标题:A GPU accelerated algorithm for compressive sensing based image super-resolution
作者:Wu, Xifei ;Xiang, Hui ;Lu, Peng
通讯作者:Xiang, H
作者机构:[Wu, Xifei ;Xiang, Hui ;Lu, Peng ] School of Computer Science and Technology, Shandong University, Jinan, 250101, China
会议名称:International Workshop on Digital Media and Digital Content Management, DMDCM 2011
会议日期:16 May 2011 through 18 May 2011
来源:Proceedings - Workshop on Digital Media and Digital Content Management, DMDCM 2011
出版年:2011
页码:198-202
DOI:10.1109/DMDCM.2011.10
关键词:Compressive Sensing; GPU; Image Super-resolution; parallel computing
摘要:this paper presents a parallel algorithm designed for Super-resolution Image Reconstruction based on Compressive sensing in the ATI Stream platform. In the accelerating process, we select part of the serial program as the objects to be sped up according to the execution time of each stage, set appropriate parallel granularity to make full use of GPU's computational horsepower, and make a rational use of different kinds of memory space in GPU. At last, the result of the parallel algorithm is shown and analyzed. Compared to the serial algorithm, parallel algorithm has significantly accelerated results. © 2011 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:2
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051807528&doi=10.1109%2fDMDCM.2011.10&partnerID=40&md5=e331d732f7804b525b6c6c47e1c33240
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