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Statistical estimation of average power dissipation in CMOS VLSI circuits using nonparametric techniques
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 1996 international symposium on Low power electronics and design table of contents
Monterey, California, United States
Pages: 73 - 78  
Year of Publication: 1996
ISBN:0-7803-3571-6
Authors
L. Yuan  Dept. of ECE and Coordinated Science Lab., U. of Illinois at Urbana-Champaign, 1308 W. Main St., Urbana, IL
C. Teng  EPIC Design Technology, Inc., 310 N. Mary Ave., Sunnyvale, CA
S. Kang  Dept. of ECE and Coordinated Science Lab., U. of Illinois at Urbana-Champaign, 1308 W. Main St., Urbana, IL
Sponsors
IEEE-CAS : Circuits & Systems
IEEE-SSCS : Solid Stat Circuits Council
SIGDA: ACM Special Interest Group on Design Automation
Publisher
IEEE Press  Piscataway, NJ, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 15,   Citation Count: 3
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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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R. Burch, F. N. Najm, P. Yang, and T. Trick, "A Monte Carlo approach for power estimation," IEEE Trans. VLSI Systems, vol. 1, no. 1, pp. 63- 71, 1993.
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A. Hill, C.-C. Teng, and S.-M. Kang, "Simulation based maximum power estimation," 1996 Int. Syrup. Circuit and Systems.
 
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R. Hogg and A. Craig, Introduction to mathematical statistics, 5th ed. Englewood Cliffs, NJ: Prentice-Hall, 1995.
 
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