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

Two more researchers have been added to the ranks of nine existing CUDA Fellows, who are recognized by NVIDIA for their contributions to the areas of CUDA architecture and parallel computing.

NVIDIA today announced that LLVM, one of the industry's most popular open source compilers, now supports NVIDIA GPUs, dramatically expanding the range of researchers, independent software vendors (ISVs) and programming languages that can take advantage of the benefits of GPU acceleration. 

Today, we added four outstanding research and academic leaders to the CUDA Fellows Program, which recognizes individuals committed to championing the adoption and use of the CUDA architecture and GPU computing.

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