A visualization pipeline for large-scale tractography data. - James Kress; Erik Anderson; Hank Childs (LDAV, 2015)

Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. - James Kress; Scott Klasky; Norbert Podhorszki; Jong Youl Choi; Hank Childs; David Pugmire (ISAV@SC, 2015)

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. - David Pugmire; James Kress; Jong Youl Choi; Scott Klasky; Tahsin M. Kurç; Michael Churchill; Matthew Wolf; Greg Eisenhauer; Hank Childs; Kesheng Wu; Alexander Sim; Junmin Gu; et al. (IPDPS Workshops, 2016)

Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. - James Kress; David Pugmire; Scott Klasky; Hank Childs (ISAV@SC, 2016)

Performance modeling of in situ rendering. - Matthew Larsen; Cyrus Harrison; James Kress; David Pugmire; Jeremy S. Meredith; Hank Childs (SC, 2016)

VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. - Kenneth Moreland; Christopher M. Sewell; William Usher 001; Li-Ta Lo; Jeremy S. Meredith; David Pugmire; James Kress; Hendrik A. Schroots; Kwan-Liu Ma; Hank Childs; Matthew Larsen; Chun-Ming Chen; et al. (IEEE Computer Graphics and Applications, 2016)

Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. - James Kress; Randy Michael Churchill; Scott Klasky; Mark Kim; Hank Childs; David Pugmire (Supercomput. Front. Innov., 2016)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - Jong Youl Choi; Choong-Seock Chang; Julien Dominski; Scott Klasky; Gabriele Merlo; Eric Suchyta; Mark Ainsworth; Bryce Allen; Franck Cappello; Michael Churchill; Philip E. Davis; Sheng Di; et al. (eScience, 2018)

Performance-Portable Particle Advection with VTK-m. - David Pugmire; Abhishek Yenpure; Mark Kim; James Kress; Robert Maynard; Hank Childs; Bernd Hentschel 001 (EGPGV@EuroVis, 2018)

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. - Scott Klasky; Matthew Wolf; Mark Ainsworth; Chuck Atkins; Jong Choi 001; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; James Kress; Tahsin M. Kurç; Qing Liu 002; et al. (ICDCS, 2018)

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. - Mark Kim; James Kress; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Kshitij Mehta; Kevin A. Huck; Berk Geveci; Sujin Phillip; Robert Maynard; Hanqi Guo 001; et al. (ISC Workshops, 2018)

Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. - James Kress; Jong Choi 001; Scott Klasky; Michael Churchill; Hank Childs; David Pugmire (ISC Workshops, 2018)

Comparing the Efficiency of In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2019)

Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. - Burlen Loring; Matthew Wolf; James Kress; Sergei Shudler; Junmin Gu; Silvio Rizzi 001; Jeremy Logan; Nicola J. Ferrier; E. Wes Bethel (EGPGV@Eurographics/EuroVis, 2020)

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (LDAV, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Opportunities for Cost Savings with In-Transit Visualization. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (CoRR, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 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; et al. (Int. J. High Perform. Comput. Appl., 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

Fides: A General Purpose Data Model Library for Streaming Data. - David Pugmire; Caitlin Ross; Nicholas Thompson; James Kress; Chuck Atkins; Scott Klasky; Berk Geveci (ISC Workshops, 2021)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 2022)

Visualization Environment for Analyzing Extreme Rainfall Events: A Case Study. - James Kress; Shehzad Afzal; Hari Prasad Dasari; Sohaib Ghani; Arjan Zamreeq; Ayman Ghulam; Ibrahim Hoteit (EnvirVis@EuroVis, 2023)

Inshimtu - A Lightweight In Situ Visualization "Shim". - James Kress; Glendon Holst; Hari Prasad Dasari; Shehzad Afzal; Ibrahim Hoteit; Thomas Theußl (ISC Workshops, 2023)

Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; David Pugmire (CoRR, 2024)

In Situ Workload Estimation for Block Assignment and Duplication in Parallelization-Over-Data Particle Advection. - Zhe Wang 059; Kenneth Moreland; Matthew Larsen; James Kress; Hank Childs; Guan Li; Guihua Shan; David Pugmire (Comput. Graph. Forum, 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; et al. (Int. J. High Perform. Comput. Appl., 2025)