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首页> 外文期刊>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems >Two novel multiway circuit partitioning algorithms using relaxed locking
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Two novel multiway circuit partitioning algorithms using relaxed locking

机译:使用松弛锁定的两种新颖的多路电路划分算法

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All the previous Kernighan-Lin-based (KL-based) circuit partitioning algorithms employ the locking mechanism, which enforces each cell to move exactly once per pass. In this paper, we propose two novel approaches for multiway circuit partitioning to overcome this limitation. Our approaches allow each cell to move more than once. Our first approach still uses the locking mechanism but in a relaxed way. It introduces the phase concept such that each pass can include more than one phase, and a phase can include at most one move of each cell. Our second approach does not use the locking mechanism at all. It introduces the mobility concept such that each cell can move as freely as allowed by its mobility. Each approach leads to KL-based generic algorithms whose parameters can be set to obtain algorithms with different performance characteristics. We generated three versions of each generic algorithm and evaluated them on a subset of common benchmark circuits in comparison with Sanchis' algorithm (FMS) and the simulated annealing algorithm (SA). Experimental results show that our algorithms are efficient, they outperform FMS significantly, and they perform comparably to SA. Our algorithms perform relatively better as the number of parts in the partition increases as well as the density of the circuit decreases. This paper also provides guidelines for good parameter settings for the generic algorithms.
机译:以前所有基于Kernighan-Lin(基于KL)的电路分区算法都采用了锁定机制,该机制强制每个单元每遍准确移动一次。在本文中,我们提出了两种新颖的多路电路分区方法,以克服这一局限性。我们的方法允许每个单元移动一次以上。我们的第一种方法仍然使用锁定机制,但以一种轻松的方式。它介绍了阶段概念,以便每个遍可包含一个以上的阶段,并且一个阶段最多可包含每个单元格的一个动作。我们的第二种方法根本不使用锁定机制。它引入了移动性概念,以便每个单元都可以在其移动性允许的范围内自由移动。每种方法都会导致基于KL的通用算法,可以对其参数进行设置以获得具有不同性能特征的算法。我们生成了每种通用算法的三个版本,并与Sanchis算法(FMS)和模拟退火算法(SA)进行了比较,并在一组通用基准电路上进行了评估。实验结果表明,我们的算法是有效的,它们的性能明显优于FMS,并且性能与SA相当。随着分区中零件数量的增加以及电路密度的降低,我们的算法的性能相对更好。本文还为通用算法的良好参数设置提供了指导。

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