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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang, J. Ghanta, P. Vrudhula, S. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of ECE, Arizona Univ., Tucson, AZ, USA (Wang, J.; Ghanta, P.; Vrudhula, S.) |
| Abstract | Deformations in interconnect due to process variations can lead to significant performance degradation in deep sub-micron circuits. Timing analyzers attempt to capture the effects of variation on delay with simplified models. The timing verification of RC or RLC networks requires the substitution of such simplified models with spatial stochastic processes that capture the random nature of process variations. The present work proposes a new and viable method to compute the stochastic response of interconnects. The technique models the stochastic response in an infinite dimensional Hilbert space in terms of orthogonal polynomial expansions. A finite representation is obtained by using the Galerkin approach of minimizing the Hilbert space norm of the residual error. The key advance of the proposed method is that it provides a functional representation of the response of the system in terms of the random variables that represent the process variations. The proposed algorithm has been implemented in a procedure called OPERA, results from OPERA simulations on commercial design test cases match well with those from the classical Monte Carlo SPICE simulations and from perturbation methods. Additionally OPERA shows good computational efficiency: speedup factor of 60 has been observed over Monte Carlo SPICE simulations. |
| Starting Page | 880 |
| Ending Page | 886 |
| File Size | 593493 |
| Page Count | 7 |
| File Format | |
| ISBN | 0780387023 |
| ISSN | 10923152 |
| DOI | 10.1109/ICCAD.2004.1382698 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-11-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes Performance analysis Integrated circuit interconnections Computational modeling Timing Hilbert space Monte Carlo methods SPICE Degradation RLC circuits |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Science Applications Software |
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