Parallel Implementation of a Machine Learning Algorithm on GPU

The capability for understanding data passes through the ability of producing an effective and fast classification of the information in a time frame that allows to keep and preserve the value of the information itself and its potential. Machine learning explores the study and construction of algori...

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Veröffentlicht in:	International journal of parallel programming Jg. 46; H. 5; S. 923 - 942
Hauptverfasser:	Cuomo, Salvatore, De Michele, Pasquale, Di Nardo, Emanuel, Marcellino, Livia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2018 Springer Nature B.V
Schlagworte:	Algorithms Classification Computer programming Computer Science Graphics processing units Machine learning Microprocessors Parallel processing Processor Architectures Self organizing maps Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Theory of Computation Self-organization map Fast data analysis and retrieval GP-GPU Machine learning
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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