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2020 – today
- 2021
[j6]Ayan Biswas
, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens:
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27(12): 4439-4454 (2021)- [c14]Michael Will, Quincy Wofford, John Patchett, David H. Rogers, Jonas Lukasczyk, Christoph Garth:
Developing and Evaluating In Situ Visualization Algorithms using Containers. ISAV@SC 2021: 6-11 - [c13]Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens:
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition. EuroVis (Short Papers) 2021: 55-59 - 2020
- [j5]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [c12]Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens:
Foresight: analysis that matters for data reduction. SC 2020: 83
2010 – 2019
- 2019
- [i1]Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas:
Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations. CoRR abs/1912.03587 (2019) - 2018
- [j4]John Patchett, James P. Ahrens:
Optimizing Scientist Time through In Situ Visualization and Analysis. IEEE Computer Graphics and Applications 38(1): 119-127 (2018) - 2017
- [b1]John Patchett:
Delivering Supercomputing to the Ultrascale. Kaiserslautern University of Technology, Germany, 2017 - [c11]Francesca Samsel, David Honegger Rogers, John M. Patchett, Karen C. Tsai:
Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations. CHI Extended Abstracts 2017: 1126-1134 - [c10]Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers:
High-dimensional scientific data exploration via cinema. DSIA 2017: 1-5 - [c9]John M. Patchett, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens, Hans Hagen:
Parallel multi-layer ghost cell generation for distributed unstructured grids. LDAV 2017: 84-91 - [c8]Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay:
Extreme Event Analysis in Next Generation Simulation Architectures. ISC 2017: 277-293 - [c7]John M. Patchett, Boonthanome Nouanesengsy, Galen Gisler, James P. Ahrens, Hans Hagen:
In Situ and Post Processing Workflows for Asteroid Ablation Studies. EuroVis (Short Papers) 2017: 61-65 - 2016
- [j3]Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen:
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model. IEEE Trans. Vis. Comput. Graph. 22(1): 857-866 (2016) - 2014
- [c6]Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens:
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement. LDAV 2014: 43-50 - [c5]James P. Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen:
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis. SC 2014: 424-434 - 2013
- [j2]Dean N. Williams, Peer-Timo Bremer, Charles M. Doutriaux, John Patchett, Sean Williams, Galen M. Shipman, Ross Miller, David Pugmire, Brian E. Smith, Chad A. Steed, E. Wes Bethel, Hank Childs, Harinarayan Krishnan, Prabhat, Michael F. Wehner, Cláudio T. Silva, Emanuele Santos, David Koop, Tommy Ellqvist, Jorge Poco, Berk Geveci, Aashish Chaudhary, Andy Bauer, Alexander Pletzer, Dave Kindig, Gerald Potter, Thomas P. Maxwell:
Ultrascale Visualization of Climate Data. Computer 46(9): 68-76 (2013) - [c4]Boonthanome Nouanesengsy, John Patchett, James P. Ahrens, Andrew C. Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams:
A model for optimizing file access patterns using spatio-temporal parallelism. UltraVis@SC 2013: 4:1-4:8 - 2012
- [j1]Sean Williams, Mark R. Petersen, Matthew Hecht, Mathew Maltrud, John Patchett, James P. Ahrens, Bernd Hamann:
Interface Exchange as an Indicator for Eddy Heat Transport. Comput. Graph. Forum 31(3pt3): 1125-1134 (2012) - [c3]Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen:
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications. EGPGV@Eurographics 2012: 51-60 - [c2]John Bent, Sorin Faibish, Jim Ahrens, Gary Grider, John Patchett, Percy Tzelnic, Jon Woodring:
Jitter-free co-processing on a prototype exascale storage stack. MSST 2012: 1-5 - [p1]Utkarsh Ayachit, Berk Geveci, Kenneth Moreland, John Patchett, Jim Ahrens:
The ParaView Visualization Application. High Performance Visualization 2012
2000 – 2009
- 2003
- [c1]Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett:
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering. IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003: 33-40
Coauthor Index
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