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

doi:10.1007/978-3-642-36812-7_23

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 proceeding › Conference 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 language	English
Title of host publication	Reconfigurable Computing
Subtitle of host publication	Architectures, Tools, and Applications - 9th International Symposium, ARC 2013, Proceedings
Number of pages	1
DOIs	https://doi.org/10.1007/978-3-642-36812-7_23
Publication status	Published - 2013 Apr 3
Externally published	Yes
Event	9th International Symposium on Applied Reconfigurable Computing, ARC 2013 - Los Angeles, CA, United States Duration: 2013 Mar 25 → 2013 Mar 27

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7806 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	9th International Symposium on Applied Reconfigurable Computing, ARC 2013
Country/Territory	United States
City	Los Angeles, CA
Period	13/3/25 → 13/3/27

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-36812-7_23

Cite this

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

C-based adaptive stream processing on dynamically reconfigurable hardware: A case study on window join. / Fukuda, Eric Shun; Kawashima, Hideyuki; Inoue, Hiroaki et al.
Reconfigurable Computing: Architectures, Tools, and Applications - 9th International Symposium, ARC 2013, Proceedings. 2013. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7806 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fukuda, ES, 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, 9th International Symposium on Applied Reconfigurable Computing, ARC 2013, Los Angeles, CA, United States, 13/3/25. https://doi.org/10.1007/978-3-642-36812-7_23

Fukuda ES, Kawashima H, Inoue H, Fujii T, Furuta K, Asai T et al. 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. 2013. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36812-7_23

Fukuda, Eric Shun ; Kawashima, Hideyuki ; Inoue, Hiroaki et al. / C-based adaptive stream processing on dynamically reconfigurable hardware : A case study on window join. Reconfigurable Computing: Architectures, Tools, and Applications - 9th International Symposium, ARC 2013, Proceedings. 2013. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

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