Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Somoclu: An Efficient Parallel Library for Self-Organizing Maps
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0002-1539-8256
2015 (English)Article in journal (Refereed) Epub ahead of print
Resource type
Text
Abstract [en]

Somoclu is a massively parallel tool for training self-organizing maps on large data sets written in C++. It builds on OpenMP for multicore execution, and on MPI for distributing the workload across the nodes in a 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. Python, R and MATLAB interfaces facilitate interactive use. Apart from fast execution, memory use is highly optimized, enabling training large emergent maps even on a single computer.

Place, publisher, year, edition, pages
2015.
Keyword [en]
self-organizing maps, som, esom, emergent self-organizing maps, GPU, CUDA, MPI, parallel implementation, distributed computing, machine learning
National Category
Computer Science
Identifiers
URN: urn:nbn:se:hb:diva-8540OAI: oai:DiVA.org:hb-8540DiVA: diva2:894331
Available from: 2016-01-14 Created: 2016-01-14 Last updated: 2016-01-14

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Wittek, Peter
By organisation
Faculty of Librarianship, Information, Education and IT
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 134 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf