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Improved pre-characterization method for the random walk based capacitance extraction of multi-dielectric VLSI interconnects

机译:改进了多电介质VLSI互连的基于随机步行电容提取的预表征方法

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Accurately extracting capacitances among the interconnects in modern multi-dielectric technology of integrated circuits is a challenging task. The floating random walk (FRW) algorithm is advantageous for capacitance extraction and has been extended by W. Yu et al. to accurately handle multi-dielectric structures with a pre-characterization approach. In this paper, we improve this pre-characterization approach by permitting the cubic transition domains with three or four-dielectric layers. The techniques of pre-characterizing and utilizing these multi-dielectric transition cubes are proposed. Experiments on the test cases under actual manufacture technologies show that the proposed method brings 13x speedup on average, with affordable memory overhead. The experiments also validate the accuracy of the proposed method and reveal the significant error caused by the dielectric homogenization approach in a commercial FRW solver. Finally, on a machine with 12-core CPU, the parallel FRW algorithm equipped with the proposed pre-characterization method demonstrates more than 10x speedup of parallelization. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:准确提取集成电路现代多电介质技术中的互连之间的电容是一个具有挑战性的任务。浮动随机步行(FRW)算法对于电容提取是有利的,并且已经由W. Yu等人延伸。用预先表征方法精确处理多介电结构。在本文中,我们通过允许具有三个或四介电层的立方过渡域来改善这种前表征方法。提出了预先表征和利用这些多介电转变立方体的技术。实际制造技术下测试用例的实验表明,该方法平均推出了13倍的加速,具有实惠的记忆开销。实验还验证了所提出的方法的准确性,并揭示了商业FRW求解器中的介电均质化方法引起的显着误差。最后,在具有12核CPU的机器上,配备有所提出的前表征方法的并联FRW算法表明了并行化的10倍以上。版权所有(c)2015 John Wiley&Sons,Ltd。

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