Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points-Reference-Cited by-同舟云学术

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Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points

Published:2024-05-13 Issue: Volume: Page:4979-4992
ISSN:
Container-title:2024 IEEE 40th International Conference on Data Engineering (ICDE)
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Author:

Xia Mingze¹,Di Sheng²,Cappello Franck²,Jiao Pu¹,Zhao Kai³,Liu Jinyang⁴,Wu Xuan¹,Liang Xin⁵,Guo Hanqi⁶

Affiliation:

1. University of Kentucky,Lexington,USA

2. Argonne National Laboratory,Lemont,USA

3. Florida State University,Tallahassee,USA

4. University of California, Riverside,Riverside,USA

5. University of Kentucky, Lexington, USA

6. The Ohio State University,Columbus,USA

Funder

U.S. Department of Energy

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10597630/10597390/10597764.pdf?arnumber=10597764

Reference49 articles.

1. Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

2. Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation

3. Fast and Efficient Compression of Floating-Point Data

4. Fixed-Rate Compressed Floating-Point Arrays

5. Multilevel Techniques for Compression and Reduction of Scientific Data---The Multivariate Case

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