BSHIFT: A Low Cost Deep Neural Networks Accelerator | |
Yu, Yong3,4,5; Zhi, Tian5; Zhou, Xuda2; Cheng, Shuyao1; Chen, Yunji4,5; Liu, Shaoli3,5 | |
刊名 | INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING |
2019-06-01 | |
卷号 | 47期号:3页码:360-372 |
关键词 | Deep neural networks Low power Lossless Accelerator |
ISSN号 | 0885-7458 |
DOI | 10.1007/s10766-018-00624-9 |
英文摘要 | Deep neural networks (DNNs) have become ubiquitous in artificial intelligence applications, including image processing, speech processing and natural language processing. However, the main characteristic of DNNs is that they are computationally and memory intensive, making them difficult to deploy on embedded systems with limited hardware resources and power budgets. To address this limitation, we introduce a new quantization method with mixed data structure and bit-shifting broadcast accelerator structure BSHIFT. These works together reduce the storage requirement of neural networks models from 32 to 5bits without affecting their accuracy. We implement BSHIFT at TSMC 16nm technology node, and the efficiency achieves 64TOPS/s per watt in our experiments. |
资助项目 | National Key Research and Development Program of China[2017YFA0700902] ; National Key Research and Development Program of China[2017YFB1003101] ; NSF of China[61472396] ; NSF of China[61432016] ; NSF of China[61473275] ; NSF of China[61522211] ; NSF of China[61532016] ; NSF of China[61521092] ; NSF of China[61502446] ; NSF of China[61672491] ; NSF of China[61602441] ; NSF of China[61602446] ; NSF of China[61732002] ; NSF of China[61702478] ; 973 Program of China[2015CB358800] ; National Science and Technology Major Project[2018ZX01031102] |
WOS研究方向 | Computer Science |
语种 | 英语 |
出版者 | SPRINGER/PLENUM PUBLISHERS |
WOS记录号 | WOS:000471644400003 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.204/handle/2XEOYT63/4193] |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Yu, Yong |
作者单位 | 1.Tsinghua Univ, Beijing 100084, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China 3.Cambricon Tech Ltd, Beijing 100191, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Yu, Yong,Zhi, Tian,Zhou, Xuda,et al. BSHIFT: A Low Cost Deep Neural Networks Accelerator[J]. INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,2019,47(3):360-372. |
APA | Yu, Yong,Zhi, Tian,Zhou, Xuda,Cheng, Shuyao,Chen, Yunji,&Liu, Shaoli.(2019).BSHIFT: A Low Cost Deep Neural Networks Accelerator.INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING,47(3),360-372. |
MLA | Yu, Yong,et al."BSHIFT: A Low Cost Deep Neural Networks Accelerator".INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING 47.3(2019):360-372. |
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