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Lossy Scientific Data Compression With SPERR

  • Published:2023-05 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • language:
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Author:

Li Shaomeng1,Lindstrom Peter2,Clyne John1

Affiliation:

1. Nat’l Center for Atmospheric Research

2. Lawrence Livermore Nat’l Lab

Funder

National Center for Atmospheric Research

National Science Foundation

Lawrence Livermore National Laboratory

U.S. Department of Energy

Office of Science

Advanced Scientific Computing Research

Publisher

IEEE

Cited by 8 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. Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing;Future Generation Computer Systems;2025-02

2. Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. CereSZ: Enabling and Scaling Error-bounded Lossy Compression on Cerebras CS-2;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03

4. 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

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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