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Optimal wire ordering and spacing in low power semiconductor design

机译:低功率半导体设计中的最佳导线排序和间距

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A key issue for high integration circuit design in the semiconductor industry are power constraints that stem from the need for heat removal and reliability or battery lifetime limitations. As the power consumption depends heavily on the capacitances between adjacent wires, determining the optimal ordering and spacing of parallel wires is an important issue in the design of low power chips. As it turns out, optimal wire spacing is a convex optimization problem, whereas the optimal wire ordering is combinatorial in nature, containing (a special class of) the Minimum Hamilton Path problem. While the latter is -hard in general, the present paper provides an algorithm that solves the coupled ordering and spacing problem for N parallel wires to optimality. Keywords Optimal wire placement - Convex programming - Combinatorial optimization - Hamilton path Mathematics Subject Classification (2000) 90C27 - 90C25 - 90C90 Dedicated to Prof. Martin Grötschel on the occasion of his 60th birthday.
机译:半导体行业中高集成度电路设计的关键问题是功率限制,该功率限制源于对散热和可靠性的要求,或者对电池寿命的限制。由于功耗在很大程度上取决于相邻导线之间的电容,因此确定并行导线的最佳排序和间距是低功耗芯片设计中的重要问题。事实证明,最佳导线间距是一个凸优化问题,而最佳导线排序本质上是组合的,其中包含(最小类)汉密尔顿路径问题。尽管后者通常比较困难,但本文提供了一种算法,可以解决N根平行线的耦合排序和间距问题。关键字最佳导线放置-凸规划-组合优化-汉密尔顿路径数学学科分类(2000)90C27-90C25-90C90献给MartinGrötschel教授60岁生日。

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