The development of algorithms for parallel knowledge discovery using graphics accelerators

Details The development of algorithms for parallel knowledge discovery using graphics accelerators The development of algorithms for parallel knowledge discovery using graphics accelerators

Jun 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011spie.8008e..24z&link_type=abstract

Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011. Edited by Romaniuk, Ry

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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.

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