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Abstract

For digital CMOS circuits, the total power consumption is given by the following formula:

$$\begin{array}{rcl}{ P}_{\mathrm{total}} = {P}_{\mathrm{dyn}} + {P}_{\mathrm{short}} + {P}_{\mathrm{leakage}},& &\end{array}$$
(7.1)

in which P dyn, P short, and P leakage represent dynamic power, short-circuit power, and leakage power, respectively. Most of the previous works on power estimation either focus on dynamic power estimation[116, 10, 29, 28,64,30] or leakage power estimation[13, 95, 200, 158]. As technology scales down to nanometer ranges, the process-induced variability has huge impacts on the circuit performance[120]. Furthermore, many variational parameters in the practical chips in nanometer range are spatially correlated, which makes the computations even more difficult[195], and simple assumption of independence for involved random variables can lead to significant errors.

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Shen, R., Tan, S.XD., Yu, H. (2012). Statistical Total Power Estimation Techniques. In: Statistical Performance Analysis and Modeling Techniques for Nanometer VLSI Designs. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-0788-1_7

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