宽度最小化的二维CMOS单元使用整数规划

Avaneendra Gupta, J. Hayes
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引用次数: 25

摘要

针对一般二维(2-D)布局方式下CMOS单元宽度最小化的问题,提出了一种基于整数线性规划(ILP)的新方法来精确解决该问题。我们制定了一个0-1的ILP模型,其解决方案最小化单元宽度以及跨扩散行的路由复杂性。我们提出的实验结果评估了具有非常不同的解决方法的两个ILP求解器的性能,并评估了行数对细胞宽度的影响。对于最多20个晶体管的单元,最佳布局的运行时间以秒为单位。对于较大的单元,我们提出了一种实用的电路预处理方案,该方案大大减少了运行时间,而最优性几乎没有损失。
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Width minimization of two-dimensional CMOS cells using integer programming
We address the problem of CMOS cell width minimization in the general two-dimensional (2-D) layout style and propose a novel technique based on integer linear programming (ILP) to solve it exactly. We formulate a 0-1 ILP model whose solution minimizes cell width along with the routing complexity across the diffusion rows. We present experimental results that evaluate the performance of two ILP solvers that have very different solution methods, and assess the effect of the number of rows on cell width. Runtimes for optimal layouts are in seconds for cells with up to 20 transistors. For larger cells, we propose a practical circuit pre-processing scheme that dramatically reduces the run time with little or no loss in optimality.
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