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

  • Authors:
  • Masato Yoshimi;Yuri Nishikawa;Mitsunori Miki;Tomoyuki Hiroyasu;Hideharu Amano;Oskar Mencer

  • Affiliations:
  • Faculty of Science and Engineering, Doshisha University, Japan;Graduate School of Science and Technology, Keio University, Japan;Faculty of Science and Engineering, Doshisha University, Japan;Faculty of Science and Engineering, Doshisha University, Japan;Graduate School of Science and Technology, Keio University, Japan;Department of Computing, Imperial College London, UK

  • Venue:
  • ARC'10 Proceedings of the 6th international conference on Reconfigurable Computing: architectures, Tools and Applications
  • Year:
  • 2010

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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.