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Improved performance and yield with chip master planning design methodology
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Great Lakes Symposium on VLSI archive
Proceedings of the 19th ACM Great Lakes symposium on VLSI table of contents
Boston Area, MA, USA
SESSION: Physical level optimization table of contents
Pages 185-190  
Year of Publication: 2009
ISBN:978-1-60558-522-2
Authors
Ali Jahanian  Shahid Beheshti University, G. C., Tehran, Iran
Morteza Saheb Zamani  Amirkabir University of Technology, Tehran, Iran
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mis-prediction is a dominant problem in nano-scale design that may diminish the quality of physical design algorithms or may even result in failing the design cycle convergence. In this paper, a new planning methodology is presented in which a masterplan of the chip is constructed in early levels of physical design and the rest of succeeding physical design stags operate considering this masterplan. The proposed planning design flow is used to wire planning and buffer resource planning in order to compare with conventional contributions. Experimental results show the considerable improvements in terms of performance, timing yield and buffer usage.


REFERENCES

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Collaborative Colleagues:
Ali Jahanian: colleagues
Morteza Saheb Zamani: colleagues