PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`EDUCATION
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`Ph.D. Computer Science, The University of Texas at Austin, 2010
`Thesis: “Memory-Efficient, Scalable Ray Tracing”
`Supervisors: Donald S. Fussell, Calvin Lin
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`M.S. Computer Science, The University of Texas at Austin, 2006
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`B.S. Computer Science with honors, The University of Texas at Austin, 1999
`Special honors in Computer Science
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`B.A. Plan II with honors, The University of Texas at Austin, 1999
`Dean's Distinguished Graduate in Liberal Arts
`Plan II Model Thesis award
`Phi Beta Kappa inductee
`
`EMPLOYMENT HISTORY
`
`Director of Visualization – Texas Advanced Computing Center
`• Oversee visualization research activities
`Lead remote visualization and large-scale visualization algorithm research efforts
`•
`Eighteen-member team with seven direct reports (as of FY20-21)
`•
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` (2017 – present)
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`Research Scientist – Texas Advanced Computing Center
`Technical lead for remote visualization systems
`•
`• Conduct research in parallel visualization algorithms on multi- and many-core architectures
`• Design next-generation remote visualization resources and remote interfaces leveraging web technologies
`
` (2016 – present)
`
`Adjunct Professor – Division of Statistics and Scientific Computation,
`The University of Texas at Austin
`Teach advanced computing curriculum at both the undergraduate and graduate levels
`•
`• Develop curriculum for advanced computing courses at both the undergraduate and graduate levels.
`
` (2011 – present)
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`Manager - Scalable Visualization Technologies – Texas Advanced Computing Center
`• Oversee large-scale visualization resources and visualization research activities
`Lead remote visualization and large-scale visualization algorithm research efforts
`•
`Ten direct reports: eight full-time staff, one contractor, one graduate research assistant
`•
`
` (2011 – 2017)
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`Research Associate – Texas Advanced Computing Center
`Technical lead for remote visualization systems
`•
`• Conduct research in parallel visualization algorithms and distributed GPU acceleration
`• Design next-generation remote visualization resources
`
` (2010 – 2016)
`
`May 2021
`Page 1 of 14
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`Versata EX2002
`Configit v. Versata
`IPR2021-01055
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`

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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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` (2007 – 2010)
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`Visualization Scientist (RESA V) – Texas Advanced Computing Center
`• Developed large-scale, distributed memory ray tracing system
`• Technical lead for primary remote visualization systems
`• Manager for $500,000 visualization laboratory renovation
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` (summer 2006)
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`-
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`Graduate Intern Technical – Intel Corporation
`• Studied performance characteristics of real-time ray tracers
`(summer 2006, supervisor: James Hurley)
`-
`Instrumented two state-of-the-art ray tracers to measure performance characteristics and opportunities
`for optimization
`Investigated integrating novel algorithm for coherent processing of secondary rays with existing real-
`time ray tracing system
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` (summer 2005)
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`Graduate Research Assistant – Los Alamos National Laboratory
`•
`Investigated cache-efficient ray tracing methods for direct volume visualization
`(summer 2005, supervisor: Allen McPherson)
`- Developed optimized ray tracer to perform direct volume visualization
`- Measured performance of several ray traversal algorithm to determine most suitable method for direct
`volume visualization
`
`
`Graduate Research Assistant – University of Texas at Austin
`• Developed scientific visualizations and visualization technology
`(2006 – 2007, supervisor: Greg S. Johnson)
`- Developed localized interpolation technique for cosmological point-based datasets to facilitate
`isosurface extraction and visualization
`- Visualizations published in International Science Grid This Week, The Alcalde
`Investigated cache-efficient ray tracing methods for current-generation hardware
`(2003 - 2006, supervising professor: Bill Mark, with Don Fussell and Calvin Lin)
`- Developed novel ray traversal algorithm to yield superior cache utilization
`-
`Implemented framework to study cache performance of acceleration structures
`- Developed equations to predict cache behavior of ray traversal
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` (2001 – 2007)
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`•
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`Graduate Research Assistant – University of Texas at Austin
`•
`Investigated compiler assisted optimizations and error detection for OpenGL library
`(2002 - 2003, supervising professor: Calvin Lin)
`- Developed semantic error checking on OpenGL applications and potential library specific-
`optimizations to OpenGL-based application code using research compiler and user-supplied semantic
`annotations for library functions
`Investigated representing event probability in a conceptual knowledge system
`(2001 - 2002, supervising professor: Bruce Porter)
`- Explored adding syntax and semantics for probability to a component-based knowledge system
`- Developed representations of concepts from cell synthesis in a component-based knowledge system
`(a system where complex concepts are built from simpler concepts)
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` (2001 – 2007)
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`•
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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` (1999 – 2001)
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`Software Engineer – Liaison Technology, Inc.
`•
`co-developed patented algorithm and core algorithm code for data-mining semi-structured data
`•
`code formed core of two product lines through multiple release cycles
`•
`lead engineer on multiple critical-path product features
`•
`lead technical contact for business development and sales
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` (1997-1998)
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`Lab Research Assistant II – Applied Research Laboratories
`•
`enhanced existing data-mining prototype to improve acquisition of semi-structured data
`•
`developed graphical user interface (GUI) for prototype
`
`
`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.
`H. Childs, S.D. Ahern, J. Ahrens, A.C. Bauer, J. Bennett, E.W. Bethel, P.-T. Bremer, E. Brugger, J.
`Cottam, M. Dorier, S. Dutta, J. M. Favre, T. Fogal, S. Frey, C. Garth, B. Geveci, W. F. Godoy, C. D.
`Hansen, C. Harrison, B. Hentschel, J. Insley, C. R. Johnson, S. Klasky, A. Knoll, J. Kress, M. Larsen,
`J. Lofstead, K.-L. Ma, P. Malakar, J. Meredith, K. Moreland, P. Navrátil, P. O’Leary, M. Parashar,
`V. Pascucci, J. Patchett, T. Peterka, S. Petruzza, N. Podhorszki, D. Pugmire, M. Rasquin, S. Rizzi, D.
`H. Rogers, S. Sane, F. Sauer, R. Sisneros, H.-W. Shen, W. Usher, R. Vickery, V. Vishwanath, I.
`Wald, R. Wang, G. H. Weber, B. Whitlock, M. Wolf, H. Yu, and S. B. Ziegeler. A Terminology for
`In Situ Visualization and Analysis Systems. International Journal of High Performance Computing
`Applications, 34(6):676–691, November 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.
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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.
`João 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 Overmyer, Paul Navrátil. “Highlight Insert Colormaps: Luminance for Focused
`Data Analysis.” Accepted to EG EuroVis. June 2019.
`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.
`Paul Navrátil, Jim Jeffers. “IXPUG In Situ Workshop Report – Best Practices and Lessons
`Learned.” IXPUG Annual Meeting, Austin, Texas, September 2017.
`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.
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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.
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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. http://discovermagazine.com/galleries/2017/january/visualization
`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.
`http://discovermagazine.com/galleries/2017/january/visualization

`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 (visualization).
`SC11 Scientific Visualization Showcase. November 12-18, 2011.
`Paul A. Navrátil, Jarrett Johnson, Volker Bromm. Life and Death of the First Stars (visualization).
`Finalist, NSF International Science & Engineering Visualization Challenge. November 2010.
`Paul A. Navrátil, Jarrett Johnson, Volker Bromm. The Bubble Beginning (visualization). Bild der
`Wissenschaft, August 2010.
`Paul A. Navrátil, Jarrett Johnson, Volker Bromm. The Bubble Beginning (visualization). Discover,
`“Presents the Whole Universe” special issue. Fall 2008.
`Paul A. Navrátil, Jarrett Johnson, Thomas H. Greif, Volker Bromm. The First Stars (visualization). In:
`Dennis Overbye. “First Stars Were Brutes, but Died Young, Astronomers Say,” New York Times,
`August 1st, 2008.
`
`
`OTHER PUBLICATIONS
`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.
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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
`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, 10/2020 – 9/2021.
`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, $194,300, 5/2017 – 3/2019.
`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 CBET-
`1638258, $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), $200,000 10/2016 – 9/2018.
`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.
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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.
`
`
`PATENTS
`U.S. 6,782,505: Method and System for Generating Structured Data from Semi-Structured Data Sources.
`Dan Miranker, Lance Obermeyer, Paul Navrátil. Issued August 24, 2004.
`
`
`DISSERTATION COMMITTEES
`Hyungman Park, Department of Electrical and Computer Engineering, 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. Fall 2021.
`CS 370w Independent Study. Department of Computer Science, The University of Texas at Austin.
`Summer 2021.
`CS 379 Honors Thesis supervisor. Department of Computer Science, The University of Texas at Austin.
`Spring 2020.
`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 – supervising Ben Urick independent study. 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.
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`May 2021
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
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`815A Brazos #406
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` 512-796-9020
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`Austin, Texas 78701
`____________________________________________________________________________________
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`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.
`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
`Putting Plan II to Use for You. Plan II Commencement alumni speaker. Plan II Honors Program, The
`University of Texas at Austin. May 20, 2021.
`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 and PRESENTATIONS
`TACC Site Report. DOE Computer Graphics Forum. April 27, 2021.
`Visual Analysis on TACC Frontera using the Intel oneAPI Rendering Toolkit (given by Dave Semeraro).
`IXPUG Technical Webinar. April 22, 2021.
`Communicating the Value of a Plan II Degree. Plan II career week. February 25, 2021.
`
`May 2021
`Page 9 of 14
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`

`

`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
`
`
`
`
`
`
`
`815A Brazos #406
`
` 512-796-9020
`
`
`
`
`
`
`
`Austin, Texas 78701
`____________________________________________________________________________________
`
`
`
`Vislabs and VR @ the Texas Advanced Computing Center. St. Jude Children’s Research Hospital.
`January 12, 2021.
`SOLAR: Ray Tracing for Simulation. SC20 Extended Exhibitors Forum (bandit BOF). November 20,
`2020.
`SOLAR: Ray Tracing for Simulation. SC20 Exhibitors Forum. November18, 2020.
`HPC Visual Computing and Analysis Software Development at Exascale. Intel oneAPI Developer
`Summit. November 13, 2020.
`Anonymized Netflow Stream for R&D. UT ISO-Data RIG. October 29, 2020.
`Texas Advanced Computing Center: Resource Overview. UT-Sandia National Lab Bio-RIG. September
`14, 2020.
`SEIR+ Modeling @ TACC – What Python Can Do for You! Lauren A. Meyers Lab guest lecture. May 1,
`2020.
`DOE Computer Graphics Forum. TACC site update. April 28, 2020
`SOLAR Consortium: Accelerated Ray Tracing for Scientific Simulations. SC19 BOF. November 20,
`2019.
`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.
`
`May 2021
`Page 10 of 14
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`

`

`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
`
`
`
`
`
`
`
`815A Brazos #406
`
` 512-796-9020
`
`
`
`
`
`
`
`Austin, Texas 78701
`____________________________________________________________________________________
`
`
`
`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 (with Tosh Tambe). Intel HPC Roundtable at SC13.
`Denver, Colorado. November 17, 2013.
`Envisioning Scenario Land Use Plans - A GIS Technology Mashup. Panel at Texas GIS Forum, Austin,
`Texas. October 23, 2013.
`TACC, Visualization and You! Invited lecture in How Things Work (UT-Austin course UGS 303).
`Austin, Texas. October 22, 2013.
`TACC, Stampede and Vis. Interview with Steve Waskul for Waskul.tv and Intel at SIGGRAPH.
`Anaheim, California. July 24, 2013.
`
`May 2021
`Page 11 of 14
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`PAUL A. NAVRÁTIL
`p.a.navratil@gmail.com
`
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