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Pif: In-flash acceleration for data-intensive applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chun, Myungjun | - |
dc.contributor.author | Lee, Jaeyong | - |
dc.contributor.author | Lee, Sanggu | - |
dc.contributor.author | Kim, Myungsuk | - |
dc.contributor.author | Kim, Jihong | - |
dc.date.accessioned | 2022-09-30T05:49:21Z | - |
dc.date.available | 2022-09-30T05:49:21Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2022-06 | - |
dc.identifier.citation | HotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems, pp.106-112 | - |
dc.identifier.uri | https://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.language | 영어 | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.title | Pif: In-flash acceleration for data-intensive applications | - |
dc.type | Article | - |
dc.identifier.doi | 10.1145/3538643.3539742 | - |
dc.citation.journaltitle | HotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems | - |
dc.identifier.scopusid | 2-s2.0-85134187678 | - |
dc.citation.endpage | 112 | - |
dc.citation.startpage | 106 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Lee, Sanggu | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
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