March 2026

Conference Paper

Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data

By:
Pugmire, David R; Moreland, Kenneth D; Athawale, Tushar M; Hammer, James; Huang, Jian
Page Number:
1-6
Book Title:
2024 IEEE 20th International Conference on e-Science (e-Science)
Publication Date:
March 12, 2026
Publisher Location:
IEEE Computer Society, Los Alamitos, California, United States of America
Conference Name:
1st International Workshop on Near Real-time Data Processing for Interconnected Scientific Instruments (NRDPISI-1)
Conference Location:
Osaka, Japan
Conference Sponsor:
IEEE
View DOI Listing:
https://doi.org/10.1109/e-Science62913.2024.10678727

Abstract

The rapid advancement in scientific simulations and experimental facilities has resulted in the generation of vast amounts of data at unprecedented scales. The analysis and visualization of large amounts of data is a challenge in and of itself, but the requirements for timeliness significantly magnify these difficulties. Near real-time visualization is critical to monitor and analyze the data produced by these large facilities, but current production tools are not well-suited to these requirements. In this position paper, we share our perspective on some of the challenges, and thus, opportunities for research that stand in the way of near-real-time visualization of large scientific data.

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