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- W2100952904 abstract "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." @default.
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- W2100952904 date "2011-05-01" @default.
- W2100952904 modified "2023-09-26" @default.
- W2100952904 title "Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition" @default.
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- W2100952904 doi "https://doi.org/10.1109/icassp.2011.5946808" @default.
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