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Fast EMI Analysis of Massively Coupled Interconnects with Long Delay.

机译:具有长延迟的大规模耦合互连的快速EMI分析。

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摘要

The recent increase in the operating frequencies and demand for compact as well as low-power electronic devices, has highlighted the previously neglected interconnect and Electromagnetic Interference (EMI) effects in high-speed designs. The success of high-speed designs depend heavily on the accurate and timely estimation of EMI and related interconnect effects like reflection, delay and crosstalk. However, at gigahertz frequencies, conventional EMI and interconnect macromodels become inefficient, especially when applied to massively coupled interconnects with long delay. This inefficiency is mainly because of the large coupled circuit that results from the application of conventional macromodels. Hence, to address this problem, a new algorithm that combines the advantages of recently developed algorithms, namely, the Waveform Relaxation and Transverse Partitioning (an efficient method to simulate coupled interconnects), and the Delay Extraction-based Passive Compact Transmission-line macromodel (an efficient macromodel for long interconnects), is presented. This algorithm achieves a significant reduction in simulation time. Additionally, a parallel EMI analysis algorithm that further decomposes the simulation into time blocks is also presented. This parallel algorithm results in further CPU time savings and is found to scale well with the number of processors.
机译:最近工作频率的增长以及对紧凑型以及低功耗电子设备的需求,突显了高速设计中以前被忽略的互连和电磁干扰(EMI)效应。高速设计的成功在很大程度上取决于对EMI以及相关的互连效应(如反射,延迟和串扰)的准确,及时的估算。但是,在千兆赫兹频率下,传统的EMI和互连宏模型效率低下,尤其是当应用于长时间延迟的大规模耦合互连时。该效率低下主要是由于常规宏模型的应用导致较大的耦合电路。因此,为了解决这个问题,一种新算法结合了最近开发的算法的优点,即波形松弛和横向划分(一种模拟耦合互连的有效方法)以及基于延迟提取的无源紧凑型传输线宏模型(提出了一种适用于长互连的高效宏模型)。该算法大大减少了仿真时间。此外,还提出了一种并行EMI分析算法,该算法将仿真进一步分解为时间块。这种并行算法可以进一步节省CPU时间,并且可以随着处理器数量的增加而很好地扩展。

著录项

  • 作者单位

    Carleton University (Canada).;

  • 授予单位 Carleton University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.A.Sc.
  • 年度 2010
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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