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Ingo Wald
Email: ingowald-at-gmail.com
LinkedIn: https://www.linkedin.com/in/ingo-wald-3182496
Google Scholar: http://scholar.google.com/citations?user=HsZvWv0AAAAJ

Note: I am no longer with the University of Utah. I'm still living in Utah, and still occasionally work with some of the people there, but I am no longer a full-time professor there, and thus cannot advice/take on any students.

Photo

News

Aug 2019
"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.
Aug 2018
I moved over to join NVidia.
More info on my blog: http://ingowald.blog.

Key Papers...

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 Paul Navratil.
IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization 2016). Volume 23, issue 1, 2017.

Research interests

  • 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 volume/isosurface data)
  • Interactive Visualization of Massively Complex (and potentially time-varying) data sets)
  • Hierarchical Index Structures and Efficient Traversal Algorithms

Education / Mini-CV

2018-today Director, Ray Tracing, NVIDIA
2007-2018 Research Scientist (eventually: Principal Engineer), Intel Labs, Intel Corp
2006-2007 Research Assistant Professor, University of Utah, Salt Lake City
2005-2006 Visiting Assistant Professor, University of Utah, Salt Lake City
2004-2005 Research Associate (Post-Doc), Max Planck Institut Informatik in Saarbruecken
May 2004 PhD in Computer Science (Dr.-ing), Computer Graphics Group, Saarland University
2000-2004 Research Assistant, Computer Graphics Group, Saarland University
1993-1999 Diplom Informatik (Master of Computer Science equivalent), University of Kaiserslautern

Links


Scientific Computing and Imaging Institute (SCI)
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This web page is maintained by Ingo Wald.
Document last modified on 2/2/19 .