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Efficient multi-layer obstacle-avoiding preferred direction rectilinear Steiner tree construction

机译:高效的多层障碍 - 避免优选的方向直线静脉树施工

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Constructing rectilinear Steiner trees for signal nets is a very important procedure for placement and routing because we can use it to find topologies of nets and measure the design quality. However, in modern VLSI designs, pins are located in multiple routing layers, each routing layer has its own preferred direction, and there exist numerous routing obstacles incurred from IP blocks, power networks, pre-routed nets, etc, which make us need to consider multilayer obstacle-avoiding preferred direction rectilinear Steiner minimal tree (ML-OAPDRSMT) problem. This significantly increases the complexity of the problem, and an efficient and effective algorithm to deal with the problem is desired. In this paper, we propose a very simple and effective approach to deal with ML-OAPDRSMT problem. Unlike previous works usually build a spanning graph and find a spanning tree to deal with this problem, which takes a lot of time, we first determine a connection ordering for all pins, and then iteratively connect every two neighboring pins by a greedy heuristic algorithm. The experimental results show that our method has average 5.78% improvement over and at least five times speed up comparing with their approach.
机译:为信号网构建直线静脉树是一个非常重要的放置和路由程序,因为我们可以使用它来找到网的拓扑并测量设计质量。但是,在现代VLSI设计中,引脚位于多个路由层中,每个路由层都有自己的首选方向,并且存在许多从IP块,电网,预路由网等产生的路由障碍,使我们需要考虑多层障碍物 - 避免优选的方向直线静脉最小树(ML-OAPDRSMT)问题。这显着提高了问题的复杂性,并且需要一种有效和有效的算法来处理问题。在本文中,我们提出了一种非常简单有效的方法来处理ML-OAPDRSMT问题。与以前的作品不同,通常构建一个生成的图形并找到一个生成树来处理这个问题,这需要很多时间,我们首先确定所有引脚的连接排序,然后通过贪婪的启发式算法迭代地连接每个两个相邻的引脚。实验结果表明,我们的方法平均改善了5.78%,与其方法相比,至少有五倍的加速。

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