Research
NVIDIA Research



NVIDIA Research explores challenging topics on the frontiers of visual, parallel, and mobile computing. Our current work spans many domains including computer graphics, physical simulation, scientific computing, computational photography, programming languages, circuit design, and computer architecture. We support advances in these fields through collaboration with academic and industrial research institutions, and disseminate results in technical conferences, journals, and other academic venues.

Latest News

The NVIDIA Graduate Fellowship Program provides funding in the amount of $25,000 per award to Ph.D. students who are researching topics that will lead to major advances in the graphics and high-performance computing industries, and are investigating innovative ways of leveraging the power of the GPUBlog Announcement
 

CUDA Fellow Program welcomes three new research and academic leaders to the family of CUDA architecture and parallel computing experts. These CUDA Fellows have demonstrated the benefits of GPU computing to advance their fields of research and have been instrumental in introducing GPU computing to their peers.

Researchers from the University of Illinois at Urbana-Champaign snagged the Third Annual Achievement Award for CUDA Centers of Excellence (CCOE), for their research with Fighting HIV with CUDA. The CCOE Achievement Presentations will be posted on the GTC website. Blog Announcement
 
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