3277

Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs

Mark Van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
Helsinki University of Technology – Dept. of Information and Computer Science, Konemiehentie 2, 02015 HUT – Finland
ESANN2010 18th European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (2010) Publisher: d-side Publications, Pages: 309-314

@conference{van2010solving,

   title={Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs},

   author={van Heeswijk, M. and Miche, Y. and Oja, E. and Lendasse, A. and Verleysen, M.},

   booktitle={European Symposium on Artificial Neural Networks (ESANN) 2010}

}

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This paper presents an approach that allows for performing regression on large data sets in reasonable time. The main component of the approach consists in speeding up the slowest operation of the used algorithm by running it on the Graphics Processing Unit (GPU) of the video card, instead of the processor (CPU). The experiments show a speedup of an order of magnitude by using the GPU, and competitive performance on the regression task. Furthermore, the presented approach lends itself for further parallelization, that has still to be investigated.
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