Title :
Efficient inductance extraction via windowing
Author :
Beattie, Michael ; Pileggi, Lawrence
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
We propose a new, efficient and accurate localized inductance modeling technique via windowing in a manner that is analogous to localized capacitance extraction. The stability and accuracy of this process is made possible by twice inverting the localized inductance models, and in the process exploiting properties of the magnetostatic interactions as modeled via the susceptance (inverse inductance). Application of these localized double-inverse inductance models to actual IC bus examples demonstrates the significant improvement in simulation efficiency and overall accuracy as compared to alternative methods of approximation and simplification
Keywords :
circuit simulation; delays; digital integrated circuits; inductance; integrated circuit interconnections; integrated circuit modelling; wiring; IC bus; inductance extraction; inverse inductance; localized capacitance extraction; localized inductance modeling technique; magnetostatic interactions; simulation efficiency; susceptance; windowing; Capacitance; Conductors; Delay; Inductance; Integrated circuit modeling; Magnetic susceptibility; Magnetostatics; Sparse matrices; Stability; Symmetric matrices;
Conference_Titel :
Design, Automation and Test in Europe, 2001. Conference and Exhibition 2001. Proceedings
Conference_Location :
Munich
Print_ISBN :
0-7695-0993-2
DOI :
10.1109/DATE.2001.915059