基本信息
支天  女    中国科学院计算技术研究所
电子邮件: zhitian@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码:

研究领域

集成电路设计,可重构计算

招生信息

硕士研究生,计算机系统结构

招生专业
081201-计算机系统结构
招生方向
集成电路设计
可重构计算

教育背景

2009-09--2014-06   中国科学院电子学研究所   硕博连读,获得工学博士学位

工作经历

20209月—今:中国科学院计算技术研究所,高级工程师

20177月—20209月:中国科学院计算技术研究所,工程师

20147月—20176月:中国科学院计算技术研究所,博士后

教授课程

智能计算机基础及应用

专利与奖励

[1] 赵永威,支天,杜子东,陈云霁,孙凝晖,郭崎。用于智能处理器的控制系统、方法及电子设备,中国,201911335142.2,实审。 

[2] 支天,赵永威,李威,张士锦,杜子东,郭崎。用于智能处理器的指令分解方法、装置及电子设备,中国,201911335857.8,实审。 

支天,赵永威,李威,张士锦,杜子东,郭崎。用于智能处理器的内存管理装置、方法及电子设备,中国,202010492049.9,申请提交

奖励信息
(1) 2020年度中科院计算所卓越之星, 特等奖, 研究所(学校), 2020

出版信息

期刊文章: 

[1] 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 108(7): 1047-1067 (2020). 

[2] Xi Zeng, Tian Zhi, Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Bingrui Wang, Yuanbo Wen, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Ninghui Sun, Yunji Chen: Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach. IEEE Trans. Computers 69(7): 968-985 (2020). 

[3] 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 Trans. Computers 69(7): 998-1014 (2020). 

[4] Dong Han, Shengyuan Zhou, Tian Zhi, Yibo Wang, Shaoli Liu: Float-Fix: An Efficient and Hardware-Friendly Data Type for Deep Neural Network. Int. J. Parallel Program. 47(3): 345-359 (2019). 

[5] Yong Yu, Tian Zhi, Xuda Zhou, Shaoli Liu, Yunji Chen, Shuyao Cheng: BSHIFT: A Low Cost Deep Neural Networks Accelerator. Int. J. Parallel Program. 47(3): 360-372 (2019). 

[6] Zhen Li, Yuqing Wang, Tian Zhi, Tianshi Chen: A survey of neural network accelerators. Frontiers Comput. Sci. 11(5): 746-761 (2017). 

会议文章:

[1] Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen: DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI 2020: 4174-4181. 

[2] Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen: Fixed-Point Back-Propagation Training. CVPR 2020: 2327-2335 

[3] Lei Zhang, Shengyuan Zhou, Tian Zhi, Zidong Du, Yunji Chen: TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding. AAAI 2019: 1319-1326. 

[4] Jin Song, Yimin Zhuang, Xiaobing Chen, Tian Zhi, Shaoli Liu: Compiling Optimization for Neural Network Accelerators. APPT 2019: 15-26. 

[5] Weijian Du, Linyang Wu, Xiaobing Chen, Yimin Zhuang, Tian Zhi: ZhuQue: A Neural Network Programming Model Based on Labeled Data Layout. APPT 2019: 27-39. 

[6] Xiaobing Chen, Shaohui Peng, Luyang Jin, Yimin Zhuang, Jin Song, Weijian Du, Shaoli Liu, Tian Zhi: Partition and Scheduling Algorithms for Neural Network Accelerators. APPT 2019: 55-67. 

[7] Yimin Zhuang, Shaohui Peng, Xiaobing Chen, Shengyuan Zhou, Tian Zhi, Wei Li, Shaoli Liu: Deep Fusion: A Software Scheduling Method for Memory Access Optimization. NPC 2019: 277-288. 

[8] Xiao Zhang, Huiying Lan, Tian Zhi: Leveraging Subgraph Extraction for Performance Portable Programming Frameworks on DL Accelerators. NPC 2018: 179-184. 

[9] Jinhong Zhou, Shaoli Liu, Qi Guo, Xuda Zhou, Tian Zhi, Dao-Fu Liu, Chao Wang, Xuehai Zhou, Yunji Chen, Tianshi Chen: TuNao: A High-Performance and Energy-Efficient Reconfigurable Accelerator for Graph Processing. CCGrid 2017: 731-734.

科研活动

作为课题负责人承担了中科院战略性先导专项、科技部重点项目、国家自然科学基金等7项课题。