延迟驱动聚类中簇填充和节点复制控制的影响

M. E. Dehkordi, S. Brown
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引用次数: 12

摘要

延迟驱动的聚类算法虽然可以优化电路延迟,但通常会导致大面积增加。我们提出了一种节点重复控制策略以及一种简单的打包算法,该算法在性能下降很小的情况下大大减少了面积损失。我们使用Altera的Quartus设计系统在一组MCNC基准电路上测试我们的算法。结果表明,在平均面积增加240.8%的情况下,平均延迟减少14.5%;在平均延迟减少13.8%的情况下,平均面积损失减少27.4%。此外,Quartus报告的聚类数量和拟合时间分别减少了91%和60%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of cluster packing and node duplication control in delay driven clustering
Although delay driven clustering algorithms can optimize circuit delay, they usually result in huge area increase. We present a node duplication control strategy along with a simple packing algorithm that greatly reduce the area penalty with a very small degradation in performance. We use the Quartus Design System from Altera to test our algorithm for a set of MCNC benchmark circuits. The results show that while a 14.5% average delay decrease can be achieved with an average area increase of 240.8%, the algorithm reduces the average area penalty to 27.4% with an average delay decrease of 13.8%. Also the number of clusters and the fitting time reported by Quartus are reduced by more than 91% and 60%, respectively.
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