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

页码：106 / 112

页数：7

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