A performance evaluation of CUBE: One-dimensional 512 FPGA cluster

Masato Yoshimi, Yuri Nishikawa, Mitsunori Miki, Tomoyuki Hiroyasu, Hideharu Amano, Oskar Mencer

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

5 Citations (Scopus)

Abstract

This paper reports an evaluation of CUBE, which is a multi-FPGA system which can connect 512 FPGAs in a form of a simple one dimensional array. As the system well suits as stream-oriented application platforms, we evaluated its performance by implementing edit distance computation algorithm, which is a typical streaming algorithm. Performances are compared with Cell/B.E., NVIDIA's GeForce GTX280 and a general multi-core microprocessor. The report also analyzes pipeline utilization, and discusses performance efficiency, logic consumption and power efficiency with comparison to other multi-core devices.

Original languageEnglish
Title of host publicationReconfigurable Computing
Subtitle of host publicationArchitectures, Tools and Applications - 6th International Symposium, ARC 2010, Proceedings
Pages372-381
Number of pages10
DOIs
Publication statusPublished - 2010 Apr 29
Event6th International Symposium on Applied Reconfigurable Computing, ARC 2010 - Bangkok, Thailand
Duration: 2010 Mar 172010 Mar 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5992 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Symposium on Applied Reconfigurable Computing, ARC 2010
CountryThailand
CityBangkok
Period10/3/1710/3/19

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Yoshimi, M., Nishikawa, Y., Miki, M., Hiroyasu, T., Amano, H., & Mencer, O. (2010). A performance evaluation of CUBE: One-dimensional 512 FPGA cluster. In Reconfigurable Computing: Architectures, Tools and Applications - 6th International Symposium, ARC 2010, Proceedings (pp. 372-381). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5992 LNCS). https://doi.org/10.1007/978-3-642-12133-3_36