Estimation of average switching activity in combinational and sequential circuits
DAC '92 Proceedings of the 29th ACM/IEEE Design Automation Conference
Improving the accuracy of circuit activity measurement
DAC '94 Proceedings of the 31st annual Design Automation Conference
Accurate estimation of combinational circuit activity
DAC '95 Proceedings of the 32nd annual ACM/IEEE Design Automation Conference
Sequential Circuit Design Using Synthesis and Optimization
ICCD '92 Proceedings of the 1991 IEEE International Conference on Computer Design on VLSI in Computer & Processors
Probabilistic Bottom-Up RTL Power Estimation
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
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We address a way to improve the accuracy of support-set finding method for a probability-based power estimation of combinational circuits. Support-set finding methods to build local BDDs have been proposed to handle large circuits. However, because they consider only the shallow reconvergence, they are not accurate enough to be used in the power optimization. To solve this problem, we propose a new algorithm, Feather algorithm, which can efficiently detect minimal support-set with 100% reconvergent node detection rate. The experimental results show that the average error of our proposed method is 0.1% for the total power and 1.6% for the node-specific power.