Accelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Study

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dc.citation.conferenceDate2013en_US
dc.citation.conferenceNameIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)en_US
dc.citation.firstpage2629en_US
dc.citation.lastpage2633en_US
dc.citation.locationVancouver, Canadaen_US
dc.contributor.authorWang, Guohuien_US
dc.contributor.authorXiong, Y.en_US
dc.contributor.authorYun, Jayen_US
dc.contributor.authorCavallaro, Joseph R.en_US
dc.date.accessioned2013-10-25T21:20:01Zen_US
dc.date.available2013-10-25T21:20:01Zen_US
dc.date.issued2013-06en_US
dc.description.abstractRecently, general-purpose computing on graphics processing units (GPGPU) has been enabled on mobile devices thanks to the emerging heterogeneous programming models such as OpenCL. The capability of GPGPU on mobile devices opens a new era for mobile computing and can enable many computationally demanding computer vision algorithms on mobile devices. As a case study, this paper proposes to accelerate an exemplar-based inpainting algorithm for object removal on a mobile GPU using OpenCL. We discuss the methodology of exploring the parallelism in the algorithm as well as several optimization techniques. Experimental results demonstrate that our optimization strategies for mobile GPUs have significantly reduced the processing time and make computationally intensive computer vision algorithms feasible for a mobile device. To the best of the authors’ knowledge, this work is the first published implementation of general-purpose computing using OpenCL on mobile GPUs.en_US
dc.description.sponsorshipUS National Science Foundation grant CNS-1265332en_US
dc.description.sponsorshipUS National Science Foundation grant ECCS-1232274en_US
dc.description.sponsorshipUS National Science Foundation grant EECS- 0925942en_US
dc.description.sponsorshipUS National Science Foundation grant CNS-0923479en_US
dc.identifier.citationG. Wang, Y. Xiong, J. Yun and J. R. Cavallaro, "Accelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Study," 2013.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICASSP.2013.6638132en_US
dc.identifier.urihttps://hdl.handle.net/1911/75009en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.subjectGPGPUen_US
dc.subjectmobile SoCen_US
dc.subjectcomputer vision implementationen_US
dc.subjectCPU-GPU algorithm partitioningen_US
dc.subjectparallel architecturesen_US
dc.titleAccelerating Computer Vision Algorithms Using OpenCL Framework on Mobile Devices - A Case Studyen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
dc.type.dcmiTexten_US
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