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ICCAD-2012 CAD contest in fuzzy pattern matching for physical verification and benchmark suite

Published:05 November 2012Publication History

ABSTRACT

With the widespread adoption of design for manufacturing techniques and design and process co-optimization as well as the increase in the complexity of the processes to manufacture integrated circuits there is pressing need in finding quickly to calibrate yet accurate and high performing methods to identify layout topologies which may cause yield loss. While full-based simulations provide the most accurate prediction possible their runtime prohibits an adoption at all levels of the design flow. Alternative traditional rule checking including pattern matching techniques are fast but have a limited application in finding locations that were not part the training set. Several approaches to improve the accuracy of the prediction to reduce the number of miss structures and false detections have been proposed, but none have yielded and acceptable tradeoff between accuracy and runtime. This contest is aimed to provide a suite of layouts which highlight the challenges of this application: Widely different classes, limited amount of data and low prediction rates.

References

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  3. D. Ding, "High Performance Lithography Hotspot Detection With successively Refined Pattern Identifications and Machine Learning" in Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, 2011, pp. 1621--1634. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Mostafa, "Multi-selection method for physical design verification applications". in Design for Manufacturability through Design-Process IntegrationV, Proc. SPIE 7974, 2011Google ScholarGoogle Scholar
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  1. ICCAD-2012 CAD contest in fuzzy pattern matching for physical verification and benchmark suite

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            • Published in

              cover image ACM Conferences
              ICCAD '12: Proceedings of the International Conference on Computer-Aided Design
              November 2012
              781 pages
              ISBN:9781450315739
              DOI:10.1145/2429384
              • General Chair:
              • Alan J. Hu

              Copyright © 2012 ACM

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              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 5 November 2012

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              Overall Acceptance Rate457of1,762submissions,26%

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