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7th @DRBSDSC 2021: St. Louis, MO, USA

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2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD@SC 2021, St. Louis, MO, USA, November 14, 2021. IEEE 2021, ISBN 978-1-7281-8672-6
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  - conf/sc/UnderwoodMCDC21
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Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello:
Productive and Performant Generic Lossy Data Compression with LibPressio. 1-10
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  - conf/sc/DashYSWF21
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Sajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng:
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. 11-18
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Romit Maulik, Gianmarco Mengaldo:
PyParSVD: A streaming, distributed and randomized singular-value-decomposition library. 19-25
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Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky:
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. 26-32
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Yu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence:
TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather Simulations. 33-39
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Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. 40-46
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David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. 47-53

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