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A methodology for fast and accurate yield factor estimation during global routing
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Source International Conference on Computer Aided Design archive
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California
SESSION: Global routing table of contents
Pages 481-487  
Year of Publication: 2007
ISBN ~ ISSN:1092-3152 , 1-4244-1382-6
Authors
Subarna Sinha  Synopsys Inc., Mountain View, CA
Charles C. Chiang  Synopsys Inc., Mountain View, CA
Sponsors
: IEEE CASS/CANDE
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CS\DATC : IEEE Computer Society
CEDA : Council on Electronic Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 40,   Citation Count: 0
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ABSTRACT

In this paper, a novel and computationally efficient methodology to accurately estimate key yield factors during the global routing stage is presented. Such an yield factor estimator at the global routing stage is essential since it can used to either get an early estimate of the final yield of the same design (i.e. the yield after applying the required sequence of detailed routing and post-routing yield optimizations) and/or to improve the final yield of the design by making the solution at the end of global routing more amenable to post-routing yield optimizations. The proposed yield factor estimator is inherently flexible and can easily be programmed to estimate during global routing a variety of key yield factors of the same design after a typical sequence of detailed routing and representative post-routing yield optimizations has been applied. Examples are provided to show how the yield factor estimator can be used to predict short and open critical area and metal density after typical yield optimization solutions like wire-spreading, wire-widening and metal filling, respectively. Experimental results presented in the paper show that the proposed yield factor estimator can predict final yield factor hotspots/values with a high degree of accuracy. The proposed estimator is also shown to be more suited for the purpose of yield factor estimation compared with typical metrics at the global routing stage like congestion.


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:
Subarna Sinha: colleagues
Charles C. Chiang: colleagues