26 April 2006 Accelerating SMO algorithm on parallel architectures
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Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61592Y (2006) https://doi.org/10.1117/12.674861
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland
Abstract
This paper presents a hardware based approach to accelerating sequential minimal optimization algorithm for training support vector machines. As an example of hardware that the algorithm can be accelerated on programmable graphics processors and processors supporting SIMD extensions have been chosen. Such hardware is becoming more popular in a consumer level PCs with each passing year and therefore solution proposed in this paper can benefit from present hardware that has not been utilized up until now.
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Jaroslaw Lipowski, Jaroslaw Lipowski, Stanislaw Jankowski, Stanislaw Jankowski, } "Accelerating SMO algorithm on parallel architectures", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61592Y (26 April 2006); doi: 10.1117/12.674861; https://doi.org/10.1117/12.674861
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