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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.
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Garland, M., Grand, S. L., Nickolls, J. R., Anderson, J. A., Hardwick, J., Morton, S., Phillips, E. H., Zhang, Y., & Volkov, V. M. (2008). Parallel Computing Experiences with CUDA. IEEE Micro, 28(4), 13–27. https://doi.org/10.1109/mm.2008.57
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