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A survey of approximate arithmetic circuits and blocks

dc.contributor.authorChen, Ke
dc.contributor.authorYin, Peipei
dc.contributor.authorLiu, Weiqiang
dc.contributor.authorLombardi, Fabrizio
dc.date.accessioned2022-11-22T09:53:17Z
dc.date.available2022-11-22T09:53:17Z
dc.date.issued2022
dc.description.abstractApproximate computing has become an emerging research topic for energy-efficient design of circuits and systems. Many approximate arithmetic circuits have been proposed, therefore it is critical to summarize the available approximation techniques to improve performance and energy efficiency at a acceptable accuracy loss. This paper presents an overview of circuit-level techniques used for approximate arithmetic. This paper provides a detailed review of circuit-level approximation techniques for the arithmetic data path. Its focus is on identifying critical circuit-level approximation techniques that apply to computational units and blocks. Approximate adders, multipliers, dividers, and squarer are introduced and classified according to their approximation methods. FFT and MAC are discussed as computational blocks that employ an approximate algorithm for implementation.en
dc.identifier.doi10.1515/itit-2021-0055
dc.identifier.pissn2196-7032
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39757
dc.language.isoen
dc.publisherDe Gruyter
dc.relation.ispartofit - Information Technology: Vol. 64, No. 3
dc.subjectApproximate Arithmetic Circuit
dc.subjectAdders
dc.subjectMultipliers
dc.subjectDividers
dc.subjectSquarer
dc.subjectFFT
dc.subjectMAC
dc.titleA survey of approximate arithmetic circuits and blocksen
dc.typeText/Journal Article
gi.citation.endPage87
gi.citation.publisherPlaceBerlin
gi.citation.startPage79
gi.conference.sessiontitleArticle

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