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Power sensitivity—a new method to estimate power dissipation considering uncertain specifications of primary inputs
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Source International Conference on Computer Aided Design archive
Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design table of contents
San Jose, California, United States
Pages: 40 - 44  
Year of Publication: 1997
ISBN:0-8186-8200-0
Authors
Zhanping Chen  Electrical Engineering, Purdue University, W. Lafayette, IN
Kaushik Roy  Electrical Engineering, Purdue University, W. Lafayette, IN
Tan-Li Chou  Intel Corporation, Technology Department, Beaverton, OR
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
IEEE-CS : Computer Society
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Citation Count: 11
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ABSTRACT

Power dissipation in CMOS circuits heavily depends on the signal properties of the primary inputs. Due to uncertainties in specification of such properties, the average power should be specified between a maximum and a minimum possible value. Due to the complex nature of the problem, it is practically impossible to use traditional power estimation techniques to determine such bounds. We present a novel approach to accurately estimate the maximum and minimum bounds for average power using a technique which calculates the sensitivities of average power dissipation to primary input signal properties. The sensitivities are calculated using a novel statistical technique and can be obtained as a by-product of average power estimation using a Monte Carlo based approach. The signal properties are specified in terms of signal probability (probability of a signal being logic ONE) and signal activity (probability of signal switching). Results show that the maximum and minimum average power dissipation can vary widely if the primary input probabilities and activities are not specified accurately.


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.

 
1
R.Burch, F.Najm, P.Yang and T.Trick, "A Monte Carlo Approach for Power Estimation", IEEE Trans. VLSI Systems, Vol.1, No. 1, pp. 63-71, March, 1993.
 
2
Z. Chen, K. Roy, and T.-L. Chou, "Sensitivity of Power Dissipation to Uncertainties in Primary Input Specification," Custom Integrated Circuits Conference, pp. 487-490, 1997.
 
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CITED BY  11
 
 
 
 

Collaborative Colleagues:
Zhanping Chen: colleagues
Kaushik Roy: colleagues
Tan-Li Chou: colleagues