Title
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression
Abstract
Lossy compression techniques have demonstrated promising results in significantly reducing the scientific data size while guaranteeing the compression error bounds. However, one important yet often neglected side effect of lossy scientific data compression is its impact on the performance of parallel I/O. Our key observation is that the compressed data size is often highly skewed across processes ...
Year
DOI
Venue
2021
10.1109/DRBSD754563.2021.00008
2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-7)
Keywords
DocType
ISBN
Data analysis,Conferences,Data compression,Bandwidth,Writing,Compressors,Libraries
Conference
978-1-7281-8672-6
Citations 
PageRank 
References 
0
0.34
0
Authors
12
Name
Order
Citations
PageRank
Xinying Wang101.01
Lipeng Wan253.79
Jieyang Chen303.04
Qian Gong401.01
Ben Whitney5194.38
Jinzhen Wang612.38
Ana Gainaru711.03
Qing Liu838925.62
Norbert Podhorszki900.34
Dongfang Zhao1036226.49
feng yan11407.98
Scott Klasky1200.34