| A parametric approach for handling local variation effects in timing analysis |
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Annual ACM IEEE Design Automation Conference
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Proceedings of the 46th Annual Design Automation Conference
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San Francisco, California
SESSION: Statistical methods in static timing analysis
table of contents
Pages: 126-129
Year of Publication: 2009
ISBN:978-1-60558-497-3
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Downloads (6 Weeks): 12, Downloads (12 Months): 30, Citation Count: 0
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ABSTRACT
In this paper we propose a new methodology, called parametric on chip variation (POCV) analysis, to determine local process variation effects on the timing of designs. The proposed methodology requires relative delay and parasitic variations of cells and interconnects, respectively. Once this information is provided, delays and arrival times are propagated to calculate slacks as a function of these relative variations. A key characteristic of the POCV analysis is that it does not require a statistical library characterization or statistical RC extraction. The POCV method has been implemented in a timing analysis software, and tested on multiple production designs on 65nm and 45nm technology nodes, including multi-million instance designs. Our observation was that compared to the existing methods, POCV removes unrealistical pessimism on the setup paths and captures risks on the hold paths, with no changes to the existing timing sign-off environment.
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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H. Chang, S. Sapatnekar, "Statistical timing analysis under spatial correlations," IEEE Trans. on CAD of Integrated Circuits and Systems, pp. 1467--1482, 2005.
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J. Le, "Parametric Cell Delay Models and their Applications in 65/45nm Digital Designs," Electrical Cell Modeling Workshop in IEEE/ACM International Conference on Computer Aided Design (ICCAD), San Jose, November, 2008.
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