Abstract

Today's Graphics Processing Units (GPUs), with their massive parallel architectures and tremendous memory bandwidth, are particularly well suited for accelerating image processing. A careful understanding of a GPU's capabilities and available programming methods is needed to take full advantage of its computational power while achieving quick time-to-market and maintaining maximum flexibility.

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