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Pif: In-flash acceleration for data-intensive applications

DC Field Value Language
dc.contributor.authorChun, Myungjun-
dc.contributor.authorLee, Jaeyong-
dc.contributor.authorLee, Sanggu-
dc.contributor.authorKim, Myungsuk-
dc.contributor.authorKim, Jihong-
dc.date.accessioned2022-09-30T05:49:21Z-
dc.date.available2022-09-30T05:49:21Z-
dc.date.created2022-08-26-
dc.date.issued2022-06-
dc.identifier.citationHotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems, pp.106-112-
dc.identifier.urihttps://hdl.handle.net/10371/184814-
dc.description.abstract© 2022 ACM.To minimize unnecessary data movements from storage to a host, processing-in-storage (PiS) techniques, which move a compute unit to storage, have been proposed. In this position paper, we propose an extreme version of PiS solutions, called a processing-in-flash (PiF) scheme, that moves computation inside flash chips where data are physically present. As a key building block of a PiF solution, we present a novel flash chip architecture, CoX. Using a prototype PiF SSD based on CoX chips, we demonstrate that PiF-based SSDs are promising in accelerating data-intensive applications.-
dc.language영어-
dc.publisherAssociation for Computing Machinery, Inc-
dc.titlePif: In-flash acceleration for data-intensive applications-
dc.typeArticle-
dc.identifier.doi10.1145/3538643.3539742-
dc.citation.journaltitleHotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems-
dc.identifier.scopusid2-s2.0-85134187678-
dc.citation.endpage112-
dc.citation.startpage106-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorLee, Sanggu-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
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