Accurate process-hotspot detection using critical design rule extraction

  • Authors:
  • Yen-Ting Yu;Ya-Chung Chan;Subarna Sinha;Iris Hui-Ru Jiang;Charles Chiang

  • Affiliations:
  • National Chiao Tung University, Hsinchu, Taiwan;MStar Semiconductor, Inc., Chupei, Taiwan;Stanford University, Stanford, CA;National Chiao Tung University, Hsinchu, Taiwan;Synopsys, Inc., Mountain View, CA

  • Venue:
  • Proceedings of the 49th Annual Design Automation Conference
  • Year:
  • 2012

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Abstract

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.