FuzzRoute:一种3D集成电路中无拥塞的热效率全局路由方法

Debashri Roy, P. Ghosal, S. Mohanty
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引用次数: 1

摘要

在三维集成电路的布局中,高集成度的互连、更近距离的模块和路由阶段是关键。基于启发式的方法通常用于处理三维集成电路中全局路由的NP完全问题。为了克服确定性方法固有的局限性,提出了一种基于模糊逻辑的多目标全局路由方法。在布线过程中利用定位阶段后产生的引导信息,利用模糊专家系统实现热效率和无拥塞的路由。基于所提出的算法设计了完整的全局路由方案,并与已建立的全局路由器Labyrinth、FastRoute3.0、NTHU-R、BoxRouter 2.0和FGR进行了比较。实验是在ISPD基准上进行的。所提出的路由器FuzzRoute在路由可达性、运行时间和无线长度方面实现了平衡优势。Labyrinth、BoxRouter 2.0和FGR的路由时间改进率分别为91.81%、86.87%和32.16%。值得注意的是,虽然FastRoute3.0实现了最快的运行时间,但它并不能为所有基准测试生成无拥塞的解决方案,这一点被本文提出的FuzzRoute所克服。FuzzRoute的无线长度也比其他路由分别提高了17.35%、2.88%、2.44%、2.83%和2.10%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FuzzRoute: A Method for Thermally Efficient Congestion Free Global Routing in 3D ICs
The high integration density interconnects, closerproximity of modules, and the routing phase are pivotal during the layout of 3D ICs. Heuristic based approaches are typically used to handle such NP complete problems of global routing in 3D ICs. To overcome the inherent limitations of deterministic approaches a novel methodology for multi-objective global routing based on fuzzy logic has been proposed in this paper. The guiding information generated after the placement phase is used during routing with the help of a Fuzzy Expert System to achieve thermal efficient and congestion free routing. A complete global routing solution is designed based on the proposed algorithms and the results are compared with selected fully-established global routers viz. Labyrinth, FastRoute3.0, NTHU-R, BoxRouter 2.0, and FGR. Experiments are performed over ISPD benchmarks. The proposed router called FuzzRoute achieves balanced superiority in terms of routability, runtime, and wirelength over others. The improvements on routing time for Labyrinth, BoxRouter 2.0, and FGR are 91.81%, 86.87%, and 32.16%, respectively. It may be noted that though FastRoute3.0 achieves fastest runtime, it fails to generate congestion free solutions for all benchmarks, which is overcome by the proposed FuzzRoute of the current paper. FuzzRoute also shows wirelength improvements of 17.35%, 2.88%, 2.44%, 2.83%, and 2.10% respectively over others.
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