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Combining high productivity and high performance in image processing using Single Assignment C

dc.contributor.authorWieser, V.
dc.contributor.authorMoser, B.
dc.contributor.authorScholz, S.-B.
dc.contributor.authorHerhut, S.
dc.contributor.authorGuo, J.
dc.date.accessioned2011-11-01T16:01:14Z
dc.date.available2011-11-01T16:01:14Z
dc.date.issued2011-01-01
dc.identifier.citationWieser , V , Moser , B , Scholz , S-B , Herhut , S & Guo , J 2011 , Combining high productivity and high performance in image processing using Single Assignment C . in Proceedings of SPIE - The International Society for Optical Engineering . vol. 80000A , International Society for Optical Engineering , Tenth International Conference on Quality Control by Artificial Vision , Saint-Etienne , France , 28/06/11 . https://doi.org/10.1117/12.890920
dc.identifier.citationconference
dc.identifier.isbn978-081948573-1
dc.identifier.otherPURE: 436295
dc.identifier.otherPURE UUID: d706bae9-ff88-45c5-95a9-2dde9eb857f1
dc.identifier.otherScopus: 80052252502
dc.identifier.urihttp://hdl.handle.net/2299/6862
dc.descriptionOriginal paper can be found at: http://spiedigitallibrary.org/ Copyright International Society for Optical Engineering [Full text of this article is not available in the UHRA]
dc.description.abstractIn this paper the problem of high performance software engineering is addressed in the context of image processing regarding productivity and optimized exploitation of hardware resources. Therefore, we introduce the functional array processing language Single Assignment C (SaC), which relies on a hardware virtualization concept for automated, parallel machine code generation. An illustrative benchmarking example proves both utility and adequacy of SaC for image processing.en
dc.language.isoeng
dc.publisherInternational Society for Optical Engineering
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineering
dc.subjectanisotropic diffusion
dc.subjectfunctional programming
dc.subjecthardware virtualization
dc.subjectparallel programming
dc.titleCombining high productivity and high performance in image processing using Single Assignment Cen
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=80052252502&partnerID=8YFLogxK
rioxxterms.versionofrecordhttps://doi.org/10.1117/12.890920
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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