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Master-Slave based test cost reduction method for DNN Accelerators

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dc.contributor.authorSolangi, Umair Saeed-
dc.contributor.authorIbtesam, Muhammad-
dc.contributor.authorPark, Sungju-
dc.date.accessioned2023-08-16T08:31:09Z-
dc.date.available2023-08-16T08:31:09Z-
dc.date.issued2021-11-
dc.identifier.issn1349-2543-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114307-
dc.description.abstractTo achieve reduction in test time of accelerators, broadcasting of test patterns is used for simultaneous testing of processing elements (PEs). However, number of PEs tested simultaneously is limited because of scan shift power constraint. In this letter, a Master-Slave based test pattern application method is proposed that alleviates this scan shift power constraint. PEs are grouped in Subcores, the tester loads the pattern into Master PE of Subcores. From Master, test patterns are loaded into adjacent Slave PEs of Subcore. By limiting scan shift power to one Master PE per Subcore, more PEs are allowed to be tested simultaneously. © 2021 The Institute of Electronics.-
dc.language영어-
dc.language.isoENG-
dc.publisherThe Institute of Electronics, Information and Communication Engineers (IEICE)-
dc.titleMaster-Slave based test cost reduction method for DNN Accelerators-
dc.typeArticle-
dc.publisher.location일본-
dc.identifier.doi10.1587/elex.18.20210425-
dc.identifier.scopusid2-s2.0-85122942390-
dc.identifier.wosid000721562700001-
dc.identifier.bibliographicCitationIEICE Electronics Express, v.18, no.24, pp 1 - 5-
dc.citation.titleIEICE Electronics Express-
dc.citation.volume18-
dc.citation.number24-
dc.citation.startPage1-
dc.citation.endPage5-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusDEEP NEURAL-NETWORKS-
dc.subject.keywordAuthorArtificial intelligence (AI) accelerators-
dc.subject.keywordAuthorDesign for testability-
dc.subject.keywordAuthorFault localization-
dc.subject.keywordAuthorScan test-
dc.subject.keywordAuthorTestability-
dc.identifier.urlhttps://www.jstage.jst.go.jp/article/elex/18/24/18_18.20210425/_article-
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