- "RTX Accelerated Ray Tracing with OptiX" SIGGRAPH course
- Course was well attended, and went pretty well. The
OptiX 7 tutorial code I wrote for this paper is now
available as a public gitlab repo
on http://gitlab.com/ingowald/optix7course. PDF
of presented slides soon to be uploaded
to my blog, too.
- RTX Space Skipping/Adaptive Sampling paper preprint online.
- Our "Efficient Space Skipping and Adaptive
Sampling of Unstructured Volumes Using Hardware Accelerated Ray Tracing" paper just got accepted to the short paper track at IEEE Vis 2019.
Author's copy now available on my the publications page.
- "RTX Beyond Ray Tracing" Paper now online
- PDF on this paper on my the
publications page. PDF of presented slides soon to be uploaded to my blog, too.
- I moved over to join NVidia.
- More info on my blog:
Assuming you visited this page primarily for the paper
links: please have a look at
my complete publications page
(most recent papers on top). For quick reference, here the probably two
most important ones:
Embree - A Kernel Framework for Efficient CPU Ray Tracing
Ingo Wald, Sven Woop, Carsten Benthin, Gregory S Johnson, and Manfred Ernst
ACM Transactions on Graphics (proceedings of ACM SIGGRAPH) 2014
OSPRay - A CPU Ray Tracing
Framework for Scientific Visualization.
Ingo Wald, Gregory P Johnson, Jefferson Amstutz, Carson
Brownlee, Aaron Knoll, Jim Jeffers, Johannes Guenther, and
IEEE Transactions on Visualization and Computer Graphics
(Proceedings of IEEE Visualization 2016). Volume 23, issue
- Ray Tracing
- High-performance graphics and Visual Computing
using architectures such as Intel Many-Integrated
Core (MIC) / Intel Xeon Phi architectures.
- Programming Models and Compilers for High-Performance Computing
- Photorealistic Image Synthesis and Physically-correct Lighting Simulation
- Interactive Global Illumination
- Scientific Visualization and High-performance Computing
- Parallel and Distributed Computing (in
particular on PC clusters and high-throughput
computing platforms like Larrabee)
- Multiresolution methods (in particular for point-based and
- Interactive Visualization of Massively Complex (and potentially
time-varying) data sets)
- Hierarchical Index Structures and Efficient Traversal Algorithms
Education / Mini-CV
||Director, Ray Tracing, NVIDIA
||Research Scientist (eventually: Principal Engineer), Intel Labs, Intel Corp
||Research Assistant Professor, University of Utah, Salt Lake City
||Visiting Assistant Professor, University of Utah, Salt Lake City
||Research Associate (Post-Doc), Max Planck Institut Informatik in Saarbruecken
||PhD in Computer Science (Dr.-ing), Computer Graphics Group, Saarland University
||Research Assistant, Computer Graphics Group, Saarland University
||Diplom Informatik (Master of Computer Science equivalent), University of Kaiserslautern
Computing and Imaging Institute (SCI)
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Document last modified on 2/2/19