SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors-Reference-Cited by-同舟云学术

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

Published:2023-04-01 Issue:2 Volume:9 Page:485-498
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Liang Xin¹^ORCID,Zhao Kai²^ORCID,Di Sheng³^ORCID,Li Sihuan⁴^ORCID,Underwood Robert³^ORCID,Gok Ali M.⁵,Tian Jiannan⁶,Deng Junjing⁷,Calhoun Jon C.⁸^ORCID,Tao Dingwen⁶^ORCID,Chen Zizhong⁹^ORCID,Cappello Franck³

Affiliation:

1. Department of Computer Science, University of Kentucky, Lexington, KY, USA

2. Department of Computer Science, University of Alabama at Birmingham, Birmingham, AL, USA

3. Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA

4. Facebook Inc., Menlo Park, CA, USA

5. Cerebras Systems, Sunnyvale, CA, USA

6. Department of Computer Science, Indiana University, Bloomington, IN, USA

7. Advanced Photon Source, Argonne National Laboratory, Lemont, IL, USA

8. Holcombe Department of Electrical and Computer Engineering, Clemson University, Clemson, SC, USA

9. Department of Computer Science & Engineering, University of California, Riverside, Riverside, CA, USA

Funder

Exascale Computing Project

Office of Science and the National Nuclear Security Administration

U.S. Department of Energy

Office of Science and DOE Advanced Scientific Computing Research office

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

https://ieeexplore.ieee.org/ielam/6687317/10068313/9866018-aam.pdf

Reference48 articles.

1. Fixed-Rate Compressed Floating-Point Arrays

2. End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform

3. SZX: An ultra-fast error-bounded lossy compressor for scientific datasets;yu,2022

4. VAPOR: A Visualization Package Tailored to Analyze Simulation Data in Earth System Science

5. Compression Using Lossless Decimation: Analysis and Application

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