@inproceedings{ae5f116bb4a04474be3362b4a38d9934,
title = "PyParSVD: A streaming, distributed and randomized singular-value-decomposition library",
abstract = "We introduce PyParSVD11https://github.com/Romit-Maulik/PyParSVD, a Python library that implements a streaming, distributed and randomized algorithm for the singular value decomposition. To demonstrate its effectiveness, we extract coherent structures from scientific data. Futhermore, we show weak scaling assessments on up to 256 nodes of the Theta machine at Argonne Leadership Computing Facility, demonstrating potential for large-scale data analyses of practical data sets.",
author = "Romit Maulik and Gianmarco Mengaldo",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-7 2021 ; Conference date: 14-11-2021",
year = "2021",
doi = "10.1109/DRBSD754563.2021.00007",
language = "English (US)",
series = "Proceedings of DRBSD-7 2021: 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "19--25",
booktitle = "Proceedings of DRBSD-7 2021",
address = "United States",
}