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- W3127628041 abstract "During the past decade, Model Order Reduction (MOR) has become key enabler for the efficient simulation of large circuit models. MOR techniques based on moment-matching are well established due to their simplicity and computational performance in the reduction process. However, moment-matching methods based on the ordinary Krylov subspace are usually inadequate to accurately approximate the original circuit behaviour. In this paper, we present a moment-matching method which is based on the extended Krylov subspace and exploits the superposition property in order to deal with many terminals. The proposed method can handle large-scale regular and singular circuits, and generate accurate and efficient reduced-order models for circuit simulation. Experimental results on industrial IBM power grid benchmarks demonstrate that our method achieves an error reduction up to 83.69% over a standard Krylov subspace technique." @default.
- W3127628041 created "2021-02-15" @default.
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- W3127628041 date "2021-01-18" @default.
- W3127628041 modified "2023-10-16" @default.
- W3127628041 title "Exploiting Extended Krylov Subspace for the Reduction of Regular and Singular Circuit Models" @default.
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- W3127628041 doi "https://doi.org/10.1145/3394885.3431589" @default.
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