David Pugmire - RankMe

91 papers A* 1A 7B 5C 5Journal 33Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization. CoRR Shanu Saklani, Tushar M. Athawale, Nairita Pal, David Pugmire, Christopher R. Johnson, Soumya Dutta
2025	A	`conf`	ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. SC 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
2025	J	`jnl`	Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. IEEE Trans. Vis. Comput. Graph. Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
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
2025	J	`jnl`	Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. IEEE Trans. Vis. Comput. Graph. Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Chris R. Johnson, Paul Rosen
2025	—	`conf`	Visualization of Noisy and Less Noisy Computational Basis States in Quantum Computing. QSW Priyabrata Senapati, Qiang Guan, David Pugmire, Cheng Chang Lu, Tushar M. Athawale
2024	B	`conf`	A Personalized AI Assistant For Intuition-Driven Visual Explorations. e-Science James Hammer, Tanner Hobson, David Pugmire, Scott Klasky, Kenneth Moreland, Jian Huang
2024	—	`conf`	An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations. UncertaintyVis@VIS Robert Sisneros, Tushar M. Athawale, David Pugmire, Kenneth Moreland
2024	J	`jnl`	An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations. CoRR Robert Sisneros, Tushar M. Athawale, David Pugmire, Kenneth Moreland
2024	—	`conf`	Data-Driven Computation of Probabilistic Marching Cubes for Efficient Visualization of Level-Set Uncertainty. EuroVis (Short Papers) Tushar M. Athawale, Zhe Wang, Chris R. Johnson, David Pugmire
2024	J	`jnl`	Parallelize Over Data Particle Advection: Participation, Ping Pong Particles, and Overhead. CoRR Zhe Wang, Kenneth Moreland, Matthew Larsen, James Kress, Hank Childs, David Pugmire
2024	—	`conf`	Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations. VisGap@EuroVis David Pugmire, Jong Youl Choi, Scott Klasky, Kenneth Moreland, Eric Suchyta, Tushar M. Athawale, Zhe Wang, Choong-Seock Chang, Seung-Hoe Ku, Robert Hager
2024	B	`conf`	Top Research Challenges and Opportunities for Near Real-Time Extreme-Scale Visualization of Scientific Data. e-Science David Pugmire, Kenneth Moreland, Tushar M. Athawale, James Hammer, Jian Huang
2024	J	`jnl`	Uncertainty Visualization of Critical Points of 2D Scalar Fields for Parametric and Nonparametric Probabilistic Models. CoRR Tushar M. Athawale, Zhe Wang, David Pugmire, Kenneth Moreland, Qian Gong, Scott Klasky, Christopher R. Johnson, Paul Rosen
2024	—	`conf`	Uncertainty-Informed Volume Visualization using Implicit Neural Representation. UncertaintyVis@VIS Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson
2024	J	`jnl`	Uncertainty-Informed Volume Visualization using Implicit Neural Representation. CoRR Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson
2023	—	`ed.`	23rd Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2023, Leipzig, Germany, June 12, 2023 EGPGV@EuroVis Roxana Bujack, David Pugmire, Guido Reina
2023	J	`jnl`	Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. IEEE Trans. Vis. Comput. Graph. Tushar M. Athawale, Christopher R. Johnson, Sudhanshu Sane, David Pugmire
2023	—	`conf`	FunMC EGPGV@EuroVis Zhe Wang, Tushar M. Athawale, Kenneth Moreland, Jieyang Chen, Chris R. Johnson, David Pugmire
2023	J	`jnl`	State-of-the-Art Report on Optimizing Particle Advection Performance. Comput. Graph. Forum Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs
2023	—	`conf`	Understanding Node Allocation on Leadership-Class Supercomputers with Graph Analytics. HPCC/DSS/SmartCity/DependSys Andy Trinh, Shivam Sheth, Anil Gaihre, Caiwen Ding, Jieyang Chen, Feiyi Wang, David Pugmire, Scott Klasky, Hang Liu, Lipeng Wan
2023	—	`conf`	VTK-m: Visualization for the Exascale Era and Beyond. SIGGRAPH Talks Mark Bolstad, Kenneth Moreland, David Pugmire, David H. Rogers, Li-Ta Lo, Berk Geveci, Hank Childs, Silvio Rizzi
2022	J	`jnl`	A Guide to Particle Advection Performance. CoRR Abhishek Yenpure, Sudhanshu Sane, Roba Binyahib, David Pugmire, Christoph Garth, Hank Childs
2022	—	`conf`	Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles. IEEE VIS (Short Papers) Mengjiao Han, Tushar M. Athawale, David Pugmire, Chris R. Johnson
2022	J	`jnl`	Accelerated Probabilistic Marching Cubes by Deep Learning for Time-Varying Scalar Ensembles. CoRR Mengjiao Han, Tushar M. Athawale, David Pugmire, Chris R. Johnson
2022	J	`jnl`	Fiber Uncertainty Visualization for Bivariate Data With Parametric and Nonparametric Noise Models. CoRR Tushar M. Athawale, Chris R. Johnson, Sudhanshu Sane, David Pugmire
2022	C	`conf`	Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER 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
2022	J	`jnl`	MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2022	J	`jnl`	The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 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
2022	—	`conf`	The Need for Pervasive In Situ Analysis and Visualization (P-ISAV). ISC Workshops David Pugmire, Jian Huang, Kenneth Moreland, Scott Klasky
2022	J	`jnl`	Understanding the Impact of Data Staging for Coupled Scientific Workflows. IEEE Trans. Parallel Distributed Syst. Ana Gainaru, Lipeng Wan, Ruonan Wang, Eric Suchyta, Jieyang Chen, Norbert Podhorszki, James Kress, David Pugmire, Scott Klasky
2021	A	`conf`	Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS 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
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 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 Ramakrishnaiah, 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
2021	A	`conf`	Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. SC Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
2021	—	`conf`	Fides: A General Purpose Data Model Library for Streaming Data. ISC Workshops David Pugmire, Caitlin Ross, Nicholas Thompson, James Kress, Chuck Atkins, Scott Klasky, Berk Geveci
2021	—	`conf`	HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data. EGPGV@EuroVis Roba Binyahib, David Pugmire, Hank Childs
2021	—	`conf`	Machine Learning-Based Autotuning for Parallel Particle Advection. EGPGV@EuroVis Samuel D. Schwartz, Hank Childs, David Pugmire
2021	B	`conf`	Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 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
2021	J	`jnl`	Minimizing development costs for efficient many-core visualization using MCD Parallel Comput. Kenneth Moreland, Robert Maynard, David Pugmire, Abhishek Yenpure, Allison Vacanti, Matthew Larsen, Hank Childs
2021	J	`jnl`	Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR 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
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	J	`jnl`	ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 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
2020	—	`conf`	Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020	J	`jnl`	Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 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
2020	J	`jnl`	MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2020	C	`conf`	Opportunities for Cost Savings with In-Transit Visualization. ISC James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2020	C	`conf`	Parallel Particle Advection Bake-Off for Scientific Visualization Workloads. CLUSTER Roba Binyahib, David Pugmire, Abhishek Yenpure, Hank Childs
2020	J	`jnl`	The moving target of visualization software for an increasingly complex world. Comput. Graph. 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
2020	J	`jnl`	Towards 1ULP evaluation of Daubechies Wavelets. CoRR Nicholas Thompson, John Maddock, George Ostrouchov, Jeremy Logan, David Pugmire, Scott Klasky
2020	B	`conf`	Visualization as a Service for Scientific Data. SMC 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
2019	—	`conf`	A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection. LDAV Roba Binyahib, David Pugmire, Boyana Norris, Hank Childs
2019	C	`conf`	Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
2019	—	`conf`	In situ particle advection via parallelizing over particles. ISAV@SC Roba Binyahib, David Pugmire, Hank Childs
2018	A	`conf`	A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS 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
2018	—	`conf`	Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. ISC Workshops James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire
2018	—	`conf`	Dense Texture Flow Visualization using Data-Parallel Primitives. EGPGV@EuroVis Mark Kim, Scott Klasky, David Pugmire
2018	—	`conf`	In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops 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
2018	—	`conf`	Performance-Portable Particle Advection with VTK-m. EGPGV@EuroVis David Pugmire, Abhishek Yenpure, Mark Kim, James Kress, Robert Maynard, Hank Childs, Bernd Hentschel
2017	C	`conf`	Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
2017	—	`conf`	Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
2017	A	`conf`	Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 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	—	`conf`	In Situ Visualization of Radiation Transport Geometry. ISAV@SC Mark Kim, Tom Evans, Scott Klasky, David Pugmire
2017	—	`conf`	Pillars of the Mantle: Imaging the Interior of the Earth with Adjoint Tomography. PEARC David Pugmire, Ebru Bozdag, Matthieu Lefebvre, Jeroen Tromp, Dimitri Komatitsch, Daniel Peter, Norbert Podhorszki, Judith C. Hill
2016	A	`conf`	Performance modeling of in situ rendering. SC Matthew Larsen, Cyrus Harrison, James Kress, David Pugmire, Jeremy S. Meredith, Hank Childs
2016	J	`jnl`	Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. Supercomput. Front. Innov. James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire
2016	—	`conf`	Tuned to Terrible: A Study of Parallel Particle Advection State of the Practice. IPDPS Workshops Robert Sisneros, David Pugmire
2016	J	`jnl`	VTK-m: Accelerating the Visualization Toolkit for Massively Threaded Architectures. IEEE Computer Graphics and Applications 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
2016	—	`conf`	Visualization and Analysis Requirements for In Situ Processing for a Large-Scale Fusion Simulation Code. ISAV@SC James Kress, David Pugmire, Scott Klasky, Hank Childs
2016	—	`conf`	Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 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
2015	—	`conf`	Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
2013	J	`jnl`	A Parallel EM Algorithm for Model-Based Clustering Applied to the Exploration of Large Spatio-Temporal Data. Technometrics Wei-Chen Chen, George Ostrouchov, David Pugmire, Prabhat, Michael F. Wehner
2013	B	`conf`	ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
2013	—	`conf`	Exploring Collaborative HPC Visualization Workflows using VisIt and Python. SciPy Hari Krishnan, Cyrus Harrison, Brad Whitlock, David Pugmire, Hank Childs
2013	—	`conf`	GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting. EGPGV@Eurographics David Camp, Harinarayan Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs
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 distributed data-parallel framework for analysis and visualization algorithm development. GPGPU@ASPLOS Jeremy S. Meredith, Robert Sisneros, David Pugmire, Sean Ahern
2012	—	`conf`	Collaborative monitoring and visualization of HPC data. CTS Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
2012	—	`conf`	EAVL: The Extreme-scale Analysis and Visualization Library. EGPGV@Eurographics Jeremy S. Meredith, Sean Ahern, David Pugmire, Robert Sisneros
2012	—	`ch.`	Hybrid Parallelism. High Performance Visualization E. Wes Bethel, David Camp, Hank Childs, Christoph Garth, Mark Howison, Kenneth I. Joy, David Pugmire
2012	—	`conf`	Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
2012	—	`ch.`	Parallel Integral Curves. High Performance Visualization David Pugmire, Tom Peterka, Christoph Garth
2012	—	`conf`	Parallel stream surface computation for large data sets. LDAV David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy
2012	—	`ch.`	VisIt. High Performance Visualization 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, Allen R. Sanderson, Christoph Garth, E. Wes Bethel, David Camp, Oliver Rübel, Marc Durant, Jean M. Favre, Paul A. Navrátil
2012	—	`ch.`	Visualization at Extreme Scale Concurrency. High Performance Visualization Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Gunther H. Weber, E. Wes Bethel
2011	—	`conf`	Magnetic field outflows from active galactic nuclei. SC Companion David Pugmire, Paul Sutter, Paul M. Ricker, Hsiang-Yi (Karen) Yang, George Foreman
2011	J	`jnl`	Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture. IEEE Trans. Vis. Comput. Graph. David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy
2010	J	`jnl`	Analysis of Recurrent Patterns in Toroidal Magnetic Fields. IEEE Trans. Vis. Comput. Graph. Allen R. Sanderson, Guoning Chen, Xavier Tricoche, David Pugmire, Scott Kruger, Joshua A. Breslau
2010	J	`jnl`	Extreme Scaling of Production Visualization Software on Diverse Architectures. IEEE Computer Graphics and Applications Hank Childs, David Pugmire, Sean Ahern, Brad Whitlock, Mark Howison, Prabhat, Gunther H. Weber, E. Wes Bethel
2009	A	`conf`	Scalable computation of streamlines on very large datasets. SC David Pugmire, Hank Childs, Christoph Garth, Sean Ahern, Gunther H. Weber
2007	J	`jnl`	NPU-Based Image Compositing in a Distributed Visualization System. IEEE Trans. Vis. Comput. Graph. David Pugmire, Laura Monroe, Carolyn Connor Davenport, Andrew DuBois, David Dubois, Stephen Poole
1995	A*	`conf`	Visual Interfaces for Solids Modeling. ACM Symposium on User Interface Software and Technology Cindy Grimm, David Pugmire