A survey of neural network accelerators

doi:10.1007/s11704-016-6159-1

	A survey of neural network accelerators
	Li, Zhen 1; Wang, Yuqing 2; Zhi, Tian 1; Chen, Tianshi 1
	2017-10-01
发表期刊	FRONTIERS OF COMPUTER SCIENCE
ISSN	2095-2228
卷号	11 期号:5 页码:746-761
摘要	Machine-learning techniques have recently been proved to be successful in various domains, especially in emerging commercial applications. As a set of machine-learning techniques, artificial neural networks (ANNs), requiring considerable amount of computation and memory, are one of the most popular algorithms and have been applied in a broad range of applications such as speech recognition, face identification, natural language processing, ect. Conventionally, as a straightforward way, conventional CPUs and GPUs are energy-inefficient due to their excessive effort for flexibility. According to the aforementioned situation, in recent years, many researchers have proposed a number of neural network accelerators to achieve high performance and low power consumption. Thus, the main purpose of this literature is to briefly review recent related works, as well as the DianNao-family accelerators. In summary, this review can serve as a reference for hardware researchers in the area of neural networks.
关键词	neural networks accelerators FPGAs ASICs DianNao series
DOI	10.1007/s11704-016-6159-1
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61100163] ; National Natural Science Foundation of China[61133004] ; National Natural Science Foundation of China[61222204] ; National Natural Science Foundation of China[61221062] ; National Natural Science Foundation of China[61303158] ; National Natural Science Foundation of China[61432016] ; National Natural Science Foundation of China[61472396] ; National Natural Science Foundation of China[61473275] ; National High Technology Research and Development Program (863 Program) of China[2012AA012202] ; CAS[XDA06010403] ; CAS[171111KYSB20130002] ; 10,000 talent program
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000410732200002
出版者	HIGHER EDUCATION PRESS
引用统计	被引频次：27[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/2XEOYT63/6711
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Tianshi
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Li, Zhen,Wang, Yuqing,Zhi, Tian,et al. A survey of neural network accelerators[J]. FRONTIERS OF COMPUTER SCIENCE,2017,11(5):746-761.
APA	Li, Zhen,Wang, Yuqing,Zhi, Tian,&Chen, Tianshi.(2017).A survey of neural network accelerators.FRONTIERS OF COMPUTER SCIENCE,11(5),746-761.
MLA	Li, Zhen,et al."A survey of neural network accelerators".FRONTIERS OF COMPUTER SCIENCE 11.5(2017):746-761.