A scalable multi-signal approach for the parallelization of self-organizing neural networks

Self-Organizing Neural Networks (SONNs) have a wide range of applications with massive computational requirements that often need to be satisfied with optimized parallel algorithms and implementations. In literature, SONN have been generally parallelized with GPU computing according to a single-sign...

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Bibliographic Details

Published in:	Neural networks Vol. 123; pp. 108 - 117
Main Authors:	Musci, Mirto, Parigi, Giacomo, Cantoni, Virginio, Piastra, Marco
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.03.2020
Subjects:	GPU parallelization Self-organizing adaptive map Self-organizing neural networks Surface reconstruction Surface reconstruction GPU parallelization Self-organizing adaptive map Self-organizing neural networks
ISSN:	0893-6080, 1879-2782, 1879-2782
Online Access:	Get full text
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