David Pugmire
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
9
Active years
1995–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PacificVis | REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization. | Shanu Saklani, Tushar M. Athawale, Nairita Pal, David Pugmire, Christopher R. Johnson, Soumya Dutta |
| 2025 | SC | ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. | Xiao Wang, Jong-Youl Choi, Takuya Kurihana, Isaac Lyngaas, Hong-Jun Yoon, Xi Xiao, David Pugmire, Ming Fan, Nasik Muhammad Nafi, Aristeidis Tsaris, Ashwin M. Aji, Maliha Hossain, Mohamed Wahib, Dali Wang, Peter E. Thornton, Prasanna Balaprakash, Moetasim Ashfaq, Dan Lu |
| 2023 | EGPGV | FunMC | Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire |
| 2023 | HPCC | 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, Lipeng Wan |
| 2023 | SIGGRAPH | VTK-m: Visualization for the Exascale Era and Beyond. | Mark Bolstad, Kenneth Moreland, David Pugmire, David H. Rogers, Li-Ta Lo, Berk Geveci, Hank Childs, Silvio Rizzi |
| 2022 | CLUSTER | 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, Frdric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky |
| 2021 | EGPGV | HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. | Roba Binyahib, David Pugmire, Hank Childs |
| 2021 | EGPGV | Machine Learning-Based Autotuning for Parallel Particle Advection. | Samuel D. Schwartz, Hank Childs, David Pugmire |
| 2021 | SC | Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. | Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky |
| 2020 | CLUSTER | Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. | Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs |
| 2019 | SC | In situ particle advection via parallelizing over particles. | Roba Binyahib, David Pugmire, Hank Childs |
| 2018 | EGPGV | Dense Texture Flow Visualization using Data-Parallel Primitives. | Mark Kim, Scott Klasky, David Pugmire |
| 2018 | EGPGV | Performance-Portable Particle Advection with VTK-m. | David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, Bernd Hentschel |
| 2018 | ICDCS | A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. | Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kur, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang |
| 2017 | CLUSTER | Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. | Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf |
| 2017 | ICDCS | Exacution: Enhancing Scientific Data Management for Exascale. | Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan |
| 2017 | SC | In Situ Visualization of Radiation Transport Geometry. | Mark Kim, Tom Evans, Scott Klasky, David Pugmire |
| 2016 | SC | Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. | James Kress, David Pugmire, Scott Klasky, Hank Childs |
| 2016 | SC | Performance modeling of in situ rendering. | Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs |
| 2015 | SC | 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 |
| 2013 | EGPGV | 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 |
| 2012 | ASPLOS | A distributed data-parallel framework for analysis and visualization algorithm development. | Jeremy S. Meredith, Robert Sisneros, David Pugmire, Sean Ahern |
| 2012 | EGPGV | EAVL: The Extreme-scale Analysis and Visualization Library. | Jeremy S. Meredith, Sean Ahern, David Pugmire, Robert Sisneros |
| 2011 | SC | Magnetic field outflows from active galactic nuclei. | David Pugmire, Paul Sutter, Paul M. Ricker, Hsiang-Yi (Karen) Yang, George Foreman |
| 2009 | SC | Scalable computation of streamlines on very large datasets. | David Pugmire, Hank Childs, Christoph Garth, Sean Ahern, Gunther H. Weber |
| 1995 | UIST | Visual Interfaces for Solids Modeling. | Cindy Grimm, David Pugmire |