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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Yoshimi, M., Nishikawa, Y., Miki, M., Hiroyasu, T., Amano, H., & Mencer, O. (2010). A performance evaluation of CUBE: One-dimensional 512 FPGA cluster. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5992 LNCS, pp. 372–381). https://doi.org/10.1007/978-3-642-12133-3_36
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