Optimization of the power/ground network wire-sizing and spacing based on sequential network simplex algorithm

Ting-Yuan Wang, C. C. Chen
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引用次数: 46

Abstract

This paper presents a fast algorithm to optimize both the widths and lengths of power/ground networks under reliability and power dip/ground bounce constraints. The space-sizing which allows the length to change gives more flexibility in solving practical problems. There are two major contributions of this paper. First, we prove that for general topology, a relaxed version of this problem is also convex. Second, we present the sequential network simplex algorithm which can solve those problems with extreme efficiency. Experimental results on several large scale problems, using a PC with a 500-MHZ Pentium III processor, show that our algorithm can solve problems with hundreds of thousands of variables within a few minutes and has a speed improvement of 25+ over sequential linear programming. Experimental results also show that about 50% of the power delivery area can be reduced using our algorithm.
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基于顺序网络单纯形算法的电源/地线线径和间距优化
本文提出了一种在可靠性和功率下降/地反弹约束下快速优化电源/地网宽度和长度的算法。允许长度变化的空间大小为解决实际问题提供了更大的灵活性。本文的主要贡献有两点。首先,我们证明了对于一般拓扑,这个问题的松弛版本也是凸的。其次,我们提出了序列网络单纯形算法,该算法能以极高的效率解决这些问题。在配备500 mhz Pentium III处理器的PC上进行的几个大规模问题的实验结果表明,该算法可以在几分钟内解决数十万个变量的问题,速度比顺序线性规划提高了25+。实验结果还表明,该算法可将功率传输面积减少约50%。
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