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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Study on a Method of Effective Memory Utilization on GPU Applied for Neighboring Filter on Image Processing
verfasst von : Yoshio Yanagihara, Yuki Minamiura
Erschienen in: Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science
Verlag: Springer Berlin Heidelberg
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In this paper, the methods of implementing neighboring filters on newly supplied Graphics Processing Unit (GPU) are described. In general, neighboring filters are always utilized in image processing. Mainly in consideration of memory accesses, four methods implementing neighboring filtering are proposed and compared. The experimental result shows that one of the proposed methods (called “4X-block”) at the block size of 16 is the fastest among them, when loading and processing data in shared memory in GPU. It is also shown that this method is about 1.45X faster than the basic method implemented on GPU.