The development of algorithms for parallel knowledge discovery using graphics accelerators

Paweł Zieliński; Jan Mulawka

doi:10.1117/12.904125

6 October 2011 The development of algorithms for parallel knowledge discovery using graphics accelerators

Paweł Zieliński, Jan Mulawka

Proceedings Volume 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011; 80080P (2011) https://doi.org/10.1117/12.904125
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 2011, Wilga, Poland

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.

Citation Download Citation

Paweł Zieliński and Jan Mulawka "The development of algorithms for parallel knowledge discovery using graphics accelerators", Proc. SPIE 8008, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, 80080P (6 October 2011); https://doi.org/10.1117/12.904125

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