Efficient logic optimization using regularity extraction

Thomas Kutzschebauch
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引用次数: 22

Abstract

This paper presents a new method to extract functionally structures from logic netlists. It uses a fast regularity extraction algorithm based on structural equivalence. The goal of the proposed algorithm is the speedup of logic optimization of large circuits by reusing functionally equivalent structures of the design. It is particularly suited for circuits containing a large amount of datapaths. The regularity extraction algorithm uses an AND/XOR representation of the netlist to allow high correlation of functional and structural equivalence. It then extracts regular structures which can take any possible shape. The final optimization task is greatly reduced by optimizing only one copy of each regular structure while reusing the result for all other occurrences. In addition, structural regularity is widely preserved, resulting in higher packing density, shorter wiring length and improved delay during physical layout.
使用规则提取的高效逻辑优化
提出了一种从逻辑网表中提取功能结构的新方法。它采用了一种基于结构等价的快速规则提取算法。该算法的目标是通过重用设计的功能等效结构来加速大型电路的逻辑优化。它特别适合于包含大量数据路径的电路。规则提取算法使用与异或表示的网表,以允许功能和结构等价的高度相关性。然后,它可以提取出任何可能形状的规则结构。通过只优化每个规则结构的一个副本,同时对所有其他出现的结果重用,最终的优化任务大大减少。此外,结构的规律性得到了广泛的保留,从而提高了封装密度,缩短了布线长度,改善了物理布局时的延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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