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8th DRBSD@SC 2022: Dallas, TX, USA

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8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD@SC 2022, Dallas, TX, USA, November 13-18, 2022. IEEE 2022, ISBN 978-1-6654-6337-9
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Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson:
Message from the DRBSD-8 Workshop Chairs. v
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Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello:
Understanding the Effects of Modern Compressors on the Community Earth Science Model. 1-10
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Jinzhen Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens:
Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data. 11-20
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Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun:
Exploring Data Reduction Techniques for Additive Manufacturing Analysis. 21-28
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Hayden Sather, Alexander Pinard, Allison H. Baker, Dorit M. Hammerling:
What can real information content tell us about compressing climate model data? 29-36
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Zheming Jin, Jeffrey S. Vetter:
Evaluating Nonuniform Reduction in HIP and SYCL on GPUs. 37-43
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Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello:
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. 44-53
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Peng Zhou, Xiangyu Zou, Wen Xia:
Dynamic Clustering-based Sharding in Distributed Deduplication Systems. 54-55
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Aekyeung Moon, Jiaxi Chen, Seung Woo Son, Minjun Kim:
Characterization of Transform-Based Lossy Compression for HPC Datasets. 56-62

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