Sunday, October 13, 2024 (Eastern Daylight Time GMT-4)
| 12:00pm – 12:10pm | Opening Remarks (Silvio Rizzi) |
| 12:10pm – 01:00pm |
Keynote PresentationJefferson AmstutzDetails |
| 01:00pm – 01:15pm | Best Paper
Web-based Visualization and Analytics of Petascale data: Equity as a Tide that Lifts All Boats Aashish Panta, Xuan Huang, Nina McCurdy, David Ellsworth, Amy Gooch, Giorgio Scorzelli, Hector Torres, Patrice Klein, Gustavo Ovando-Montejo, Valerio Pascucci |
| 01:15pm – 01:45pm | Break |
| 01:45pm – 03:00pm |
Papers Session(Session Chair: Ken Moreland) |
| 01:45pm | Efficient Analysis and Visualization of High-Resolution Computed Tomography Data for the Exploration of Enclosed Cuneiform Tablets Stephan Olbrich, Andreas Beckert, Cécile Michel, Christian Schroer, Samaneh Ehteram, Andreas Schropp, Philipp Paetzold |
| 01:59pm |
Standardized Data-Parallel Rendering Using ANARI Ingo Wald, Stefan Zellmann, Jefferson Amstutz, Qi Wu, Kevin Shawn Griffin, Milan Jaroš, Stefan Wesner |
| 02:13pm | Adaptive Multi-Resolution Encoding for Interactive Large-Scale Volume Visualization through Functional Approximation Jianxin Sun, David Lenz, Hongfeng Yu, Tom Peterka |
| 02:27pm | Out-of-Core Dimensionality Reduction for Large Data via Out-of-Sample Extensions Luca Marcel Reichmann, David Hägele, Daniel Weiskopf |
| 02:41pm | Distributed Path Compression for Piecewise Linear Morse-Smale Segmentations and Connected Components Michael Will, Jonas Lukasczyk, Julien Tierny, Christoph Garth |
| 02:55pm | Closing Remarks (Gunther H. Weber) |
Scalable 3D Rendering as a Commodity
Jefferson Amstutz, NVIDIA
Rendering is an essential component of visualizing large 3D data. Over the years there have been a plethora of research innovations that have moved the state-of-the-art in rendering forward, even for dealing with the ever-growing size of data we need to visualize. However, there hasn’t been a compelling way to ensure that future 3D rendering innovations can make it into tools that end-users can leverage. This talk will go through a brief retrospective of how innovations for rendering large data have come-and-gone and propose a way forward for us to better leverage future innovations in production scale 3D rendering for visualization.
Jefferson Amstutz is a Senior Developer Technology Engineer at NVIDIA and the current chair of the Khronos ANARI Working Group. Jeff loves all things programming and ray tracing: code craftsmanship, high performance, and compelling visuals. Prior to joining NVIDIA, Jeff was a Visualization Software Engineer at Intel and a HPC Software Engineer at SURVICE Engineering.