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

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

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

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.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 20th International Conference on e-Science, e-Science 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350365610
DOIs
StatePublished - 2024
Event20th IEEE International Conference on e-Science, e-Science 2024 - Osaka, Japan
Duration: Sep 16 2024Sep 20 2024

Publication series

NameProceedings - 2024 IEEE 20th International Conference on e-Science, e-Science 2024

Conference

Conference20th IEEE International Conference on e-Science, e-Science 2024
Country/TerritoryJapan
CityOsaka
Period09/16/2409/20/24

Keywords

  • Human-computer Interactions
  • Real-time Systems
  • Visualization

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