David Pugmire

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 54

Top Topics

Scientific Data

Top Venues

Publications

Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. CoRR (2024)
Tushar M. Athawale, Christopher R. Johnson, Sudhanshu Sane, David Pugmire
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Mark Bolstad, Kenneth Moreland, David Pugmire, David H. Rogers, Li-Ta Lo, Berk Geveci, Hank Childs, Silvio Rizzi
VTK-m: Visualization for the Exascale Era and Beyond. SIGGRAPH Talks (2023)
Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys (2023)
Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs
State-of-the-Art Report on Optimizing Particle Advection Performance. Comput. Graph. Forum 42 (3) (2023)
Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire
: A Filter for Uncertainty Visualization of Marching Cubes on Multi-Core Devices. EGPGV@EuroVis (2023)
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, Scott Klasky
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER (2022)
Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Mengjiao Han, Tushar M. Athawale, David Pugmire, Chris R. Johnson
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles. IEEE VIS (Short Papers) (2022)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71 (7) (2022)
David Pugmire, Jian Huang, Kenneth Moreland, Scott Klasky
The Need for Pervasive In Situ Analysis and Visualization (P-ISAV). ISC Workshops (2022)
Tushar M. Athawale, Chris R. Johnson, Sudhanshu Sane, David Pugmire
Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. CoRR (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Mengjiao Han, Tushar M. Athawale, David Pugmire, Chris R. Johnson
Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles. CoRR (2022)
Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs
A Guide to Particle Advection Performance. CoRR (2022)
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC (2021)
Samuel D. Schwartz, Hank Childs, David Pugmire
Machine Learning-Based Autotuning for Parallel Particle Advection. EGPGV@EuroVis (2021)
Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs
. Parallel Comput. 108 (2021)
David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci
Fides: A General Purpose Data Model Library for Streaming Data. ISC Workshops (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC (2021)
Francis J. Alexander, James Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Roba Binyahib, David Pugmire, Hank Childs
HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. EGPGV@EuroVis (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV (2020)
Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky
Towards 1ULP evaluation of Daubechies Wavelets. CoRR (2020)
Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43 (1) (2020)
Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs
Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. CLUSTER (2020)
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
The moving target of visualization software for an increasingly complex world. Comput. Graph. 87 (2020)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR (2020)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Opportunities for Cost Savings with In-Transit Visualization. ISC (2020)
David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf
Visualization as a Service for Scientific Data. SMC (2020)
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
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34 (6) (2020)
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12 (2020)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC (2019)
Roba Binyahib, David Pugmire, Boyana Norris, Hank Childs
A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection. LDAV (2019)
Roba Binyahib, David Pugmire, Hank Childs
In situ particle advection via parallelizing over particles. ISAV@SC (2019)
Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops (2018)
Mark Kim, Scott Klasky, David Pugmire
Dense Texture Flow Visualization using Data-Parallel Primitives. EGPGV@EuroVis (2018)
David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, Bernd Hentschel
Performance-Portable Particle Advection with VTK-m. EGPGV@EuroVis (2018)
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS (2018)
James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. ISC Workshops (2018)
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage (2017)
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
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER (2017)
David Pugmire, Ebru Bozdag, Matthieu Lefebvre, Jeroen Tromp, Dimitri Komatitsch, Daniel Peter, Norbert Podhorszki, Judith Hill
Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. PEARC (2017)
Mark Kim, Tom Evans, Scott Klasky, David Pugmire
In Situ Visualization of Radiation Transport Geometry. ISAV@SC (2017)
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, Jonathan Low
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops (2016)
James Kress, David Pugmire, Scott Klasky, Hank Childs
Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. ISAV@SC (2016)
James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire
Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. Supercomput. Front. Innov. 3 (4) (2016)
Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs
Performance modeling of in situ rendering. SC (2016)
Kenneth Moreland, Christopher M. Sewell, William Usher, Li-Ta Lo, Jeremy S. Meredith, David Pugmire, James Kress, Hendrik A. Schroots, Kwan-Liu Ma, Hank Childs, Matthew Larsen, Chun-Ming Chen, Robert Maynard, Berk Geveci
VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications 36 (3) (2016)
Robert Sisneros, David Pugmire
Tuned to Terrible: A Study of Parallel Particle Advection State of the Practice. IPDPS Workshops (2016)
James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC (2015)
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
Ultrascale Visualization of Climate Data. Computer 46 (9) (2013)
David Camp, Harinarayan Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs
GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting. EGPGV@Eurographics (2013)
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science (2013)
Hari Krishnan, Cyrus Harrison, Brad Whitlock, David Pugmire, Hank Childs
Exploring Collaborative HPC Visualization Workflows using VisIt and Python. SciPy (2013)
Wei-Chen Chen, George Ostrouchov, David Pugmire, Prabhat, Michael F. Wehner
A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data. Technometrics 55 (4) (2013)
Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience (2012)
David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy
Parallel stream surface computation for large data sets. LDAV (2012)
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
Collaborative monitoring and visualization of HPC data. CTS (2012)
Jeremy S. Meredith, Sean Ahern, David Pugmire, Robert Sisneros
EAVL: The Extreme-scale Analysis and Visualization Library. EGPGV@Eurographics (2012)
Jeremy S. Meredith, Robert Sisneros, David Pugmire, Sean Ahern
A distributed data-parallel framework for analysis and visualization algorithm development. GPGPU@ASPLOS (2012)
David Pugmire, Paul Sutter, Paul Ricker, Hsiang-Yi (Karen) Yang, George Foreman
Magnetic field outflows from active galactic nuclei. SC Companion (2011)
David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy
Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture. IEEE Trans. Vis. Comput. Graph. 17 (11) (2011)
Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Prabhat, Gunther H. Weber, E. Wes Bethel
Extreme Scaling of Production Visualization Software on Diverse Architectures. IEEE Computer Graphics and Applications 30 (3) (2010)
Allen R. Sanderson, Guoning Chen, Xavier Tricoche, David Pugmire, Scott Kruger, Joshua A. Breslau
Analysis of Recurrent Patterns in Toroidal Magnetic Fields. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)
David Pugmire, Hank Childs, Christoph Garth, Sean Ahern, Gunther H. Weber
Scalable computation of streamlines on very large datasets. SC (2009)
David Pugmire, Laura Monroe, Carolyn Connor Davenport, Andrew DuBois, David DuBois, Stephen Poole
NPU-Based Image Compositing in a Distributed Visualization System. IEEE Trans. Vis. Comput. Graph. 13 (4) (2007)
Cindy Grimm, David Pugmire
Visual Interfaces for Solids Modeling. ACM Symposium on User Interface Software and Technology (1995)