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

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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Published
2024-09-16
DOI
https://doi.org/10.1109/e-science62913.2024.10678727
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

David Pugmire, Jian Huang, James L. Hammer, Tushar M. Athawale et al.
Data Visualization and Analytics
article

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

David Pugmire, Jian Huang, James L. Hammer, Tushar M. Athawale, Kenneth Moreland
article en

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.

Oak Ridge National Laboratory (US), Knoxville College (US), University of Tennessee at Knoxville (US)
U.S. Department of Energy
Climate action
Openalex Percentile: Top 85%
Data Visualization and Analytics
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Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data — David Pugmire, Jian Huang, et al. · (2024) | TGRS Research Map | TGRS