PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing

doi:10.1016/j.suscom.2019.01.006

	PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing
	Li, Wenming 1; Ye, Xiaochun 1; Wang, Da 1,3; Zhang, Hao 1,3; Tang, Zhimin 1,2; Fan, Dongrui 1,2; Sun, Ninghui 1
	2019-03-01
发表期刊	SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
ISSN	2210-5379
卷号	21 页码:129-142
摘要	The ever-growing data volume in big data era drives designers to find more efficient processor architectures both in performance and energy consumption. Among various computing patterns in big data applications, string operations are common but important parts of data processing. However, due to the consideration of generality, current general-purpose CPUs are not efficient in both performance and energy consumption when processing simple and fixed computation patterns of discrete string operations. On the other hand, moving massive data from memory to computing units through NoC, Cache hierarchies, and other memory access data paths is time-consuming and especially energy consuming. Fortunately, emerging technologies, such as Hybrid Memory Cube (HMC), enable the processing-in memory (PIM) functionality without transferring massive data to remote processing units. In this paper, we propose PIM-WEAVER, a high-efficiency novel acceleration architecture for string processing using PIM mechanism, which is the 3D integration technology that facilitates stacking logic and memory dies in a single package. The PIM-WEAVER is implemented using such technology by integrating string processing units into the real world HMC memory. In PIM-WEAVER, the general-purpose acceleration architecture for string operation is implemented within the memory cube, which can reduce the latency of data transfer and also save energy. We also propose a full-stack solution of programming interface and control mechanism of instruction level. Our comprehensive evaluations using typical string processing algorithms from big data applications show that the PIM-WEAVER gains an average speedup of 14.74x over high-performance Intel processor, and reduces the energy consumption by 82.1% on average, with tiny area overhead. (C) 2019 Published by Elsevier Inc.
关键词	PIM String operations Acceleration architecture Big data HMC
DOI	10.1016/j.suscom.2019.01.006
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61732018] ; National Natural Science Foundation of China[61521092] ; National Key Research and Development Program[2017YFC0803401] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA18000000] ; Innovation Project Program of the State Key Laboratory of Computer Architecture[CARCH3303] ; Innovation Project Program of the State Key Laboratory of Computer Architecture[CARCH3407] ; Innovation Project Program of the State Key Laboratory of Computer Architecture[CARCH3502] ; Innovation Project Program of the State Key Laboratory of Computer Architecture[CARCH3505]
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems
WOS记录号	WOS:000461484700012
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/4138
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ye, Xiaochun
作者单位	1.Chinese Acad Sci, ICT, SKL Comp Architecture, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing, Peoples R China 3.SmarCo Co Ltd, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Wenming,Ye, Xiaochun,Wang, Da,et al. PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing[J]. SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,2019,21:129-142.
APA	Li, Wenming.,Ye, Xiaochun.,Wang, Da.,Zhang, Hao.,Tang, Zhimin.,...&Sun, Ninghui.(2019).PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing.SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,21,129-142.
MLA	Li, Wenming,et al."PIM-WEAVER: A High Energy-efficient, General-purpose Acceleration Architecture for String Operations in Big Data Processing".SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 21(2019):129-142.