Exploration of model optimization architecture on the inference side of deep learning

Information and Communications Technology and Policy ›› 2020, Vol. 46 ›› Issue (9): 42-47.

Previous Articles Next Articles

Exploration of model optimization architecture on the inference side of deep learning

1. Nanjing R&D Center of ZTE Corporation, Nanjing 210012, China
2. Tianjin R&D Center of ZTE Corporation, Tianjin 300308, China

Online:2020-09-15 Published:2020-11-05

Abstract

MENG Wei, YUAN Liya, HAN Bingtao, LIU Tao. Exploration of model optimization architecture on the inference side of deep learning[J]. Information and Communications Technology and Policy, 2020, 46(9): 42-47.

Add to citation manager EndNote|Ris|BibTeX

URL: http://ictp.caict.ac.cn/EN/Y2020/V46/I9/42

[1]	中国人工智能产业发展联盟. 聚焦“新基建” \|人工智能支撑新冠肺炎疫情防控信息平台正当其时[Z / OL].http:/ / aiiaorg. cn /index. php? m = content&c = index&a = show&catid = 8&id=122.
[2]	ITU-T SG13-C-0917-R2. Architecture framework for serving ML models in future networks including IMT-2020[S], 2020.
[3]	GitHub. Tao Liu. adlik tutorials [R] . [2020-08-09].https:/ / github. com / Adlik / Adlik.
[4]	Benoit Jacob, Skirmantas Kligys, Bo Chen, et al.Quantization and training of neural networks for efficient integer-arithmetic-only inference [ N ]. arXiv:1712. 05877, 2017-12-15.

[1]	LI Lili, YANG Peiyu, CHEN Xin. Research on fostering AI industrial talents in new development stage in China [J]. Information and Communications Technology and Policy, 2021, 47(5): 6-10.
[2]	WEI Wei, NIU Jinhang, JING Huiyun. Build security system to escort the development of new infrastructure for artificial intelligence [J]. Information and Communications Technology and Policy, 2021, 47(5): 11-14.
[3]	YANG Mingchuan, LIU Qian, ZHAO Jizhuang. Research on artificial intelligence-enabled data center [J]. Information and Communications Technology and Policy, 2021, 47(4): 1-7.
[4]	LIU Zongmei. Blockchain helps collaborative governance of anti-fraud in telecommunications networks [J]. Information and Communications Technology and Policy, 2021, 47(3): 61-65.
[5]	WANG Yuntao. Analysis of communication system optimizationson performance of distributed machine learning systems [J]. Information and Communications Technology and Policy, 2021, 47(3): 83-89.
[6]	WANG Yifei, HAN Kaifeng. Research on the ethical risk and governance system of Artificial Intelligence in the digital economy era [J]. Information and Communications Technology and Policy, 2021, 47(2): 32-36.
[7]	ZHANG Yankun, WANG Xuemei, YUN Mengyan, ZHU Jiajia, LU Yapeng, WANG Yi. Methods and practices of scale measurement in emerging fields of ICT [J]. Information and Communications Technology and Policy, 2021, 47(2): 56-62.
[8]	CHEN Hu, WANG Cheng, LU Renqian. Research on surface micro-defect detection method and application [J]. Information and Communications Technology and Policy, 2021, 47(1): 20-26.
[9]	LIN Deping, PENG Tao, LIU Chunping. Prospect of 6G vision requirements, network architecture and key technology [J]. Information and Communications Technology and Policy, 2021, 47(1): 82-89.
[10]	CHENG Qiang, LIU Zishan. Intelligent telecommunication networks: current status and future prospects [J]. Information and Communications Technology and Policy, 2020, 46(9): 16-22.
[11]	Chih-Lin I, SUN Qi, WU Jie, DUAN Ran. AI in 5G networks———usage scenario and standardization progress [J]. Information and Communications Technology and Policy, 2020, 46(9): 23-30.
[12]	PAN Feng, LYU Bo. Research on testing and inspection technology for synchronization based on artificial intelligence [J]. Information and Communications Technology and Policy, 2020, 46(9): 55-62.
[13]	HAN Shengjie, ZHANG Yi, GE Hantao. Face image forgery and detection techniques review [J]. Information and Communications Technology and Policy, 2020, 46(7): 88-92.
[14]	YANG Mingchuan. Big Data and Artificial Intelligence to build the future of digital transformation [J]. Information and Communications Technology and Policy, 2020, 46(4): 1-6.
[15]	WEI Wei, SHANG Tieli, ZHOU Shuai. The impact and the countermeasures of Artificial Intelligence on the governance of Telecom Network Fraud [J]. Information and Communications Technology and Policy, 2020, 46(4): 80-84.

Exploration of model optimization architecture on the inference side of deep learning

PDF

Knowledge

Abstract

Cite this article

share this article

References 4

Related Articles 15

Recommended Articles

Metrics

Comments