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An efficient routing tree construction algorithm with buffer insertion, wire sizing, and obstacle considerations

机译:一种有效的路由树构造算法,其中考虑了缓冲区插入,导线尺寸和障碍物的考虑

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In this paper, we propose a fast algorithm to construct a performance-driven routing tree with simultaneous buffer insertion and wire sizing in the presence of wire and buffer obstacles. Recently, several algorithms have been published addressing the routing tree construction problem. However, all these algorithms are slow and not scalable. In this paper, we propose an algorithm which is fast and scalable with problem size. The main idea of our approach is to specify some important high-level features of the whole routing tree so that it can be broken down into several components. We apply stochastic search to find the best specification. Since we need very few high-level features, the size of stochastic search space is small and can be searched in very little time. The solutions for the components are either pre-generated and stored in lookup tables, or generated by extremely fast algorithms whenever needed. Since it is efficient to obtain solutions for components, it is also efficient to construct and evaluate the whole routing tree for each specification. Experimental results show that, for trees of moderate size, our algorithm out performs the previous algorithms in both quality and runtime.
机译:在本文中,我们提出了一种快速算法,该算法可在存在导线和缓冲障碍物的情况下,构造具有性能驱动的路由树,同时进行缓冲区插入和导线尺寸调整。最近,已经发布了几种解决路由树构造问题的算法。但是,所有这些算法都很慢且不可扩展。在本文中,我们提出了一种快速且可扩展且具有问题大小的算法。我们方法的主要思想是指定整个路由树的一些重要的高级功能,以便可以将其分解为几个组件。我们进行随机搜索以找到最佳规格。由于我们只需要很少的高级功能,因此随机搜索空间很小,可以在很短的时间内进行搜索。组件的解决方案既可以预先生成并存储在查找表中,也可以在需要时通过极快的算法生成。由于获取组件的解决方案很有效,因此为每个规范构造和评估整个路由树也很有效。实验结果表明,对于中等大小的树木,我们的算法在质量和运行时间上均优于以前的算法。

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