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趙永威  副研究員  

研究方向:

所屬部門:智能處理器研究中心、處理器芯片重點(diǎn)實(shí)驗(yàn)室

導(dǎo)師類別:碩導(dǎo)

聯(lián)系方式:zhaoyongwei@ict.ac.cn

個人網(wǎng)頁:https://yongwei.site/about

簡       歷:

趙永威,2015年于華中科技大學(xué)獲工學(xué)學(xué)士學(xué)位,2020年于中科院計(jì)算所獲工學(xué)博士學(xué)位,現(xiàn)任中科院計(jì)算所副研究員。研究方向?yàn)橹悄芴幚砥黧w系結(jié)構(gòu),在ISCAMICRO、Proc. IEEE等會議和期刊上發(fā)表論文11篇。曾獲中國計(jì)算機(jī)學(xué)會優(yōu)秀博士學(xué)位論文獎、MICRO 2022最佳論文獎提名。

20229月 — 今:中科院計(jì)算所,副研究員

20207月 — 20229月:中科院計(jì)算所,特別研究助理(博士后)

20159月 — 20206月:中科院計(jì)算所,博士

19969月 — 20156月:華中科技大學(xué),計(jì)算機(jī)學(xué)院,本科

主要論著:

期刊文章:

[1] Yongwei Zhao, Zidong Du, Qi Guo, Zhiwei Xu, Yunji Chen. Rescue to the Curse of Universality. Science China: Information Sciences, 2022.

[2] Yongwei Zhao, Yunji Chen, Zhiwei Xu. Fractal Parallel Computing. Intelligent Computing, 2022.

[3] Zidong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhiwei Xu, Ninghui Sun, Yunji Chen. Breaking the Interaction Wall: A DLPU-centric Deep Learning Computing System. IEEE Transactions on Computers, 2022.

[4] 徐志偉, 王一帆, 趙永威, 李春典. 算禮:探索計(jì)算機(jī)系統(tǒng)的可分析抽象. 計(jì)算機(jī)研究與發(fā)展, 2020.

[5] Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu. Self-aware Neural Network Systems: A Survey and New Perspective. Proceedings of the IEEE, 2020.

[6] Yongwei Zhao, Zhe Fan, Zidong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhiwei Xu, Tianshi Chen, Yunji Chen. Machine Learning Computers With Fractal von Neumann Architecture. IEEE Transactions on Computers, 2020.


會議文章:

[1] Yifan Hao, Yongwei Zhao, Chenxiao Liu, Shuyao Cheng, Xiaqing Li, Xing Hu, Zidong Du, Qi Guo, Zhiwei Xu, Tianshi Chen. Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. IEEE/ACM International Symposium on Microarchitecture (MICRO), 2022. (Best Paper Runner-up Award)

[2] Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen. BabelTower: Learning to Auto-parallelized Program Translation. The Thirty-ninth International Conference on Machine Learning (ICML), 2022.

[3] Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen. Cambricon-Q: A Hybrid Architecture for Efficient Training. International Symposium on Computer Architecture (ISCA), 2021.

[4] Yongwei Zhao, Zidong Du, Qi Guo, Shaoli Liu, Ling Li, Zhiwei Xu, Tianshi Chen, Yunji Chen. Cambricon-F: Machine Learning Computers with Fractal von Neumann Architecture. International Symposium on Computer Architecture (ISCA), 2019.

科研項(xiàng)目:

[1] 國家自然科學(xué)基金青年科學(xué)基金項(xiàng)目:具有函數(shù)指令集體系結(jié)構(gòu)的智能處理器研究,項(xiàng)目負(fù)責(zé)人

獲獎及榮譽(yù):

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