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Genten: Software for Generalized Tensor Decompositions v. 1.0.0

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/GenTen
https://doi.org/10.11578/dc.20201001.34

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Abstract

Tensors, or multidimensional arrays, are a powerful mathematical means of describing multiway data. This software provides computational means for decomposing or approximating a given tensor in terms of smaller tensors of lower dimension, focusing on decomposition of large, sparse tensors. These techniques have applications in many scientific areas, including signal processing, linear algebra, computer vision, numerical analysis, data mining, graph analysis, neuroscience and more. The software is designed to take advantage of parallelism present emerging computer architectures such has multi-core CPUs, many-core accelerators such as the Intel Xeon Phi, and computation-oriented GPUs to enable efficient processing of large tensors.
Developers:
Phipps, Eric [1] ;  Kolda, Tamara [1] ;  Dunlavy, Daniel [1] ;  Ballard, Grey [1] ;  Plantenga, Todd [1]
  1. Sandia National Laboratories
Release Date:
2017-06-22
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
C++
Shell
C
CMake
Makefile
Python
Version:
1.0.0
Licenses:
Other (Commercial or Open-Source): https://github.com/sandialabs/GenTen?tab=License-1-ov-file#readme
Sponsoring Org.:
Code ID:
45463
Site Accession Number:
SCR# 2228.0; 7608
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/GenTen
https://doi.org/10.11578/dc.20201001.34

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Citation Formats

Phipps, Eric T., Kolda, Tamara G., Dunlavy, Daniel, Ballard, Grey, and Plantenga, Todd. Genten: Software for Generalized Tensor Decompositions v. 1.0.0. Computer Software. https://github.com/sandialabs/GenTen. USDOE. 22 Jun. 2017. Web. doi:10.11578/dc.20201001.34.
Phipps, Eric T., Kolda, Tamara G., Dunlavy, Daniel, Ballard, Grey, & Plantenga, Todd. (2017, June 22). Genten: Software for Generalized Tensor Decompositions v. 1.0.0. [Computer software]. https://github.com/sandialabs/GenTen. https://doi.org/10.11578/dc.20201001.34.
Phipps, Eric T., Kolda, Tamara G., Dunlavy, Daniel, Ballard, Grey, and Plantenga, Todd. "Genten: Software for Generalized Tensor Decompositions v. 1.0.0." Computer software. June 22, 2017. https://github.com/sandialabs/GenTen. https://doi.org/10.11578/dc.20201001.34.
@misc{ doecode_45463,
title = {Genten: Software for Generalized Tensor Decompositions v. 1.0.0},
author = {Phipps, Eric T. and Kolda, Tamara G. and Dunlavy, Daniel and Ballard, Grey and Plantenga, Todd},
abstractNote = {Tensors, or multidimensional arrays, are a powerful mathematical means of describing multiway data. This software provides computational means for decomposing or approximating a given tensor in terms of smaller tensors of lower dimension, focusing on decomposition of large, sparse tensors. These techniques have applications in many scientific areas, including signal processing, linear algebra, computer vision, numerical analysis, data mining, graph analysis, neuroscience and more. The software is designed to take advantage of parallelism present emerging computer architectures such has multi-core CPUs, many-core accelerators such as the Intel Xeon Phi, and computation-oriented GPUs to enable efficient processing of large tensors.},
doi = {10.11578/dc.20201001.34},
url = {https://doi.org/10.11578/dc.20201001.34},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20201001.34}},
year = {2017},
month = {jun}
}