C-based adaptive stream processing on dynamically reconfigurable hardware: A case study on window join

Eric Shun Fukuda, Hideyuki Kawashima, Hiroaki Inoue, Taro Fujii, Koichiro Furuta, Tetsuya Asai, Masato Motomura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationReconfigurable Computing
Subtitle of host publicationArchitectures, Tools, and Applications - 9th International Symposium, ARC 2013, Proceedings
Number of pages1
DOIs
Publication statusPublished - 2013 Apr 3
Externally publishedYes
Event9th International Symposium on Applied Reconfigurable Computing, ARC 2013 - Los Angeles, CA, United States
Duration: 2013 Mar 252013 Mar 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7806 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Symposium on Applied Reconfigurable Computing, ARC 2013
CountryUnited States
CityLos Angeles, CA
Period13/3/2513/3/27

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Fukuda, E. S., Kawashima, H., Inoue, H., Fujii, T., Furuta, K., Asai, T., & Motomura, M. (2013). C-based adaptive stream processing on dynamically reconfigurable hardware: A case study on window join. In Reconfigurable Computing: Architectures, Tools, and Applications - 9th International Symposium, ARC 2013, Proceedings (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7806 LNCS). https://doi.org/10.1007/978-3-642-36812-7_23