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FH-OAOS: A Fast Four-Step Heuristic for Obstacle-Avoiding Octilinear Steiner Tree Construction

机译:FH-OAOS:避免障碍的八线性斯坦纳树构造的快速四步启发法

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摘要

With the sharp increase of very large-scale integrated (VLSI) circuit density, we are faced with many knotty issues. Particularly in the routing phase of VLSI physical design, the interconnection effects directly relate to the final performance of circuits. However, the optimization capability of traditional rectilinear architecture is limited; thus, both academia and industry have been devoted to nonrectilinear architecture in recent years, especially octilinear architecture, which is the most promising because it can greatly improve the performance of modern chips. In this article, we design FH-OAOS, an obstacle-avoiding algorithm in octilinear architecture, by constructing an obstacle-avoiding the octilinear Steiner minimal tree (OAOSMT). Our approach first constructs an obstacle-free Euclidean minimal spanning tree (OFEMST) on the given pins based on Delaunay triangulation (DT). Then, two lookup tables about OFEMST's edge are generated, which can be seen as the information center of FH-OAOS and can provide information support for algorithm operation. Next, an efficient obstacle-avoiding strategy is proposed to convert the OFEMST into an obstacle-avoiding octilinear Steiner tree (OAOST). Finally, the generated OAOST is refined to construct the final OAOSMT by applying three effective strategies. Experimental results on various benchmarks show that FH-OAOS achieves 66.39 times speedup on average, while the average wirelength of the final OAOSMT is only 0.36% larger than the best existing solution.
机译:随着超大规模集成电路(VLSI)电路密度的急剧增加,我们面临许多棘手的问题。特别是在VLSI物理设计的布线阶段,互连效果直接与电路的最终性能有关。但是,传统直线架构的优化能力有限。因此,近年来学术界和工业界都致力于非直线体系结构,特别是八线性体系结构,因为它可以大大提高现代芯片的性能,因此是最有前途的。在本文中,我们通过构建避免障碍的八线性Steiner最小树(OAOSMT),设计了八边形体系结构的避障算法FH-OAOS。我们的方法首先基于Delaunay三角剖分(DT)在给定的引脚上构造无障碍的欧几里德最小生成树(OFEMST)。然后,生成两个关于OFEMST边缘的查找表,可以将其视为FH-OAOS的信息中心,并可以为算法操作提供信息支持。接下来,提出了一种有效的避障策略,将OFEMST转换为避障八线性Steiner树(OAOST)。最后,通过应用三种有效策略对生成的OAOST进行优化,以构建最终的OAOSMT。在各种基准上的实验结果表明,FH-OAOS的平均速度提高了66.39倍,而最终OAOSMT的平均线长仅比现有最佳解决方案大0.36%。

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