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Proceedings Paper

Design-of-experiments based design rule optimization
Author(s): Abde Ali Kagalwalla; Swamy Muddu; Luigi Capodieci; Coby Zelnik; Puneet Gupta
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Paper Abstract

Design rules (DRs) are the primary abstraction between design and manufacturing. The optimization of DRs to achieve the correct tradeoff between scaling and yield is a key step in developing a new technology node. In this work we propose a design-of-experiments based framework to optimize DRs, where layouts are generated for different DR values using compaction. By analyzing the impact of DRs on layout scaling, we propose a novel Boolean minimization based approach to reduce the number of layouts that need to be generated through compaction. This methodology provides an automated approach to analyze several DRs simultaneously and discover area-critical DRs and DR interactions. We apply this methodology to middle-of-line (MOL) and Metal1 layer design rules for a commercial 20nm process. Our methodology results in 10 - 105 x reduction in the number of layouts that need to be generated through compaction, and demonstrates the impact of MOL and Metal1 DRs on the area of some standard cell layouts.

Paper Details

Date Published: 15 March 2012
PDF: 8 pages
Proc. SPIE 8327, Design for Manufacturability through Design-Process Integration VI, 832709 (15 March 2012); doi: 10.1117/12.918067
Show Author Affiliations
Abde Ali Kagalwalla, Univ. of California, Los Angeles (United States)
Swamy Muddu, GLOBALFOUNDRIES Inc. (United States)
Luigi Capodieci, GLOBALFOUNDRIES Inc. (United States)
Coby Zelnik, Sagantec Inc. (United States)
Puneet Gupta, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 8327:
Design for Manufacturability through Design-Process Integration VI
Mark E. Mason, Editor(s)

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