Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis

Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello. Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. In 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD@SC 2021, St. Louis, MO, USA, November 14, 2021. pages 40-46, IEEE, 2021. [doi]

@inproceedings{LinDZJWCTFC21,
  title = {Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis},
  author = {Yuanjian Lin and Sheng Di and Kai Zhao and Sian Jin and Cheng Wang and Kyle Chard and Dingwen Tao and Ian T. Foster and Franck Cappello},
  year = {2021},
  doi = {10.1109/DRBSD754563.2021.00010},
  url = {https://doi.org/10.1109/DRBSD754563.2021.00010},
  researchr = {https://researchr.org/publication/LinDZJWCTFC21},
  cites = {0},
  citedby = {0},
  pages = {40-46},
  booktitle = {2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD@SC 2021, St. Louis, MO, USA, November 14, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-8672-6},
}