A terminology for in situ visualization and analysis systems-Reference-Cited by-同舟云学术

A terminology for in situ visualization and analysis systems

Published:2020-08-14 Issue:6 Volume:34 Page:676-691
ISSN:1094-3420
Container-title:The International Journal of High Performance Computing Applications
language:en
Short-container-title:The International Journal of High Performance Computing Applications

Author:

Childs Hank¹,Ahern Sean D.²,Ahrens James³,Bauer Andrew C.⁴,Bennett Janine⁵,Bethel E. Wes⁶,Bremer Peer-Timo⁷,Brugger Eric⁷,Cottam Joseph⁸,Dorier Matthieu⁹,Dutta Soumya³,Favre Jean M.¹⁰,Fogal Thomas¹¹,Frey Steffen¹²,Garth Christoph¹³,Geveci Berk⁴,Godoy William F.¹⁴^ORCID,Hansen Charles D.¹⁵,Harrison Cyrus⁷,Hentschel Bernd¹⁶,Insley Joseph⁹,Johnson Chris R.¹⁵,Klasky Scott¹⁴,Knoll Aaron¹⁵,Kress James¹,Larsen Matthew⁷,Lofstead Jay⁵,Ma Kwan-Liu¹⁷,Malakar Preeti¹⁸,Meredith Jeremy¹⁴^ORCID,Moreland Kenneth⁵,Navrátil Paul¹⁹,O’Leary Patrick⁴,Parashar Manish²⁰,Pascucci Valerio¹⁵,Patchett John³,Peterka Tom⁹,Petruzza Steve¹⁵,Podhorszki Norbert¹⁴,Pugmire David¹⁴,Rasquin Michel²¹,Rizzi Silvio⁹,Rogers David H.³,Sane Sudhanshu¹^ORCID,Sauer Franz²²,Sisneros Robert²³,Shen Han-Wei²⁴,Usher Will¹⁵,Vickery Rhonda²⁵,Vishwanath Venkatram⁹,Wald Ingo²⁶,Wang Ruonan¹⁴,Weber Gunther H.⁶,Whitlock Brad²⁷,Wolf Matthew¹⁴,Yu Hongfeng²⁸,Ziegeler Sean B.²⁹

Affiliation:

1. University of Oregon, Eugene, OR, USA

2. ANSYS Inc

3. Los Alamos National Laboratory

4. Kitware Inc

5. Sandia National Laboratories

6. Lawrence Berkeley National Laboratory

7. Lawrence Livermore National Laboratory

8. Pacific Northwest National Laboratory

9. Argonne National Laboratory

10. Swiss National Supercomputing Centre

11. NVIDIA Corp

12. Universität Stuttgart, Stuttgart, Germany

13. Technische Universität Kaiserslautern, Kaiserslautern, Germany

14. Oak Ridge National Laboratory

15. University of Utah School of Computing, Salt Lake City, UT, USA

16. RWTH Aachen University, Aachen, Germany

17. University of California, Davis, CA, USA

18. Indian Institute of Technology, Kanpur, India

19. Texas Advanced Computing Center

20. Rutgers University, New Brunswick, NJ, USA

21. Cenaero

22. Walt Disney Animation Studios

23. University of Illinois at Urbana-Champaign National Center for Supercomputing Applications

24. Ohio State University, Columbus, OH, USA

25. US Air Force Research Laboratory

26. Intel Corp

27. Intelligent Light

28. University of Nebraska-Lincoln, Lincoln, NE, USA

29. US Naval Research Laboratory

Abstract

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. This paper discusses these axes, evaluates existing systems within the axes, and explores how currently used terms relate to the axes.

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

Link

http://journals.sagepub.com/doi/pdf/10.1177/1094342020935991

Reference54 articles.

1. Improved post hoc flow analysis via Lagrangian representations

2. Performance Analysis, Design Considerations, and Applications of Extreme-Scale In Situ Infrastructures

3. The SENSEI Generic In Situ Interface

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