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GPU accelerated singular value thresholding

Abstract:: Matrix completion (MC) is widely used in machine learning and signal processing to fill in the missing data of an incomplete observation matrix. Singular value thresholding (SVT) is one of the most popular algorithms among numerous MC methods. A Python-based GPU-accelerated SVT software is presented in this paper. It is a user-friendly software package to minimise the nuclear norm with high accuracy and high computational efficiency. Its architecture and functionalities are illustrated, followed by a demonstration on how to use this software. Two examples, image inpainting and traffic sensing, are shown to illustrate potential applications of this software. Its impact on scientific and wider audiences is also analysed.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Li, X., Adámek, K., & Armour, W. (2023). GPU accelerated singular value thresholding. SoftwareX, 23, 101500–101500.

MLA Style

Li, X, et al. “GPU Accelerated Singular Value Thresholding.” SoftwareX, vol. 23, 2023, pp. 101500–00.

Chicago Style

Li, X, K Adámek, and W Armour. 2023. “GPU Accelerated Singular Value Thresholding.” SoftwareX 23: 101500–101500.
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Files:: Li_et_al_2023_GPU_accelerated_singular.pdf

(Preview, Version of record, pdf, 1.9MB, Terms of use)

Publisher copy:: 10.1016/j.softx.2023.101500

Authors

+ Li, X More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Oxford college:: St Edmund Hall
Role:: Author

+ Adámek, K More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Author
ORCID:: 0000-0003-2797-0595

+ Armour, W More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0003-1756-3064

+ Science and Technology Facilities Council More from this funder

Programme:: ST/T000570/1

Publisher:: Elsevier
Journal:: SoftwareX More from this journal
Volume:: 23
Pages:: 101500-101500
Article number:: 101500
Publication date:: 2023-08-30
Acceptance date:: 2023-08-07
DOI:: 10.1016/j.softx.2023.101500
EISSN:: 2352-7110

Language:: English
Keywords:: matrix completion

singular value thresholding (SVT)

GPU

singular value decomposition (SVD)

FFR
Pubs id:: 1521961
Local pid:: pubs:1521961
Deposit date:: 2023-09-05
ARK identifier:: ark:/29072/ora_a00229c91c67415ea89564dea3cccbc7

Terms of use

Copyright holder:: Elsevier
Copyright date:: 2023
Rights statement:: © 2023 Published by Elsevier B.V. This is an open access article under the CC BY license.

Licence:: CC Attribution (CC BY)

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