Improving the accuracy of support-set finding method for power estimation of combinational circuits

Proceedings European Design and Test Conference. ED & TC 97 Pub Date : 1997-03-17 DOI:10.1109/EDTC.1997.582411

Hoon Choi, S. Hwang

引用次数: 5

Abstract

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.

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提高组合电路功率估计中支持集查找方法的精度

我们提出了一种提高基于概率的组合电路功率估计的支持集查找方法的准确性的方法。为了处理大型电路，已经提出了构建本地bdd的支持集查找方法。然而，由于它们只考虑了浅层再收敛，因此精度不够，无法用于功率优化。为了解决这一问题，我们提出了一种新的算法——羽毛算法，该算法能够以100%的再收敛节点检测率高效地检测最小支持集。实验结果表明，该方法对总功率的平均误差为0.1%，对节点特定功率的平均误差为1.6%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings European Design and Test Conference. ED & TC 97

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