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A terminology for in situ visualization and analysis systems

Authors :
Aaron Knoll
Paul A. Navrátil
Steve Petruzza
Venkatram Vishwanath
Michel Rasquin
Silvio Rizzi
Jeremy S. Meredith
Thomas Fogal
Jay Lofstead
Bernd Hentschel
David Rogers
James Kress
Han-Wei Shen
Franz Sauer
Cyrus Harrison
Tom Peterka
David Pugmire
Sudhanshu Sane
Charles Hansen
Kenneth Moreland
Berk Geveci
Matthew Wolf
Kwan-Liu Ma
Janine C. Bennett
Rhonda Vickery
William F. Godoy
Sean B. Ziegeler
Ingo Wald
Eric Brugger
Christoph Garth
Steffen Frey
Joseph A. Insley
Jean M. Favre
Andrew Bauer
Soumya Dutta
Gunther H. Weber
Sean Ahern
Matthieu Dorier
Ruonan Wang
John Patchett
E. Wes Bethel
Chris R. Johnson
Valerio Pascucci
Patrick O'Leary
Preeti Malakar
Norbert Podhorszki
Hongfeng Yu
Brad Whitlock
Matthew Larsen
James Ahrens
Robert Sisneros
Joseph A. Cottam
Scott Klasky
Manish Parashar
Hank Childs
Peer-Timo Bremer
Will Usher
Source :
The International Journal of High Performance Computing Applications, vol 34, iss 6, International Journal of High Performance Computing Applications, vol 34, iss 6
Publication Year :
2020
Publisher :
eScholarship, University of California, 2020.

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.

Details

Database :
OpenAIRE
Journal :
The International Journal of High Performance Computing Applications, vol 34, iss 6, International Journal of High Performance Computing Applications, vol 34, iss 6
Accession number :
edsair.doi.dedup.....070afd116d2dcb779f32cf9347bf71ee