Lp. Yuan et al., STATISTICAL ESTIMATION OF AVERAGE POWER DISSIPATION USING NONPARAMETRIC TECHNIQUES, IEEE transactions on very large scale integration (VLSI) systems, 6(1), 1998, pp. 65-73
In this paper,(1) we present a new statistical technique for estimatio
n of average power dissipation in digital circuits. The present parame
tric statistical technique estimates the average power based on the as
sumption that the power distribution can be characterized by a preassu
med function. Large error can incur when the assumption is not met. On
the other hand, the existing nonparametric technique, although accura
te, is too conservative and requires a large sample size in order to a
chieve convergence. For a good tradeoff between simulation accuracy an
d computational efficiency, we propose a new nonparametric technique u
sing the properties of the order statistics. It is generally applicabl
e to any type of circuit irrespective of its power distribution functi
on. Compared to the existing nonparametric technique, it is much more
computationally efficient since it requires a much smaller sample size
to achieve the same accuracy specification. This new technique is imp
lemented in the distribution-independent power estimation tool (DIPE).
DIPE is empirically demonstrated to be more robust and accurate than
the parametric technique.