面向大数据应用的混合内存架构特征分析

doi:10.11959/j.issn.2096-0271.2018031

Abstract

Abstract:

Due to the limited scalability of DRAM,it is hard to optimize the performance of big data analysis and the big data applications.The new non-volatile memory (NVM) brings the opportunity to improve the performance and efficiency for big data applications,which benefits by the advantages of NVM,including its non-volatile,high storage density,and low power consumption.The PCM/DRAM hybrid memory architecture based on the non-volatile memory was analyzed.The feasibility and advantages of hybrid memory for big data applications through the analysis on the optimization of performance,energy consumption and memory management strategies for hybrid memory architecture were demonstrated.The defects in existing work were summarized and the potential research field in PCM/DRAM hybrid memory architecture was discussed.

Key words: big data, non-volatile memory, phase change memory, performance optimization

CLC Number:

TP302.7

Xin LI, Xuan CHEN, Zhiqiu HUANG. Analysis on hybrid memory architecture for big data application[J]. Big Data Research, 2018, 4(3): 61-80.

Figures/Tables 4

References 41

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