Dave Pugmire

Bio

Dave Pugmire is a Distinguished Research Scientist in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. He is also the leader of the Visualization Group. He received his BS degree in computer science from the University of Utah. He received his Ph.D. in computer science from the University of Utah. His research is focused on large-scale scientific visualization on HPC resources. His current interests include scalable visualization algorithms and systems on multi-core and future generation hardware. He is also a Joint Faculty Professor in the Department of Electrial Engineering and Computer Science at the University of Tennessee.

Awards

• Best Short Paper: ``HyLiPoD: Parallel Particle Advection Via a Hybrid of Lifeline Scheduling and Parallelization-Over-Data''. At EuroGraphics Symposium on Parallel Graphics and Visualization, 2021.
• Honorable Mention Best Paper: ``A Lifeline-Based Approach for Work Requesting and Parallel Particle Advection.'' At the IEEE Symposium on Large Data Visualization and Analysis (LDAV) 2019
• Best Paper Finalist, EGPGV 2018: ``Performance-portable particle advection with VTK-m''. At EuroGraphics Symposium on Parallel Graphics and Visualization, 2018.
• Long Term Paper Impact, Computer Science and Mathematics Division, ORNL, December 2018: ``Extreme scaling of production visualization software on diverse architectures''. In IEEE Computer Graphics and Applications, 30:3, 2010.
• Best Paper Finalist: ``Performance Modeling of In Situ Rendering.'' At the International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2016.
• Significant Event Award for “In Transit Visualization of Fusion Simulations”, Dec 2016
• Employee of the Month, Computing and Computational Sciences Directorate, June 2011
• Significant Event Award for “Support to DOE in response to the Fukushima Dai-ichi damaged reactors”, May 2011
• SciDAC Vis Night 2011 juried award for best visual aesthetics for Magnetic Field Outflows from Active Galactic Nuclei.
• People’s Choice Awards, SciDAC Vis Night 2011 for Magnetic Field Outflows from Active Galactic Nuclei.
• People’s Choice Awards, SciDAC Vis Night 2011 for Magnetic Fields in Core-Collapse Supernovae
• People’s Choice Award, SciDAC Vis Night 2010, for Clean Energy for the Future with the ITER Reactor
• ORNL Science and Technology Award of Excellence, 2010
• R&D 100 Award for NPU-Based Image Compositor, 2006
• Los Alamos Exceptional Contribution Award, 2006
• Computing Division Exceptional Contribution Award, Los Alamos National Laboratory, 2005
• Computing Division Exceptional Contribution Award, Los Alamos National Laboratory, 2004

Education

• B.S. in Computer Science, University of Utah
• Ph.D. in Computer Science, University of Utah

Publications