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

被引：0

作者：

Pugmire, David ^{[1
]}

Moreland, Kenneth ^{[1
]}

Athawale, Tushar M. ^{[1
]}

Hammer, James ^{[2
]}

Huang, Jian ^{[2
]}

机构：

[1] Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN 37830 USA

[2] Univ Tennessee, Elect Engn & Comp Sci, Knoxville, TN USA

来源：

2024 IEEE 20TH INTERNATIONAL CONFERENCE ON E-SCIENCE, E-SCIENCE 2024 | 2024年

关键词：

Visualization; Real-time Systems; Humancomputer Interactions; NONPARAMETRIC MODELS;

D O I：

10.1109/e-Science62913.2024.10678727

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：6

共 38 条

[1] In Situ Visualization at Extreme Scale: Challenges and Opportunities
Ma, Kwan-Liu
IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2009, 29 (06) : 14 - 19
[2] Development of near real-time and archival Tsunami data visualization dashboard for Indonesia
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Sumargana, Lena
Adityawarman, Yudi
Yuniantoro, R. Muhammad Taufik
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[3] ColorMoves: Real-time Interactive Colormap Construction for Scientific Visualization
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[4] Real-Time Large-Scale Big Data Networks Analytics and Visualization Architecture
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Zhan, Justin
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2015 12TH INTERNATIONAL CONFERENCE & EXPO ON EMERGING TECHNOLOGIES FOR A SMARTER WORLD (CEWIT), 2015,
[5] Visualization approaches integrating real-time market data
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2004 IEEE PES POWER SYSTEMS CONFERENCE & EXPOSITION, VOLS 1 - 3, 2004, : 1550 - 1555
[6] Real-time Dynamic Visualization Techniques for Massive Geospatial Data
Zhou Ya'nan
Hu Xiaodong
Li Jun
2014 IEEE International Conference on Data Mining Workshop (ICDMW), 2014, : 1143 - 1149
[7] Emergence of scientific understanding in real-time ecological research practice
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HISTORY AND PHILOSOPHY OF THE LIFE SCIENCES, 2020, 42 (04):
[8] Platform for real-time data analysis and visualization based on Big Data methods
Ferreira, Gabriel
Alves, Paulo
de Almeida, Simone
PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021), 2021,
[9] Emergence of scientific understanding in real-time ecological research practice
Luana Poliseli
History and Philosophy of the Life Sciences, 2020, 42
[10] Research and analysis on visualization technology for power grid real-time monitoring
Zhao, L. (zhaolin@sgepri.sgcc.com.cn), 1600, Power System Technology Press (38): : 538 - 543

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