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Title: In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned

Abstract

The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [3];  [3];  [4];  [4];  [5];  [1];  [6];  [6]; ORCiD logo [1]
  1. ORNL
  2. University of Oregon
  3. Kitware
  4. Argonne National Laboratory (ANL)
  5. Sandia National Laboratories (SNL)
  6. Princeton Plasma Physics Laboratory (PPPL)
Publication Date:
Research Org.:
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1557470
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Journal Volume: 11203; Conference: Workshop on In Situ Visualization (WOIV) - Frankfurt, , Germany - 6/24/2018 12:00:00 PM-6/28/2018 4:00:00 PM
Country of Publication:
United States
Language:
English

Citation Formats

Kim, Mark B., Kress, James M., Choi, Jong Youl, Podhorszki, Norbert, Klasky, Scott A., Wolf, Matthew D., Mehta, Kshitij V., Huck, Kevin, Geveci, Berk, Phillip, Sujin, Maynard, Robert, Guo, Hanqi, Peterka, Tom, Moreland, Kenneth, Chang, Choong-Seock, Dominski, Julien, Churchill, Michael, and Pugmire, Dave. In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. United States: N. p., 2018. Web. doi:10.1007/978-3-030-02465-9_16.
Kim, Mark B., Kress, James M., Choi, Jong Youl, Podhorszki, Norbert, Klasky, Scott A., Wolf, Matthew D., Mehta, Kshitij V., Huck, Kevin, Geveci, Berk, Phillip, Sujin, Maynard, Robert, Guo, Hanqi, Peterka, Tom, Moreland, Kenneth, Chang, Choong-Seock, Dominski, Julien, Churchill, Michael, & Pugmire, Dave. In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. United States. doi:10.1007/978-3-030-02465-9_16.
Kim, Mark B., Kress, James M., Choi, Jong Youl, Podhorszki, Norbert, Klasky, Scott A., Wolf, Matthew D., Mehta, Kshitij V., Huck, Kevin, Geveci, Berk, Phillip, Sujin, Maynard, Robert, Guo, Hanqi, Peterka, Tom, Moreland, Kenneth, Chang, Choong-Seock, Dominski, Julien, Churchill, Michael, and Pugmire, Dave. Fri . "In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned". United States. doi:10.1007/978-3-030-02465-9_16. https://www.osti.gov/servlets/purl/1557470.
@article{osti_1557470,
title = {In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned},
author = {Kim, Mark B. and Kress, James M. and Choi, Jong Youl and Podhorszki, Norbert and Klasky, Scott A. and Wolf, Matthew D. and Mehta, Kshitij V. and Huck, Kevin and Geveci, Berk and Phillip, Sujin and Maynard, Robert and Guo, Hanqi and Peterka, Tom and Moreland, Kenneth and Chang, Choong-Seock and Dominski, Julien and Churchill, Michael and Pugmire, Dave},
abstractNote = {The trends in high performance computing, where far more data can be computed that can ever be stored, have made in situ techniques an important area of research and development. Simulation campaigns, where domain scientists work with computer scientists to run a simulation and perform in situ analysis and visualization are important, and complex undertakings. In this paper we report our experiences performing in situ analysis and visualization on two campaigns. The two campaigns were related, but had important differences in terms of the codes that were used, the types of analysis and visualization required, and the visualization tools used. Further, we report the lessons learned from each campaign.},
doi = {10.1007/978-3-030-02465-9_16},
journal = {},
issn = {0302-9743},
number = ,
volume = 11203,
place = {United States},
year = {2018},
month = {6}
}

Conference:
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Works referenced in this record:

In Situ Methods, Infrastructures, and Applications on High Performance Computing Platforms
journal, June 2016

  • Bauer, A. C.; Abbasi, H.; Ahrens, J.
  • Computer Graphics Forum, Vol. 35, Issue 3
  • DOI: 10.1111/cgf.12930

Compressed ion temperature gradient turbulence in diverted tokamak edge
journal, May 2009

  • Chang, C. S.; Ku, S.; Diamond, P. H.
  • Physics of Plasmas, Vol. 16, Issue 5
  • DOI: 10.1063/1.3099329

DataSpaces: an interaction and coordination framework for coupled simulation workflows
journal, February 2011


A tight-coupling scheme sharing minimum information across a spatial interface between gyrokinetic turbulence codes
journal, July 2018

  • Dominski, J.; Ku, S.; Chang, C. -S.
  • Physics of Plasmas, Vol. 25, Issue 7
  • DOI: 10.1063/1.5044707

The global version of the gyrokinetic turbulence code GENE
journal, August 2011

  • Görler, T.; Lapillonne, X.; Brunner, S.
  • Journal of Computational Physics, Vol. 230, Issue 18
  • DOI: 10.1016/j.jcp.2011.05.034

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks: HELLO ADIOS
journal, August 2013

  • Liu, Qing; Logan, Jeremy; Tian, Yuan
  • Concurrency and Computation: Practice and Experience, Vol. 26, Issue 7
  • DOI: 10.1002/cpe.3125

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures
journal, May 2016

  • Moreland, Kenneth; Sewell, Christopher; Usher, William
  • IEEE Computer Graphics and Applications, Vol. 36, Issue 3
  • DOI: 10.1109/MCG.2016.48

The Tau Parallel Performance System
journal, May 2006

  • Shende, Sameer S.; Malony, Allen D.
  • The International Journal of High Performance Computing Applications, Vol. 20, Issue 2
  • DOI: 10.1177/1094342006064482

Z-checker: A framework for assessing lossy compression of scientific data
journal, November 2017

  • Tao, Dingwen; Di, Sheng; Guo, Hanqi
  • The International Journal of High Performance Computing Applications, Vol. 33, Issue 2
  • DOI: 10.1177/1094342017737147