John Patchett

21 papers A 2C 1Misc 1Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.
Int. J. High Perform. Comput. Appl.
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
2024 — conf
Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience.
SC Workshops
Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider
2021 — conf
Developing and Evaluating In Situ Visualization Algorithms using Containers.
ISAV@SC
Michael Will, Quincy Wofford, John Patchett, David H. Rogers, Jonas Lukasczyk, Christoph Garth
2021 J jnl
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.
IEEE Trans. Vis. Comput. Graph.
Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
2021 — conf
Selection of Optimal Salient Time Steps by Non-negative Tucker Tensor Decomposition.
EuroVis (Short Papers)
Jesus Pulido, John Patchett, Manish Bhattarai, Boian S. Alexandrov, James P. Ahrens
2020 J jnl
A terminology for in situ visualization and analysis systems.
Int. J. High Perform. Comput. Appl.
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
2020 A conf
Foresight: analysis that matters for data reduction.
SC
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
2018 J jnl
Optimizing Scientist Time through In Situ Visualization and Analysis.
IEEE Computer Graphics and Applications
John Patchett, James P. Ahrens
2017 — —
Delivering Supercomputing to the Ultrascale.
John Patchett
2017 C conf
Extreme Event Analysis in Next Generation Simulation Architectures.
ISC
Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay
2017 — conf
High-dimensional scientific data exploration via cinema.
DSIA
Jonathan Woodring, James P. Ahrens, John Patchett, Cameron Tauxe, David H. Rogers
2016 J jnl
In Situ Eddy Analysis in a High-Resolution Ocean Climate Model.
IEEE Trans. Vis. Comput. Graph.
Jonathan Woodring, Mark R. Petersen, Andre Schmeißer, John Patchett, James P. Ahrens, Hans Hagen
2014 — conf
ADR visualization: A generalized framework for ranking large-scale scientific data using Analysis-Driven Refinement.
LDAV
Boonthanome Nouanesengsy, Jonathan Woodring, John Patchett, Kary L. Myers, James P. Ahrens
2014 A conf
An Image-Based Approach to Extreme Scale in Situ Visualization and Analysis.
SC
James P. Ahrens, Sébastien Jourdain, Patrick O'Leary, John Patchett, David H. Rogers, Mark R. Petersen
2013 — conf
A model for optimizing file access patterns using spatio-temporal parallelism.
UltraVis@SC
Boonthanome Nouanesengsy, John Patchett, James P. Ahrens, Andrew C. Bauer, Aashish Chaudhary, Ross Miller, Berk Geveci, Galen M. Shipman, Dean N. Williams
2013 J jnl
Ultrascale Visualization of Climate Data.
Computer
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
2012 — conf
A Study of Ray Tracing Large-scale Scientific Data in Two Widely Used Parallel Visualization Applications.
EGPGV@Eurographics
Carson Brownlee, John Patchett, Li-Ta Lo, David E. DeMarle, Christopher Mitchell, James P. Ahrens, Charles D. Hansen
2012 J jnl
Interface Exchange as an Indicator for Eddy Heat Transport.
Comput. Graph. Forum
Sean Williams, Mark R. Petersen, Matthew Hecht, Mathew Maltrud, John Patchett, James P. Ahrens, Bernd Hamann
2012 Misc conf
Jitter-free co-processing on a prototype exascale storage stack.
MSST
John Bent, Sorin Faibish, Jim Ahrens, Gary Grider, John Patchett, Percy Tzelnic, Jon Woodring
2012 — ch.
The ParaView Visualization Application.
High Performance Visualization
Utkarsh Ayachit, Berk Geveci, Kenneth Moreland, John Patchett, Jim Ahrens
2003 — conf
SLIC: Scheduled Linear Image Compositing for Parallel Volume Rendering.
IEEE Symposium on Parallel and Large-Data Visualization and Graphics
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, James P. Ahrens, John Patchett