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ASiPEC: An application specific instruction-set processor for high performance entropy coding

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dc.contributor.authorChoi, Seung-Hyun-
dc.contributor.authorPark, Neungsoo-
dc.contributor.authorSong, Yong Ho-
dc.contributor.authorLee, Seong-Won-
dc.date.accessioned2024-12-20T06:24:06Z-
dc.date.available2024-12-20T06:24:06Z-
dc.date.issued2015-03-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202635-
dc.description.abstractEntropy coding becomes a performance bottle neck in video codecs because it requires a large amount of bitwise computation. Many video systems accelerate the coding process by implementing it as a hardwired accelerator or by executing it on an extra general-purpose processor to meet performance requirement. However, the variety of video formats causes a high degree of complication to a hardwired accelerator, which increases implementation cost and complexity. When an extra processor is used for the coding process, the property of using variable-length operands in the coding process significantly causes computation inefficiency. This paper presents a novel processor architecture which provides an instruction set suitable for efficient execution of entropy coding process as well as supports for multiple video formats.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleASiPEC: An application specific instruction-set processor for high performance entropy coding-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-94-017-9618-7_7-
dc.identifier.scopusid2-s2.0-84924405856-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.331, pp 67 - 75-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume331-
dc.citation.startPage67-
dc.citation.endPage75-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusApplication specific integrated circuits-
dc.subject.keywordPlusBottles-
dc.subject.keywordPlusComplex networks-
dc.subject.keywordPlusComputer architecture-
dc.subject.keywordPlusEmbedded systems-
dc.subject.keywordPlusEntropy-
dc.subject.keywordPlusGeneral purpose computers-
dc.subject.keywordPlusUbiquitous computing-
dc.subject.keywordPlusVideo conferencing-
dc.subject.keywordPlusWireless sensor networks-
dc.subject.keywordPlusApplication specific instruction set processor-
dc.subject.keywordPlusComputation inefficiency-
dc.subject.keywordPlusEntropy coding-
dc.subject.keywordPlusGeneral purpose processors-
dc.subject.keywordPlusImplementation cost-
dc.subject.keywordPlusPerformance requirements-
dc.subject.keywordPlusProcessor architectures-
dc.subject.keywordPlusVideo codecs-
dc.subject.keywordPlusCodes (symbols)-
dc.subject.keywordAuthorApplication specific instruction set processor (ASIP)-
dc.subject.keywordAuthorEntropy coding-
dc.subject.keywordAuthorVideo codec-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007%2F978-94-017-9618-7_7-
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