Lightweight Huffman Coding for Efficient GPU Compression-Reference-Cited by-同舟云学术

Lightweight Huffman Coding for Efficient GPU Compression

Published:2023-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th International Conference on Supercomputing
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Author:

Shah Milan¹^ORCID,Yu Xiaodong²^ORCID,Di Sheng²^ORCID,Becchi Michela¹^ORCID,Cappello Franck²^ORCID

Affiliation:

1. North Carolina State University, Raleigh, United States of America

2. Argonne National Laboratory, Lemont, United States of America

Publisher

ACM

Reference24 articles.

1. Bulent Abali , Bartholomew Balner , Hubertus Franke , and John J . Reilly . 2017 . Creating a dynamic Huffman table. Bulent Abali, Bartholomew Balner, Hubertus Franke, and John J. Reilly. 2017. Creating a dynamic Huffman table.

2. M. Ainsworth , O. Tugluk , B. Whitney , and S. Klasky . 2017 . MGARD: A Multilevel Technique for Compression of Floating-Point Data. In DRBSD-2 Workshop at Supercomputing. M. Ainsworth, O. Tugluk, B. Whitney, and S. Klasky. 2017. MGARD: A Multilevel Technique for Compression of Floating-Point Data. In DRBSD-2 Workshop at Supercomputing.

3. BlosC compressor. [n. d.]. http://blosc.org/. Online. BlosC compressor. [n. d.]. http://blosc.org/. Online.

4. FPC: A High-Speed Compressor for Double-Precision Floating-Point Data

5. Use cases of lossy compression for floating-point data in scientific data sets

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