Toward Feature-Preserving Vector Field Compression-Reference-Cited by-同舟云学术

Toward Feature-Preserving Vector Field Compression

Author:

Liang Xin¹^ORCID,Di Sheng²^ORCID,Cappello Franck²,Raj Mukund³,Liu Chunhui⁴,Ono Kenji⁵,Chen Zizhong⁶^ORCID,Peterka Tom²,Guo Hanqi⁷^ORCID

Affiliation:

1. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

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

3. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA

4. Department of Mathematics, Kyoto University, Kyoto, Japan

5. Department of Informatics, Kyushu University, Fukuoka, Japan

6. Department of Computer Science and Engineering, University of California, Riverside, Riverside, CA

7. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

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5. cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11