Pif: In-flash acceleration for data-intensive applications

Myungjun Chun, Jaeyong Lee, Sanggu Lee, Myungsuk Kim, Jihong Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationHotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems
PublisherAssociation for Computing Machinery, Inc
Pages106-112
Number of pages7
ISBN (Electronic)9781450393997
DOIs
StatePublished - 27 Jun 2022
Event14th ACM Workshop on Hot Topics in Storage and File Systems, HotStorage 2022 - Virtual, Online, United States
Duration: 27 Jun 202228 Jun 2022

Publication series

NameHotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems

Conference

Conference14th ACM Workshop on Hot Topics in Storage and File Systems, HotStorage 2022
Country/TerritoryUnited States
CityVirtual, Online
Period27/06/2228/06/22

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