Name
Abstract | ||
|---|---|---|
A fast timing analysis of plane circuits via two-layer CNN- based modeling, which is necessary for the solution of power/signal integrity problems in printed circuit boards and packages, is presented. Using the new notation expressed by the two-layer CNN, more than 1500 times faster simulation is achieved, compared with Berkeley SPICE (ngspice). In CNN community, CNNs are generally simulated by explicit numerical integration algorithms such as the forward Euler and Runge- Kutta methods. However, since the system of the two-layer CNN becomes stiff, we cannot analyze the CNN by using an explicit numerical integration algorithm. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced in this paper. This procedure would open a CNN application up to electronic design automation area. I. INTRODUCTION VLSI implementations, potential applications for image process- ing, and nonlinear wave phenomena of CNNs have attracted many interests in the last two decades. As one of the studies, the nonlinear wave phenomena have been analyzed via CNNs (1), (2), (3), where a discrete model of partial differential equation is expressed by |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISCAS.2006.1693440 | Island of Kos |
Keywords | Field | DocType |
SPICE,cellular neural nets,circuit analysis computing,electronic design automation,integrated circuit modelling,timing,Berkeley SPICE,Euler methods,Runge-Kutta methods,electronic design automation,explicit numerical integration algorithm,fast timing analysis,leapfrog method,plane circuits,power integrity problems,printed circuit boards,printed circuit packages,signal integrity problems,two-layer CNN modeling | Runge–Kutta methods,Computer science,Numerical integration,Signal integrity,Electronic engineering,Electronic design automation,Static timing analysis,Leapfrog integration,Electronic circuit,Cellular neural network | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-9389-9 | 1 |
PageRank | References | Authors |
0.48 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yuichi tanji | 1 | 32 | 12.18 |
| Hideki Asai | 2 | 1 | 0.48 |
| Masayoshi Oda | 3 | 2 | 2.19 |
| Yoshifumi Nishio | 4 | 229 | 71.08 |
| Akio Ushida | 5 | 1 | 0.48 |