Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest

Author:

Banerjee Tania1,Lee Jaemoon1,Choi Jong2,Gong Qian2,Chen Jieyang3,Chang Choongseok4,Klasky Scott2,Rangarajan Anand1,Ranka Sanjay1

Affiliation:

1. University of Florida,USA

2. Oak Ridge National Laboratory,USA

3. University of Alabama at Birmingham,USA

4. Princeton Plasma Physics Laboratory,USA

Publisher

IEEE

Reference42 articles.

1. Zstandard compression and the application/zstd media type;collet;Technical Report,2018

2. Huffman coding;moffat;ACM CSUR,2019

3. Coupling Exascale Multiphysics Applications: Methods and Lessons Learned

4. Extending the publish/subscribe abstraction for high-performance I/O and data management at extreme scale;logan;Bulletin of the IEEE Technical Committee on Data Engineering,2020

5. Quasi-Newton Methods, Motivation and Theory

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