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[Keyword] Hilbert-Huang Transform (HHT)(1hit)

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  • Evaluation of GPU-Based Empirical Mode Decomposition for Off-Line Analysis

    Pulung WASKITO  Shinobu MIWA  Yasue MITSUKURA  Hironori NAKAJO  

     
    PAPER

      Vol:
    E94-D No:12
      Page(s):
    2328-2337

    In off-line analysis, the demand for high precision signal processing has introduced a new method called Empirical Mode Decomposition (EMD), which is used for analyzing a complex set of data. Unfortunately, EMD is highly compute-intensive. In this paper, we show parallel implementation of Empirical Mode Decomposition on a GPU. We propose the use of “partial+total” switching method to increase performance while keeping the precision. We also focused on reducing the computation complexity in the above method from O(N) on a single CPU to O(N/P log (N)) on a GPU. Evaluation results show our single GPU implementation using Tesla C2050 (Fermi architecture) achieves a 29.9x speedup partially, and a 11.8x speedup totally when compared to a single Intel dual core CPU.