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Interconnect capacitance estimation for FPGAs
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Source Asia and South Pacific Design Automation Conference archive
Proceedings of the 2004 Asia and South Pacific Design Automation Conference table of contents
Yokohama, Japan
SESSION: Reconfigurable systems table of contents
Pages: 713 - 718  
Year of Publication: 2004
ISBN:0-7803-8175-0
Authors
Jason H. Anderson  University of Toronto, Toronto, Ontario, Canada
Farid N. Najm  University of Toronto, Toronto, Ontario, Canada
Sponsors
IEICE : Institute of Electronics, Information and Communication Engineers
: IEEE Circuits and Systems Society
IPSJ : Information Processing Society of Japan
SIGDA: ACM Special Interest Group on Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 26,   Citation Count: 4
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ABSTRACT

The dynamic power consumed by a digital CMOS circuit is directly proportional to capacitance. In this paper, we consider pre-routing capacitance estimation for FPGAs and develop an empirical estimation model, suitable for use in power-aware placement, early power prediction, and other applications. We show that estimation accuracy is improved by considering aspects of the FPGA interconnect architecture in addition to generic parameters, such as net fanout and bounding box perimeter length. We also show that there is an inherent variability (noise) in the capacitance of nets routed using a commercial FPGA layout tool. This variability limits the accuracy attainable in capacitance estimation. Experimental results show that the proposed estimation model works well given the noise limitations.


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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Xilinx, Inc., San Jose, CA. Virtex II PRO FPGA Data Sheet, 2003.
 
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K. Roy. Power-dissipation driven FPGA place and route under timing constraints. IEEE Transactions On Circuits and Systems, 46(5):634--637, May 1999.
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Xilinx power tools. http://www.xilinx.com/ise/power_tools, 2003.
 
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The R project for statistical computing. http://www.r-project.org, 2003.
 
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J. Lou, S. Thakur, S. Krishnamoorthy, and H. S. Sheng. Estimating routing congestion using probabilistic analysis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 21(1):32--41, January 2002.
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Collaborative Colleagues:
Jason H. Anderson: colleagues
Farid N. Najm: colleagues