提高再合成的迭代能力

P. Fiser, Jan Schmidt
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引用次数: 9

摘要

本文提出了一种提高布尔网络重合成迭代能力的方法。原则上,它是基于网络部分的迭代再合成,而不是作为一个整体来处理网络。零件是随机选择的,因此引入了更多的可变性。这个过程是可扩展的,至少和最先进的技术一样。我们表明,我们的方法比学术上最先进的ABC工具表现得更好。这是在LGSynth'93基准电路上进行的大量实验记录的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the iterative power of resynthesis
We present a method of improving the iterative power of resynthesis of Boolean networks in this paper. In principle it is based on iterative resynthesis of parts of the network, instead of processing the network as a whole. The parts are randomly selected, thus more variability is introduced. The process is scalable, at least as much as the state-of-the-art. We show that our method performs better than the academic state-of-the-art, the ABC tool from Berkeley. This is documented by extensive experiments on LGSynth'93 benchmark circuits.
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