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G-means improved for Cell BE environment

Autor
Foina, A. G.; Badia, R.M.; Ramirez-Fernandez, J.
Tipus d'activitat
Article en revista
Revista
Lecture notes in computer science
Data de publicació
2011-10-01
Volum
6310
Pàgina inicial
54
Pàgina final
65
DOI
https://doi.org/10.1007/978-3-642-16233-6_8 Obrir en finestra nova
Resum
The performance gain obtained by the adaptation of the G-means algorithm for a Cell BE environment using the CellSs framework is described. G-means is a clustering algorithm based on k-means, used to find the number of Gaussian distributions and their centers inside a multi-dimensional dataset. It is normally used for data mining pplications, and its execution can be divided into 6 execution steps. This paper analyzes each step to select which of them could be improved. In the implementation, th...
Paraules clau
Cell BE, Data mining, Parallel programming, Software performance
Grup de recerca
CAP - Grup de Computació d'Altes Prestacions

Participants