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This paper argues that randomized linear sketching is a natural tool for on-the-fly compression of data matrices that arise from large-scale scientific simulations and data collection.
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Available at http://arXiv.org/abs/1504.06729 , July 2016
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C. Boutsidis, D. Woodruff, and P. Zhong
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2011
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M. W. Mahoney
2011
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J. A. Tropp
2011
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A. Bejan
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2016
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M. Cohen
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D. Feldman, M. Volkov, and D. Rus
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M. Ghashami, E. Liberty, J. M. Phillips, and D. P. Woodruff
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Available at http://arXiv.org/abs/1604.01429 , Apr. 2016
J. Upadhyay · 2016
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J. Guinness and D. Hammerling
2017
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J. A. Tropp, A. Yurtsever, M. Udell, and V. Cevher
2017
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J. A. Tropp, A. Yurtsever, M. Udell, and V. Cevher
2017
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Available at http://arXiv.org/abs/1609.00048 , v1
J. A. Tropp, A. Yurtsever, M. Udell, and V. Cevher · 2017
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A. Yurtsever, M. Udell, J. A. Tropp, and V. Cevher
2017
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J. Calhoun, F. Cappello, L. N. Olson, M. Snir, and W. D. Gropp
2018
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S. Gratton and D. Titley-Peloquin
2018
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M. Lopes, S. Wang, and M. Mahoney
2018
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M. R. Malik, B. J. Isaac, A. Coussement, P. J. Smith, and A. Parente
2018
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Manuscript, Oct. 2018
Y. Sun, Y. Guo, J. A. Tropp, and M. Udell · 2018
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R. Zimmermann, B. Pedersdorf, and K. Willcox
2018
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Physical sciences division, national oceanic and atmospheric administration
2019
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Available at http://arXiv.org/abs/1607.01649v3 , Feb. 2019
P.-G. Martinsson · 2019
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Y. Sun, Y. Guo, J. A. Tropp, and M. Udell
2041
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