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PyParSVD: A streaming, distributed and randomized
  singular-value-decomposition library

PyParSVD: A streaming, distributed and randomized singular-value-decomposition library

19 August 2021
R. Maulik
G. Mengaldo
ArXiv (abs)PDFHTMLGithub (61★)

Papers citing "PyParSVD: A streaming, distributed and randomized singular-value-decomposition library"

5 / 5 papers shown
Unlocking massively parallel spectral proper orthogonal decompositions
  in the PySPOD package
Unlocking massively parallel spectral proper orthogonal decompositions in the PySPOD packageComputer Physics Communications (CPC), 2023
Marcin Rogowski
Brandon C. Y. Yeung
Oliver T. Schmidt
R. Maulik
Lisandro Dalcin
M. Parsani
G. Mengaldo
177
12
0
21 Sep 2023
Latent State Models of Training Dynamics
Latent State Models of Training Dynamics
Michael Y. Hu
Angelica Chen
Naomi Saphra
Dong Wang
488
18
0
18 Aug 2023
Scalable Methods for Computing Sharp Extreme Event Probabilities in
  Infinite-Dimensional Stochastic Systems
Scalable Methods for Computing Sharp Extreme Event Probabilities in Infinite-Dimensional Stochastic SystemsStatistics and computing (Stat. Comput.), 2023
Timo Schorlepp
Shanyin Tong
T. Grafke
G. Stadler
333
11
0
21 Mar 2023
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization
  and Data Compression
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data CompressionEngineering computations (Eng. Comput.), 2022
Gabriel F. Barros
Malú Grave
J. Camata
A. Coutinho
AI4CE
216
3
0
16 Aug 2022
Fast Subspace Identification Method Based on Containerised Cloud
  Workflow Processing System
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing SystemIEEE Transactions on Automation Science and Engineering (T-ASE), 2021
Runze Gao
Yuanqing Xia
Guan Wang
Liwen Yang
Yufeng Zhan
160
4
0
29 Dec 2021
1
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