Efficient model update for general link-insertion networks

Zhuo Feng, Peng Li, Jiang Hu
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引用次数: 5

Abstract

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
一般链路插入网络的有效模型更新
为了提高线性无源网络的鲁棒性,链路插入被提出作为一种增量设计方法。在时钟网络设计中,可以在子网之间插入链路,以减少过程和环境波动带来的时钟偏差的可变性,从而提高网络对PVT变化的免疫力。在这些情况下,为了有效地评估链接插入的有效性,需要为更新后的网络增量计算降阶模型。本文针对一般的链路插入网络,提出了一种有效的模型更新方案。该方法通过更新用于模型降阶的Krylov投影子空间,可以有效地计算出含有插入链路的网络的降阶模型。更一般地说,我们扩展了所提出的方法,以考虑(小)多输入线性网络与更大网络的合并。我们演示了所提出的技术在时钟网络和具有任意数量链路插入的一般RLC电路中的使用,以及插入链路以线性网络形式存在的更一般情况下的使用
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