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A Route System Based on Genetic Algorithm for Coarse-Grain Reconfigurable Architecture

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Advances in Computation and Intelligence (ISICA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5821))

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Abstract

It is a often hard to find a feasible and optimum route because the routing resources are constrained in coarse-grain RA (CGRA) and several functions are often defined in same one element of RA. In this paper, a proposed propriety-based path encoding genetic algorithm is applied for the routing problem of CGRA. By mapping Fast Fourier Transform of the butterfly computation to CTaiJi that is a newly developed CGRA, the proposed GA shows good ability to find the good solution.

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References

  1. Gen, M., Cheng, R., Wang, D.: Genetic algorithms for solving shortest path problems. Evolutionary Computation. In: IEEE International Conference on Volume Issue, April 13-16, 1997, pp. 401–406 (1997)

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  3. Liguo, S., Yuxian, J.: CTaiJi——a new coarse grain re-configurable computing platform. Microelectronics and computer (September 2005)

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Author information

Authors and Affiliations

  1. School of Computer, China University of Geosciences, Wuhan, 430074, China

    Yan Guo, Sanyou Zeng, Lishan Kang, Gang Liu & Nannan Hu

  2. Hebei Youth Administrative Cadres College, Hebei, 050031, China

    Kuo Zhao

Authors
  1. Yan Guo
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  2. Sanyou Zeng
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  3. Lishan Kang
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  4. Gang Liu
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  5. Nannan Hu
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  6. Kuo Zhao
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, P.R. China

    Zhihua Cai

  2. School of Computer Science, China University of Geosciences, 430074, Wuhan, Hubei, China

    Zhenhua Li

  3. Computation Center, Wuhan University, 430072, Wuhan, Hubei, China

    Zhuo Kang

  4. School of Computer Science and Engineering, The University of Aizu, 965-8580, i, Aizu-Wakamatsu City, Fukushima, Japan

    Yong Liu

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© 2009 Springer-Verlag Berlin Heidelberg

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Guo, Y., Zeng, S., Kang, L., Liu, G., Hu, N., Zhao, K. (2009). A Route System Based on Genetic Algorithm for Coarse-Grain Reconfigurable Architecture. In: Cai, Z., Li, Z., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2009. Lecture Notes in Computer Science, vol 5821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04843-2_2

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  • DOI: https://doi.org/10.1007/978-3-642-04843-2_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04842-5

  • Online ISBN: 978-3-642-04843-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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