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Evolutionary design of high signal integrity interconnection based on eye-diagram

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Abstract

Frequency of the digital signal in PCBs has remained at about 1 GHz, while that in VLSIs become more than several GHz. The frequency gap comes from signal integrity (SI) deterioration in PCB in GHz-domain. To overcome this problem, we have already proposed segmental transmission line, in which genetic algorithm is used to solve the combinatorial explosion problem in the design. In this paper, we propose a novel fitness based on the eye-diagram, which is widely and generally used for SI evaluation in the high-speed interconnection design field. And we also propose a high-speed eye-diagram calculation method based on virtual eye-diagram. This eye-diagram is constructed by superposing the single-shot pulse responses and can reduce the simulation time. The simulation experiments demonstrate that our proposed fitness increases the eye height and eye width by 3.07 and 1.06 times, respectively, compared with the conventional one.

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Acknowledgements

This research was partially supported by JSPS/KAKENHI Grant Number 17H03258 in Japan, and the VLSI Design and Education Center (VDEC) at the University of Tokyo, in collaboration with Keysight (Agilent) Technologies, Japan.

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Authors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Ten-nodai, Ibaraki, 305-8573, Japan

    Tetsuya Odaira, Naoki Yokoshima & Moritoshi Yasunaga

  2. Faculty of Engineering, Miyazaki University, 1-1 Gakuen Kibanadai Nishi, Miyazaki, 889-2192, Japan

    Ikuo Yoshihara

Authors
  1. Tetsuya Odaira
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  2. Naoki Yokoshima
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  3. Ikuo Yoshihara
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  4. Moritoshi Yasunaga
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Corresponding author

Correspondence to Tetsuya Odaira.

Additional information

This work was presented in part at the 22nd International Symposium on Artificial Life and Robotics, Beppu, Oita, January 19–21, 2017.

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Odaira, T., Yokoshima, N., Yoshihara, I. et al. Evolutionary design of high signal integrity interconnection based on eye-diagram. Artif Life Robotics 23, 298–303 (2018). https://doi.org/10.1007/s10015-018-0433-2

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  • DOI: https://doi.org/10.1007/s10015-018-0433-2

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