资料下载
×
CUDA命令行编译器文档
消耗积分:0 |
格式:rar |
大小:758 |
2010-11-12
李建昌
分享资料个
The CUDA Toolkit targets a class of applications whose control part runs as a process on a general purpose computer (Linux, Windows), and which use one or more NVIDIA GPUs as coprocessors for accelerating SIMD parallel jobs. Such jobs are „self- contained‟, in the sense that they can be executed and completed by a batch of GPU threads entirely without intervention by the „host‟ process, thereby gaining optimal benefit from the parallel graphics hardware. Dispatching GPU jobs by the host process is supported by the CUDA Toolkit in the form of remote procedure calling. The GPU code is implemented as a collection of functions in a language that is essentially „C‟, but with some annotations for distinguishing them from the host code, plus annotations for distinguishing different types of data memory that exists on the GPU. Such functions may have parameters, and they can be „called‟ using a syntax that is very similar to regular C function calling, but slightly extended for being able to specify the matrix of GPU threads that must execute the „called‟ function. During its life time, the host process may dispatch many parallel GPU tasks. See Figure 1.
声明：本文内容及配图由入驻作者撰写或者入驻合作网站授权转载。文章观点仅代表作者本人，不代表电子发烧友网立场。文章及其配图仅供工程师学习之用，如有内容侵权或者其他违规问题，请联系本站处理。 举报投诉
评论(0)
发评论
- 相关下载
- 相关文章
