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Delay driven AIG restructuring using slack budget management
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Great Lakes Symposium on VLSI archive
Proceedings of the 18th ACM Great Lakes symposium on VLSI table of contents
Orlando, Florida, USA
POSTER SESSION: Poster session 1 table of contents
Pages 163-166  
Year of Publication: 2008
ISBN:978-1-59593-999-9
Authors
Andrew C. Ling  University of Toronto, Toronto, ON, Canada
Jianwen Zhu  University of Toronto, Toronto, ON, Canada
Stephen D. Brown  Altera Corporation, Toronto, ON, Canada
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Timing optimizations during logic synthesis has become a necessary step to achieve timing closure in VLSI designs. This often involves "shortening" all paths found in the circuit at a cost of increasing the circuit area. In contrast, we present a synthesis approach which leverages slack budgeting to effectively minimize the critical path length without increasing the area of the design. Our results confirm that this is an effective method to control area while optimizing for delay. When compared to an area driven logic synthesis flow, we achieve a 32% reduction in logic depth and an 11% reduction in circuit delay when placed by VPR [1]; and when compared against a depth controlled logic synthesis flow without slack budgeting, we achieve an 8% reduction in logic depth and a 3% reduction in circuit delay when placed by VPR [1]. In both cases, the area penalty is negligible.


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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J. Cortadella, "Timing-driven logic bi-decomposition," IEEE Journal on Technology in Computer Aided Design, vol. 22, no. 6, pp. 675--685, June 2003.
 
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A. Mishchenko and R. Brayton, "Scalable logic synthesis using a simple circuit structure," in IWLS, 2006, pp. 15--22.
 
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Collaborative Colleagues:
Andrew C. Ling: colleagues
Jianwen Zhu: colleagues
Stephen D. Brown: colleagues