In this paper, we present a statistical method for estimating the peak power dissipation in VLSI circuits. The method is based on the theory of extreme order statistics applied to the probabilistic distributions of the cycle-by-cycle power consumption, the maximum likelihood estimation, and the Monte-Carlo simulation.
It enables us to predict the maximum power in the space of constrained input vector pairs as well as the complete space of all possible input vector pairs. The simulation-based nature of the proposed method allows us to avoid the limitations of a gate-level delay model and a gate-level circuit structure.
Last, but not least, the proposed method produces maximum power estimates to satisfy user-specified error and confidence levels. Experimental results show that this method typically produces maximum power estimates within 5 % of the actual value and with a 90% confidence level by simulating less than 2500 input vectors.
Source: The Pennsylvania State University
Authors: Qing Wu, Qinru Qiu, Massoud Pedram
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