An implicit connection graph maze routing algorithm for ECO routing

J. Cong, Jie Fang, Kei-Yong Khoo
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引用次数: 60

Abstract

ECO routing is a very important design capability in advanced IC, MCM and PCB designs when additional routings need to be made at the latter stage of the physical design. ECO is difficult in two aspects: first, there are a large number of existing interconnects which become obstacles in the region. A hierarchical approach is not applicable in this situation, and we need to search a large, congested region thoroughly. Second, advances in circuit designs require variable width and variable spacing on interconnects. Thus, a gridless routing algorithm is needed. We propose to use an implicit representation of a non-uniform grid graph for a gridless maze routing algorithm. A novel slit-tree plus interval-tree data structure is developed, combined with a cache structure, to support efficient queries into the connection graph. Our experiments show that this data structure is very small in memory usage while very fast in answering maze expansion related queries. This makes the framework very useful in the ECO type of routing.
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一种用于ECO路由的隐式连接图迷宫路由算法
在高级IC、MCM和PCB设计中,当需要在物理设计的后期进行额外的布线时,ECO布线是一种非常重要的设计能力。ECO的难点在于两个方面:一是现有的大量互联成为区域内的障碍。在这种情况下,分层方法是不适用的,我们需要彻底搜索一个大的、拥挤的区域。其次,电路设计的进步要求在互连上可变宽度和可变间距。因此,需要一种无网格路由算法。我们提出使用非均匀网格图的隐式表示来实现无网格迷宫路由算法。为了支持对连接图的高效查询,开发了一种新的裂缝树+间隔树数据结构,并结合缓存结构。我们的实验表明,这种数据结构在内存使用方面非常小,而在回答迷宫扩展相关查询方面非常快。这使得该框架在ECO类型的路由中非常有用。
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