MORCIC: Model Order Reduction Techniques for Electromagnetic Models of Integrated Circuits
Abstract: Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted from physical layouts exacerbates the extraction time, the storage requirements, and, most critically, the post-layout simulation time of the analyzed circuits. The MORCIC project aims to overcome this problem by proposing new MOR techniques that perform better than commercial tools. Experimental evaluation on several analog and mixed-signal circuits with millions of elements indicates that the proposed methods lead to x5.5 smaller ROMs while maintaining similar accuracy compared to golden ROMs provided by ANSYS RaptorX.
- A. Odabasioglu et al., “Prima: Passive reduced-order interconnect macromodeling algorithm,” IEEE Trans. on CAD of Integrated Circuits and Systems, vol. 17, no. 8, pp. 645–654, 1998.
- S. Gugercin et al., “A survey of model reduction by balanced truncation and some new results,” International Journal of Control, vol. 77, no. 8, pp. 748–766, 2004.
- “Ansys-RaptorX.” [Online]. Available: www.ansys.com/products/semiconductors/ansys-raptorh
- C.-W. Ho et al., “The modified nodal approach to network analysis,” IEEE Trans. on Circuits and Systems, vol. 22, no. 6, pp. 504 – 509, 1975.
- D. Lathauwer et al., “Computation of the canonical decomposition by means of a simultaneous generalized schur decomposition,” SIAM Journal on Matrix Analysis and Applications, vol. 26, no. 2, pp. 295–327, 2004.
- V. Simoncini, “A new iterative method for solving large-scale lyapunov matrix equations,” SIAM Journal on Scientific Computing, vol. 29, no. 3, pp. 1268–1288, 2007.
- C. Chatzigeorgiou et al., “Exploiting Extended Krylov Subspace for the Reduction of Regular and Singular Circuit Models,” in Proc. of the 26th Asia South Pacific Design Automation Conference, pp. 773–778, 2021.
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