基于深度神经网络的智能计算数据感知NAND闪存

K. Takeuchi
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引用次数: 3

摘要

提出了一种用于智能计算的数据感知型NAND闪存。通过识别存储在NAND闪存中的数据的“价值”,实现了将重要数据存储在可靠性更高的存储单元中或根据每个存储单元的应力自适应优化读取参考电压等复杂的数据管理。从而实现了深度神经网络图像识别[1]、数据压缩[2]、数据中心存储[3]、分解混合存储[4,5]等智能计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-aware NAND flash memory for intelligent computing with deep neural network
This paper presents the data-aware NAND flash memories for intelligent computing. By recognizing the “value” of data stored in NAND flash, sophisticated data management such as storing important data in the higher reliable memory cell or adaptively optimizing the read reference voltage depending on the stress of each memory cell are realized. As a result, intelligent computing such as image recognition with deep neural network [1], data compression [2], data center storage [3] and disaggregated hybrid storage [4,5] are achieved.
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