Parallel Computing Experiences with CUDA
Michael J. Garland, Scott Le Grand, John R. Nickolls, Joshua A. Anderson, Jim Hardwick, Scott Morton, Everett H. Phillips, Yao Zhang, Vasily M. Volkov · IEEE Micro · 2008
The CUDA programming model provides a straightforward means of describing inherently parallel computations, and NVIDIA's Tesla GPU architecture delivers high computational throughput on massively parallel problems. This article surveys experiences gained in applying CUDA to a diverse set of problems and the parallel speedups over sequential codes running on traditional CPU architectures attained by executing key computations on the GPU.