|Date||Oct. 5, 2007|
|Speaker||David Kirk (NVIDIA)|
|Topic||NVIDIA CUDA Software and GPU Parallel Computing Architecture|
In the past, graphics processors were special purpose hardwired application accelerators, suitable only for conventional rasterization-style graphics applications. Modern GPUs are now fully programmable, massively parallel floating point processors. This talk will describe NVIDIA's massively multithreaded computing architecture and CUDA software for GPU computing. The architecture is a scalable, highly parallel architecture that delivers high throughput for data-intensive processing. Although not truly general-purpose processors, GPUs can now be used for a wide variety of compute-intensive applications beyond graphics.
We thank the generous support of MIT IS&T, CSAIL, and the Department of Mathematics for their support of this series.