Accelerating Hilbert-Huang Transform using GPU

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概要

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• In this paper, we show parallel implementation of Hilbert-Huang Transform on GPU. This implementation focused on the reducing the computation complexity from O(N) on a single CPU to O(log(N)) on GPU, as well as the use of shared-global switching method to increase performance. Evaluation results show our single GPU implementation using Tesla C1060 achieves speedup of 27.7 in best case, and a total speedup of 4.7 for all results when compared to a single Intel dual core CPU.

• 2010-07-27

著者

• Shinobu Miwa

  Tokyo University Of Agriculture And Technology

• Yasue Mitsukura

  Tokyo University Of Agriculture And Technology

• Pulung Waskito

  Tokyo University of Agriculture and Technology

• Hironori Nakajo

  Tokyo University of Agriculture and Technology

関連論文

• Accelerating Hilbert-Huang Transform using GPU

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