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A Study on a Method of Effective Memory Utilization on GPU Applied for Neighboring Filter on Image Processing

  • Yoshio Yanagihara
  • Yuki Minamiura
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 145)

Abstract

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.

Keywords

Graphic Processing Unit Block Size Memory Access Shared Memory Central Processing Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Osaka City UniversityOsakaJapan

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