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Reports on science findings from Chinese University of Hong Kong provide new insights
January 12th, 2010
According to recent research from Hong Kong, People's Republic of China, "An efficient GPU-based sorting algorithm is proposed in this paper together with a merging method on graphics devices. The proposed sorting algorithm is optimized for modern GPU architecture with the capability of sorting elements represented by integers, floats and structures, while the new merging method gives a way to merge two ordered lists efficiently on GPU without using the slow atomic functions and uncoalesced memory read."
"Adaptive strategies are used for sorting disorderly or nearly-sorted lists, large or small lists. The current implementation is on NVIDIA CUDA with multi-GPUs support,...
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Source: VerticalNews Mathematics (2010-01-12)