Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets

Author:

Liu Jinyang1,Di Sheng2,Zhao Kai3,Liang Xin4,Chen Zizhong1,Cappello Franck2

Affiliation:

1. University of California,Riverside,CA,USA

2. Argonne National Laboratory,Lemont,IL,USA

3. University of Alabama at Birmingham,Biringham,AL,USA

4. University of Kentucky,Lexington,KY,USA

Publisher

IEEE

Cited by 12 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. CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

2. High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation;Proceedings of the ACM on Management of Data;2024-03-12

3. SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework;2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC);2023-12-18

4. 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

5. Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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