A Monte Carlo approach for maximum power estimation based onextreme value theory
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John N. Avaritsiotis | Nestoras E. Evmorfopoulos | Georgios I. Stamoulis | J. Avaritsiotis | G. Stamoulis | N. Evmorfopoulos
[1] J. Pickands. Statistical Inference Using Extreme Order Statistics , 1975 .
[2] Kaushik Roy,et al. Maximum power estimation for CMOS circuits under arbitrary delay model , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.
[3] Kaushik Roy,et al. Maximum power estimation for CMOS circuits using deterministic and statistical approaches , 1998, IEEE Trans. Very Large Scale Integr. Syst..
[4] Ping Yang,et al. A Monte Carlo approach for power estimation , 1993, IEEE Trans. Very Large Scale Integr. Syst..
[5] Richard L. Smith. Maximum likelihood estimation in a class of nonregular cases , 1985 .
[6] Ibrahim N. Hajj,et al. Pattern independent maximum current estimation in power and ground buses of CMOS VLSI circuits: Algorithms, signal correlations, and their resolution , 1995, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..
[7] Sidney I. Resnick,et al. Tail equivalence and its applications , 1971, Journal of Applied Probability.
[8] R. Fletcher. Practical Methods of Optimization , 1988 .
[9] Massoud Pedram,et al. Power minimization in IC design: principles and applications , 1996, TODE.
[10] Georgios I. Stamoulis. A Monte-Carlo approach for the accurate and efficient estimation of average transition probabilities in sequential logic circuits , 1996, Proceedings of Custom Integrated Circuits Conference.
[11] J. D. T. Oliveira,et al. The Asymptotic Theory of Extreme Order Statistics , 1979 .
[12] Kwang-Ting Cheng,et al. Vector generation for maximum instantaneous current through supply lines for CMOS circuits , 1997, DAC.
[13] Ronald L. Wasserstein,et al. Monte Carlo: Concepts, Algorithms, and Applications , 1997 .
[14] Yi-Min Jiang,et al. Estimation of maximum power and instantaneous current using a genetic algorithm , 1997, Proceedings of CICC 97 - Custom Integrated Circuits Conference.
[15] Massoud Pedram,et al. Maximum power estimation using the limiting distributions of extreme order statistics , 1998, DAC.
[16] A. M. Hasofer,et al. A Test for Extreme Value Domain of Attraction , 1992 .
[17] Kwang-Ting Cheng,et al. Exact and approximate estimation for maximum instantaneous current of CMOS circuits , 1998, Proceedings Design, Automation and Test in Europe.
[18] Kaushik Roy,et al. COSMOS: a continuous optimization approach for maximum power estimation of CMOS circuits , 1997, ICCAD 1997.
[19] Enrique Castillo. Extreme value theory in engineering , 1988 .
[20] J. N. Avaritsiotis,et al. A new statistical method for maximum power estimation in CMOS VLSI circuits , 2000 .
[21] Peter Hall,et al. On Estimating the Endpoint of a Distribution , 1982 .
[22] Massoud Pedram,et al. Statistical estimation of the cumulative distribution function for power dissipation in VLSI cirucits , 1997, DAC.
[23] Roger Fletcher,et al. Practical methods of optimization; (2nd ed.) , 1987 .
[24] G. J. Hahn,et al. Statistical models in engineering , 1967 .
[25] Yurij G. Evtushenko,et al. Numerical Optimization Techniques , 1985 .
[26] Sung-Mo Kang,et al. Simulation-based maximum power estimation , 1996, 1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96.
[27] Neil Weste,et al. Principles of CMOS VLSI Design , 1985 .
[28] Connie M. Borror,et al. A Course in Mathematical Statistics, 2nd Ed. , 2000 .