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Proceedings Paper

The development of algorithms for parallel knowledge discovery using graphics accelerators
Author(s): Paweł Zieliński; Jan Mulawka
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Paper Abstract

The paper broaches topics of selected knowledge discovery algorithms. Different implementations have been verified on parallel platforms, including graphics accelerators using CUDA technology, multi-core microprocessors using OpenMP and many graphics accelerators. Results of investigations have been compared in terms of performance and scalability. Different types of data representation were also tested. The possibilities of both platforms, using the classification algorithms: the k-nearest neighbors, support vector machines and logistic regression are discussed.

Paper Details

Date Published: 7 October 2011
PDF: 8 pages
Proc. SPIE 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 80080P (7 October 2011); doi: 10.1117/12.904125
Show Author Affiliations
Paweł Zieliński, Warsaw Univ. of Technology (Poland)
Univ. of Warsaw (Poland)
Jan Mulawka, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8008:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011
Ryszard S. Romaniuk, Editor(s)

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