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Detailed-Routing Algorithms for Dense Pin Clusters in Integrated Circuits

机译:集成电路中密集引脚簇的详细路由算法

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摘要

As design complexities and circuit densities are increasing, the detailed-routing (DR) problem is becoming a more and more challenging problem. Due to the high complexity of DR algorithms, it is very important to start the routing process with clean solutions rather than starting with suboptimal routes and trying to fix them in an iterative process. In this paper, we propose an escape-routing algorithm that can optimize routing of a set of nets around their terminals. For this, we first propose a polynomial-time algorithm that guarantees to find the optimal escape-routing solution for a set of nets when the track structures are uniform. Then, we use this algorithm as a baseline and study the general problem with arbitrary track structures. For this, we propose a novel multicommodity-flow (MCF) model that has a one-to-one correspondence with the escape-routing problem. This MCF model is novel in the sense that the interdependence and contention between different flow commodities is minimal. Using this model, we propose a Lagrangian-relaxation-based algorithm to solve the escape problem. Our experiments demonstrate that this algorithm improves the overall routability significantly by reducing the number of nets that require rip-up and reroute.
机译:随着设计复杂度和电路密度的增加,详细布线(DR)问题正变得越来越具有挑战性。由于DR算法的高度复杂性,使用干净的解决方案开始路由过程而不是从次优路由开始并尝试在迭代过程中进行修复非常重要。在本文中,我们提出了一种逃生路由算法,该算法可以优化一组网络围绕其终端的路由。为此,我们首先提出一种多项式时间算法,该算法可以保证在轨道结构均匀时为一组网络找到最佳的逃生路线。然后,我们以该算法为基准,研究任意轨道结构的普遍问题。为此,我们提出了一种新颖的多商品流(MCF)模型,该模型与逃生路线问题具有一一对应的关系。从不同流量商品之间的相互依赖性和竞争性最小的意义上说,这种MCF模型是新颖的。使用该模型,我们提出了一种基于拉格朗日松弛的算法来解决逃生问题。我们的实验表明,该算法通过减少需要撕裂和重新路由的网络数量,显着提高了总体路由能力。

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