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Macromodel-Based Iterative Solvers for Simulation of High-Speed Links With Nonlinear Terminations

机译:基于宏模型的迭代求解器,用于仿真带有非线性终端的高速链路

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Data transmission on high-speed channels may be affected by several undesired effects, including coupling from nearby interconnects, dispersion, losses, signal reflections from terminations and from internal discontinuities, and nonlinear/dynamic effects of drivers and receivers. The latter are often neglected, leading to very fast solvers, whose results may, however, be questionable when driver/receiver nonlinearities are important. This paper presents a framework for the transient analysis of complex high-speed channels with arbitrary nonlinear termination circuits. The approach is based on decoupling channel and terminations through a scattering-based waveform relaxation (WR) formulation. The channels are here cast as delay-rational macromodels, which are solved in discrete time domain through fast delayed recursive convolutions. The terminations can be either arbitrary circuits, solved by SPICE, or nonlinear behavioral macromodels, which are here formulated in discrete-time scattering representations. To overcome the known convergence issues of standard WR methods, we apply here more general iterative solution schemes, such as generalized minimal residual and biconjugate gradient stabilized, integrated into inexact Newton iterations, obtaining a set of numerical schemes with guaranteed convergence. The excellent performance of the proposed approach is illustrated on a large set of benchmarks.
机译:高速通道上的数据传输可能会受到几种不良影响的影响,包括附近互连的耦合,色散,损耗,来自终端和内部不连续的信号反射以及驱动器和接收器的非线性/动态影响。后者常常被忽略,导致求解器非常快,但是当驱动器/接收器的非线性很重要时,其求解结果可能会令人怀疑。本文提出了一个具有任意非线性终端电路的复杂高速通道瞬态分析的框架。该方法基于通过基于散射的波形弛豫(WR)公式解耦通道和终端。通道在这里被转换为延迟比宏模型,通过快速延迟递归卷积在离散时域中求解。终端可以是由SPICE求解的任意电路,也可以是非线性行为宏模型,在此以离散时间散射表示形式表示。为了克服标准WR方法的已知收敛问题,我们在这里应用更通用的迭代求解方案,例如将广义最小残差和双共轭梯度稳定化方法集成到不精确的Newton迭代中,从而获得一组具有一定收敛性的数值方案。大量基准测试表明了该方法的出色性能。

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