M. Pedram, "Power simulation and estimation in VLSI circuits," The VLSI Handbook, Edited by W-K. Chen. The CRC Press and the IEEE Press, 1999. (Available at http://atrak.usc.edu/ massoud) Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Optimum Probability Model Selection Using Akaike's.. - Chandramouli.. (Correct)
....population pruning and stratified random sampling [3, 4] The authors choose the number of components in the probability distribution of the simulated power data arbitrarily. However, this may not be optimal. An overview of the various state of the art power estimation techniques can be found in [6]. Mixture probability density function Average power 1 2 3 Figure 1: A normal mixture density with three components Most of the methods discussed so far assume a normal probability distribution for the power consumption of the circuits. It is justified to a large extent by the central ....
M. Pedram, "Power simulation and estimation in VLSI circuits," The VLSI Handbook, Edited by W-K. Chen. The CRC Press and the IEEE Press, 1999. (Available at http://atrak.usc.edu/ massoud)
On Mixture Density and Maximum Likelihood Power.. - Chandramouli, Srikantam (2000) (Correct)
....computational eciency. Order statistics are used to handle a circuit with any power distribution. But this technique may lead to over sampling. Power estimation for sequential circuits is complicated due to the presence of feedbacks. Some of the works that discuss this problem can be found in [6] [9]. These show that the proper choice of initial states and the length of the warm up period of Monte Carlo method give accurate estimates. An overview of the various state of the art power estimation techniques can be found in [9] Most of the methods discussed so far assume normality for the ....
....Some of the works that discuss this problem can be found in [6] 9] These show that the proper choice of initial states and the length of the warm up period of Monte Carlo method give accurate estimates. An overview of the various state of the art power estimation techniques can be found in [9]. Most of the methods discussed so far assume normality for the probability distribution of the power consumption of the circuits. It is justi ed to a large extent by the central limit theorem and a excessive simulation of various kinds of circuits. Unfortunately, this may not be the case in many ....
M. Pedram, \Power simulation and estimation in VLSI circuits," The VLSI Handbook, Edited by W-K. Chen. The CRC Press and the IEEE Press, 1999. (Available at http://atrak.usc.edu/ massoud)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC