PiF: In-Flash Acceleration for Data-Intensive Applications

被引：4
|
作者：
Chun, Myungjun [1 ]
Lee, Jaeyong [1 ]
Lee, Sanggu [1 ]
Kim, Myungsuk [2 ]
Kim, Jihong [1 ]
机构：
[1] Seoul Natl Univ, Seoul, South Korea
[2] Kyungpook Natl Univ, Daegu, South Korea
来源：
PROCEEDINGS OF THE 2022 14TH ACM WORKSHOP ON HOT TOPICS IN STORAGE AND FILE SYSTEMS, HOTSTORAGE 2022 | 2022年
基金：
新加坡国家研究基金会;
关键词：
D O I：
10.1145/3538643.3539742
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：106 / 112
页数：7
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