Integrated VLSI layout compaction and wire balancing on a shared memory multiprocessor: evaluation of a parallel algorithm

P. Chalasani, K. Thulasiraman, M. Corneau
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引用次数: 2

Abstract

We first present a unified formulation to three problems in VLSI physical design: layout compaction, wire balancing and integrated layout compaction and wire balancing problem. The aim of layout compaction is to achieve minimum chip width. Whereas wire balancing seeks to achieve minimum total wire length, integrated layout compaction and wire balancing seeks to minimize wire length maintaining the chip width at the optimum value. Our formulation is in terms of the dual transshipment problem. We then review our recent work on a parallel algorithm for the dual transshipment problem. We show how this algorithm called Modified Network Dual Simplex Method provides a unified approach to solve the three problems mentioned above and present experimental results. Our implementations have been on the BBN Butterfly machine. We draw attention to certain rather unusual results and argue that if the MNDS method is used then integrated layout compaction and wire balancing will achieve minimum chip width and a total wire length close to the optimum achieved by the wire balancing algorithm.<>
共享内存多处理器上集成VLSI布局压缩和线路平衡:一种并行算法的评估
我们首先对VLSI物理设计中的三个问题:布局压实、导线平衡以及集成布局压实和导线平衡问题提出了统一的表述。布局压缩的目的是实现最小的芯片宽度。而线平衡寻求实现最小的总线长度,集成布局压缩和线平衡寻求最小化线长度,保持芯片宽度在最佳值。我们的提法是针对双重转运的问题。然后,我们回顾了我们最近对双重转运问题的并行算法的研究。我们展示了这种被称为修正网络双单纯形法的算法是如何提供一个统一的方法来解决上述三个问题的,并给出了实验结果。我们的实现是在BBN Butterfly机器上实现的。我们提请注意某些相当不寻常的结果,并认为如果使用MNDS方法,则集成布局压缩和导线平衡将实现最小芯片宽度和总导线长度接近由导线平衡算法实现的最佳值。
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