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Title: Challenges in Visual Analysis of Ensembles

Abstract

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.

Authors:
 [1]
  1. Sandia National Laboratories, NM (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1429665
Report Number(s):
SAND-2017-11513J
Journal ID: ISSN 0272-1716; 658110
Grant/Contract Number:  
AC04-94AL85000; NA0003525
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Computer Graphics and Applications
Additional Journal Information:
Journal Volume: 38; Journal Issue: 2; Journal ID: ISSN 0272-1716
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; computer graphics; ensemble analysis; ensemble visualization; in situ visualization; computational modeling; parameter; space analysis; data exploration; multivariate data; visual analytics

Citation Formats

Crossno, Patricia. Challenges in Visual Analysis of Ensembles. United States: N. p., 2018. Web. doi:10.1109/MCG.2018.021951640.
Crossno, Patricia. Challenges in Visual Analysis of Ensembles. United States. doi:10.1109/MCG.2018.021951640.
Crossno, Patricia. Thu . "Challenges in Visual Analysis of Ensembles". United States. doi:10.1109/MCG.2018.021951640. https://www.osti.gov/servlets/purl/1429665.
@article{osti_1429665,
title = {Challenges in Visual Analysis of Ensembles},
author = {Crossno, Patricia},
abstractNote = {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.},
doi = {10.1109/MCG.2018.021951640},
journal = {IEEE Computer Graphics and Applications},
number = 2,
volume = 38,
place = {United States},
year = {2018},
month = {4}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Figure 1 Figure 1: Parameter Space Model of 15K run ensemble to study material fracturing, filtered by velocity value on left, showing in situ generated images of an anomalous run, which have been retrieved from a remote computing system.

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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.