Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138746
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dc.contributor.authorWang, Tianyien_US
dc.contributor.authorQian, Kemaoen_US
dc.date.accessioned2020-05-12T06:14:02Z-
dc.date.available2020-05-12T06:14:02Z-
dc.date.issued2017-
dc.identifier.citationWang, T., & Qian, K. (2018). Parallel computing in experimental mechanics and optical measurement : a review (II). Optics and Lasers in Engineering, 104, 181-191. doi:10.1016/j.optlaseng.2017.06.002en_US
dc.identifier.issn0143-8166en_US
dc.identifier.urihttps://hdl.handle.net/10356/138746-
dc.description.abstractWith advantages such as non-destructiveness, high sensitivity and high accuracy, optical techniques have successfully integrated into various important physical quantities in experimental mechanics (EM) and optical measurement (OM). However, in pursuit of higher image resolutions for higher accuracy, the computation burden of optical techniques has become much heavier. Therefore, in recent years, heterogeneous platforms composing of hardware such as CPUs and GPUs, have been widely employed to accelerate these techniques due to their cost-effectiveness, short development cycle, easy portability, and high scalability. In this paper, we analyze various works by first illustrating their different architectures, followed by introducing their various parallel patterns for high speed computation. Next, we review the effects of CPU and GPU parallel computing specifically in EM & OM applications in a broad scope, which include digital image/volume correlation, fringe pattern analysis, tomography, hyperspectral imaging, computer-generated holograms, and integral imaging. In our survey, we have found that high parallelism can always be exploited in such applications for the development of high-performance systems.en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofOptics and Lasers in Engineeringen_US
dc.rights© 2017 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleParallel computing in experimental mechanics and optical measurement : a review (II)en_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1016/j.optlaseng.2017.06.002-
dc.identifier.scopus2-s2.0-85020122206-
dc.identifier.volume104en_US
dc.identifier.spage181en_US
dc.identifier.epage191en_US
dc.subject.keywordsParallel Computingen_US
dc.subject.keywordsCPUen_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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