Heterogeneous hybrid memory data processing method and system based on DRAM and NVM and storage medium

The invention discloses a heterogeneous hybrid memory data processing method and system based on a DRAM and an NVM and a storage medium. The method comprises the following steps: respectively configuring the NVM and the DRAM as a main memory and an auxiliary memory; then, utilizing the bidirectional...

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Main Authors QIN XIAOLIN, GU YONGXIANG, PENG YUNCONG, HUANG DONG, SHAN JINGYANG, CUI XIAOLI
Format Patent
LanguageChinese
English
Published 31.12.2021
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Abstract The invention discloses a heterogeneous hybrid memory data processing method and system based on a DRAM and an NVM and a storage medium. The method comprises the following steps: respectively configuring the NVM and the DRAM as a main memory and an auxiliary memory; then, utilizing the bidirectional LSTM neural network model with the attention mechanism to perform classification prediction on the data to be stored in the memory to obtain a corresponding prediction result; then, performing memory scheduling control according to the prediction result of the data to be stored in the memory, wherein if the prediction result indicates that the data are fixed data of high-probability read-only operation, the data are stored in the NVM, and if the prediction result indicates that the data are flow data of high-probability write-in operation, the data are stored in the DRAM. Meanwhile, the neural network model is trained by adopting normally read data and normally written data, so that a computer system can more effi
AbstractList The invention discloses a heterogeneous hybrid memory data processing method and system based on a DRAM and an NVM and a storage medium. The method comprises the following steps: respectively configuring the NVM and the DRAM as a main memory and an auxiliary memory; then, utilizing the bidirectional LSTM neural network model with the attention mechanism to perform classification prediction on the data to be stored in the memory to obtain a corresponding prediction result; then, performing memory scheduling control according to the prediction result of the data to be stored in the memory, wherein if the prediction result indicates that the data are fixed data of high-probability read-only operation, the data are stored in the NVM, and if the prediction result indicates that the data are flow data of high-probability write-in operation, the data are stored in the DRAM. Meanwhile, the neural network model is trained by adopting normally read data and normally written data, so that a computer system can more effi
Author QIN XIAOLIN
CUI XIAOLI
HUANG DONG
GU YONGXIANG
SHAN JINGYANG
PENG YUNCONG
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DocumentTitleAlternate 基于DRAM与NVM的异构混合内存数据处理方法、系统及存储介质
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Snippet The invention discloses a heterogeneous hybrid memory data processing method and system based on a DRAM and an NVM and a storage medium. The method comprises...
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COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title Heterogeneous hybrid memory data processing method and system based on DRAM and NVM and storage medium
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