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International Symposium on Applied Reconfigurable Computing

ARC 2013: Reconfigurable Computing: Architectures, Tools and Applications pp 220Cite as

C-Based Adaptive Stream Processing on Dynamically Reconfigurable Hardware: A Case Study on Window Join

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7806))

Abstract

Stream processing is becoming an important application field for reconfigurable architectures due to its two trends: 1) data rate and power consumption of a stream processing system is rapidly increasing, and 2) data streams have wide characteristics that should be dealt with different hardware architectures. However, utilizing reconfigurable processors requires hardware development skills which software engineers who develop algorithms do not have in general.

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Author information

Authors and Affiliations

  1. Hokkaido University, Sapporo, Japan

    Eric Shun Fukuda, Tetsuya Asai & Masato Motomura

  2. University of Tsukuba, Tsukuba, Japan

    Hideyuki Kawashima

  3. NEC Corporation, Kawasaki, Japan

    Hiroaki Inoue

  4. Renesas Electronics Corporation, Kawasaki, Japan

    Taro Fujii & Koichiro Furuta

Authors
  1. Eric Shun Fukuda
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  2. Hideyuki Kawashima
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  3. Hiroaki Inoue
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  4. Taro Fujii
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  5. Koichiro Furuta
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  6. Tetsuya Asai
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  7. Masato Motomura
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of California, 92521, Riverside, CA, USA

    Philip Brisk

  2. Department of Computing, Imperial College, SW7 2AZ, London, UK

    José Gabriel de Figueiredo Coutinho

  3. Departamento de Engenharia Informática, Instituto Superior Técnico/INESC-ID, Av. Prof. Dr. Cavaco Silva, 2780-990, Porto Salvo, Portugal

    Pedro C. Diniz

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Fukuda, E.S. et al. (2013). C-Based Adaptive Stream Processing on Dynamically Reconfigurable Hardware: A Case Study on Window Join. In: Brisk, P., de Figueiredo Coutinho, J.G., Diniz, P.C. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2013. Lecture Notes in Computer Science, vol 7806. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36812-7_23

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  • DOI: https://doi.org/10.1007/978-3-642-36812-7_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36811-0

  • Online ISBN: 978-3-642-36812-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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