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A fast time-domain simulation technique of plane circuits via two-layer Cellular Neural Network (CNN)-based modeling, which is necessary for power/signal integrity evaluation in VLSIs, printed circuit boards, and packages, is presented. Using the new notation expressed by the two-layer CNN, 1,553 times faster simulation is achieved, compared with Berkeley SPICE (*ngspice*). In CNN community, CNNs are generally simulated by explicit numerical integration such as the forward Euler and Runge-Kutta methods. However, since the two-layer CNN is a stiff circuit, we cannot analyze it by using an explicit numerical integration method. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced. This procedure would open an application of CNN to electronic design automation area.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.12 pp.3757-3762

- Publication Date
- 2008/12/01

- Publicized

- Online ISSN
- 1745-1337

- DOI
- 10.1093/ietfec/e91-a.12.3757

- Type of Manuscript
- PAPER

- Category
- Nonlinear Problems

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Yuichi TANJI, Hideki ASAI, Masayoshi ODA, Yoshifumi NISHIO, Akio USHIDA, "Fast Simulation Technique of Plane Circuits via Two-Layer CNN-Based Modeling" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 12, pp. 3757-3762, December 2008, doi: 10.1093/ietfec/e91-a.12.3757.

Abstract: A fast time-domain simulation technique of plane circuits via two-layer Cellular Neural Network (CNN)-based modeling, which is necessary for power/signal integrity evaluation in VLSIs, printed circuit boards, and packages, is presented. Using the new notation expressed by the two-layer CNN, 1,553 times faster simulation is achieved, compared with Berkeley SPICE (*ngspice*). In CNN community, CNNs are generally simulated by explicit numerical integration such as the forward Euler and Runge-Kutta methods. However, since the two-layer CNN is a stiff circuit, we cannot analyze it by using an explicit numerical integration method. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced. This procedure would open an application of CNN to electronic design automation area.

URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.12.3757/_p

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@ARTICLE{e91-a_12_3757,

author={Yuichi TANJI, Hideki ASAI, Masayoshi ODA, Yoshifumi NISHIO, Akio USHIDA, },

journal={IEICE TRANSACTIONS on Fundamentals},

title={Fast Simulation Technique of Plane Circuits via Two-Layer CNN-Based Modeling},

year={2008},

volume={E91-A},

number={12},

pages={3757-3762},

abstract={A fast time-domain simulation technique of plane circuits via two-layer Cellular Neural Network (CNN)-based modeling, which is necessary for power/signal integrity evaluation in VLSIs, printed circuit boards, and packages, is presented. Using the new notation expressed by the two-layer CNN, 1,553 times faster simulation is achieved, compared with Berkeley SPICE (*ngspice*). In CNN community, CNNs are generally simulated by explicit numerical integration such as the forward Euler and Runge-Kutta methods. However, since the two-layer CNN is a stiff circuit, we cannot analyze it by using an explicit numerical integration method. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced. This procedure would open an application of CNN to electronic design automation area.},

keywords={},

doi={10.1093/ietfec/e91-a.12.3757},

ISSN={1745-1337},

month={December},}

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TY - JOUR

TI - Fast Simulation Technique of Plane Circuits via Two-Layer CNN-Based Modeling

T2 - IEICE TRANSACTIONS on Fundamentals

SP - 3757

EP - 3762

AU - Yuichi TANJI

AU - Hideki ASAI

AU - Masayoshi ODA

AU - Yoshifumi NISHIO

AU - Akio USHIDA

PY - 2008

DO - 10.1093/ietfec/e91-a.12.3757

JO - IEICE TRANSACTIONS on Fundamentals

SN - 1745-1337

VL - E91-A

IS - 12

JA - IEICE TRANSACTIONS on Fundamentals

Y1 - December 2008

AB - A fast time-domain simulation technique of plane circuits via two-layer Cellular Neural Network (CNN)-based modeling, which is necessary for power/signal integrity evaluation in VLSIs, printed circuit boards, and packages, is presented. Using the new notation expressed by the two-layer CNN, 1,553 times faster simulation is achieved, compared with Berkeley SPICE (*ngspice*). In CNN community, CNNs are generally simulated by explicit numerical integration such as the forward Euler and Runge-Kutta methods. However, since the two-layer CNN is a stiff circuit, we cannot analyze it by using an explicit numerical integration method. Hence, to analyze the two-layer CNN and reduce the computational cost, the leapfrog method is introduced. This procedure would open an application of CNN to electronic design automation area.

ER -