Parallel algorithms for the efficient extraction of fitting based reduced order models

This paper investigates two methods of exploiting parallel architectures in order to efficiently extract reduced-order models for passive high-frequency integrated devices. Due to the high frequencies involved, all the effects of electromagnetic fields must be taken into account, but this leads to very large models which have to be reduced. We use an efficient technique, based on Vector Fitting, to extract these models with minimal computational effort, and we propose two methods of mapping the tasks on a parallel architecture.