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Efficient Three-Dimensional Extraction Based on Static and Full-Wave Layered Green's Functions (1998)
| Content Provider | CiteSeerX |
|---|---|
| Author | Zhao, Jinsong Dai, Wayne W. M. Kapur, Sharad Long, David E. |
| Abstract | Integral equation approaches based on layered media Green's functions are often used to extract models of integrated circuit structures. The primary advantage of these approaches over equivalent-source based schemes is the dramatic reduction in problem size. When combined with an SVD-accelerated scheme for the solution of the associated dense linear system, this leads to a substantial speedup. In this paper we derive and solve for these multilayered 3D Green's functions using a transmission line circuit analog. A generalized image method for an arbitrary number of layers is presented. This method is rapidly convergent for near-field interactions. For the far field, a Chebyshev interpolation approach is adopted, where a database is precomputed (using a Fast Hankel Transform) and stored. The combination of these two approaches leads to an extremely efficient scheme for the generation of Green's functions. We combine the SVD-accelerated integral equation solver IES³ with the multilayered Green's function approach, apply it to the extraction of IC parasitics and passive components, and we demonstrate its speed, accuracy and versatility via anumber of examples. |
| File Format | |
| Publisher Date | 1998-01-01 |
| Access Restriction | Open |
| Subject Keyword | Integrated Circuit Structure Generalized Image Method Svd-accelerated Scheme Fast Hankel Transform Ic Parasitics Svd-accelerated Integral Equation Solver Y Problem Size Dramatic Reduction Full-wave Layered Green Chebyshev Interpolation Approach Multilayered Green Arbitrary Number Near-field Interaction Substantial Speedup Integral Equation Approach Passive Component Primary Advantage Efficient Scheme Dense Linear System Layered Medium Green Function Approach Efficient Three-dimensional Extraction Transmission Line Circuit Analog |
| Content Type | Text |
| Resource Type | Article |
