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Simultaneous buffer insertion and wire sizing considering systematic CMP variation and random leff variation
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Source International Symposium on Physical Design archive
Proceedings of the 2005 international symposium on Physical design table of contents
San Francisco, California, USA
SESSION: Power, buffering and open source table of contents
Pages: 78 - 85  
Year of Publication: 2005
ISBN:1-59593-021-3
Authors
Lei He  University of California, Los Angeles, CA
Andrew Kahng  University of California, San Diego, CA and Blaze DFM, Inc., Sunnyvale, CA
King Ho Tam  University of California, Los Angeles, CA
Jinjun Xiong  University of California, Los Angeles, CA
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 22,   Citation Count: 3
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ABSTRACT

This paper studies the impacts of Chemical Mechanical Polishing (CMP)-induced systematic variation and random channel length (Leff) variation of transistors on interconnect design. We first construct a table look-up based interconnect RC parasitic model considering CMP effects with optimized fill insertion. Based on the model, we solve the simultaneous buffer insertion, wire sizing and fill insertion (SBWF) problem under CMP variation. We also extend the SBWF problem to consider the random Leff variation (SBWF). We approach the resulting vSBWF problem by (1) incorporating probability density function (PDF) into the SBWF algorithm; and (2) developing an efficient heuristic for PDF pruning, whose practical optimality is verified by an accurate but much slower pruning. Experimental results show that the SBWF design improves timing by 1.0% and reduces power by 5.7% on average with 7.4% less buffer area over the conventional buffer insertion and wire sizing design followed by fill insertion (SBWF), and that the vSBWF design reduces yield loss due to CMP and Leff variations by 44.3% on average over the SBWF design. The runtime of vSBWF is 8.3x that of SBWF, and vSBWF for the largest example containing 3103 sinks finishes in 124 minutes.


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:
Lei He: colleagues
Andrew Kahng: colleagues
King Ho Tam: colleagues
Jinjun Xiong: colleagues