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LZ4m: A fast compression algorithm for in-memory data

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dc.contributor.authorKwon, Se-Junko
dc.contributor.authorKim, Sang-Hoonko
dc.contributor.authorKim, Hyeong-Junko
dc.contributor.authorKim, Jin-Sooko
dc.date.accessioned2023-07-06T09:00:34Z-
dc.date.available2023-07-06T09:00:34Z-
dc.date.created2023-06-08-
dc.date.created2023-06-08-
dc.date.issued2017-01-
dc.identifier.citation2017 IEEE International Conference on Consumer Electronics, ICCE 2017, pp.420 - 423-
dc.identifier.urihttp://hdl.handle.net/10203/310360-
dc.description.abstractCompressing in-memory data is a cost-effective solution for dealing with the memory demand from data-intensive applications. This paper proposes a fast data compression algorithm for in-memory data that improves performance by utilizing the characteristics frequently observed from in-memory data.-
dc.languageEnglish-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleLZ4m: A fast compression algorithm for in-memory data-
dc.typeConference-
dc.identifier.wosid000403392300175-
dc.identifier.scopusid2-s2.0-85018330861-
dc.type.rimsCONF-
dc.citation.beginningpage420-
dc.citation.endingpage423-
dc.citation.publicationname2017 IEEE International Conference on Consumer Electronics, ICCE 2017-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationLas Vegas, NV-
dc.identifier.doi10.1109/ICCE.2017.7889380-
dc.contributor.localauthorKim, Sang-Hoon-
dc.contributor.nonIdAuthorKwon, Se-Jun-
dc.contributor.nonIdAuthorKim, Hyeong-Jun-
dc.contributor.nonIdAuthorKim, Jin-Soo-
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