What are the benefits of working with CUDA?
We started looking at parallel computing on GPUs back during the time of Cg (C for Graphics). The subject looked tantalizing: different textures for positions and velocities and we could model the evolution of a particle population in an external field. The results were quite promising, but Cg was not ideal for astrophysical modeling and we were almost going to dismiss the project entirely.
Then, CUDA was released in late 2006. We found programming in CUDA to be quite straight forward for any good C programmer. Our students demonstrated that they could become independent within a semester.
And now, CUDA 4.0 is even better! We utilize the Thrust algorithms library. We leverage Unified Virtual Address (UVA) to extend GPU memory capabilities. The CURAND library replaced our own version of a random number generator. CUDA allows us to fully exploit the performance of our 16 GPU cluster.
Cg 简称 C for Graphics 是一种GPU编程语言，是nvidia公司推出的一种能100%发挥硬件性能的图形编程语言，其性能远远优于OpenGL和Direct3D，用它只需要几行代码就可以轻松的构造一个美丽而又复杂的三维世界，是未来图形编程的主流。作为未来图形编程人员不会CG是不行的!
来自
学习学习！！！！
很好 ！！！！
好东西，顶一下