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Improving two-level logic minimization technique for low power driven multilevel logic re-synthesis

机译:改进的两级逻辑最小化技术,以实现低功耗驱动的多级逻辑重新合成

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In this paper, we revisit the two-level logic minimization technique for low power driven multi-level logic resynthesis. It extended the algorithms used in ESPRESSO, by adding the heuristics that bias the minimization toward lowering the power dissipation in the circuit. Though the method showed good results, it did not consider the non-linear change of the cube activity that happens as the cube is expanded/reduced by eliminating/adding some literals. In this paper, for the first time in our knowledge, we show the above problem of the previous method and propose the methods to solve it. The experimental results show the validity of our proposed methods.
机译:在本文中,我们将重新审视两级逻辑最小化技术,以实现低功耗驱动的多级逻辑再合成。它通过添加启发式方法扩展了ESPRESSO中使用的算法,这些启发式方法将最小化偏向于降低电路的功耗。尽管该方法显示出良好的结果,但并未考虑通过消除/添加一些文字来扩展/缩小多维数据集时发生的多维数据集活动的非线性变化。在本文中,就我们所知,这是我们第一次展示出先前方法的上述问题,并提出了解决该问题的方法。实验结果表明了所提方法的有效性。

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