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Efficient model update for general link-insertion networks

机译:通用链接插入网络的有效模型更新

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Link insertion has been proposed as a means of incremental design to improve performance robustness of linear passive networks. In clock network design, links can be inserted between subnetworks to reduce the variability of clock skews introduced by process and environmental fluctuations, thereby improving the network's immunity to PVT variations. Under these scenarios, it is desired to incrementally compute a reduced-order model for the updated network in order to efficiently evaluate the effectiveness of link insertions. In this paper, we present an efficient model update scheme for general link-insertion networks. By updating the Krylov projection subspace used in model order reduction, the proposed scheme can efficiently compute a reduced-order model for the network with inserted links. More generally, we extend the proposed approach to consider the merging of a (small) multiple-input linear network with a much larger network. We demonstrate the usage of the proposed technique for clock networks and general RLC circuits with an arbitrary number of link insertions as well as the more general case where the inserted links are in the form of a linear network
机译:链路插入已被提出作为一种增量设计的手段,以提高线性无源网络的性能鲁棒性。在时钟网络设计中,可以在子网之间插入链接,以减少由过程和环境波动引起的时钟偏斜的变化,从而提高网络对PVT变化的抵抗力。在这些情况下,期望为更新的网络递增地计算降阶模型,以便有效地评估链路插入的有效性。在本文中,我们提出了一种用于通用链路插入网络的有效模型更新方案。通过更新用于模型降阶的Krylov投影子空间,所提出的方案可以有效地为带有插入链接的网络计算降阶模型。更一般而言,我们将提出的方法扩展为考虑将(小型)多输入线性网络与更大的网络合并。我们演示了所提出的技术在具有任意数量的链路插入的时钟网络和通用RLC电路中的用法,以及在更一般的情况下插入的链路呈线性网络形式的情况

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