Visual Interfaces for Solids Modeling. - Cindy Grimm; David Pugmire (ACM Symposium on User Interface Software and Technology, 1995)

NPU-Based Image Compositing in a Distributed Visualization System. - David Pugmire; Laura Monroe; Carolyn Connor Davenport; Andrew DuBois; David DuBois; Stephen Poole 001 (IEEE Trans. Vis. Comput. Graph., 2007)

Scalable computation of streamlines on very large datasets. - David Pugmire; Hank Childs; Christoph Garth; Sean Ahern; Gunther H. Weber (SC, 2009)

Extreme Scaling of Production Visualization Software on Diverse Architectures. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Prabhat; Gunther H. Weber; E. Wes Bethel (IEEE Computer Graphics and Applications, 2010)

Analysis of Recurrent Patterns in Toroidal Magnetic Fields. - Allen R. Sanderson; Guoning Chen; Xavier Tricoche; David Pugmire; Scott Kruger; Joshua A. Breslau (IEEE Trans. Vis. Comput. Graph., 2010)

Magnetic field outflows from active galactic nuclei. - David Pugmire; Paul Sutter; Paul M. Ricker; Hsiang-Yi (Karen) Yang; George Foreman (SC Companion, 2011)

Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture. - David Camp; Christoph Garth; Hank Childs; David Pugmire; Kenneth I. Joy (IEEE Trans. Vis. Comput. Graph., 2011)

Hybrid Parallelism. - E. Wes Bethel; David Camp; Hank Childs; Christoph Garth; Mark Howison; Kenneth I. Joy; David Pugmire (High Performance Visualization, 2012)

VisIt. - Hank Childs; Eric Brugger; Brad Whitlock; Jeremy S. Meredith; Sean Ahern; David Pugmire; Kathleen Biagas; Mark C. Miller; Cyrus Harrison; Gunther H. Weber; Hari Krishnan; Thomas Fogal; et al. (High Performance Visualization, 2012)

Visualization at Extreme Scale Concurrency. - Hank Childs; David Pugmire; Sean Ahern; Brad Whitlock; Mark Howison; Gunther H. Weber; E. Wes Bethel (High Performance Visualization, 2012)

Parallel Integral Curves. - David Pugmire; Tom Peterka; Christoph Garth (High Performance Visualization, 2012)

A distributed data-parallel framework for analysis and visualization algorithm development. - Jeremy S. Meredith; Robert Sisneros; David Pugmire; Sean Ahern (GPGPU@ASPLOS, 2012)

Collaborative monitoring and visualization of HPC data. - Roselyne Tchoua; Hasan Abbasi; Scott Klasky; Qing Liu 002; Norbert Podhorszki; David Pugmire; Yuan Tian 004; Matthew Wolf (CTS, 2012)

Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. - Jong Youl Choi; Hasan Abbasi; David Pugmire; Norbert Podhorszki; Scott Klasky; Cristian Capdevila; Manish Parashar; Matthew Wolf; Judy Qiu; Geoffrey C. Fox (eScience, 2012)

EAVL: The Extreme-scale Analysis and Visualization Library. - Jeremy S. Meredith; Sean Ahern; David Pugmire; Robert Sisneros (EGPGV@Eurographics, 2012)

Parallel stream surface computation for large data sets. - David Camp; Christoph Garth; Hank Childs; David Pugmire; Kenneth I. Joy (LDAV, 2012)

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. - Roselyne Tchoua; Jong Youl Choi; Scott Klasky; Qing Liu 002; Jeremy Logan; Kenneth Moreland; Jingqing Mu; Manish Parashar; Norbert Podhorszki; David Pugmire; Matthew Wolf (e-Science, 2013)

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting. - David Camp; Harinarayan Krishnan; David Pugmire; Christoph Garth; Ian Johnson; E. Wes Bethel; Kenneth I. Joy; Hank Childs (EGPGV@Eurographics, 2013)

Exploring Collaborative HPC Visualization Workflows using VisIt and Python. - Hari Krishnan; Cyrus Harrison; Brad Whitlock; David Pugmire; Hank Childs (SciPy, 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; et al. (Computer, 2013)

A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data. - Wei-Chen Chen; George Ostrouchov; David Pugmire; Prabhat; Michael F. Wehner (Technometrics, 2013)

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)

Tuned to Terrible: A Study of Parallel Particle Advection State of the Practice. - Robert Sisneros; David Pugmire (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)

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. - Tao Lu; Eric Suchyta; David Pugmire; Jong Choi 001; Scott Klasky; Qing Liu 002; Norbert Podhorszki; Mark Ainsworth; Matthew Wolf (CLUSTER, 2017)

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. - Tao Lu; Eric Suchyta; Jong Youl Choi; Norbert Podhorszki; Scott Klasky; Qing Liu 002; David Pugmire; Matthew Wolf; Mark Ainsworth (HotStorage, 2017)

Exacution: Enhancing Scientific Data Management for Exascale. - Scott Klasky; Eric Suchyta; Mark Ainsworth; Qing Liu 002; Ben Whitney; Matthew Wolf; Jong Youl Choi; Ian T. Foster; Mark Kim; Jeremy Logan; Kshitij Mehta; Todd S. Munson; et al. (ICDCS, 2017)

In Situ Visualization of Radiation Transport Geometry. - Mark Kim; Tom Evans; Scott Klasky; David Pugmire (ISAV@SC, 2017)

Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. - David Pugmire; Ebru Bozdag; Matthieu Lefebvre; Jeroen Tromp; Dimitri Komatitsch; Daniel Peter 001; Norbert Podhorszki; Judith Hill (PEARC, 2017)

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)

Dense Texture Flow Visualization using Data-Parallel Primitives. - Mark Kim; Scott Klasky; David Pugmire (EGPGV@EuroVis, 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)

A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection. - Roba Binyahib; David Pugmire; Boyana Norris; Hank Childs (LDAV, 2019)

In situ particle advection via parallelizing over particles. - Roba Binyahib; David Pugmire; Hank Childs (ISAV@SC, 2019)

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)

Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. - Roba Binyahib; David Pugmire; Abhishek Yenpure; Hank Childs (CLUSTER, 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)

The moving target of visualization software for an increasingly complex world. - Guido Reina; Hank Childs; Kresimir Matkovic; Katja Bühler; Manuela Waldner; David Pugmire; Barbora Kozlíková; Timo Ropinski; Patric Ljung; Takayuki Itoh; M. Eduard Gröller; Michael Krone (Comput. Graph., 2020)

Towards 1ULP evaluation of Daubechies Wavelets. - Nicholas Thompson; John Maddock; George Ostrouchov; Jeremy Logan; David Pugmire; Scott Klasky (CoRR, 2020)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Dave Pugmire; Nicholas Thompson; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (CoRR, 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)

HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. - Roba Binyahib; David Pugmire; Hank Childs (EGPGV@EuroVis, 2021)

Machine Learning-Based Autotuning for Parallel Particle Advection. - Samuel D. Schwartz; Hank Childs; David Pugmire (EGPGV@EuroVis, 2021)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (IPDPS, 2021)

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. - Xin Liang 001; Qian Gong; Jieyang Chen; Ben Whitney; Lipeng Wan 001; Qing Liu 002; David Pugmire; Rick Archibald; Norbert Podhorszki; Scott Klasky (SC, 2021)

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. - Qian Gong; Xin Liang 001; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan 001; Stéphane Ethier; Seung-Hoe Ku; Randy Michael Churchill; Choong-Seock Chang; Mark Ainsworth; Ozan Tugluk; et al. (SMC, 2021)

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)

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Qian Gong; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; et al. (CoRR, 2021)

Co-design Center for Exascale Machine Learning Technologies (ExaLearn). - Francis J. Alexander; James A. Ang; Jenna A. Bilbrey; Jan Balewski; Tiernan Casey; Ryan Chard; Jong Choi 001; Sutanay Choudhury; Bert J. Debusschere; Anthony M. DeGennaro; Nikoli Dryden; J. Austin Ellis; et al. (Int. J. High Perform. Comput. Appl., 2021)

Minimizing development costs for efficient many-core visualization using MCD3. - Kenneth Moreland; Robert Maynard; David Pugmire; Abhishek Yenpure; Allison Vacanti; Matthew Larsen; Hank Childs (Parallel Comput., 2021)

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. - Eric Suchyta; Jong Youl Choi; Seung-Hoe Ku; David Pugmire; Ana Gainaru; Kevin A. Huck; Ralph Kube; Aaron Scheinberg; Frédéric Suter; Choong-Seock Chang; Todd S. Munson; Norbert Podhorszki; et al. (CLUSTER, 2022)

The Need for Pervasive In Situ Analysis and Visualization (P-ISAV). - David Pugmire; Jian Huang 007; Kenneth Moreland; Scott Klasky (ISC Workshops, 2022)

Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles. - Mengjiao Han; Tushar M. Athawale; David Pugmire; Chris R. Johnson 001 (IEEE VIS (Short Papers), 2022)

A Guide to Particle Advection Performance. - Abhishek Yenpure; Sudhanshu Sane; Roba Binyahib; David Pugmire; Christoph Garth; Hank Childs (CoRR, 2022)

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. - Eric Suchyta; Scott Klasky; Norbert Podhorszki; Matthew Wolf; Abolaji D. Adesoji; Choong-Seock Chang; Jong Choi 001; Philip E. Davis; Julien Dominski; Stéphane Ethier; Ian T. Foster; Kai Germaschewski; et al. (Int. J. High Perform. Comput. Appl., 2022)

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)

FunMC2: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices. - Zhe Wang 059; Tushar M. Athawale; Kenneth Moreland; Jieyang Chen; Chris R. Johnson 001; David Pugmire (EGPGV@EuroVis, 2023)

Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. - Andy Trinh; Shivam Sheth; Anil Gaihre; Caiwen Ding; Jieyang Chen; Feiyi Wang; David Pugmire; Scott Klasky; Hang Liu 001; Lipeng Wan 001 (HPCC/DSS/SmartCity/DependSys, 2023)

VTK-m: Visualization for the Exascale Era and Beyond. - Mark Bolstad; Kenneth Moreland; David Pugmire; David H. Rogers 001; Li-Ta Lo; Berk Geveci; Hank Childs; Silvio Rizzi 001 (SIGGRAPH Talks, 2023)

Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. - Tushar M. Athawale; Christopher R. Johnson 001; Sudhanshu Sane; David Pugmire (IEEE Trans. Vis. Comput. Graph., 2023)

State-of-the-Art Report on Optimizing Particle Advection Performance. - Abhishek Yenpure; Sudhanshu Sane; Roba Binyahib; David Pugmire; Christoph Garth; Hank Childs (Comput. Graph. Forum, 2023)

A Personalized AI Assistant For Intuition-Driven Visual Explorations. - James Hammer; Tanner Hobson; David Pugmire; Scott Klasky; Kenneth Moreland; Jian Huang 007 (e-Science, 2024)

Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data. - David Pugmire; Kenneth Moreland; Tushar M. Athawale; James Hammer; Jian Huang 007 (e-Science, 2024)

Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations. - David Pugmire; Jong Youl Choi; Scott Klasky; Kenneth Moreland; Eric Suchyta; Tushar M. Athawale; Zhe Wang 059; Choong-Seock Chang; Seung-Hoe Ku; Robert Hager (VisGap@EuroVis, 2024)

Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty. - Tushar M. Athawale; Zhe Wang 059; Chris R. Johnson 001; David Pugmire (EuroVis (Short Papers), 2024)

FunM2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices. - Gautam Hari; Nrushad Joshi; Zhe Wang 059; Qian Gong; Dave Pugmire; Kenneth Moreland; Chris R. Johnson 001; Scott Klasky; Norbert Podhorszki; Tushar M. Athawale (UncertaintyVis@VIS, 2024)

Uncertainty-Informed Volume Visualization using Implicit Neural Representation. - Shanu Saklani; Chitwan Goel; Shrey Bansal; Zhe Wang 059; Soumya Dutta; Tushar M. Athawale; David Pugmire; Christopher R. Johnson 001 (UncertaintyVis@VIS, 2024)

An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations. - Robert Sisneros; Tushar M. Athawale; David Pugmire; Kenneth Moreland (UncertaintyVis@VIS, 2024)

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)

A Comparative Study of the Perceptual Sensitivity of Topological Visualizations to Feature Variations. - Tushar M. Athawale; Bryan Triana; Tanmay Kotha; Dave Pugmire; Paul Rosen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Visualization of Noisy and Less Noisy Computational Basis States in Quantum Computing. - Priyabrata Senapati; Qiang Guan; David Pugmire; Cheng Chang Lu; Tushar M. Athawale (QSW, 2025)

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)

Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. - Tushar M. Athawale; Zhe Wang 059; David Pugmire; Kenneth Moreland; Qian Gong; Scott Klasky; Chris R. Johnson 001; Paul Rosen 001 (IEEE Trans. Vis. Comput. Graph., 2025)