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Parallel Computing Experiences with CUDA
Garland, M.; Le Grand, S.; Nickolls, J.; Anderson, J.; Hardwick, J.; Morton, S.; Phillips, E.; Yao Zhang; Volkov, V.;
Micro, IEEE
Volume 28,
Issue 4,
July-Aug. 2008
Page(s):13
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27
Abstract:
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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