角拼接符合B *树表示法及其在模拟物放置上的应用

Hui-Fang Tsao, Pang-Yen Chou, Shih-Lun Huang, Yao-Wen Chang, Mark Po-Hung Lin, Duan-Ping Chen, Dick Liu
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引用次数: 22

摘要

现代电路布置,特别是模拟布置,往往需要考虑各种约束,如对称、邻近、预置、变型、固定边界、最小分离、边界和固定轮廓约束,以获得更好的电气效果和更高的性能。为了处理这些不同的约束,拓扑平面表示被广泛使用,因为它们具有更高的灵活性和更小的解决方案空间。然而,由于它们在直接从表示本身派生模块邻接信息方面的内在局限性,它们可能会在处理相关约束时遇到困难。在本文中,我们研究B∗-树,它已被证明是最有效和最有效的地板计划/放置问题,并提出一个角拼接兼容的B∗-树(简称cb -树)来弥补其模块邻接处理中的重大缺陷。cb树是一种B *树,它集成了改进的角缝,以提供更高的灵活性/效率,特别是在相邻模块识别/封装方面。与以往的工作相比,在上述约束条件下,cb树可以实现最小的模块打包时间复杂度。实验结果表明,对于具有多种约束条件的工业设计,cb树具有最佳的解质量和最少的运行时间。特别是,我们的工作提供了处理具有拓扑表示的综合放置约束的关键见解。
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A corner stitching compliant B∗-tree representation and its applications to analog placement
Modern circuit placement, especially analog placement, often needs to consider various constraints, such as symmetry, proximity, preplaced, variant, fixed-boundary, minimum separation, boundary, and fixed-outline constraints, for better electrical effects and higher performance. To handle these diverse constraints, topo-logical floorplan representations are pervasively used because of their higher flexibility and smaller solution space. Due to their intrinsic limitation in deriving module adjacency information directly from the representations themselves, however, they might incur difficulties in handling related constraints. In this paper, we work on B∗-trees, which have been shown to be most effective and efficient for floor-plan/placement problems, and present a corner stitching compliant B∗-tree (CB-tree, for short) to remedy the significant deficiency in its module adjacency handling. A CB-tree is a B∗-tree integrated with modified corner stitching to offer much higher flexibility/efficiency, especially for adjacent module identification/packing. Compared with the previous works, CB-trees can achieve the lowest time complexity for module packing with the aforementioned constraints. Experimental results show that the CB-trees achieve the best solution quality and consume the least running time for industrial designs with various constraints. In particular, our work provides key insights into the handling of comprehensive placement constraints with a topological representation.
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