Paul A. Navrátil

Senior Research Scientist · Director of Strategic Technologies · Texas Advanced Computing Center · University of Texas at Austin
ACB 3.204 M/S R8700· Texas Advanced Computing Center · 10505 Exploration Way · Austin, TX 78758-4497 · pnav@tacc.utexas.edu

I am the Director of Strategic Technologies at the Texas Advanced Computing Center (TACC), a Senior Research Scientist at the University of Texas at Austin, and faculty for the Plan II interdisciplinary honors program. I lead a team tasked with imagining the scientific workflows of 2030 and beyond, encompassing hardware, software, data, analysis and UI/UX needs, developing TACC strategy to address those needs, and implementing transformative projects to achieve that vision.

Previously, I was Director of the Visualization area at TACC, where my research interests included 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 work includes software-defined visualization capabilities, particularly the NSF-funded GraviT project, the DOE-funded Galaxy project, and the Intel supported SpRay project which all enable large-scale distributed-memory ray tracing in various forms. This work enables photo-realistic rendering of the largest datasets produced on supercomputers today. I also developed and still maintain the TACC Analysis Portal, a site providing remote web-based access to TACC interactive analysis capabilities.

I also teach TC 310: Applied Logic and Reasoning through Programming and Data Analysis for the Plan II interdisciplinarity honors program in the College of Liberal Arts at the University of Texas at Austin. This course provides students with a foundation for continued self-education and exploration in the rich Python software ecosystem as well as experience with fundamental concepts in Artificial Intelligence (particularly neural networks) and the deeper implications for society and our own concept of humanity.

Publications

Books and Editorships

  1. Proceedings of the 12th IEEE Symposium on Large Data Analysis and Visualization.
    Johanna Beyer, Steffen Frey, Paul Navrátil, editors. October 2022.
  2. Special Issue - Analytic Rendering and Hardware-Accelerated Ray Tracing for Simulation Science.
    IEEE Computing in Science & Engineering. Paul Navrátil, Christiaan Gribble, Pascal Grossett, John Stone, editors.
    Volume 24, Issue 2. March - April 2022.
  3. Proceedings of the 11th IEEE Symposium on Large Data Analysis and Visualization.
    Johanna Beyer, Peer-Timo Bremer, Paul Navrátil, editors. October 2021.
  4. Special Issue - Large Scale Science on NSF's Frontera System.
    Computing in Science & Engineering. John West, Paul Navrátil, Maytal Dahan, Matthew Vaughn, editors.
    Volume 23, Issue 3. May - June 2021.
  5. Special Issue XSEDE16 & PEARC17 - Practice and Experience in Advanced Research Computing.
    Concurrency and Computation: Practice and Experience (CPE). Paul Navrátil, Maytal Dahan, editors. 2019.
  6. Proceedings of the Fifth Extreme Science and Engineering Discovery Environment Conference (XSEDE16).
    Paul Navrátil, Maytal Dahan, David Hart, Alana Romanella, Nitin Sukhija, editors. July 2016.
  7. Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization.
    Carsten Dachsbacher, Paul Navrátil, editors. May 2015.
  8. Memory-Efficient, Scalable Ray Tracing.
    Paul Navrátil. Ph.D. Dissertation, Department of Computer Science, The University of Texas at Austin. August 2010.
    URI: 2152/ETD-UT-2010-08-1982

Journal Articles and Book Chapters

  1. Data-Aware Predictive Scheduling for Distributed-Memory Ray Tracing.
    Hyungman Park, Donald Fussell, Paul Navrátil.
    IEEE Transactions on Visualization and Computer Graphics (IEEE LDAV Best Paper). 28(1):1172-1181, January 2022.
    DOI: 10.1109/TVCG.2021.3114838
  2. Distributed Multi-tenant In Situ Analysis using Galaxy.
    Greg Abram, Paul Navrátil, David Rogers and James Ahrens.
    In In Situ Visualization for Computational Science, Hank Childs, Janine C. Bennett, Christoph Garth, eds., 2022. pp. 421-438.
    DOI: 10.1007/978-3-030-81627-8_19
  3. A Simulation-Oblivious Data Transport Model for Flexible In Transit Visualization.
    Will Usher, Hyungman Park, Myoungkyu Lee, Paul Navrátil, Donald Fussell and Valerio Pascucci.
    In In Situ Visualization for Computational Science, Hank Childs, Janine C. Bennett, Christoph Garth, eds., 2022. pp. 399-419.
    DOI: 10.1007/978-3-030-81627-8_18
  4. A Terminology for In Situ Visualization and Analysis Systems.
    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.
    International Journal of High Performance Computing Applications, 34(6):676-691, November 2020.
    DOI: 10.1177/1094342020935991
  5. OSPRay - A CPU Ray Tracing Framework for Scientific Visualization.
    Ingo Wald, Greg P. Johnson, Jeff Amstutz, Carson Brownlee, Aaron Knoll, Jim Jeffers, Johannes Günther, Paul Navrátil.
    IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization), 23(1):931-940, January 2017.
    DOI: 10.1109/TVCG.2016.2599041
  6. Exploring the Spectrum of Dynamic Scheduling Algorithms for Scalable Distributed-Memory Ray Tracing.
    Paul Navrátil, Hank Childs, Donald S. Fussell, Calvin Lin.
    IEEE Transactions on Visualization and Computer Graphics. 20(6):893—906, June 2014.
    DOI: 10.1109/TVCG.2013.261
  7. RBF Volume Ray Casting on Multicore and Manycore CPUs.
    Aaron Knoll, Ingo Wald, Paul Navrátil, Anne Bowen, Khairi Reda, Michael E. Papka, Kelly Gaither.
    Computer Graphics Forum (Proceedings of Eurographics Conference on Visualization). 33(3):71-80, June 2014.
    DOI: 10.1111/cgf.12363
  8. Experimental and Data Collection Methods for a Large-Scale Smart Grid Deployment: Methods and First Results.
    Joshua D. Rhodes, Charles R. Upshaw, Chioke B. Harris, Colin M. Meehan, David A. Walling, Paul 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.
    Energy. 65(1):462-471, February 2014.
    DOI: 10.1016/j.energy.2013.11.004
  9. Visualization of Cosmological Point-Based Datasets.
    Paul Navrátil, Jarrett L. Johnson and Volker Bromm.
    IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization 2007), November 2007.
    DOI: 10.48550/arXiv.0708.0961

Other Refereed Papers

  1. Immersive OSPRay: Enabling VR Experiences with OSPRay.
    Jung Who Nam, Greg Abram, Francesca Samsel, Paul Navrátil.
    Proceedings of PEARC '23: Practice and Experience in Advanced Research Computing. July 2023, 226-230.
    DOI: 10.1145/3569951.3597579
  2. LOOM: Interweaving tightly coupled visualization and numeric simulation framework.
    João Barbosa, Paul Navrátil, Luis Paulo Santos, Don Fussell.
    Proceedings of ISAV '21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization.
    DOI: 10.1145/3490138.3490139
  3. Environmental Visualization: Moving Beyond the Rainbows.
    Stephanie Zeller, Francesca Samsel, Paul Navrátil.
    In Proceedings of PEARC20. July 30, 2020.
  4. Implementing a Prototype System for 3D Reconstruction of Compressible Flow.
    Christiaan Gribble, Victor Eijkhout, Paul Navrátil.
    In Proceedings of PEARC20. July 28, 2020.
  5. Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields.
    Colin Ware, Francesca Samsel, David Rogers, Paul Navrátil, Ayat Mohammed.
    In Proceedings of EuroVis 2020. May 26, 2020.
  6. High-fidelity Rendering for Large Tiled Displays.
    Joao Barbosa, Paul Navrátil.
    In Proceedings of the Intel eXtreme Performance User Group (IXPUG) Conference 2019. September 25, 2019.
  7. Highlight Insert Colormaps: Luminance for Focused Data Analysis.
    Francesca Samsel, Trinity Obermyer, Paul Navrátil.
    In Proceedings of Eurographics Conference on Visualization - Short Papers. June 2019. 55 - 59.
  8. Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization.
    Greg Abram, Paul Navrátil, Pascal Grossett, David Rogers, James Ahrens.
    IEEE Large Data Analysis and Visualization. October 2018.
    DOI: 10.1109/LDAV.2018.8739241
  9. SpRay: Speculative Ray Scheduling for Large Data Visualization.
    Hyungman Park, Donald Fussell, Paul Navrátil.
    IEEE Large Data Analysis and Visualization. October 2018.
    DOI: 10.1109/LDAV.2018.8739224
  10. Volume Rendering via Data-Parallel Primitives.
    Matt Larsen, Stephanie Labasan, Paul Navrátil, Jeremy Meredith, Hank Childs.
    Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization. May 2015.
  11. Ray-Tracing within a Data Parallel Framework.
    Matt Larsen, Jeremy Meredith, Paul Navrátil, Hank Childs.
    Proceedings of IEEE Pacific Visualization Symposium, April 2015. 279—286.
  12. Picowalls: Portable Tiled Display Walls from Pico Projector Arrays.
    Aaron Knoll, Cody Hammock, Jo Wozniak, Nathaniel Mendoza, Paul Navrátil, Brandt Westing.
    Proceedings of VISTech 2013. November 22, 2013.
  13. Ray Tracing and Volume Rendering Large Molecular Data on Multi-Core and Many-Core Architectures.
    Aaron Knoll, Ingo Wald, Paul Navrátil, Michael E. Papka, Kelly P. Gaither.
    Proceedings of UltraVis 2013. November 17, 2013.
  14. Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python.
    Cyrus Harrison, Paul Navrátil, Maysam Moussalem, Ming Jiang, Hank Childs.
    Proceedings of Workshop on Python for High Performance and Scientific Computing (PyHPC) 2012. November 16, 2012.
  15. Virtual Rheoscopic Fluids for Dense Large-Scale Fluid Flow Visualizations.
    Paul Navrátil, William L. Barth, Hank Childs.
    Proceedings of IEEE Symposium on Large Data Analysis and Visualization (LDAV) 2012. October 14-15, 2012.
  16. DisplayCluster: An Interactive Visualization Environment for Tiled Displays.
    Gregory P. Johnson, Gregory D. Abram, Brandt Westing, Paul Navrátil, Kelly P. Gaither.
    Proceedings of IEEE Cluster 2012. September 24-28, 2012.
  17. Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing.
    Paul Navrátil, Donald S. Fussell, Calvin Lin and Hank Childs.
    Proceedings of Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) 2012. 61—70. May 13-14, 2012. Awarded Best Paper
  18. Configurable Data Prefetching Scheme for Interactive Visualization of Large-Scale Volume Data.
    Byungil Jeong, Paul Navrátil, Kelly P. Gaither, Gregory Abram and Gregory P. Johnson.
    Proceedings of Visualization and Data Analysis (VDA) 2012. 8294-17. January 23-25, 2012.
  19. VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data.
    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.
    Proceedings of the 2011 SciDAC Conference. July, 2011.
  20. Increasing Hardware Utilization for Peta-Scale Visualization.
    Paul A. Navrátil, Donald S. Fussell, Calvin Lin. Proceedings of the High-End Visualization Workshop. December 2010.
  21. Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets.
    S. Daruru, S. Dhandapani, G. Gupta, I. Iliev, W. Xu, Paul Navrátil, N. Marin, J. Ghosh.
    Proceedings of KDCloud-10. December 2010.
  22. A Practical Guide to Large-Tiled Displays.
    Paul Navrátil, Brandt Westing, Greg P. Johnson, Ashwini Athyle, Jose Carreno, Freddy Rojas.
    Proceedings of the International Symposium on Visual Computing 2009.
  23. Dynamic Ray Scheduling for Improved System Performance.
    Paul Navrátil, Donald S. Fussell, Calvin Lin and William R. Mark.
    Proceedings of the Symposium on Interactive Ray Tracing, 2007.
  24. Mining Answers from Texts and Knowledge Bases: Our Position.
    Bruce Porter, Ken Barker, James Fan, Paul Navrátil, Dan Tecuci, Peter Yeh and Peter Clark.
    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.
  25. TeamTexas: a Simulator Team for RoboCup 1998.
    Paul Navrátil.
    Proceedings of the Second RoboCup Workshop, Minoru Asada, ed. pp. 373 - 377.

Visualizations

  1. Visualizing Usage on HPC Systems.
    Andrew Solis, Gregory Foss, Matias Fragoso, Paul Navrátil.
    In SC20 Scientific Visualization & Data Analytics Showcase. November 17-19, 2020.
  2. The Break of Waves.
    Paul Navrátil, William Barth, Karla Vega.
    Discover Magazine Beauty of Big Data gallery. January 2017.
  3. Seeking Its Own Level.
    Carson Brownlee, Aaron Knoll, Paul Navrátil, Kevin Cunningham, Michael Sukop, Sade Garcia.
    Discover Magazine Beauty of Big Data gallery. January 2017.
  4. ParaView + OSPRay: High-Fidelity Ray Tracing for Scientific Visualization.
    Carson Brownlee, Greg Abram, João Barbosa, Ingo Wald, Jeff Amstutz, Paul Navrátil.
    XSEDE16 Visualization Showcase. July 17-21, 2016.
  5. Visualizing Groundwater Flow Through Karst Limestone.
    Carson Brownlee, Aaron Knoll, Paul Navrátil, Kevin Cunningham, Michael Sukop, Sadé Garcia.
    Proceedings of the Eurographics Symposium on Parallel Graphics and Visualization. May 2015. Awarded Best Visualization Showcase.
  6. Virtual Rheoscopic Fluid for Large Dynamics Visualization.
    Paul Navrátil, William L. Barth, Hank Childs.
    SC12 Visualization Showcase. November 10-16, 2012.
  7. Taylor-Couette Flow in a Virtual Rheoscopic Fluid.
    Paul Navrátil, William L. Barth.
    SC11 Scientific Visualization Showcase. November 12-18, 2011.
  8. Life and Death of the First Stars.
    Paul Navrátil, Jarrett Johnson, Volker Bromm.
    Finalist, NSF International Science and Engineering Visualization Challenge. November 2010.
  9. The Bubble Beginning.
    Paul Navrátil, Jarrett Johnson, Volker Bromm.
    Bild der Wissenschaft, August 2010.
  10. The Bubble Beginning.
    Paul Navrátil, Jarrett Johnson, Volker Bromm.
    Discover, “Presents the Whole Universe” special issue. Fall 2008.
  11. The First Stars.
    Paul Navrátil, Jarrett Johnson, Thomas H. Greif, Volker Bromm.
    In: Dennis Overbye. “First Stars Were Brutes, but Died Young, Astronomers Say,” New York Times, August 1st, 2008.

Other Publications

  1. Towards Quantum Ray Tracing.
    Luís Paulo Santos, Thomas Bashford-Rogers, João Barbosa, Paul Navrátil.
    arXiv pre-print. April 27, 2022. DOI: 10.48550/arXiv.2204.12797
  2. Analytic Rendering and Hardware-Accelerated Simulation for Scientific Applications.
    Paul Navrátil, C. Gribble, P. Grosset and J. E. Stone.
    In IEEE Computing in Science & Engineering, 24(2):4-6. March-April 2022. DOI: 10.1109/MCSE.2022.3163480
  3. Finding Goldilocks: Just Right Analysis Environments for Supercomputing Beyond the Desktop.
    Paul Navrátil.
    DOE ASCR Workshop on Visualization and Data Analysis. January 18-20, 2022.
  4. XR Challenges.
    Andrew Solis, Anne Bowen, Paul Navrátil.
    DOE ASCR Workshop on Visualization and Data Analysis. January 18-20, 2022.
  5. Large-Scale Data Organization for Interactive Analysis.
    David Waling, Paul Navrátil.
    TACC Technical Report TR-12-03. May 4, 2012.
  6. A Practical Guide to Large-Tiled Displays.
    Paul Navrátil, Brandt Westing, Greg P. Johnson, Ashwini Athyle, Jose Carreno, Freddy Rojas.
    Texas Advanced Computing Center: TACC TR-09-04, 2009.
  7. Visualizing Workplace Dynamics from Natural Digital Archives.
    Paul Navrátil, Maria Esteva.
    Texas Advanced Computing Center: TACC TR-08-04, 2008.
  8. The Colt Visualization Cluster.
    Gregory P. Johnson, Paul Navrátil, David Gignac, Karl Schulz, Tommy Minyard.
    Texas Advanced Computing Center: TACC TR-07-03, 2007.
  9. An Analysis of Ray Tracing Bandwidth Consumption.
    Paul Navrátil and William R. Mark.
    The University of Texas at Austin, Department of Computer Sciences. Technical Report TR-06-40.

Grants and Contracts

  1. PI · Improving Object Detection in Adverse Conditions for Autonomous Vehicles using Differentiable Ray Tracing and Adaptive Headlight Control.
    UT Machine Learning Laboratory (MLL), $50,000, 1/2023 - 12/2023.
  2. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $150,000, 10/2022 - 9/2023.
  3. Co-PI · Driving Natural Gas Systems to Reduced Greenhouse Gas Emissions.
    University of Texas Energy Institute (EI), $300,000, 1/2020 - 12/2021.
  4. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $150,000, 10/2020 - 9/2021.
  5. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $150,000, 10/2019 - 9/2020.
  6. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $187,500, 10/2018 - 9/2019.
  7. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $250,000, 10/2017 - 9/2018.
  8. PI · Accelerated 3D Reconstruction and Visualization of Compressible Flow.
    SURVICE Engineering S17-032001, $166,074, 5/2017 - 1/2019.
  9. Co-PI · CRISP Type 2: Natural Gas Production, Electricity, and Water Infrastructures - Economic, Environmental and Agricultural Impacts in the Texas-Mexico Border Region.
    US National Science Foundation (NSF) CMMI- 1540941, $2,500,000, 10/2016 - 9/2019.
  10. PI · Software-Defined Visualization for Integrated Simulation and Analysis.
    Intel Center of Excellence, $250,000, 10/2016 - 9/2017.
  11. PI · Unimpeded In Situ Visualization on Intel Xeon and Intel Xeon Phi.
    Intel Parallel Computing Center (IPCC), $102,309, 10/2016 - 9/2017.
  12. Co-PI · Stampede 2: The Next Generation of Petascale Computing for Science and Engineering.
    US National Science Foundation (NSF) OAC-1540931, $30,000,000, 6/2016 - 5/2020.
  13. PI · Intel Rendering Infrastructure Development Phase 3.
    Intel Corporation, $54,322, 9/2015 - 12/2015.
  14. PI · Intel Rendering Infrastructure Development Phase 2.5.
    Intel Corporation, $39,992, 6/2015 - 8/2015.
  15. Co-PI · Geomechanical Visualization Development Phase 2.
    ConocoPhillips, $650,525, 4/2015 - 12/2015.
  16. PI · Intel Rendering Infrastructure Development Phase 2.
    Intel Corporation, $132,773, 1/2015 - 5/2015.
  17. PI · Optimizing VTK / ParaView on the Intel Xeon and Xeon Phi.
    Intel Parallel Computing Center (IPCC), $400,000, 10/2014 - 9/2016.
  18. PI · Intel Rendering Infrastructure Development.
    Intel Corporation, $128,297, 5/2014 - 8/2014.
  19. Co-PI · Geomechanical Visualization Development Phase 1.
    ConocoPhillips, $706,110, 1/2014 - 3/2105.
  20. PI · Collaborative Research: SI2-SSI: A Comprehensive Ray Tracing Framework for Visualization in Distributed-Memory Parallel Environments.
    US National Science Foundation (NSF) ACI-1339863, $1,198,122, 10/2013 - 9/2016.
  21. PI (acting) · Sustainable Places Project Analytics Tool and Portal.
    US Department of Housing and Urban Development (HUD), $450,000, 5/2012 - 2/2014.
  22. PI · High-Frequency Meter Data Analysis.
    Pecan Street Project, $41,408, 12/2011 - 12/2012.
  23. PI · VisIt GPU Enhancement.
    Lawrence Livermore National Laboratory, US Department of Energy (DOE), $322,731, 4/2011 - 3/2013.

Teaching

Doctoral Committees

  1. Hyungman Park · Speculative Distributed Ray Scheduling for Large Data Visualization
    Don Fussell, Paul Navrátil, advisors. Department of Computer Science, The University of Texas at Austin.
    Defense: July 29, 2021. DOI: 10.26153/tsw/41099
  2. Ashley Phelps · Attitudes Towards Technology Use In The 21st Century: An Investigation Into The Perspectives Of Preservice Physical Education
    Xiaofen Keating, advisor. Department of Education, The University of Texas at Austin.
    Defense: August 4, 2020. DOI: 10.26153/tsw/13844
  3. Apostolos Athanasiou · Non-destructive Evaluation Methods for Structures
    Salvatore Salamone, advisor. Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin.
    Defense: December 4, 2019.
  4. Matthew Larsen · Performance Modeling of In Situ Rendering
    Hank Childs, advisor. Department of Computer and Information Science, The University of Oregon.
    Defense: November 21, 2016.
  5. Henry Schreiner · Methods and Simulations of Muon Tomography and Reconstruction
    Roy Schwitters, advisor. Department of Physics, The University of Texas at Austin.
    Defense: May 5, 2016. URI: 2152/39757

Masters Committees

  1. Stephanie Zeller · Beyond Representation: Arts-Informed Visualization Praxis for Earth Systems Simulation Data
    Paul Adams, advisor. Department of Geography, The University of Texas at Austin.
    Defense: April 21, 2023.

Undergraduate Honors Committees

  1. Anuraag Routray · Tanking in the NBA: How, When and Why
    Paul Navrátil, advisor. Plan II Interdisciplinary Honors, The University of Texas at Austin.
  2. Alexander Tsioutsias · Impacts of State-Sponsored Digital Surveillance
    Paul Navrátil, advisor. Plan II Interdisciplinary Honors, The University of Texas at Austin.
  3. Devin Geelhoed · Shooting for Success: An Analysis of Predictive Basketball Analytics
    Paul Navrátil, advisor. Plan II Interdisciplinary Honors, The University of Texas at Austin.
    Defense: April 26, 2023. DOI: 10.26153/tsw/46111
  4. Rohit Srinivasan · A Comparative Analysis of Recent Crashes and Contagions
    Kumar Muthuraman, advisor. Plan II Interdisciplinary Honors, The University of Texas at Austin.
    Defense: April 27, 2023.
  5. Jackson Hassell · Using Supervised Learning Techniques to Predict Television Ratings
    Paul Navrátil, advisor. Plan II Interdisciplinary Honors and Computer Science Honors, The University of Texas at Austin.
    Defense: May 15, 2020. DOI: 10.26153/tsw/11317

Semester Classes

  1. TC 660HA · Thesis Course: Honors
    Plan II Honors Program, The University of Texas at Austin. Fall 2023.
  2. BDP 325K · Connecting Experience
    Bridiging Disciplines Program, The University of Texas at Austin. Summer 2023.
  3. TC 660HB · Thesis Course: Honors
    Plan II Honors Program, The University of Texas at Austin. Spring 2023.
  4. TC 660HA · Thesis Course: Honors
    Plan II Honors Program, The University of Texas at Austin. Fall 2022.
  5. TC 310 · Applied Logic and Reasoning through Programming and Data Analysis
    Plan II Honors Program, The University of Texas at Austin. Spring 2022.
  6. GRG 397 · Applied Logic and Data Analysis Seminar
    Department of Geography, The University of Texas at Austin. Fall 2021.
  7. TC 310 · Applied Logic and Reasoning through Programming and Data Analysis
    Plan II Honors Program, The University of Texas at Austin. Fall 2021.
  8. CS 370w · Independent Study
    Department of Computer Science, The University of Texas at Austin. Summer 2021.
  9. CS 379 · Honors Thesis
    Department of Computer Science, The University of Texas at Austin. Spring 2020.
  10. TC 310 · Applied Logic and Reasoning through Programming and Data Analysis
    Plan II Honors Program, The University of Texas at Austin. Spring 2020.
  11. SSC 335/394 · Scientific and Technical Computing
    Division of Statistics and Scientific Computation, The University of Texas at Austin. Spring 2013.
  12. SSC 489R · Graduate Research
    Division of Statistics and Scientific Computation, The University of Texas at Austin. Spring 2013.
  13. SSC F375/F395 · High-Performance Scientific Computing with GPUs
    Division of Statistics and Scientific Computation, The University of Texas at Austin. Summer 2012.
  14. 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

  1. Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization Powered by the Intel Rendering Framework
    Taught with Greg Abram. Intel Booth tutorial @ SC18. Dallas, Texas. November 14, 2018.
  2. Software-Defined Visualization: Getting the most out of ParaView with OSPRay
    Taught with Dave DeMarle. Intel HPC Developer Conference. Salt Lake City, Utah. November 12 - 13, 2016.
  3. Software-Defined Visualization: Data Analysis for Current and Future Cyberinfrastructure
    Intel HPC Developer Conference. Austin, Texas. November 15, 2015.
  4. Software-Defined Visualization: Data Analysis for Current and Future Cyberinfrastructure
    Taught with Ingo Wald. XSEDE 2015 tutorial. St. Louis, Missouri. July 27, 2015.
  5. Texas A&M GPU Workshop
    College Station, Texas. August 10-11, 2011.
  6. Introduction to Longhorn and GPU-based Computing
    IBERGRID 2010. Universidade de Minho. Braga, Portugal. May 28, 2010.
  7. Visualization on Ranger and Spur
    Tutorial session at TeraGrid 2009. Crystal City, Virginia. June 22-25, 2009.
  8. Advanced Scientific Visualization and Visualization Tutorial
    Universidade do Porto. Porto, Portugal. May 28-29, 2009.
  9. Basic Scientific Visualization and Visualization Tutorial
    Istituto Superior Tecnico, Universidade Tecnica de Lisboa. Lisbon, Portugal. May 25-26, 2009.
  10. Tutorial on Visualization on Ranger and Spur
    TeraGrid 2008. Las Vegas, Nevada. June 9-13, 2008.

Talks

Keynotes

  1. Communicating the Value of your Plan II degree
    Plan II Student Career Week keynote, February 24, 2022.
  2. 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.
  3. 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.
  4. Visual Analysis at the Texas Advanced Computing Center
    Data Visualization Day at HPE Data Science Institute. Houston, Texas. March 8, 2019.
  5. Sailing the Data Deluge: Advanced Computing for Information Visualization and Analysis
    The Market Research Technology Event, Las Vegas, Nevada. May 2, 2012.

Invited Talks

  1. Data Analysis resources at TACC
    Guest lecture in ME397 Applied Engineering Data Analysis, Optimization, and Visualization (or Too Big to Excel). February 22, 2023.
  2. Molecular Biology at TACC
    University of Texas Molecular Biology departmental retreat. April 8, 2022.
  3. Data Analysis resources at TACC
    Guest lecture in ME397 Applied Engineering Data Analysis, Optimization, and Visualization (or Too Big to Excel). April 6, 2022.
  4. SOLAR: Ray Tracing for Scientific Simulations
    SC21 Exhibitors Forum. November 18, 2021.
  5. SOLAR Consortium: Accelerated Ray Tracing for Scientific Simulations
    SC19 BOF. November 20, 2019.
  6. TACC site update
    DOE Computer Graphics Forum. April 28, 2020.
  7. Improving Visualization Technique Uptake in Medical Communities
    IEEE VIS Application Spotlight. Vancouver, Canada. October 21, 2019.
  8. Recent Advances in Queuing Ray Tracing for Simulation and In Situ Analysis
    Applied Visualization Workshop at Universidade do Minho. Braga, Portugal. June 7, 2019.
  9. Visual Analysis at the Texas Advanced Computing Center
    Invited talk at INESC TEC, Universidade do Porto. Porto, Portugal. June 4, 2019.
  10. Software-Defined Visualization IPCC Updates
    Achieving Performance on Large-Scale Intel Xeon-Based Systems BOF @ SC18. Dallas, Texas. November 15, 2018.
  11. Galaxy: Asynchronous Ray Tracing for Large High-Fidelity Visualization
    TACC Booth talk @ SC18. Dallas, Texas. November 13, 2018.
  12. Visualization Communication at Scale: Opportunities for Improved Efficiency
    Sixth Annual MVAPICH User Group (MUG) Meeting. Columbus, Ohio. August 7th, 2018.
  13. TACC Intel Visualization Center of Excellence 2018 Report
    Intel Parallel Computing Center Speaker Series. Teleconference from Austin, Texas. August 2nd, 2018.
  14. 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.
  15. TACC Intel Visualization Center of Excellence 2017 Report
    Intel Parallel Computing Center Speaker Series. Teleconference from Austin, Texas. December 20th, 2017.
  16. Software-Defined In Situ Visualization with KNL on Stampede2
    Intel Nerve Center Booth Talk @ SC17. Denver, Colorado. November 15, 2017.
  17. In Situ Workshop Summary: Results Achieved and Next Steps
    Intel HPC Developer Conference. Denver, Colorado. November 12, 2017.
  18. IXPUG In Situ Workshop Report - Best Practices and Lessons Learned
    2017 IXPUG US Annual Meeting. Austin, Texas. September 27, 2017.
  19. 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.
  20. IXPUG In Situ Workshop Report - Best Practices and Lessons Learned
    With Jim Jeffers. Workshop on In Situ Visualization @ ISC17. June 22, 2017.
  21. Software-Defined In-Situ Visualization with KNL on Stampede2
    Intel Booth Talk @ ISC17. Frankfurt, Germany. June 21, 2017.
  22. IXPUG In Situ Visualization Workshop Welcome
    IXPUG In Situ Visualization Hackathon. Austin, Texas. May 22, 2017.
  23. SDVis and In-Situ Visualization on TACC's Stampede-KNL
    Intel HPC Developer Conference. Salt Lake City, Utah. November 13, 2016.
  24. 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.
  25. 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.
  26. MPAS-Ocean Rendered with pvOSPRay
    Walk-on for Bill Magro Keynote at Intel HPC Developer Conference. Austin, Texas. November 15, 2015.
  27. Introduction to Scientific Visualization and Information Visualization
    TACC Summer Supercomputing Institute 2015. Austin, Texas. July 8, 2015.
  28. GLuRay and OSPRay VTK Renderer
    Kitware booth talk at SC14. New Orleans, Louisiana. November 18, 2014.
  29. Visualization and Analysis at Exascale: Winning the War on "Big Data"
    TACC STAR Partner Workshop. Austin, Texas. September 12, 2014.
  30. TACC, Visualization and You!
    University of Texas Honors Colloquium. Austin, Texas. July 25, 2014.
  31. Visualization and Analysis at Exascale: Winning the War on "Big Data"
    Kitware, Inc. Headquarters. Clifton Park, New York. June 25, 2014.
  32. HPC, Analysis and Visualization with Xeon and Xeon Phi on TACC Stampede
    Intel booth talk at SC13. Denver, Colorado. November 20, 2013.
  33. High Fidelity Visualization of Scientific Data
    Intel HPC Roundtable. Denver, Colorado. November 17, 2013.
  34. Envisioning Scenario Land Use Plans - A GIS Technology Mashup
    Texas GIS Forum panel. Austin, Texas. October 23, 2013.
  35. 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.
  36. TACC, Stampede and Vis
    SIGGRAPH 2013 Interview with Steve Waskul for Waskul.tv and Intel. Anaheim, California. July 24, 2013.
  37. Visualization on Stampede
    SIGGRAPH 2013 Intel Sponsored Session. Anaheim, California. July 24, 2013.
  38. High-Fidelity Visualization
    SIGGRAPH 2013 Industry panel with Jon Peddie Research. Anaheim, California. July 24, 2013.
  39. Interactively Visualizing Science Remotely and at Scale
    DellXL Consortium Spring Meeting. Santa Cruz, California. April 18, 2013.
  40. GPU Hardware
    Guest lecture in CS 380P Parallel Programming, Department of Computer Science, The University of Texas at Austin. Austin, Texas. April 17, 2013.
  41. Enabling the Smart Grid through Big Data
    TACC Research Talk at SC12. Salt Lake City, Utah. November 14, 2012.
  42. DisplayCluster: An Interactive Visualization Environment For Tiled Displays
    TACC Research Talk at SC12. Salt Lake City, Utah. November 13, 2012.
  43. Enabling the Smart Grid through Big Data
    Intel Theater at SC12. Salt Lake City, Utah. November 13, 2012.
  44. How "Big Data" Fits into the Smart Grid Evolution
    SXSW Eco panel. Austin, Texas. October 3, 2012.
  45. 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.
  46. Smart Homes and Distributed Generation (Panel 37)
    Great Lakes Symposium on Smart Grid and the New Energy Economy. Chicago, Illinois. September 26, 2012.
  47. TACC, Visualization and You!
    Professor Lecture at Camp Texas. Marble Falls, Texas. August 10 & 12, 2012.
  48. Large Scale Visualization in Linux
    Texas Linux Fest. San Antonio, Texas. August 4, 2012.
  49. Visualization Clusters: from Tiled Displays to Remote Visualization
    Microsoft Research Invited Lecture. Seattle, Washington. November 15, 2011.
  50. Visualization Clusters: from Tiled Displays to Remote Visualization
    IEEE Cluster 2011. Austin, Texas. September 29, 2011.
  51. 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.
  52. Large-Scale Isosurfacing on a Distributed GPU Cluster
    TACC booth talk, SC10. New Orleans, Louisiana. November 17, 2010.
  53. Large-Scale Isosurfacing on a Distributed GPU Cluster
    NVIDIA booth talk, SC10. New Orleans, Louisiana. November 16, 2010.
  54. Large-Scale Visualizaiton using a GPU Cluster
    With Byungil Jeong. NVIDIA GPU Technology Conference. San Jose, California. September 20-23, 2010.
  55. Large-Scale Visualization at TACC
    Dell HPC Webinar. March 30, 2010.
  56. SSC 374E/394E · Visualization and Data Analysis for Scientists and Engineers
    Guest Lecturer. Division of Statistics and Scientific Computation, The University of Texas at Austin. Fall 2009.
  57. SSC 335 · Introduction to Scientific and Technical Computing
    Guest Lecturer. Division of Statistics and Scientific Computation, The University of Texas at Austin. Spring 2009.
  58. SSC 335 · Introduction to Scientific and Technical Computing
    Guest Lecturer. Division of Statistics and Scientific Computation, The University of Texas at Austin. Fall 2008.
  59. Visualization on Ranger and Spur
    TeraGrid 2008 Tutorial. Las Vegas, Nevada. June 9 - 13, 2008.
  60. CS 378 · Game Technology
    Teaching Assistant and Guest Lecturer. Department of Computer Science, The University of Texas at Austin. Austin, Texas. Spring 2007.