PARALLEL IMPLEMENTATION OF MULTI-DIMENSIONAL ENSEMBLE EMPIRICAL MODE DECOMPOSITION
Parallel Software Implementation of DSP Algorithms
Presented by: Li-Wen Chang, Author(s): Li-Wen Chang, University of Illinois Urbana-Champaign, United States; Men-Tzung Lo, National Central University, Taiwan; Nasser Anssari, University of Illinois Urbana-Champaign, United States; Ke-Hsin Hsu, Norden Huang, National Central University, Taiwan; Wen-mei Hwu, University of Illinois Urbana-Champaign, United States
In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) architectures. Relative to a sequential C implementation, our double precision GPU implementation, using the CUDA programming model, achieves up to 48.6x speedup on NVIDIA Tesla C2050. Our multi-core CPU implementation, using the OpenMP programming model, achieves up to 11.3x speedup on two octal-core Intel Xeon x7550 CPUs.
Lecture Information
| Recorded: | 2011-05-27 17:55 - 18:15, Club H |
|---|---|
| Added: | 18. 6. 2011 02:14 |
| Number of views: | 41 |
| Video resolution: | 1024x576 px, 512x288 px |
| Video length: | 0:21:29 |
| Audio track: | MP3 [7.27 MB], 0:21:29 |
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