中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Efficient optimization approach for fast GPU computation of Zernike moments

文献类型:期刊论文

作者Xuan, Y. B.; Li, D. Y.; Han, W.
刊名Journal of Parallel and Distributed Computing
出版日期2018
卷号111页码:104-114
关键词Zernike moments GPU Reordering image pixels Addressing diagonal in advance recognition algorithm features face Computer Science
ISSN号0743-7315
DOI10.1016/j.jpdc.2017.07.008
英文摘要Our study focuses on accelerating the computation of Zernike moments on graphics processing units (GPUs). There are two ideas to achieve the goal. First is to implement a novel re-layout that involves reordering the image pixels and addressing the diagonal pixels in advance, so that computations of all pixels are allocated to an octant effectively. Second is to the leverage the constant memory to store precomputed values used across GPU threads. An in-depth study has been carried out to evaluate the performance in each case and to compare against GPU implementation of other algorithms and to discuss the bottleneck. The result shows that our approach is effective and achieves significant performance improvement compared to other GPU state-of-the-art implementations. Furthermore, our approach is suited for allocating the data flow into multiple GPUs. (C) 2017 Elsevier Inc. All rights reserved.
源URL[http://ir.ciomp.ac.cn/handle/181722/60971]  
专题中国科学院长春光学精密机械与物理研究所
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Xuan, Y. B.,Li, D. Y.,Han, W.. Efficient optimization approach for fast GPU computation of Zernike moments[J]. Journal of Parallel and Distributed Computing,2018,111:104-114.
APA Xuan, Y. B.,Li, D. Y.,&Han, W..(2018).Efficient optimization approach for fast GPU computation of Zernike moments.Journal of Parallel and Distributed Computing,111,104-114.
MLA Xuan, Y. B.,et al."Efficient optimization approach for fast GPU computation of Zernike moments".Journal of Parallel and Distributed Computing 111(2018):104-114.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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