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Proceedings Paper

Accelerating SMO algorithm on parallel architectures
Author(s): Jaroslaw Lipowski; Stanislaw Jankowski
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Paper 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.

Paper Details

Date Published: 26 April 2006
PDF: 9 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61592Y (26 April 2006); doi: 10.1117/12.674861
Show Author Affiliations
Jaroslaw Lipowski, Warsaw Univ. of Technology (Poland)
Stanislaw Jankowski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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