Best Response Dynamics for VLSI Physical Design Placement

M. Rapoport, Tami Tamir
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引用次数: 1

Abstract

The physical design placement problem is one of the hardest and most important problems in micro chips production. The placement defines how to place the electrical components on the chip. We consider the problem as a combinatorial optimization problem, whose instance is defined by a set of 2-dimensional rectangles, with various sizes and wire connectivity requirements. We focus on minimizing the placement area and the total wire-length.We propose a local-search method for coping with the problem, based on natural dynamics common in game theory. Specifically, we suggest to perform variants of Best-Response Dynamics (BRD). In our method, we assume that every component is controlled by a selfish agent, who aim at minimizing his individual cost, which depends on his own location and the wire-length of his connections.We suggest several BRD methods, based on selfish migrations of a single or a cooperative of components. We performed a comprehensive experimental study on various test-benches, and compared our results with commonly known algorithms, in particular, with simulated annealing. The results show that selfish local-search, especially when applied with cooperatives of components, may be beneficial for the placement problem.
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超大规模集成电路物理设计放置的最佳响应动力学
在微芯片生产中,物理设计放置问题是最困难也是最重要的问题之一。放置定义了如何将电子元件放置在芯片上。我们认为该问题是一个组合优化问题,其实例由一组二维矩形定义,这些矩形具有不同的尺寸和连接要求。我们专注于最小化放置面积和总导线长度。我们提出了一种基于博弈论中常见的自然动力学的局部搜索方法来解决这个问题。具体来说,我们建议执行最佳反应动力学(BRD)的变体。在我们的方法中,我们假设每个组件都由一个自私的代理控制,他的目标是最小化他的个人成本,这取决于他自己的位置和他的连接的电线长度。我们提出了几种基于单个或多个组件的自迁移的BRD方法。我们在各种测试台上进行了全面的实验研究,并将我们的结果与已知的算法进行了比较,特别是与模拟退火进行了比较。结果表明,自私的局部搜索,特别是在组件协作的情况下,可能有利于定位问题的解决。
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