Challenges in Visual Analysis of Ensembles

Journal Article · Thu Apr 12 00:00:00 EDT 2018 · IEEE Computer Graphics and Applications

DOI:https://doi.org/10.1109/MCG.2018.021951640· OSTI ID:1429665

Crossno, Patricia ^[1]

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1. Sandia National Laboratories, NM (United States)

Modeling physical phenomena through computational simulation increasingly relies on generating a collection of related runs, known as an ensemble. In this paper, we explore the challenges we face in developing analysis and visualization systems for large and complex ensemble data sets, which we seek to understand without having to view the results of every simulation run. Implementing approaches and ideas developed in response to this goal, we demonstrate the analysis of a 15K run material fracturing study using Slycat, our ensemble analysis system.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• Grant/Contract Number: AC04-94AL85000; NA0003525
• OSTI ID: 1429665
• Report Number(s): SAND--2017-11513J; 658110
• Journal Information: IEEE Computer Graphics and Applications, Journal Name: IEEE Computer Graphics and Applications Journal Issue: 2 Vol. 38; ISSN 0272-1716
• Publisher: IEEE
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING
computational modeling
computer graphics
data exploration
ensemble analysis
ensemble visualization
in situ visualization
multivariate data
parameter
space analysis
visual analytics