Ian Buck has not yet submitted an abstract. His talk will focus on the Nvidia CUDA architecture, which the following paragraphs describe.
GPU computing with CUDA is a new approach to computing where hundreds of on-chip processor cores simultaneously communicate and cooperate to solve complex computing problems up to 100 times faster than traditional approaches. This breakthrough architecture is complemented by another first: the NVIDIA C-compiler for the GPU. This complete development environment gives developers the tools they need to solve new problems in computation-intensive applications such as product design, data analysis, technical computing, and game physics. CUDA-enabled GPUs offer dedicated features for computing, including the Parallel Data Cache, which allows 128, 1.35GHz processor cores in newest generation NVIDIA GPUs to cooperate with each other while performing intricate computations. Developers access these new features through a separate computing driver that communicates with DirectX and OpenGL, and the new NVIDIA C compiler for the GPU, which obsoletes streaming languages for GPU computing."
CUDA website: http://www.nvidia.com/cuda
Slides:
There are no downloadable slides currently available for this talk.
About the speaker:
I have completed my Ph.D. at Stanford and currently work at NVIDIA
Contact information:
Ian Buck
Nvidia Corporation
2701 San Tomas Expressway
Santa Clara, CA 95050
408-486-2000
ianbuck@nvidia.com