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An efficient heuristic force directed placement algorithm based on partitioning

机译:一种基于分区的高效启发式力定向放置算法

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摘要

An efficient heuristic force directed placement algorithm based on partitioning is proposed for very large-scale circuits. Our heuristic force directed approach provides a more efficient cell location adjustment scheme for iterative placement optimization than the force directed relaxation (FDR) method. We apply hierarchical partitioning based on a new parallel clustering technique to decompose circuit into several level sub-circuits. During the partitioning phase, a similar technique to 'terminal propagation' was introduced so as to maintain the external connections that affect cell adjustment in sub-circuit. In these lowest level sub-circuits, the heuristic force directed algorithm is used to perform iterative placement optimization. Then each pair of sub-circuits resulted from bisection combine into a larger one, in which cells are located as the best placement state of either sub-circuits. The bottom-up combination is done successively until back to the original circuit, and at each combination level the heuristic force directed placement algorithm is used to further improve the placement quality. A set of MCNC ( Microelectronics Centre of North-Carolina) standard cell benchmarks is experimented and results show that our placement algorithm produces on average of 12% lower total wire length than that of Feng Shui with a little longer CPU time.
机译:针对超大规模电路,提出了一种基于分割的高效启发式力定向布局算法。我们的启发式力导向方法比力导向松弛(FDR)方法为迭代放置优化提供了更有效的单元位置调整方案。我们基于新的并行聚类技术应用分层划分,将电路分解为几个级别的子电路。在分区阶段,引入了一种类似于“终端传播”的技术,以保持影响子电路中单元调整的外部连接。在这些最低级别的子电路中,启发式力导向算法用于执行迭代放置优化。然后,由二等分法得到的每一对子电路合并成一个较大的子电路,其中单元被定位为任一子电路的最佳放置状态。自下而上的组合是连续进行的,直到回到原始电路为止,并且在每个组合级别,使用启发式力定向放置算法来进一步提高放置质量。实验了一组MCNC(北卡罗来纳州微电子中心)标准单元基准,结果表明,在CPU时间稍长的情况下,我们的布局算法所产生的总线长平均比风水低12%。

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