Understanding performance-quality trade-offs in scientific visualization workflows with lossy compression

Jieyang Chen, Scott Klasky, David Pugmire, Matthew Wolf, Nicholas Thompson, Jeremy Logan, Kshitij Mehta, Lipeng Wan, Jong Youl Choi, Ben Whitney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of DRBSD-5 2019
Subtitle of host publication5th 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781728160177
DOIs
StatePublished - Nov 2019
Event5th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-5 2019 - Denver, United States
Duration: Nov 17 2019 → …

Publication series

NameProceedings 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

Conference

Conference5th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-5 2019
Country/TerritoryUnited States
CityDenver
Period11/17/19 → …

Keywords

  • Adios
  • Mgard
  • Reduction
  • Sz
  • Visualization
  • Zfp

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