Title
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets
Abstract
Lossy compression plays a growing role in scientific simulations where the cost of storing their output data can span terabytes. Using error bounded lossy compression reduces the amount of storage for each simulation; however, there is no known bound for the upper limit on lossy compressibility. Correlation structures in the data, choice of compressor and error bound are factors allowing larger co...
Year
DOI
Venue
2021
10.1109/DRBSD754563.2021.00011
2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7)
Keywords
DocType
ISBN
Measurement,Adaptation models,Correlation,Data analysis,Costs,Statistical analysis,Conferences
Conference
978-1-7281-8672-6
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
David Krasowska100.34
Julie Bessac200.34
Robert Underwood341.42
Jon C. Calhoun433.41
Sheng Di573755.88
Franck Cappello63775251.47