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DRC-Based Hotspot Detection Considering Edge Tolerance And Incomplete Specification

机译:考虑边缘公差和不完整规范的基于DRC的热点检测

摘要

A range-pattern-matching-type DRC-based process hotspot detection is provided that considers edge tolerances and incomplete specification (“don't care”) regions in foundry-provided hotspot patterns. First, all possible topological patterns are enumerated for the foundry-provided hotspot pattern. Next, critical topological features are extracted from each pattern topology and converted to critical design rules using Modified Transitive Closure Graphs (MTCGs). Third, the extracted critical design rules are arranged in an order that facilitates searching space reduction techniques, and then the DRC process is sequentially repeated on a user's entire layout pattern for each critical design rule in a first group, then searching space reduction is performed to generate a reduced layout pattern, and then DRC process is performed for all remaining critical design rules using the reduced layout pattern. Candidate locations are then identified using the DRC results, and then the true hotspot locations are confirmed using longest common subsequence and linear scan techniques.
机译:提供了基于范围模式匹配类型DRC的过程热点检测,该过程考虑了铸造厂提供的热点模式中的边缘公差和不完整的规格(“不在乎”)区域。首先,列举了铸造厂提供的热点模式的所有可能的拓扑模式。接下来,从每个模式拓扑中提取关键拓扑特征,并使用修改后的传递闭合图(MTCG)将其转换为关键设计规则。第三,按有助于搜索空间缩减技术的顺序排列提取的关键设计规则,然后针对第一组中的每个关键设计规则在用户的整个布局模式上顺序重复DRC处理,然后执行搜索空间缩减以生成缩小的布局图案,然后使用缩小的布局图案对所有剩余的关键设计规则执行DRC处理。然后使用DRC结果确定候选位置,然后使用最长的通用子序列和线性扫描技术确定真实的热点位置。

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