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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hong Li Balakrishnan, V. Cheng-Kok Koh |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN (Hong Li; Balakrishnan, V.; Cheng-Kok Koh) |
| Abstract | Recent successful techniques for the efficient simulation of large-scale interconnect models rely on the sparsification of the inverse of the inductance matrix L. While there are several techniques for sparsifying $L^{-1},$ the stability of these approximations for general interconnect structures has not been established, i.e., the sparsified reluctance and inductance matrices are not guaranteed to be positive-definite. In this paper, we present a novel technique for reluctance sparsification for general interconnect structures that enjoys several advantages: first, the resulting sparse approximation is guaranteed to be positive definite; second, the approximation is optimal, in a certain well-defined sense; third, owing to its computational efficiency and numerical stability, the algorithm is applicable for very large problem sizes; and finally our approach yields a compact representation of both inductance and reluctance matrices for general cases |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 7060681 |
| Page Count | 6 |
| File Format | |
| ISBN | 1595933891 |
| ISSN | 10923152 |
| DOI | 10.1109/ICCAD.2006.320097 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Inductance Integrated circuit interconnections Sparse matrices Computational modeling Wires Circuit simulation Computational efficiency Numerical stability Equivalent circuits Very large scale integration |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Science Applications Software |
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