骨干人才
陈云霁
陈云霁，男，1983年生，江西南昌人，中国科学院计算技术研究所研究员，博士生导师。他带领智能处理器研究中心，研制了国际上首个深度学习专用处理器芯片。相关技术广泛应用于多种手机和服务器产品中。他在ISCA、HPCA、ASPLOS、MICRO、ICSE、ISSCC、Hot Chips、IJCAI、IEEE TC、IEEE TPDS、IEEE TCAD、ACM TOCS和CACM等学术会议及期刊上发表论文100余篇，申请专利100余项，获得了ASPLOS和MICRO等计算机体系结构顶级国际会议最佳论文奖（亚洲迄今在计算机体系结构领域四大顶级国际会议上仅有的两次获奖）。包括哈佛、斯坦福、麻省理工、谷歌等上百个国际知名机构跟踪引用他的学术论文开展深度学习处理器研究。因此，他被Science杂志刊文评价为该方向的“先驱”和“领导者”， 被《麻省理工科技评论》评为全球35位杰出青年创新者。他曾获国家杰出青年科学基金、中国青年科技奖、全国创新争先奖、全国十大最美科技工作者、北京青年五四奖章、教育部青年长江学者、中国科学院杰出科技成就奖（排名1）、中国计算机学会科学技术一等奖（排名1）等。他还曾作为团支部书记，带领支部获得“全国青年文明号”的称号。
主要研究方向及内容
深度学习处理器体系结构
深度学习等智能技术正在逐渐改变人们的生活。但传统芯片难以满足深度学习不断增长的速度和能效需求。因此，我们需要研究有效的深度学习处理器结构，突破深度学习处理器体系结构面临的规模、适配和能效三大挑战。
代表性论文
Yunji Chen, Huiying Lan, Zidong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tianshi Chen:An Instruction Set Architecture for Machine Learning. ACM Trans. Comput. Syst. 36(3): 9:1-9:35 (2019)
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. ISCA 2019: 788-801
Xuda Zhou, Zidong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xuehai Zhou, Ling Li, Tianshi Chen, Yunji Chen:Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach. MICRO 2018: 15-28
Yunji Chen, Olivier Temam, John Carter:Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2017, Xi'an, China, April 8-12, 2017. ACM 2017, ISBN 978-1-4503-4465-4
Yunji Chen, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam:DianNao family: energy-efficient hardware accelerators for machine learning. Commun. ACM 59(11): 105-112 (2016)
Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie,Yunji Chen, and Tianshi Chen, "Cambricon: An Instruction Set Architecture for Neural Networks", in Proceedings of the 43rd ACM/IEEE International Symposium on Computer Architecture (ISCA'16), 2016.(The highest score paper)
Shijin Zhang, Zidong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen:Cambricon-X: An accelerator for sparse neural networks. MICRO 2016: 20:1-20:12
Zidong Du, Avinash Lingamneni, Yunji Chen, Krishna V. Palem, Olivier Temam, and Chengyong Wu, "Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2015.
Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, and Olivier Temam, "DaDianNao: A Machine-Learning Supercomputer", in Proceedings of the 47th IEEE/ACM International Symposium on Microarchitecture (MICRO'14), 2014.
Tianshi Chen, Yunji Chen, Marc Duranton, Qi Guo, Atif Hashmi, Mikko Lipasti, Andrew Nere, Shi Qiu, Michele Sebag, and Olivier Temam, "BenchNN: On the Broad Potential Application Scope of Hardware Neural Network Accelerators", in Proceedings of International Symposium on Workload Characterization (IISWC'12), 2012.
Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam: A High-Throughput Neural Network Accelerator. IEEE Micro 35(3): 24-32 (2015)
Jiachao Deng, Yuntan Fang, Zidong Du, Ying Wang, Huawei Li, Olivier Temam, Paolo Ienne, David Novo, Xiaowei Li, Yunji Chen, Chengyong Wu: Retraining-based timing error mitigation for hardware neural networks. DATE 2015: 593-596