Efficient optimization approach for fast GPU computation of Zernike moments

doi:10.1016/j.jpdc.2017.07.008

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	Efficient optimization approach for fast GPU computation of Zernike moments
	Xuan, Y. B.; Li, D. Y.; Han, W.
	2018
发表期刊	Journal of Parallel and Distributed Computing
ISSN	0743-7315
卷号	111 页码:104-114
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.
关键词	Zernike moments GPU Reordering image pixels Addressing diagonal in advance recognition algorithm features face Computer Science
DOI	10.1016/j.jpdc.2017.07.008
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	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
推荐引用方式 GB/T 7714	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.

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