Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition

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,

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsin Hsu, Norden E. Huang, Wen-mei W. Hwu
• Keywords: ICASSP 2011, Multi-core Cpu Implementation, Precision Gpu Implementation, Programming Model, Signal Processing