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Layout decomposition for double patterning lithography
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International Conference on Computer Aided Design archive
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design table of contents
San Jose, California
SESSION: DFM methods for advanced lithography table of contents
Pages 465-472  
Year of Publication: 2008
ISBN ~ ISSN:1092-3152 , 978-1-4244-2820-5
Authors
Andrew B. Kahng  UC San Diego, La Jolla, CA and Blaze DFM, Inc., Sunnyvale, CA
Chul-Hong Park  UC San Diego, La Jolla, CA
Xu Xu  Blaze DFM, Inc., Sunnyvale, CA
Hailong Yao  UC San Diego, La Jolla, CA
Sponsors
: IEEE CASS/CANDE
: IEEE Council on Electronic Design Automation (CEDA)
SIGDA: ACM Special Interest Group on Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 21,   Downloads (12 Months): 70,   Citation Count: 2
Additional Information:

abstract   references   cited by   collaborative colleagues  

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ABSTRACT

In double patterning lithography (DPL) layout decomposition for 45nm and below process nodes, two features must be assigned opposite colors (corresponding to different exposures) if their spacing is less than the minimum coloring spacing [11, 9, 5]. However, there exist pattern configurations for which pattern features separated by less than the minimum color spacing cannot be assigned different colors. In such cases, DPL requires that a layout feature be split into two parts. We address this problem using a layout decomposition algorithm that includes graph construction, conflict cycle detection, and node splitting processes. We evaluate our technique on both real-world and artificially generated testcases in 45nm technology. Experimental results show that our proposed layout decomposition method effectively decomposes given layouts to satisfy the key goals of minimized line-ends and maximized overlap margin. There are no design rule violations in the final decomposed layout.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Andrew B. Kahng: colleagues
Chul-Hong Park: colleagues
Xu Xu: colleagues
Hailong Yao: colleagues