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Performance Analysis of ARM big.LITTLE Architecture-Based Mobile Processor with Multi-Thread Face Detection

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dc.authorscopusid56294787600
dc.authorscopusid57212214837
dc.contributor.authorAslan, Selcuk
dc.contributor.authorIleri, S.C.
dc.date.accessioned2020-06-21T09:05:25Z
dc.date.available2020-06-21T09:05:25Z
dc.date.issued2019
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aslan] Selcuk, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Ileri] Serhat Celil, Bilgisayar Mühendisliǧi Bölümü, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractBecause of the power consumption properties of the heterogeneous processors, they have also started to be used with the high level mobile devices. However, working characteristics of the heterogeneous architectures equipped with different core clusters can not be easily guessed when more than one cores are activated. In this study, the multi-core performance of an ARM big.LITTLE architecture based mobile processor was investigated by solving face detection problem. The results of the experimental studies showed that fluctuations of the average core frequency are limited when the number of utilized cores is less than the number of cores in the selected cluster. In addition to this, it was concluded that the total required time for completion of the execution decreases when the number of utilized cores exceeds the number of cores in the selected cluster but fluctuations of the average core frequency are on the increasing trend. © 2019 IEEE.en_US
dc.identifier.doi10.1109/UBMK.2019.8907058
dc.identifier.endpage339en_US
dc.identifier.isbn9781728139647
dc.identifier.scopus2-s2.0-85076207798
dc.identifier.startpage336en_US
dc.identifier.urihttps://doi.org/10.1109/UBMK.2019.8907058
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 4th International Conference on Computer Science and Engineering, UBMK 2019 -- 2019-09-11 through 2019-09-15 -- Samsun -- 154916en_US
dc.relation.journalUBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFace Detectionen_US
dc.subjectHeterogeneous Architectureen_US
dc.subjectMobile Processoren_US
dc.titlePerformance Analysis of ARM big.LITTLE Architecture-Based Mobile Processor with Multi-Thread Face Detectionen_US
dc.title.alternativeARM big.LITTLE Mimarili Mobil İşlemci Performansının Çok İzlekli Yüz Tespiti ile Analizien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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