Optimizing Scientist Time through In Situ Visualization and Analysis
Abstract
In situ processing produces reduced size persistent representations of a simulations state while the simulation is running. The need for in situ visualization and data analysis is often described in terms of supercomputer size and performance in relation to available storage size.
- Authors:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Publication Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- Contributing Org.:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Univ. of Kaiserslautern (Germany); Kitware Inc., Clifton Park, NY (United States)
- OSTI Identifier:
- 1463483
- Report Number(s):
- LA-UR-17-28785
Journal ID: ISSN 0272-1716
- Grant/Contract Number:
- AC52-06NA25396
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Computer Graphics and Applications
- Additional Journal Information:
- Journal Volume: 38; Journal Issue: 1; Journal ID: ISSN 0272-1716
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; visualization; in situ; data analysis; lossless compression; feature extraction; scientific computing; data visualization; computational modeling; atmospheric modeling; solar system; supercomputers; data models
Citation Formats
Patchett, John, and Ahrens, James. Optimizing Scientist Time through In Situ Visualization and Analysis. United States: N. p., 2018.
Web. doi:10.1109/MCG.2018.011461533.
Patchett, John, & Ahrens, James. Optimizing Scientist Time through In Situ Visualization and Analysis. United States. https://doi.org/10.1109/MCG.2018.011461533
Patchett, John, and Ahrens, James. Thu .
"Optimizing Scientist Time through In Situ Visualization and Analysis". United States. https://doi.org/10.1109/MCG.2018.011461533. https://www.osti.gov/servlets/purl/1463483.
@article{osti_1463483,
title = {Optimizing Scientist Time through In Situ Visualization and Analysis},
author = {Patchett, John and Ahrens, James},
abstractNote = {In situ processing produces reduced size persistent representations of a simulations state while the simulation is running. The need for in situ visualization and data analysis is often described in terms of supercomputer size and performance in relation to available storage size.},
doi = {10.1109/MCG.2018.011461533},
journal = {IEEE Computer Graphics and Applications},
number = 1,
volume = 38,
place = {United States},
year = {2018},
month = {3}
}
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