Abstract is missing.
- Productive and Performant Generic Lossy Data Compression with LibPressioRobert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello. 1-10 [doi]
- Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical SummarySajal Dash, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng. 11-18 [doi]
- PyParSVD: A streaming, distributed and randomized singular-value-decomposition libraryRomit Maulik, Gianmarco Mengaldo. 19-25 [doi]
- Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data CompressionXinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu 0002, Norbert Podhorszki, Dongfang Zhao 0001, Feng Yan, Scott Klasky. 26-32 [doi]
- TributaryPCA: Distributed, Streaming PCA for In Situ Dimension Reduction with Application to Space Weather SimulationsYu Wang, Natalie Klein, Steven Morley, Vania Jordanova, Michael Henderson, Ayan Biswas, Earl Lawrence. 33-39 [doi]
- Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific AnalysisYuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello. 40-46 [doi]
- Exploring Lossy Compressibility through Statistical Correlations of Scientific DatasetsDavid Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello. 47-53 [doi]