Work

Bridging Information Theory and Practice for Scientific Lossy Compression

Year: 2026

Type: conference-paper

Source: ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC)

DOI: 10.1145/3806645.3815106

Authors: Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello

Institutions: Virginia Tech, Argonne National Laboratory, University of California, Riverside, Florida State University

Language: English

Topic: Advanced Data Compression Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: Frameworks: FZ: A fine-tunable cyberinfrastructure framework to streamline specialized lossy compression development

OpenAlex ID: W7168024192

FWCI:

Cites: 44

Cited by:

Related to: 10