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Somoclu: An Efficient Distributed Library for Self-Organizing Maps
University of Borås, Swedish School of Library and Information Science.
2013 (English)In: arXiv, E-ISSN 2331-8422Article in journal (Refereed) Published
Abstract [en]

Somoclu is a C++ tool for training self-organizing maps on large data sets using a high-performance cluster. It builds on MPI for distributing the workload across the nodes of the cluster. It is also able to boost training by using CUDA if graphics processing units are available. A sparse kernel is included, which is useful for high-dimensional but sparse data, such as the vector spaces common in text mining workflows. The code is released under GNU GPLv3 licence.

Place, publisher, year, edition, pages
Cornell University , 2013.
Keywords [en]
Self-Organizing Maps, GPU, Distributed Computing
National Category
Computer and Information Sciences
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-1803Local ID: 2320/13319OAI: oai:DiVA.org:hb-1803DiVA, id: diva2:869881
Note

Sponsorship:

This work was supported by the European Commission Seventh Framework Programme under Grant Agreement Number FP7-601138 PERICLES and by the AWS in Education Machine Learning Grant award

Available from: 2015-11-13 Created: 2015-11-13 Last updated: 2018-01-10

Open Access in DiVA

fulltext(196 kB)322 downloads
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Other links

http://arxiv.org/abs/1305.1422

Authority records BETA

Wittek, Peter

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • sv-SE
  • Other locale
More languages
Output format
  • html
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