PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Regression for Large Datasets using an Ensemble of GPU-accelerated ELMs
Mark van Heeswijk, Yoan Miche, Erkki Oja and Amaury Lendasse
In: Large-Scale Machine Learning: Parallelism and Massive Datasets (NIPS 2009 Workshop), Friday December 11th, Whistler, Canada (NIPS 2009 Workshop).

Abstract

In this paper is presented an approach that allows for performing regression on large data sets in reasonable time. The main component of the approach consists of 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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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:6668
Deposited By:Amaury Lendasse
Deposited On:08 March 2010