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首页> 外文期刊>ACM Journal on Emerging Technologies in Computing Systems >An Improved Reversible Circuit Synthesis Approach using Clustering of ESOP Cubes
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An Improved Reversible Circuit Synthesis Approach using Clustering of ESOP Cubes

机译:利用ESOP多维数据集聚的改进的可逆电路综合方法

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摘要

The problem of reversible logic synthesis has drawn the attention of many researchers over the last two decades with growing emphasis on low-power design. Among the various synthesis approaches that have been reported, the ones based on compact circuit representations like Binary Decision Diagrams (BDD) and Exclusive-or Sum-Of-Products (ESOP) are interesting in the sense that they can handle large circuits with more than 100 inputs. The drawback of these approaches, however, is that the generated netlists are sub-optimal, and there is lot of scope for optimizing them. One of the best methods in this regard is an approach, where the ESOP cubes are grouped into sublists based on sharing among more than one outputs. In the work reported in this article, in contrast, an approach based on clustering the ESOP cubes based on their similarity with respect to input variables is presented, along with a technique to map each of the clusters into reversible gate netlists. This approach results in a significant reduction in quantum cost of the final netlist, but requires one additional garbage line. Experimental results on a number of reversible circuit benchmarks have been presented in support of the claim and also demonstrate that the method is very fast.
机译:在过去的二十年中,可逆逻辑综合问题引起了许多研究人员的关注,并且越来越重视低功耗设计。在已报告的各种综合方法中,基于紧凑型电路表示法(例如二元决策图(BDD)和“异或积和”(ESOP))的方法很有趣,因为它们可以处理具有100个输入。但是,这些方法的缺点是生成的网表不是最佳的,并且有很多优化它们的空间。这方面最好的方法之一是根据多个输出之间的共享将ESOP多维数据集分组为子列表。相反,在本文报道的工作中,提出了一种基于ESOP多维数据集基于它们与输入变量的相似性进行聚类的方法,以及将每个聚类映射到可逆门网表的技术。这种方法可以显着降低最终网表的量子成本,但需要增加一条垃圾回收线。为了支持权利要求,已经提出了在许多可逆电路基准上的实验结果,并且还证明了该方法非常快。

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