用于三维超大规模集成电路互连电容提取的新型降维技术

W. Hong, W. Sun, Zhenhai Zhu, Hao Ji, Ben Song, W. Dai
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引用次数: 50

摘要

在本文中,我们针对三维超大规模集成电路互连提出了一种名为 "降维技术(DRT)"的新型电容提取方法。DRT 将复杂的三维问题转化为一系列级联的简单二维问题。每个三维问题都单独求解,因此我们可以根据导体的排列选择最有效的方法。更重要的是,我们很容易获得多层 2D 问题的解析解,如纯介质层和信号线平行层。因此,需要进行数值分析的域可以最小化。这大大减少了计算时间和内存需求。我们使用 DRT 提取了多层和多半导体交叉、弯曲、带信号线的通孔和开口的电容。结果与 Ansoft 的 SPICELINK 和麻省理工学院的 FastCap 非常一致,但 DRT 所需的计算时间和内存大小比 SPICELINK 和 FastCap 少几倍甚至几十倍。
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A novel dimension reduction technique for the capacitance extraction of 3D VLSI interconnects
In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a series of cascading simple 2D problems. Each 3D problem is solved separately, so we can choose the most efficient method according to the arrangement of conductors. More importantly, it is very easy to obtain the analytical solutions of 2D problem in many layers such as the pure dielectric layers and the layers with parallel signal lines. Therefore, the domain that has to be analyzed numerically is minimized. This leads to the drastic reduction of the computing time and memory needs. We have used the DRT to extract the capacitances of multilayered and multiconductor cross-overs, bends, via with signal lines and open-end. The results are in good agreement with those of Ansoft's SPICELINK and MIT's FastCap, but the computing time and memory size used by the DRT are several even tens times less than those used by SPICELINK and FastCap.
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