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dc.contributor.author박성주-
dc.date.accessioned2022-04-10T23:53:30Z-
dc.date.available2022-04-10T23:53:30Z-
dc.date.issued2021-11-
dc.identifier.citationIEICE ELECTRONICS EXPRESS; NOV 15 2021, 5p.en_US
dc.identifier.issn13492543-
dc.identifier.urihttps://www.jstage.jst.go.jp/article/elex/18/24/18_18.20210451/_article-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/169836-
dc.description.abstractLogic BIST is a safety mechanism, which performs testing for Automotive electronics. However, pseudorandom LBIST patterns results in increased test time and test power. In this letter, a novel time multiplexed LBIST is presented to overcome test related problems of AI accelerators. First, the accelerator array is divided into smaller sub arrays, which are tested on time multiplexed clock cycles. This: 1) improves overall test time, under the given test power limit, 2) allows reduction in shift power, under given test time limits and 3) since only one sub array is clocked at a time, the peak power is reduced.en_US
dc.description.sponsorshipThis work was supported in part by the Higher Education Commission, Govt. of Pakistan, under the scholarship program titled “Faculty Development of UESTPs/UETs”. This research was also supported by the BK21 FOUR (Fostering Outstanding Universities for Research) funded by the Ministry of Education (MOE, Korea) and National Research Foundation of Korea (NRF).en_US
dc.language.isoenen_US
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENGen_US
dc.subjectArtificial Intelligence (AI) acceleratorsen_US
dc.subjectAutomotivesen_US
dc.subjectbuilt-in self-test (BIST)en_US
dc.subjecttesten_US
dc.subjecttime multiplexeden_US
dc.titleTime Multiplexed LBIST for in-field testing of Automotives AI Acceleratorsen_US
dc.typeArticleen_US
dc.identifier.doi10.1587/elex.18.20210451-
dc.relation.page96700-96704-
dc.relation.journalIEICE ELECTRONICS EXPRESS-
dc.contributor.googleauthorSolangi, Umair Saeed-
dc.contributor.googleauthorIbtesam, Muhammad-
dc.contributor.googleauthorPark, Sungju-
dc.relation.code2021001322-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentSCHOOL OF COMPUTER SCIENCE-
dc.identifier.pidpaksj-
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