John Patchett

According to our database, John Patchett authored at least 25 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.

James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure

Int. J. High Perform. Comput. Appl., 2025

2024

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience.

Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

2021

Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.

Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens

IEEE Trans. Vis. Comput. Graph., 2021

Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.

Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens

Proceedings of the 21st Eurographics Conference on Visualization, 2021

Developing and Evaluating In Situ Visualization Algorithms using Containers.

Michael Will, Quincy Wofford, John Patchett, David H. Rogers, Jonas Lukasczyk, Christoph Garth

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

2020

A terminology for in situ visualization and analysis systems.

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

Int. J. High Perform. Comput. Appl., 2020

Foresight: analysis that matters for data reduction.

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

Proceedings of the International Conference for High Performance Computing, 2020

2019

Deep Learning-Based Feature-Aware Data Modeling for Complex Physics Simulations.

Qun Liu, Subhashis Hazarika, John M. Patchett, James Paul Ahrens, Ayan Biswas

CoRR, 2019

2018

Optimizing Scientist Time through In Situ Visualization and Analysis.

John Patchett, James P. Ahrens

IEEE Computer Graphics and Applications, 2018

2017

Delivering Supercomputing to the Ultrascale.

John Patchett

PhD thesis, 2017

In Situ and Post Processing Workflows for Asteroid Ablation Studies.

John M. Patchett, Boonthanome Nouanesengsy, Galen Gisler, James P. Ahrens, Hans Hagen

Proceedings of the 19th Eurographics Conference on Visualization, 2017

Extreme Event Analysis in Next Generation Simulation Architectures.

Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay

Proceedings of the High Performance Computing - 32nd International Conference, 2017

Parallel multi-layer ghost cell generation for distributed unstructured grids.

John M. Patchett, Boonthanome Nouanesengsy, Joachim Pouderoux, James P. Ahrens, Hans Hagen

Proceedings of the 7th IEEE Symposium on Large Data Analysis and Visualization, 2017

High-dimensional scientific data exploration via cinema.

Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers

Proceedings of the IEEE Workshop on Data Systems for Interactive Analysis, 2017

Employing Color Theory to Visualize Volume-rendered Multivariate Ensembles of Asteroid Impact Simulations.

Francesca Samsel, David Honegger Rogers, John M. Patchett, Karen C. Tsai

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

2016

In Situ Eddy Analysis in a High-Resolution Ocean Climate Model.

Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen

IEEE Trans. Vis. Comput. Graph., 2016

2014

An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis.

James P. Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen

Proceedings of the International Conference for High Performance Computing, 2014

ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement.

Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens

Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

2013

Ultrascale Visualization of Climate Data.

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

Computer, 2013

A model for optimizing file access patterns using spatio-temporal parallelism.

Boonthanome Nouanesengsy, John Patchett, James P. Ahrens, Andrew C. Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams

Proceedings of the 8th International Workshop on Ultrascale Visualization, 2013

2012

Interface Exchange as an Indicator for Eddy Heat Transport.

Sean Williams, Mark R. Petersen, Matthew Hecht, Mathew Maltrud, John Patchett, James P. Ahrens, Bernd Hamann

Comput. Graph. Forum, 2012

Jitter-free co-processing on a prototype exascale storage stack.

John Bent, Sorin Faibish, Jim Ahrens, Gary Grider, John Patchett, Percy Tzelnic, Jon Woodring

Proceedings of the IEEE 28th Symposium on Mass Storage Systems and Technologies, 2012

A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications.

Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen

Proceedings of the 12th Eurographics Symposium on Parallel Graphics and Visualization, 2012

The ParaView Visualization Application.

Utkarsh Ayachit, Berk Geveci, Kenneth Moreland, John Patchett, Jim Ahrens

Proceedings of the High Performance Visualization, 2012

2003

SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering.

Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett

Proceedings of the IEEE Symposium on Parallel and Large-Data Visualization and Graphics 2003, 2003