@inproceedings{603bb8c38c1b4268ba7aee38e3db8505,
title = "Understanding performance-quality trade-offs in scientific visualization workflows with lossy compression",
abstract = "The cost of I/O is a significant challenge on current supercomputers, and the trend is likely to continue into the foreseeable future. This challenge is amplified in scientific visualization because of the requirement to consume large amounts of data before processing can begin. Lossy compression has become an important technique in reducing the cost of performing I/O. In this paper we consider the implications of using compressed data for visualization within a scientific workflow. We use visualization operations on simulation data that is reduced using three different state-of-the-art compression techniques. We study the storage efficiency and preservation of visualization features on the resulting compressed data, and draw comparisons between the three techniques used. Our contributions can help inform both scientists and researchers in the use and design of compression techniques for preservation of important visualization details.",
keywords = "Adios, Mgard, Reduction, Sz, Visualization, Zfp",
author = "Jieyang Chen and Scott Klasky and David Pugmire and Matthew Wolf and Nicholas Thompson and Jeremy Logan and Kshitij Mehta and Lipeng Wan and Choi, {Jong Youl} and Ben Whitney",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 5th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-5 2019 ; Conference date: 17-11-2019",
year = "2019",
month = nov,
doi = "10.1109/DRBSD-549595.2019.00006",
language = "English",
series = "Proceedings of DRBSD-5 2019: 5th International Workshop on Data Analysis and Reduction for Big Scientific Data - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--7",
booktitle = "Proceedings of DRBSD-5 2019",
}