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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Duo Chen Dan Jiao |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906 (Duo Chen; Dan Jiao) |
| Abstract | Driven by the continued advance of integrated circuit (IC) technology, large-scale electromagnetic (EM) modeling and simulation problems have been encountered across the design of on-chip circuits, package, and die-package interfaces. To give a few examples, full-chip post-layout performance verification that includes transmission line and full-wave effects, system-level signal and noise integrity analysis, and the characterization of broadband die-package interaction for clean power delivery. Two major difficulties exist for the analysis of the aforementioned large-scale problems. One is the large problem size. The modeling of a die, a package, and a combined die-package system results in numerical problems of ultra-large scale, requiring billions of parameters to describe them accurately. The other is the multiscale nature of the problem. An electromagnetic simulator is required to span scale ranges of at least 10000:1 to analyze a combined die-package system. Recently, a time domain Orthogonal Finite-Element Reduction-Recovery method (OrFE-RR) was developed to handle the large problem size associated with the design of very large-scale integrated circuits [1]. In this method, a set of orthogonal prism vector bases are developed. With this set of bases, the original ultralarge scale 3-D system of order N is rigorously reduced to a 2-D single-layered system of order M with negligible computational cost, where M is much less than N. The reduced 2D system is diagonal, and hence can be solved readily. After obtaining the solution of the reduced system, the rest of the solutions can be recovered in linear complexity. This method entails no theoretical approximation. It applies to any arbitrarily-shaped multilayer structure involving inhomogeneous materials. Numerical experiments have demonstrated its accuracy and capacity in simulating very large-scale on-chip, package, and die-package interaction problems. The multiscaled nature of the integrated circuit system has not been addressed in the OrFE-RR method. The method projects the meshes in all the layers to the same layer. Namely, all the layers share the same mesh. This results in redundant mesh elements, and hence redundant number of unknowns. In this work, we extend the OrFE-RR method to model the orders-of-magnitude difference in scale of the die and the package by developing a multiscale modeling scheme. With such a scheme, we allow for the use of different mesh sizes in different layers and regions. As a result, we do not need to project the meshes in different layers to the same layer. In addition, we permit the modeling of the orders-of-magnitude difference in scale of a physical structure by using the minimum number of mesh elements. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 659466 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424449675 |
| ISSN | 15223965 |
| DOI | 10.1109/APS.2010.5561920 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-11 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Integrated circuit modeling Boundary conditions Finite element methods Time domain analysis System-on-a-chip Numerical models |
| Content Type | Text |
| Resource Type | Article |
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