2020
Childs, Hank; Ahern, Sean; Ahrens, James; Bauer, Andrew; Bennett, Janine; Bethel, Wes; Bremer, Peer-Timo; Brugger, Eric; Cottam, Joseph; Dorier, Matthieu; Dutta, Soumya; Favre, Jean; Fogal, Thomas; Frey, Steffen; Garth, Christoph; Geveci, Berk; Godoy, William; Hansen, Charles; Harrison, Cyrus; Hentschel, Bernd; Insley, Joseph; Johnson, Chris; 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; Sane, Sudhanshu; Sauer, Franz; Sisneros, Robert; Shen, Han-Wei; Usher, Will; Vickery, Rhonda; Vishwanath, Venkatram; Wald, Ingo; Wang, Ruonan; Weber, Gunther; Whitlock, Brad; Wolf, Matthew; Yu, Hongfeng; Ziegeler, Sean
A terminology for in situ visualization and analysis systems Journal Article
In: The International Journal of High Performance Computing Applications, vol. 34, no. 6, pp. 676-691, 2020.
Abstract | Links | BibTeX | Tags: in situ processing, scientific visualization
@article{doi:10.1177/1094342020935991,
title = {A terminology for in situ visualization and analysis systems},
author = {Hank Childs and Sean Ahern and James Ahrens and Andrew Bauer and Janine Bennett and Wes Bethel and Peer-Timo Bremer and Eric Brugger and Joseph Cottam and Matthieu Dorier and Soumya Dutta and Jean Favre and Thomas Fogal and Steffen Frey and Christoph Garth and Berk Geveci and William Godoy and Charles Hansen and Cyrus Harrison and Bernd Hentschel and Joseph Insley and Chris Johnson and Scott Klasky and Aaron Knoll and James Kress and Matthew Larsen and Jay Lofstead and Kwan-Liu Ma and Preeti Malakar and Jeremy Meredith and Kenneth Moreland and Paul Navrátil and Patrick O’Leary and Manish Parashar and Valerio Pascucci and John Patchett and Tom Peterka and Steve Petruzza and Norbert Podhorszki and David Pugmire and Michel Rasquin and Silvio Rizzi and David Rogers and Sudhanshu Sane and Franz Sauer and Robert Sisneros and Han-Wei Shen and Will Usher and Rhonda Vickery and Venkatram Vishwanath and Ingo Wald and Ruonan Wang and Gunther Weber and Brad Whitlock and Matthew Wolf and Hongfeng Yu and Sean Ziegeler},
url = {https://dsscale.org/wp-content/uploads/2020/10/ISTP.pdf},
doi = {10.1177/1094342020935991},
year = {2020},
date = {2020-08-14},
journal = {The International Journal of High Performance Computing Applications},
volume = {34},
number = {6},
pages = {676-691},
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.},
keywords = {in situ processing, scientific visualization},
pubstate = {published},
tppubtype = {article}
}
Childs, Hank; Ahern, Sean; Ahrens, James; Bauer, Andrew; Bennett, Janine; Bethel, Wes; Bremer, Peer-Timo; Brugger, Eric; Cottam, Joseph; Dorier, Matthieu; Dutta, Soumya; Favre, Jean; Fogal, Thomas; Frey, Steffen; Garth, Christoph; Geveci, Berk; Godoy, William; Hansen, Charles; Harrison, Cyrus; Hentschel, Bernd; Insley, Joseph; Johnson, Chris; 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; Sane, Sudhanshu; Sauer, Franz; Sisneros, Robert; Shen, Han-Wei; Usher, Will; Vickery, Rhonda; Vishwanath, Venkatram; Wald, Ingo; Wang, Ruonan; Weber, Gunther; Whitlock, Brad; Wolf, Matthew; Yu, Hongfeng; Ziegeler, Sean
A terminology for in situ visualization and analysis systems Journal Article
In: The International Journal of High Performance Computing Applications, vol. 34, no. 6, pp. 676-691, 2020.
@article{doi:10.1177/1094342020935991,
title = {A terminology for in situ visualization and analysis systems},
author = {Hank Childs and Sean Ahern and James Ahrens and Andrew Bauer and Janine Bennett and Wes Bethel and Peer-Timo Bremer and Eric Brugger and Joseph Cottam and Matthieu Dorier and Soumya Dutta and Jean Favre and Thomas Fogal and Steffen Frey and Christoph Garth and Berk Geveci and William Godoy and Charles Hansen and Cyrus Harrison and Bernd Hentschel and Joseph Insley and Chris Johnson and Scott Klasky and Aaron Knoll and James Kress and Matthew Larsen and Jay Lofstead and Kwan-Liu Ma and Preeti Malakar and Jeremy Meredith and Kenneth Moreland and Paul Navrátil and Patrick O’Leary and Manish Parashar and Valerio Pascucci and John Patchett and Tom Peterka and Steve Petruzza and Norbert Podhorszki and David Pugmire and Michel Rasquin and Silvio Rizzi and David Rogers and Sudhanshu Sane and Franz Sauer and Robert Sisneros and Han-Wei Shen and Will Usher and Rhonda Vickery and Venkatram Vishwanath and Ingo Wald and Ruonan Wang and Gunther Weber and Brad Whitlock and Matthew Wolf and Hongfeng Yu and Sean Ziegeler},
url = {https://dsscale.org/wp-content/uploads/2020/10/ISTP.pdf},
doi = {10.1177/1094342020935991},
year = {2020},
date = {2020-08-14},
journal = {The International Journal of High Performance Computing Applications},
volume = {34},
number = {6},
pages = {676-691},
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.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}