方法的结果。我们描述了高通公司能够开发更多的侵略性细胞设计,使用该方法产生10%至15%的面积减少。基于模型的形状模拟在图书馆开发期间使用,以验证架构选择并优化单元格布局。在物理验证阶段,形状模拟器在全芯片级运行,以识别和修复互连层上的残留热点,由于相邻单元之间的相互作用,或由于路由之间的相互作用(通过和通过盖子)和细胞几何形状。为了确定适当的电气DFM解决方案,高通公司开发了一种检查各种电效应的实验。在报告该实验的硅结果之后,这表明了由于与光刻相关的系统效应引起的大量延迟变化,我们还解释了扩散,多金属和金属的轮廓如何用于晶体管的硅感知参数分析和在细胞上的互连 - ,块和芯片级。

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