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