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Multi-level optimisation of fixed polarity Reed-Muller expansions using Reed-Muller binary decision diagrams

机译:使用Reed-Muller二进制决策图对固定极性Reed-Muller展开进行多级优化

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The Reed-Muller binary decision diagram (RMBDD) is an alternative way of representing generalised Reed-Muller (GRM) expansions. This graphical representation provides a complete canonical description of GRM functions and is a counterpart of the well-known Boolean binary decision diagram. The structure of RMBDDs and rules for reducing the size of the diagrams are described in this paper; additionally, ordered RMBDDs are introduced. An algorithm which determines a good variable order without performing an exhaustive search is described. The physical implementations of the RMBDDs using RM-ULMs and at gate level are also discussed in this paper.
机译:Reed-Muller二进制决策图(RMBDD)是表示广义Reed-Muller(GRM)扩展的一种替代方法。此图形表示形式提供了GRM功能的完整规范描述,并且是众所周知的布尔二进制决策图的对应形式。本文描述了RMBDDs的结构和缩小图的大小的规则。此外,还引入了订购的RMBDD。描述了在不执行穷举搜索的情况下确定良好的变量顺序的算法。本文还讨论了使用RM-ULM以及门级的RMBDDs的物理实现。

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