Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression

Author:

Gong Qian,Liang Xin,Whitney Ben,Choi Jong Youl,Chen Jieyang,Wan Lipeng,Ethier Stéphane,Ku Seung-Hoe,Churchill R. Michael,Chang C. -S.,Ainsworth Mark,Tugluk Ozan,Munson Todd,Pugmire David,Archibald Richard,Klasky Scott

Publisher

Springer International Publishing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast Algorithms for Scientific Data Compression;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

2. Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

3. Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation – A Case Study on Simulation Data with Extreme Climate Events Analysis;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

4. An error-bounded median filter for correcting ECG baseline wander;Health Information Science and Systems;2023-09-26

5. Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders;Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing;2023-08-03

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