Jonathan Ragan-Kelley
Most Recent Affiliation(s):
- Massachusetts Institute of Technology
Other Affiliation(s):
- Stanford University
- UC Berkeley
Bio:
SIGGRAPH 2010
Jonathan Ragan-Kelley is a PhD candidate in the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He works with Frédo Durand and Saman Amarasinghe at the intersection of graphics, systems, compilers, and computer architecture. He spent four years building the Lightspeed feature film preview rendering system with Industrial Light & Magic and Tippett Studio, and has worked in GPU architecture and related research at ATI and NVIDIA, and currently at Intel ART. He received his Master’s degree from MIT in 2007, and his Bachelor’s degree in Computer Science from Stanford in 2004 after four years of active research in graphics systems with Pat Hanrahan.
Course Organizer:
Award(s):
Learning Presentation(s):
Type: [Technical Papers]
Learning to optimize halide with tree search and random programs Presenter(s): [Adams] [Ma] [Anderson] [Baghdadi] [Li] [Gharbi] [Steiner] [Johnson] [Fatahalian] [Durand] [Ragan-Kelley]
[SIGGRAPH 2019]
Type: [Technical Papers]
Differentiable programming for image processing and deep learning in halide Presenter(s): [Li] [Gharbi] [Adams] [Durand] [Ragan-Kelley]
Entry No.: [139]
[SIGGRAPH 2018]
Type: [Courses]
Writing Fast Image-Processing Code With Halide Organizer(s): [Ragan-Kelley]
Presenter(s): [Ragan-Kelley] [Adams] [Sharlet] [Durand]
Entry No.: [09]
[SIGGRAPH 2015]
Type: [Courses]
Beyond Programmable Shading I Organizer(s): [Houston]
Presenter(s): [Houston] [Lefohn] [Koduri] [Ragan-Kelley] [Laine] [Pantaleoni] [Sloan] [Pharr]
Entry No.: [10]
[SIGGRAPH 2011]
Role(s):
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