ISCAS OpenIR
基于OpenCL的均值平移算法在多个众核平台的性能优化研究
Alternative Titleresearch on mean shift algorithm using opencl on multiple many-core platforms
庞旭; 张云泉; 龙国平; 贾海鹏; 颜深根
2013
Source计算机科学
ISSN1002-137X
Volume40Issue:3Pages:79-85,110
English AbstractOpenCL作为一种面向多种平台、通用目的的编程标准,已经对许多应用程序进行了加速。由于平台硬件和软件环境的差异,通用的优化方法不一定在所有平台都有很好的加速。通过对均值平移算法在GPU和APU平台的优化,探讨了不同平台各种优化方法的贡献力,一方面研究各个平台的计算特性,另一方面体会不同优化方法的优劣,在优劣的相互转化中寻求最优的解决方案。实验表明,算法并行优化前、后在AMD 5850、Tesla C2050和APU A6-3650上分别达到了9.68、5.74和1.27倍加速,并行相比串行程序达到79.73、93.88和2.22倍加速,前两个平台OpenCL版本相比,CUDA版本的OpenCV程序达到1.27和1.24倍加速。
Indexed TypeCNKI ; WANFANG ; CSCD
AbstractAs a general-purpose programming standard for multiple platforms, OpenCL has accelerated many applications. Due to the differences of different platforms in hardware and software environments, general optimization methods may not accelerate the application well for all. Taking the optimization of the mean shift algorithm on GPU and APU platforms as an example, the paper provided several insights on contributions of various optimization methods on different platforms. On one hand, we explored the architectures of different platforms. On the other hand, we compared the pros and cons of different optimization methods. Based on meticulous evaluations of the pros and cons,we looked for the optimal solution. Experimental results show that, on AMD 5850, Tesla C2050 and APU A6-3650 platforms, the optimized algorithm achieves 9.68*,5.74* and 1.27* speedups, respectively, and 79.73*, 93.88* and 2.22* speedups compared to the serial version, respectively, and 1.27* and 1.24* speedups compared to the CUDA version OpenCV program for the first two platforms, respectively.
KeywordGpu Apu Opencl 均值平移算法
Department中国科学院软件研究所并行软件与计算科学实验室;中国科学院大学;中国科学院软件研究所计算机科学国家重点实验室;中国海洋大学信息科学与工程学院;
SubjectComputer Science (Provided By Thomson Reuters)
Sponsorship国家自然科学基金项目(60303020,60533020),国家自然科学基金重点项目(60503020),国家自然科学基金青年基金项目(61100072)|国家“863”计划基金资助项目(2012AA010902)|ISCAS-AMD联合fusion软件中心资助
Language中文
CSCD IDCSCD:4778288
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/15557
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
庞旭,张云泉,龙国平,等. 基于OpenCL的均值平移算法在多个众核平台的性能优化研究[J]. 计算机科学,2013,40(3):79-85,110.
APA 庞旭,张云泉,龙国平,贾海鹏,&颜深根.(2013).基于OpenCL的均值平移算法在多个众核平台的性能优化研究.计算机科学,40(3),79-85,110.
MLA 庞旭,et al."基于OpenCL的均值平移算法在多个众核平台的性能优化研究".计算机科学 40.3(2013):79-85,110.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[庞旭]'s Articles
[张云泉]'s Articles
[龙国平]'s Articles
Baidu academic
Similar articles in Baidu academic
[庞旭]'s Articles
[张云泉]'s Articles
[龙国平]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[庞旭]'s Articles
[张云泉]'s Articles
[龙国平]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.