2954

Many-core GPU computing with NVIDIA CUDA

Mark Harris
NVIDIA, Santa Clara, CA, USA
Proceedings of the 22nd annual international conference on Supercomputing, ICS ’08

@conference{harris2008many,

   title={Many-core GPU computing with NVIDIA CUDA},

   author={Harris, M.},

   booktitle={Proceedings of the 22nd annual international conference on Supercomputing},

   pages={1},

   year={2008},

   organization={ACM}

}

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In the past, graphics processors were special-purpose hardwired application accelerators, suitable only for conventional graphics applications. Modern GPUs are fully programmable, massively parallel floating point processors. In this talk I will describe NVIDIA’s scalable, highly parallel many-core GPU architecture and how CUDA software for GPU computing delivers high throughput for data-intensive processing. I will discuss how CUDA is reinvigorating research on data-parallel algorithms, reducing time to scientific discovery, and enabling a variety of compute-intensive industrial applications of GPUs beyond computer graphics.
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