Accurate process-hotspot detection using critical design rule extraction
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 cruci...
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| Published in | Proceedings of the 49th Annual Design Automation Conference pp. 1167 - 1172 |
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| Main Authors | , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
New York, NY, USA
ACM
03.06.2012
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| Series | ACM Conferences |
| Subjects | |
| Online Access | Get full text |
| ISBN | 1450311997 9781450311991 |
| DOI | 10.1145/2228360.2228576 |
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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. |
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| AbstractList | 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. |
| Author | Sinha, Subarna Jiang, Iris Hui-Ru Chiang, Charles Chan, Ya-Chung Yu, Yen-Ting |
| Author_xml | – sequence: 1 givenname: Yen-Ting surname: Yu fullname: Yu, Yen-Ting organization: National Chiao Tung University, Hsinchu, Taiwan – sequence: 2 givenname: Ya-Chung surname: Chan fullname: Chan, Ya-Chung organization: MStar Semiconductor, Inc., Chupei, Taiwan – sequence: 3 givenname: Subarna surname: Sinha fullname: Sinha, Subarna organization: Stanford University, Stanford, CA – sequence: 4 givenname: Iris Hui-Ru surname: Jiang fullname: Jiang, Iris Hui-Ru organization: National Chiao Tung University, Hsinchu, Taiwan – sequence: 5 givenname: Charles surname: Chiang fullname: Chiang, Charles organization: Synopsys, Inc., Mountain View, CA |
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| DOI | 10.1145/2228360.2228576 |
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| Keywords | design for manufacturability design rule checking pattern matching lithography process hotspot |
| Language | English |
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| Snippet | In advanced fabrication technology, the sub-wavelength lithography gap causes unwanted layout distortions. Even if a layout passes design rule checking (DRC),... |
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| SubjectTerms | Hardware -- Electronic design automation -- Physical design (EDA) |
| Title | Accurate process-hotspot detection using critical design rule extraction |
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