PiF:用于数据密集型应用程序的flash加速

Myoungjun Chun, Jae Yong Lee, Sanggu Lee, Myungsuk Kim, Jihong Kim
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引用次数: 1

摘要

为了尽量减少不必要的数据从存储到主机的移动,已经提出了将计算单元移动到存储的存储中处理(PiS)技术。在这篇意见书中,我们提出了一种极端版本的PiS解决方案,称为闪存处理(PiF)方案,该方案将计算移动到物理上存在数据的闪存芯片中。作为PiF解决方案的关键组成部分,我们提出了一种新颖的闪存芯片架构CoX。通过使用基于CoX芯片的PiF固态硬盘原型,我们证明了基于PiF的固态硬盘在加速数据密集型应用方面是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PiF: in-flash acceleration for data-intensive applications
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.
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