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Performance acceleration of neural networks on mobile embedded systems
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dc.contributor.authorJeon, Yongsung-
dc.contributor.authorKim, Chang Sik-
dc.contributor.authorKim, Young Jin-
dc.date.issued2018-03-26-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36279-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048871399&origin=inward-
dc.description.abstractIn this paper, we describe applying techniques for accelerating neural network algorithms on mobile embedded systems. MNIST handwriting artificial neural networks that identify numerical images are accelerated and compared using OpenCL, OpenMP, NEON, and other performance optimization techniques.-
dc.description.sponsorshipThis research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (No. 2015R1A2A2A01008434) and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No.2017-0-01696).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshNeural network algorithm-
dc.subject.meshNumerical images-
dc.subject.meshPerformance acceleration-
dc.subject.meshPerformance optimizations-
dc.titlePerformance acceleration of neural networks on mobile embedded systems-
dc.typeConference-
dc.citation.conferenceDate2018.1.12. ~ 2018.1.14.-
dc.citation.conferenceName2018 IEEE International Conference on Consumer Electronics, ICCE 2018-
dc.citation.edition2018 IEEE International Conference on Consumer Electronics, ICCE 2018-
dc.citation.endPage2-
dc.citation.startPage1-
dc.citation.title2018 IEEE International Conference on Consumer Electronics, ICCE 2018-
dc.citation.volume2018-January-
dc.identifier.bibliographicCitation2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Vol.2018-January, pp.1-2-
dc.identifier.doi10.1109/icce.2018.8326127-
dc.identifier.scopusid2-s2.0-85048871399-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Networks and Communications-
dc.subject.subareaElectrical and Electronic Engineering-
dc.subject.subareaMedia Technology-
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