Description: picture of Paul A. Navrátil Paul A. Navrátil, Ph.D.

Research Scientist
Director of Visualization
Texas Advanced Computing Center
University of Texas at Austin

email: (Best way to contact me)
pnav at tacc domain
Office: ACB 3.204, (512) 471-6245
Texas Advanced Computing Center
10100 Burnet Road M/S R8700
Austin, TX 78758-4497

[Research] [Publications] [Grants] [Teaching] [Talks] [CV]


Research

I am a Research Scientist, the Director of the Visualization area of the Texas Advanced Computing Center (TACC) and an Adjunct Professor in the Department of Statistics and Data Sciences, all at the University of Texas at Austin. My research interests include efficient algorithms for large-scale parallel visualization and data analytics (VDA) and innovative design for large-scale VDA systems, with particular focus on in-situ, high-fidelity visualization techniques. My recent work includes software-defined visualization capabilities, particularly the NSF-funded GraviT project that enables large-scale distributed-memory ray tracing. This work enables photo-realistic rendering of the largest datasets produced on supercomputers today.

My team manages remote visualization capabilities on TACC production systems, including Frontera and Stampede2 through the TACC Visualization Portal.

I am also a member of the Real-Time Graphics and Parallel Systems group in the Department of Computer Science, which is exploring algorithms and architectures for future graphics systems organized around highly parallel, general-purpose single-chip parallel-processing hardware.


Publications

[Books] [Articles] [Papers] [Visualizations] [Tech Reports]

BOOKS
  • Paul Navrátil, Maytal Dahan, editors. Special Issue XSEDE16 & PEARC17 – Practice and Experience in Advanced Research Computing. Concurrency and Computation: Practice and Experience (CPE). 2019.
  • Paul Navrátil, Maytal Dahan, David Hart, Alana Romanella, Nitin Sukhija, editors. Proceedings of the Fifth Extreme Science and Engineering Discovery Environment Conference (XSEDE16). July 2016.
  • Carsten Dachsbacher, Paul Navrátil, editors. Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization. May 2015.
  • Paul A. Navrátil. Memory-Efficient, Scalable Ray Tracing. Ph.D. Dissertation, Department of Computer Science, The University of Texas at Austin. August 2010.
JOURNAL ARTICLES
  • Greg Abram, Paul Navrátil, David Rogers and James Ahrens. Distributed Multi-tenant In Situ Analysis using Galaxy. In In Situ Visualization for Computational Science, Hank Childs, ed., 2020.
  • Will Usher, Hyungman Park, Myoungkyu Lee, Paul Navrátil, Donald Fussell and Valerio Pascucci. A Simulation-Oblivious Data Transport Model for Flexible In Transit Visualization. In In Situ Visualization for Computational Science, Hank Childs, ed., 2020.
  • Ingo Wald, Greg P. Johnson, Jeff Amstutz, Carson Brownlee, Aaron Knoll, Jim Jeffers, Johannes Günther, Paul Navrátil. OSPRay – A CPU Ray Tracing Framework for Scientific Visualization. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization), 23:1, January 2017, 931—940.
  • Paul A. Navrátil, Hank Childs, Donald S. Fussell, Calvin Lin. Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-Memory Ray Tracing. IEEE Transactions on Visualization and Computer Graphics. 20:6, June 2014. 893—906.
  • Aaron Knoll, Ingo Wald, Paul Navrátil, Anne Bowen, Khairi Reda, Michael E. Papka, Kelly Gaither. RBF Volume Ray Casting on Multicore and Manycore CPUs. Computer Graphics Forum (Proceedings of Eurographics Conference on Visualization). 33:3, 2014.
  • Joshua D. Rhodes, Charles R. Upshaw, Chioke B. Harris, Colin M. Meehan, David A. Walling, Paul A. Navrátil, Ariane L. Beck, Kazunori Nagasawa, Robert L. Fares, Wesley J. Cole, Harsha Kumar, Roger D. Duncan, Chris L. Holcomb, Thomas F. Edgar, Alexis Kwasinski, Michael E. Webber. Experimental and Data Collection Methods for a Large-Scale Smart Grid Deployment: Methods and First Results. Energy, 65:1, February 2014. 462—471.
  • Paul A. Navrátil, Jarrett L. Johnson and Volker Bromm. Visualization of Cosmological Point-Based Datasets. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization 2007), November 2007.
OTHER REFEREED PAPERS
  • Stephanie Zeller, Francesca Samsel, Paul Navrátil. Environmental Visualization: Moving Beyond the Rainbows. In Proceedings of PEARC20. July 30, 2020.
  • Christiaan Gribble, Victor Eijkhout, Paul Navrátil. Implementing a Prototype System for 3D Reconstruction of Compressible Flow. In Proceedings of PEARC20. July 28, 2020.
  • Colin Ware, Francesca Samsel, David Rogers, Paul Navrátil, Ayat Mohammed. Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields. In Proceedings of EuroVis 2020. May 26, 2020.
  • Joao Barbosa, Paul Navrátil. High-fidelity Rendering for Large Tiled Displays. In Proceedings of the Intel eXtreme Performance User Group (IXPUG) Conference 2019. September 25, 2019.
  • Francesca Samsel, Trinity Obermyer, Paul Navrátil. Highlight Insert Colormaps: Luminance for Focused Data Analysis. In Proceedings of Eurographics Conference on Visualization – Short Papers. June 2019. 55 – 59.
  • Greg Abram, Paul Navrátil, Pascal Grossett, David Rogers, James Ahrens. “Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization.” Accepted to IEEE Large Data Analysis and Visualization. October 2018.
  • Hyungman Park, Donald Fussell, Paul Navrátil. “SpRay: Speculative Ray Scheduling for Large Data Visualization.” Accepted to IEEE Large Data Analysis and Visualization. October 2018.
  • Matt Larsen, Stephanie Labasan, Paul Navrátil, Jeremy Meredith, Hank Childs. Volume Rendering via Data-Parallel Primitives. Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization. May 2015.
  • Matt Larsen, Jeremy Meredith, Paul Navrátil, Hank Childs. Ray-Tracing within a Data Parallel Framework. Proceedings of IEEE Pacific Visualization Symposium, April 2015. 279—286.
  • Aaron Knoll, Cody Hammock, Jo Wozniak, Nathaniel Mendoza, Paul Navrátil, Brandt Westing. Picowalls: Portable Tiled Display Walls from Pico Projector Arrays. Proceedings of VISTech 2013. November 22, 2013.
  • Aaron Knoll, Ingo Wald, Paul A. Navrátil, Michael E. Papka, Kelly P. Gaither. Ray Tracing and Volume Rendering Large Molecular Data on Multi-Core and Many-Core Architectures. Proceedings of UltraVis 2013. November 17, 2013.
  • Cyrus Harrison, Paul A. Navrátil, Maysam Moussalem, Ming Jiang, Hank Childs. Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python. Proceedings of Workshop on Python for High Performance and Scientific Computing (PyHPC) 2012. November 16, 2012.
  • Paul A. Navrátil, William L. Barth, Hank Childs. Virtual Rheoscopic Fluids for Dense Large-Scale Fluid Flow Visualizations. Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV) 2012. October 14-15, 2012.
  • Gregory P. Johnson, Gregory D. Abram, Brandt Westing, Paul A. Navrátil, Kelly P. Gaither. DisplayCluster: An Interactive Visualization Environment for Tiled Displays. Proceedings of IEEE Cluster 2012. September 24-28, 2012.
  • Paul A. Navrátil, Donald S. Fussell, Calvin Lin and Hank Childs. Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing. Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) 2012. 61—70. May 13-14, 2012. Awarded Best Paper
  • Byungil Jeong, Paul A. Navrátil, Kelly P. Gaither, Gregory Abram and Gregory P. Johnson. Configurable Data Prefetching Scheme for Interactive Visualization of Large-Scale Volume Data. Proceedings of Visualization and Data Analysis (VDA) 2012. 8294-17. January 23-25, 2012.
  • Hank Childs, Eric Brugger, Brad Whitlock, Jeremy Meredith, Sean Ahern, Kathleen Bonnell, Mark Miller, Gunther H. Weber, Cyrus Harrison, David Pugmire, Thomas Fogal, Christoph Carth, Allen Sanderson, E. Wes Bethel, Marc Durant, David Camp, Jean M. Favre, Oliver Rübel, Paul Navrátil, Matthew Wheeler, Paul Selby and Fabien Vivodtzev. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data. Proceedings of the 2011 SciDAC Conference. July, 2011.
  • Paul A. Navrátil, Donald S. Fussell, Calvin Lin. Increasing Hardware Utilization for Peta-Scale Visualization. Proceedings of the High-End Visualization Workshop. December, 2010.
  • S. Daruru, S. Dhandapani, G. Gupta, I. Iliev, W. Xu, P. Navrátil, N. Marin, J. Ghosh. Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. Proceedings of KDCloud-10. December 2010.
  • Paul A. Navrátil, Brandt Westing, Greg P. Johnson, Ashwini Athyle, Jose Carreno, Freddy Rojas. A Practical Guide to Large-Tiled Displays. Proceedings of the International Symposium on Visual Computing 2009.
  • Paul A. Navrátil, Donald S. Fussell, Calvin Lin and William R. Mark. Dynamic Ray Scheduling for Improved System Performance. Proceedings of the Symposium on Interactive Ray Tracing, 2007.
  • Bruce Porter, Ken Barker, James Fan, Paul A. Navrátil, Dan Tecuci, Peter Yeh and Peter Clark. "Mining Answers from Texts and Knowledge Bases: Our Position." Mining Answers from Texts and Knowledge Bases: Papers from the 2002 AAAI Spring Symposium (TR SS-02-06), Sanda M. Harabagiu and Vinay Chaudhri, ed. pp 80 - 81.
  • Paul A. Navrátil. "TeamTexas: a Simulator Team for RoboCup 1998", Proceedings of the Second RoboCup Workshop, Minoru Asada, ed. pp. 373 - 377.
VISUALIZATIONS
  • Andrew Solis, Gregory Foss, Matias Fragoso, Paul Navrátil. Visualizing Usage on HPC Systems. In SC20 Scientific Visualization & Data Analytics Showcase. November 17-19, 2020.
  • Paul A. Navrátil, William Barth, Karla Vega. The Break of Waves. Discover Magazine Beauty of Big Data gallery. January 2017.
  • Carson Brownlee, Aaron Knoll, Paul Navrátil, Kevin Cunningham, Michael Sukop, Sade Garcia. Seeking Its Own Level. Discover Magazine Beauty of Big Data gallery. January 2017.
  • Carson Brownlee, Greg Abram, João Barbosa, Ingo Wald, Jeff Amstutz, Paul Navrátil. ParaView + OSPRay: High-Fidelity Ray Tracing for Scientific Visualization. XSEDE16 Visualization Showcase. July 17-21, 2016.
  • Carson Brownlee, Aaron Knoll, Paul Navrátil, Kevin Cunningham, Michael Sukop, Sadé Garcia. Visualizing Groundwater Flow Through Karst Limestone. Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization. May 2015. Awarded Best Visualization Showcase.
  • Paul A. Navrátil, William L. Barth, Hank Childs. Virtual Rheoscopic Fluid for Large Dynamics Visualization. SC12 Visualization Showcase. November 10-16, 2012.
  • Paul A. Navrátil, William L. Barth. Taylor-Couette Flow in a Virtual Rheoscopic Fluid. Scientific Visualization Showcase. November 12-18, 2011.
  • Paul A. Navrátil, Jarrett Johnson, Volker Bromm. Life and Death of the First Stars. Finalist, NSF International Science and Engineering Visualization Challenge. November 2010.
  • Paul A. Navrátil, Jarrett Johnson, Volker Bromm. The Bubble Beginning. Bild der Wissenschaft, August 2010.
  • Paul A. Navrátil, Jarrett Johnson, Volker Bromm. The Bubble Beginning. Discover, “Presents the Whole Universe” special issue. Fall 2008.
  • Paul A. Navrátil, Jarrett Johnson, Thomas H. Greif, Volker Bromm. The First Stars. In: Dennis Overbye. “First Stars Were Brutes, but Died Young, Astronomers Say,” New York Times, August 1st, 2008.
TECH REPORTS
  • David Waling, Paul A. Navrátil. Large-Scale Data Organization for Interactive Analysis. TACC Technical Report TR-12-03. May 4, 2012.
  • Paul A. Navrátil, Brandt Westing, Greg P. Johnson, Ashwini Athyle, Jose Carreno, Freddy Rojas. A Practical Guide to Large-Tiled Displays. TACC TR-09-04, 2009.
  • Paul A. Navrátil, Maria Esteva. Visualizing Workplace Dynamics from Natural Digital Archives. Texas Advanced Computing Center: TACC TR-08-04, 2008.
  • Gregory P. Johnson, Paul A. Navrátil, David Gignac, Karl Schulz, Tommy Minyard. The Colt Visualization Cluster. Texas Advanced Computing Center: TACC TR-07-03, 2007.
  • Paul A. Navrátil and William R. Mark. An Analysis of Ray Tracing Bandwidth Consumption. The University of Texas at Austin, Department of Computer Sciences. Technical Report TR-06-40.

Grants and Contracts

  • Co-PI: Driving Natural Gas Systems to Reduced Greenhouse Gas Emissions. University of Texas Energy Institute, $300,000, 1/2020 – 12/2021.
  • PI: Software-Defined Visualization for Integrated Simulation and Analysis. Intel Center of Excellence, $150,000, 10/2019 – 9/2020.
  • PI: Software-Defined Visualization for Integrated Simulation and Analysis. Intel Center of Excellence, $187,500, 10/2018 – 9/2019.
  • PI: Software-Defined Visualization for Integrated Simulation and Analysis. Intel Center of Excellence, $250,000, 10/2017 – 9/2018.
  • PI: Accelerated 3D Reconstruction and Visualization of Compressible Flow. SURVICE Engineering S17-032001, $166,074, 5/2017 – 1/2019.
  • co-PI: CRISP Type 2: Natural Gas Production, Electricity, and Water Infrastructures - Economic, Environmental and Agricultural Impacts in the Texas-Mexico Border Region. US NSF CMMI- 1540941, $2,500,000, 10/2016 – 9/2019.
  • PI: Software-Defined Visualization for Integrated Simulation and Analysis. Intel Center of Excellence, $250,000, 10/2016 – 9/2017.
  • PI: Unimpeded In Situ Visualization on Intel Xeon and Intel Xeon Phi. Intel Parallel Computing Center (IPCC), $102,309, 10/2016 – 9/2017.
  • co-PI: Stampede 2: The Next Generation of Petascale Computing for Science and Engineering. US NSF OAC-1540931, $30,000,000, 6/2016 – 5/2020.
  • PI: Intel Rendering Infrastructure Development Phase 3. Intel Corporation, $54,322, 9/2015 – 12/2015.
  • PI: Intel Rendering Infrastructure Development Phase 2.5. Intel Corporation, $39,992, 6/2015 – 8/2015.
  • co-PI: Geomechanical Visualization Development Phase 2. ConocoPhillips, $650,525, 4/2015 – 12/2015.
  • PI: Intel Rendering Infrastructure Development Phase 2. Intel Corporation, $132,773, 1/2015 – 5/2015.
  • PI: Optimizing VTK / ParaView on the Intel Xeon and Xeon Phi. Intel Parallel Computing Center (IPCC), $400,000, 10/2014 – 9/2016.
  • PI: Intel Rendering Infrastructure Development. Intel Corporation, $128,297, 5/2014 – 8/2014.
  • co-PI: Geomechanical Visualization Development Phase 1. ConocoPhillips, $706,110, 1/2014 – 3/2105.
  • PI: Collaborative Research: SI2-SSI: A Comprehensive Ray Tracing Framework for Visualization in Distributed-Memory Parallel Environments. US NSF ACI-1339863, $1,198,122, 10/2013 – 9/2016.
  • PI (acting): Sustainable Places Project Analytics Tool and Portal. US HUD, $450,000, 5/2012 – 2/2014.
  • PI: High-Frequency Meter Data Analysis. Pecan Street Project, $41,408, 12/2011 - 12/2012.
  • PI: VisIt GPU Enhancement. Lawrence Livermore National Laboratory, US DOE, $322,731, 4/2011 – 3/2013.

Teaching

[Dissertation Committees] [Semester Classes] [Short Courses]

DISSERTATION COMMITTEES
  • Hyungman Park, Department of Computer Science, The University of Texas at Austin. Speculative Distributed Ray Scheduling for Large Data Visualization (Don Fussell, Paul Navrátil, advisors).
  • Ashley Phelps, Department of Education, The University of Texas at Austin. Attitudes Towards Technology Use In The 21st Century: An Investigation Into The Perspectives Of Preservice Physical Education (Xiaofen Keating, advisor). Defense: August 4, 2020.
  • Apostolos Athanasiou, Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin. Non-destructive Evaluation Methods for Structures (Salvatore Salamone, advisor). Defense: December 4, 2019.
  • Matthew Larsen, Department of Computer and Information Science, The University of Oregon. Performance Modeling of In Situ Rendering (Hank Childs, advisor). Defense: November 21, 2016.
  • Henry Schreiner, Department of Physics, The University of Texas at Austin. Methods and Simulations of Muon Tomography and Reconstruction (Roy Schwitters, advisor). Defense: May 5, 2016.
SEMESTER CLASSES
  • TC 310 Applied Logic and Reasoning through Programming and Data Analysis. Plan II Honors Program, The University of Texas at Austin. Spring 2020.
  • SSC 335/394 Scientific and Technical Computing. Division of Statistics and Scientific Computation, The University of Texas at Austin. Spring 2013.
  • SSC 489R Graduate Research. Division of Statistics and Scientific Computation, The University of Texas at Austin. Spring 2013.
  • SSC F375/F395 High-Performance Scientific Computing with GPUs. Division of Statistics and Scientific Computation, The University of Texas at Austin. Summer 2012.
  • SSC F375/F395 High-Performance Scientific Computing with GPUs. Division of Statistics and Scientific Computation, The University of Texas at Austin. Summer 2011.
SHORT COURSES
  • Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization Powered by the Intel Rendering Framework (with Greg Abram). Intel Booth tutorial @ SC18. Dallas, Texas. November 14, 2018.
  • Software-Defined Visualization: Getting the most out of ParaView with OSPRay (with Dave DeMarle). Intel HPC Developer Conference. Salt Lake City, Utah. November 12 - 13, 2016.
  • Software-Defined Visualization: Data Analysis for Current and Future Cyberinfrastructure. Intel HPC Developer Conference. Austin, Texas. November 15, 2015.
  • Software-Defined Visualization: Data Analysis for Current and Future Cyberinfrastructure. XSEDE 2015 tutorial, with Ingo Wald. St. Louis, Missouri. July 27, 2015.
  • Texas A&M GPU Workshop. College Station, Texas. August 10 -– 11, 2011.
  • Introduction to Longhorn and GPU-based Computing. IBERGRID 2010. Universidade de Minho. Braga, Portugal. May 28, 2010.
  • Visualization on Ranger and Spur. Tutorial session at TeraGrid 2009. Crystal City, Virginia. June 22- 25, 2009.
  • Advanced Scientific Visualization and Visualization Tutorial. Universidade do Porto. Porto, Portugal. May 28-29, 2009.
  • Basic Scientific Visualization and Visualization Tutorial. Istituto Superior Tecnico, Universidade Tecnica de Lisboa. Lisbon, Portugal. May 25-26, 2009.
  • Tutorial on Visualization on Ranger and Spur. TeraGrid 2008. Las Vegas, Nevada. June 9 - 13, 2008.

Keynotes

  • Let Me Tell You a Story: Enabling Effective and Scalable Communication of Scientific Insights. The 21st EG/VGTC Conference on Visualization (EuroVis 2019). Porto, Portugal. June 4, 2019.
  • Visual Analysis at the Texas Advanced Computing Center. Data Visualization Day at HPE Data Science Institute. Houston, Texas. March 8, 2019.
  • Sailing the Data Deluge: Advanced Computing for Information Visualization and Analysis. The Market Research Technology Event, Las Vegas, Nevada. May 2, 2012.

Invited Talks

  • SOLAR Consortium: Accelerated Ray Tracing for Scientific Simulations. SC19 BOF. November 20, 2019.
  • TACC site update. DOE Computer Graphics Forum. April 28, 2020
  • Improving Visualization Technique Uptake in Medical Communities. IEEE VIS Application Spotlight. Vancouver, Canada. October 21, 2019.
  • Recent Advances in Queuing Ray Tracing for Simulation and In Situ Analysis. Applied Visualization Workshop at Universidade do Minho. Braga, Portugal. June 7, 2019.
  • Visual Analysis at the Texas Advanced Computing Center. Invited talk at INESC TEC, Universidade do Porto. Porto, Portugal. June 4, 2019.
  • Software-Defined Visualization IPCC Updates. Achieving Performance on Large-Scale Intel Xeon-Based Systems BOF @ SC18. Dallas, Texas. November 15, 2018.
  • Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization. TACC Booth talk @ SC18. Dallas, Texas. November 13, 2018.
  • Visualization Communication at Scale: Opportunities for Improved Efficiency. Sixth Annual MVAPICH User Group (MUG) Meeting. Columbus, Ohio. August 7th, 2018.
  • TACC Intel Visualization Center of Excellence 2018 Report. Intel Parallel Computing Center Speaker Series. Teleconference from Austin, Texas. August 2nd, 2018.
  • Seeing the Future: Visual Analysis in the Age of Ubiquitous Computing. Los Alamos National Laboratory Information Science and Technology Seminar Series. Los Alamos, New Mexico. July 25th, 2018.
  • TACC Intel Visualization Center of Excellence 2017 Report. Intel Parallel Computing Center Speaker Series. Teleconference from Austin, Texas. December 20th, 2017.
  • Software-Defined In Situ Visualization with KNL on Stampede2. Intel Nerve Center Booth Talk @ SC17. Denver, Colorado. November 15, 2017.
  • In Situ Workshop Summary: Results Achieved and Next Steps. Intel HPC Developer Conference. Denver, Colorado. November 12, 2017.
  • IXPUG In Situ Workshop Report - Best Practices and Lessons Learned. 2017 IXPUG US Annual Meeting. Austin, Texas. September 27, 2017.
  • Remote and In-Situ Visualization at TACC – Best Practices in the Age of Many Core. First International Workshop on US-China Collaborations in Experience and Best Practice in Supercomputing. New Orleans, Louisiana. July 10, 2017.
  • IXPUG In Situ Workshop Report - Best Practices and Lessons Learned (with Jim Jeffers). Workshop on In Situ Visualization @ ISC17. June 22, 2017.
  • Software-Defined In-Situ Visualization with KNL on Stampede2. Intel Booth Talk @ ISC17. Frankfurt, Germany. June 21, 2017.
  • IXPUG In Situ Visualization Workshop Welcome. IXPUG In Situ Visualization Hackathon. Austin, Texas. May 22, 2017.
  • SDVis and In-Situ Visualization on TACC's Stampede-KNL. Intel HPC Developer Conference. Salt Lake City, Utah. November 13, 2016.
  • Many-Core Hardware. Guest lecture in Parallel Computing for Scientists and Engineers (UT-Austin courses SDS 374C and SDS 394C). Austin, Texas. April 21, 2016.
  • Planning for Visualization on the Xeon Phi (with Hank Childs, Ingo Wald, Aaron Knoll). SC15 Birds of a Feather (BOF). Austin, Texas. November 17, 2015.
  • MPAS-Ocean Rendered with pvOSPRay. Walk-on for Bill Magro Keynote at Intel HPC Developer Conference. Austin, Texas. November 15, 2015.
  • Introduction to Scientific Visualization and Information Visualization. TACC Summer Supercomputing Institute 2015. Austin, Texas. July 8, 2015.
  • GLuRay and OSPRay VTK Renderer. Kitware booth talk at SC14. New Orleans, Louisiana. November 18, 2014.
  • Visualization and Analysis at Exascale: Winning the War on "Big Data". TACC STAR Partner Workshop. Austin, Texas. September 12, 2014.
  • TACC, Visualization and You! University of Texas Honors Colloquium. Austin, Texas. July 25, 2014.
  • Visualization and Analysis at Exascale: Winning the War on "Big Data". Kitware, Inc. Headquarters. Clifton Park, New York. June 25, 2014.
  • HPC, Analysis and Visualization with Xeon and Xeon Phi on TACC Stampede. Intel booth talk at SC13. Denver, Colorado. November 20, 2013.
  • High Fidelity Visualization of Scientific Data. Intel HPC Roundtable. Denver, Colorado. November 17, 2013.
  • Envisioning Scenario Land Use Plans - A GIS Technology Mashup (panel). Texas GIS Forum. Austin, Texas. October 23, 2013.
  • TACC, Visualization and You! Invited Lecture in UGS 303 How Things Work, School of Undergraduate Studies, The University of Texas at Austin. Austin, Texas. October 22, 2013.
  • TACC, Stampede and Vis. SIGGRAPH 2013 Interview with Steve Waskul for Waskul.tv and Intel. Anaheim, California. July 24, 2013.
  • Visualization on Stampede. SIGGRAPH 2013 Intel Sponsored Session. Anaheim, California. July 24, 2013.
  • High-Fidelity Visualization. SIGGRAPH 2013 Industry panel with Jon Peddie Research. Anaheim, California. July 24, 2013.
  • Interactively Visualizing Science Remotely and at Scale. DellXL Consortium Spring Meeting. Santa Cruz, California. April 18, 2013.
  • GPU Hardware. Guest lecture in UTCS 380P Parallel Programming, Department of Computer Science, The University of Texas at Austin. Austin, Texas. April 17, 2013.
  • Enabling the Smart Grid through Big Data. TACC Research Talk at SC12. Salt Lake City, Utah. November 14, 2012.
  • DisplayCluster: An Interactive Visualization Environment For Tiled Displays. TACC Research Talk at SC12. Salt Lake City, Utah. November 13, 2012.
  • Enabling the Smart Grid through Big Data. Intel Theater at SC12. Salt Lake City, Utah. November 13, 2012.
  • How "Big Data" Fits into the Smart Grid Evolution. SXSW Eco. Austin, Texas. October 3, 2012.
  • How to Succeed in CS, ECE and UT. Magellan's Circle Lecture, School of Undergraduate Studies, The University of Texas at Austin. Austin, Texas. October 2, 2012.
  • Smart Homes and Distributed Generation (Panel 37). Great Lakes Symposium on Smart Grid and the New Energy Economy. Chicago, Illinois. September 26, 2012.
  • TACC, Visualization and You! Professor Lecture at Camp Texas. Marble Falls, Texas. August 10 & 12, 2012.
  • Large Scale Visualization in Linux. Texas Linux Fest. San Antonio, Texas. August 4, 2012.
  • Visualization Clusters: from Tiled Displays to Remote Visualization. Microsoft Research Invited Lecture. Seattle, Washington. November 15, 2011.
  • Visualization Clusters: from Tiled Displays to Remote Visualization. IEEE Cluster 2011. Austin, Texas. September 29, 2011.
  • General-Purpose GPU Programming: Hardware Considerations. Guest lecture in UTCS 380P Parallel Programming, Department of Computer Science, The University of Texas at Austin. Austin, Texas. March 28, 2011.
  • Large-Scale Isosurfacing on a Distributed GPU Cluster. TACC booth talk, SC10. New Orleans, Louisiana. November 17, 2010.
  • Large-Scale Isosurfacing on a Distributed GPU Cluster. NVIDIA booth talk, SC10. New Orleans, Louisiana. November 16, 2010.
  • Large-Scale Visualizaiton using a GPU Cluster (with Byungil Jeong). NVIDIA GPU Technology Conference. San Jose, California. September 20-23, 2010.
  • Large-Scale Visualization at TACC. Dell HPC Webinar. March 30, 2010.
  • Guest Lecturer for SSC 374E/394E: Visualization and Data Analysis for Scientists and Engineers. Division of Statistics and Scientific Computation, The University of Texas at Austin. Fall 2009.
  • Guest Lecturer for SSC 335: Introduction to Scientific and Technical Computing. Division of Statistics and Scientific Computation, The University of Texas at Austin. Fall 2008, Spring 2009.
  • Tutorial on Visualization on Ranger and Spur. TeraGrid 2008. Las Vegas, Nevada. June 9 - 13, 2008.
  • Teaching Assistant and Guest Lecturer for CS 378: Game Technology. Department of Computer Science, The University of Texas at Austin. Austin, Texas. Spring 2007.

Last updated October 2020