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Pif: In-flash acceleration for data-intensive applications

Cited 0 time in Web of Science Cited 3 time in Scopus
Authors

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

Issue Date
2022-06
Publisher
Association for Computing Machinery, Inc
Citation
HotStorage 2022 - Proceedings of the 2022 14th ACM Workshop on Hot Topics in Storage and File Systems, pp.106-112
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.
URI
https://hdl.handle.net/10371/184814
DOI
https://doi.org/10.1145/3538643.3539742
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