基于顺序重合成的多输出函数的FPGA面积缩减

Yu Hu, Victor Shih, R. Majumdar, Lei He
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引用次数: 16

摘要

提出了一种新的FPGA面积缩减再合成算法。现有的再合成技术只考虑单输出布尔函数和电路的组合部分,与之相反,我们考虑了多输出函数和重新定时,并开发了有效的算法,该算法结合了基于sat的布尔匹配的最新改进。实验结果表明,在最优逻辑深度下,考虑多输出函数的再合成比考虑单输出函数的再合成面积减少0.4%,考虑多输出函数的顺序再合成比考虑组合再合成面积减少10%。此外,与现有最好的学术技术映射器Berrylikei ABC相比,我们提出的再合成算法将面积减少了16%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA area reduction by multi-output function based sequential resynthesis
We propose a new resynthesis algorithm for FPGA area reduction. In contrast to existing resynthesis techniques, which consider only single-output Boolean functions and the combinational portion of a circuit, we consider multi-output functions and retiming, and develop effective algorithms that incorporate recent improvements to SAT-based Boolean matching. Our experimental results show that with the optimal logic depth, the resynthesis considering multi-output functions reduces area by up to 0.4% compared to the one considering single-output functions, and the sequential resynthesis reduces area by up to 10% compared to combinational resynthesis when both consider multi-output functions. Furthermore, our proposed resynthesis algorithm reduces area by up to 16% compared to the best existing academic technology mapper, Berrylikei ABC.
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