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内存计算技术研究综述
引用本文:罗乐,刘轶,钱德沛. 内存计算技术研究综述[J]. 软件学报, 2016, 27(8): 2147-2167
作者姓名:罗乐  刘轶  钱德沛
作者单位:北京航空航天大学 计算机学院, 北京 100191,北京航空航天大学 计算机学院, 北京 100191,北京航空航天大学 计算机学院, 北京 100191
基金项目:国家自然科学基金(91530324);国家高科技研究发展计划(863)(2015AA01A301)
摘    要:在大数据时代,如何高效地处理海量数据以满足性能需求,是一个需要解决的重要问题.内存计算充分利用大容量内存进行数据处理,减少甚至避免I/O操作,因而极大地提高了海量数据处理的性能,同时也面临一系列有待解决的问题.首先,在分析内存计算技术特点的基础上对其进行了分类,并分别介绍了各类技术及系统的原理、研究现状及热点问题;其次,对内存计算的典型应用进行了分析;最后,从总体层面和应用层面对内存计算面临的挑战予以分析,并且对其发展前景做了展望.

关 键 词:内存计算  新型混合内存  分布式集群  图计算  大数据处理
收稿时间:2015-07-22
修稿时间:2016-05-23

Survey on In-Memory Computing Technology
LUO Le,LIU Yi and QIAN De-Pei. Survey on In-Memory Computing Technology[J]. Journal of Software, 2016, 27(8): 2147-2167
Authors:LUO Le  LIU Yi  QIAN De-Pei
Affiliation:School of Computer Science and Engineering, BeiHang University, Beijing 100191, China,School of Computer Science and Engineering, BeiHang University, Beijing 100191, China and School of Computer Science and Engineering, BeiHang University, Beijing 100191, China
Abstract:In the era of big data, systems need to process massive data efficiently to meet performance requirements of applications. In-memory computing technology can improve performance of massive data processing significantly by utilizing memory and avoid I/O operations. However, the technology faces a series of challenges that need to be solved. This paper analyzes characteristics of in-memory computing technology, lays out its classification, and introduces principles, related works and hot topics of every category. In addition, several typical applications of in-memory technology are introduced. Finally, challenges and opportunities for in-memory computing are elaborated.
Keywords:in-memory computing  hybrid memory  distributed system  graph processing  big data processing
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