6 October 2011 The development of algorithms for parallel knowledge discovery using graphics accelerators
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paweł Zieliński, Paweł Zieliński, Jan Mulawka, 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); doi: 10.1117/12.904125; https://doi.org/10.1117/12.904125
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