NVIDIA CUDA software and gpu parallel computing architecture
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}
}
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.
December 28, 2010 by hgpu
