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K-means Clustering-specific Lightweight RISC-V processor

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dc.contributor.authorLee, W.-
dc.contributor.authorPark, J.-
dc.contributor.authorByun, C.-
dc.contributor.authorChoi, E.-
dc.contributor.authorLee, J.-H.-
dc.contributor.authorLee, W.-
dc.contributor.authorByun, K.J.-
dc.contributor.authorHan, K.-
dc.date.accessioned2023-03-08T10:13:22Z-
dc.date.available2023-03-08T10:13:22Z-
dc.date.issued2021-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/62138-
dc.description.abstractWhile the demand for edge devices performing K-means clustering algorithm is expected to explode, this paper introduces a K-means clustering-specific processor for edge devices. The processor consists of hardware to accelerate the K-means algorithm and lightweight RISC-V core, and functional validation has been completed through RTL simulation and FPGA prototyping. The processor prototype demonstrates its excellence by performing the K-means algorithm about 56 times faster. © 2021 IEEE.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleK-means Clustering-specific Lightweight RISC-V processor-
dc.typeArticle-
dc.identifier.doi10.1109/ISOCC53507.2021.9613863-
dc.identifier.bibliographicCitationProceedings - International SoC Design Conference 2021, ISOCC 2021, pp 391 - 392-
dc.description.isOpenAccessN-
dc.identifier.wosid000861550500166-
dc.identifier.scopusid2-s2.0-85123386114-
dc.citation.endPage392-
dc.citation.startPage391-
dc.citation.titleProceedings - International SoC Design Conference 2021, ISOCC 2021-
dc.type.docTypeProceedings Paper-
dc.subject.keywordAuthoracclerator-
dc.subject.keywordAuthorK-means clustering-
dc.subject.keywordAuthorRISC-V processor-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscopus-
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