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A terminology for in situ visualization and analysis systems

Journal Article · · International Journal of High Performance Computing Applications
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  1. Univ. of Oregon, Eugene, OR (United States)
  2. ANSYS Inc., Apex, NC (United States)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Kitware, Inc., Clifton Park, NY (United States)
  5. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  7. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  8. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  9. Argonne National Lab. (ANL), Argonne, IL (United States)
  10. Swiss National Supercomputing Centre, Lugano (Switzerland)
  11. NVIDIA Corp., Santa Clara, CA (United States)
  12. Univ. of Stuttgart (Germany)
  13. Technische Univ. Kaiserslautern (Germany)
  14. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  15. Univ. of Utah, Salt Lake City, UT (United States). School of Computing
  16. RWTH Aachen Univ. (Germany)
  17. Univ. of California, Davis, CA (United States)
  18. Indian Inst. of Technology (IIT), Kanpur (India)
  19. Univ. of Texas, Austin, TX (United States). Texas Advanced Computing Center
  20. Rutgers Univ., New Brunswick, NJ (United States)
  21. Cenaero, Gosselies (Belgium)
  22. Walt Disney Animation Studios, Burbank, CA (United States)
  23. Univ. of Illinois at Urbana-Champaign, IL (United States). National Center for Supercomputing Applications
  24. The Ohio State Univ., Columbus, OH (United States)
  25. Air Force Research Lab. (AFRL), Wright-Patterson AFB, OH (United States)
  26. Intel Corp., Austin, TX (United States)
  27. Intelligent Light, Rutherford, NJ (United States)
  28. Univ. of Nebraska, Lincoln, NE (United States)
  29. Naval Research Lab. (NRL), Washington, DC (United States)
+ Show Author Affiliations

The term “in situ processing” has evolved over the last decade to mean both a specific strategy for visualizing and analyzing data and an umbrella term for a processing paradigm. The resulting confusion makes it difficult for visualization and analysis scientists to communicate with each other and with their stakeholders. To address this problem, a group of over 50 experts convened with the goal of standardizing terminology. This paper summarizes their findings and proposes a new terminology for describing in situ systems. An important finding from this group was that in situ systems are best described via multiple, distinct axes: integration type, proximity, access, division of execution, operation controls, and output type. Here, they discuss these axes, evaluate existing systems within the axes, and explore how currently used terms relate to the axes.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1676402
Alternate ID(s):
OSTI ID: 1831179
OSTI ID: 1834093
OSTI ID: 1863676
OSTI ID: 1774536
OSTI ID: 1784151
Journal Information:
International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 6 Vol. 34; ISSN 1094-3420
Publisher:
SAGECopyright Statement
Country of Publication:
United States
Language:
English

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A terminology for in situ visualization and analysis systems
Journal Article · Sun Nov 01 00:00:00 EDT 2020 · International Journal of High Performance Computing Applications · OSTI ID:1774536

Related Subjects

97 MATHEMATICS AND COMPUTING
in situ processing
scientific visualization