TCG: a transitive closure graph-based representation for non-slicing floorplans
Proceedings of the 38th annual Design Automation Conference
Efficient process-hotspot detection using range pattern matching
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Accurate detection for process-hotspots with vias and incomplete specification
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
High performance lithographic hotspot detection using hierarchically refined machine learning
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Rapid layout pattern classification
Proceedings of the 16th Asia and South Pacific Design Automation Conference
Dealing with IC manufacturability in extreme scaling
Proceedings of the International Conference on Computer-Aided Design
Proceedings of the 50th Annual Design Automation Conference
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In advanced fabrication technology, the sub-wavelength lithography gap causes unwanted layout distortions. Even if a layout passes design rule checking (DRC), it still might contain process hotspots, which are sensitive to the lithographic process. Hence, process-hotspot detection has become a crucial issue. In this paper, we propose an accurate process-hotspot detection framework. Unlike existing DRC-based works, we extract only critical design rules to express the topological features of hotspot patterns. We adopt a two-stage filtering process to locate all hotspots accurately and efficiently. Compared with state-of-the-art DRC-based works, our results show that our approach can reach 100% success rate with significant speedups.