2260

NVIDIA CUDA software and gpu parallel computing architecture

David Kirk
NVIDIA, Santa Clara, CA
Proceedings of the 6th international symposium on Memory management, ISMM ’07

@conference{kirknvidia,

   title={Nvidia cuda software and gpu parallel computing architecture},

   author={Kirk, D. and others},

   booktitle={Proc. of the 6th Intl. symposium on Memory management (ISM)},

   pages={103–104}

}

Download Download (PDF)   View View   Source Source   

461

views

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 graphic.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2017 hgpu.org

All rights belong to the respective authors

Contact us: