Scott Grauer-Gray
Research
Publications
Presentations
Teaching/TAing
Pictures
Other work
Links
Contact Info:
- Email: sgrauerg@gmail.com
Research Interests:
- High performance computing and optimization,
particularly on graphics processing units (GPUs) using
CUDA, OpenCL, and directive-based languages
- Applications of high performance computing, specifically as used for financial applications, benchmark suites, and real-time stereo analysis/motion estimation from a pair/sequence of images
Publications:
- S. Grauer-Gray, W. Killian, R. Searles, J. Cavazos. Accelerating Financial Applications on the GPU. In Sixth Workshop on General Purpose Processing Using GPUs (GPGPU 6) 2013.
- Presentation Slides
- Source Code Used For Paper (any work using this code should cite above paper)
- Zhan Yu, Christopher Thorpe, Xuan Yu, Scott Grauer-Gray, Feng Li, and Jingyi Yu. Racking Focus and Tracking Focus on Live Video Streams: A Stereo Solution. In The Visual Computer, February 2013.
- S. Grauer-Gray, L. Xu, R. Searles, S. Ayalasomayajula, J. Cavazos. Auto-tuning a High-Level Language Targeted to GPU Codes. In Proceedings of Innovative Parallel Computing (InPar) 2012. (See IEEE Disclaimer below)
- Presentation Slides
- PolyBench/GPU Benchmark Suite (any work using this code should cite above paper)
- Zhan Yu, Christopher Thorpe, Xuan Yu, Scott Grauer-Gray, Feng Li, and Jingyi Yu. Dynamic Depth-of-Field on Live Video Streams: A Stereo Solution. In Computer Graphics International (CGI) 2011.
- S. Grauer-Gray, J. Cavazos. Optimizing
and Auto-tuning Belief Propagation on the GPU. In
The
23rd International Workshop on Languages and Compilers
for Parallel Computing (LCPC) 2010.
- S. Grauer-Gray, C. Kambhamettu. Hierarchical
Belief Propagation To Reduce Search Space Using CUDA
for Stereo and Motion Estimation. In IEEE
Workshop on Applications of Computer Vision (WACV)
2009. (See IEEE Disclaimer below)
- Presentation Poster
- Project
page
- Link to code (any work using this code should cite above paper)
- S. Grauer-Gray, C. Kambhamettu, K. Palaniappan. GPU
Implementation
of Belief Propagation Using CUDA for Cloud Tracking
and Reconstruction. In 5th IAPR
Workshop on Pattern Recognition in Remote Sensing
(PRRS) 2008. (See IEEE Disclaimer below)
- Presentation Slides
- Project page
- Code
(any work using this code should cite above paper)
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