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Disjoint Clustering in Combinatorial Circuits

机译:组合电路中的不相交聚类

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As the modern integrated circuit continues to grow in complexity, the design of very large-scale integrated (VLSI) circuits involves massive teams employing state-of-the-art computer-aided design (CAD) tools. An old, yet significant CAD problem for VLSI circuits is physical design automation. In this problem, one needs to compute the best physical layout of millions to billions of circuit components on a tiny silicon surface. The process of mapping an electronic design to a chip involves several physical design stages, one of which is clustering. Even for combinatorial circuits, there exists several models for the clustering problem. In particular, our primary consideration is the problem of disjoint clustering in combinatorial circuits for delay minimization (CN). The problem of clustering with replication for delay minimization has been well-studied and known to be solvable in polynomial time. However, replication can become expensive when it is unbounded. Consequently, CN is a problem worth investigating. We establish the computational complexities of several variants of CN. We also present a 2-approximation algorithm for an NP-hard variant of CN.
机译:随着现代集成电路复杂性的不断提高,超大规模集成电路(VLSI)的设计需要庞大的团队来采用先进的计算机辅助设计(CAD)工具。 VLSI电路的一个古老但重要的CAD问题是物理设计自动化。在这个问题中,人们需要在一个微小的硅表面上计算出数百万至数十亿个电路组件的最佳物理布局。将电子设计映射到芯片的过程涉及多个物理设计阶段,其中一个阶段是群集。即使对于组合电路,也存在几种用于聚类问题的模型。特别地,我们的主要考虑是组合电路中不相交簇的问题,以实现延迟最小化(CN)。对于延迟最小化使用复制进行聚类的问题已得到充分研究,并且可以在多项式时间内解决。但是,复制不受限制会变得很昂贵。因此,CN是一个值得研究的问题。我们建立了CN几个变体的计算复杂性。我们还提出了CN的NP-hard变体的2-近似算法。

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