A Performance Evaluation of CUBE: One-Dimensional 512 FPGA Cluster

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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.

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