题名 | A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks |
作者 | |
发表日期 | 2022-09
|
DOI | |
发表期刊 | |
ISSN | 1558-0806
|
卷号 | 69期号:9页码:3619-3631 |
关键词 | |
相关链接 | [IEEE记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 其他
|
EI入藏号 | 20222612280659
|
EI主题词 | Benchmarking
; Computation theory
; Computer architecture
; Computer hardware
; Convolution
; Data handling
; Deep neural networks
; Energy efficiency
; Network architecture
; Systolic arrays
|
EI分类号 | Ergonomics and Human Factors Engineering:461.4
; Energy Conservation:525.2
; Information Theory and Signal Processing:716.1
; Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory:721.1
; Logic Elements:721.2
; Computer Systems and Equipment:722
; Data Processing and Image Processing:723.2
|
来源库 | IEEE
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9793397 |
引用统计 |
被引频次[WOS]:10
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/347863 |
专题 | 工学院_深港微电子学院 |
作者单位 | 1.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 2.School of Microelectronics, Southern University of Science and Technology, Shenzhen, China |
推荐引用方式 GB/T 7714 |
Mingqiang Huang,Yucen Liu,Changhai Man,et al. A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks[J]. IEEE Transactions on Circuits and Systems I: Regular Papers,2022,69(9):3619-3631.
|
APA |
Mingqiang Huang.,Yucen Liu.,Changhai Man.,Kai Li.,Quan Cheng.,...&Hao Yu.(2022).A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks.IEEE Transactions on Circuits and Systems I: Regular Papers,69(9),3619-3631.
|
MLA |
Mingqiang Huang,et al."A High Performance Multi-Bit-Width Booth Vector Systolic Accelerator for NAS Optimized Deep Learning Neural Networks".IEEE Transactions on Circuits and Systems I: Regular Papers 69.9(2022):3619-3631.
|
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | 操作 | |
J106.A_High_Performa(4433KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA |
|
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论