CHEN Jie, TONG Dong, LI Xianfeng, et al., “Slice Analysis Based Bayesian Power Model forSequential Circuits,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 107-112, 2010,
Citation:
CHEN Jie, TONG Dong, LI Xianfeng, et al., “Slice Analysis Based Bayesian Power Model forSequential Circuits,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 107-112, 2010,
CHEN Jie, TONG Dong, LI Xianfeng, et al., “Slice Analysis Based Bayesian Power Model forSequential Circuits,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 107-112, 2010,
Citation:
CHEN Jie, TONG Dong, LI Xianfeng, et al., “Slice Analysis Based Bayesian Power Model forSequential Circuits,” Chinese Journal of Electronics, vol. 19, no. 1, pp. 107-112, 2010,
Bayesian modeling method and slice anal- ysis techniques show good e®ect in cycle-accurate power analysis of combinational circuit. In this paper, we use vir- tual signal logical depth assignment to resolve the problem that signal loop can not be sliced in sequential circuits. With this method, we build cycle-accurate power model based on Bayesian inference and slice analysis techniques. The experiments on ISCAS89 benchmark show that the power-per-cycle estimation error is 6.7%. By analyzing the relation between error trend under di®erent slices and cir- cuit's size, we also build a thumb rule about how to choose best slice number: when the accumulative gate number is about 73% of total gate number, the model error with slice-based parameters usually arrives minimum value.