Somoclu: An Efficient Distributed Library for Self-Organizing Maps
2013 (English)In: arXiv.orgArticle in journal (Refereed)
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.
Self-Organizing Maps, GPU, Distributed Computing
Computer and Information Science
Research subject Library and Information Science
IdentifiersURN: urn:nbn:se:hb:diva-1803Local ID: 2320/13319OAI: oai:DiVA.org:hb-1803DiVA: diva2:869881
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 award2015-11-132015-11-13