陈云霁  研究员  

研究方向:计算机体系结构;机器学习

所属部门:智能处理器研究中心、计算机体系结构国家重点实验室

导师类别:博导计算机系统结构

联系方式:cyj@ict.ac.cn

个人网页:http://novel.ict.ac.cn/ychen

简       历:

  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(亚洲迄今仅有的两次)。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杂志评价为该方向的“先驱”和“领导者”。
  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、国家自然科学基金委“优秀青年基金”、教育部“青年长江学者”,并被MIT技术评论评为全球35位杰出青年创新者(2015年度)。他还曾两次获得中国科学院优秀导师奖。  
个人经历:

2012-至今,中科院计算所,研究员

2009-2012,中科院计算所,副研究员

2007-2009,中科院计算所,助理研究员

2002-2007,中科院计算所,硕博生

1997-2002,中国科大少年班,本科生

主要论著:

期刊文章:

[1] 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 Trans. Computers 71(1): 209-222(2022)

[2] Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen: Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 116-128(2022)

[3] Zhenxing Zhang, Shiyan Sun, Xunyu Chen, Tian Zhi, Qi Guo, Yunji Chen: Space-address decoupled scratchpad memory management for neural network accelerators.Concurr. Comput. Pract. Exp. 33(6) (2021)

[4] Di Huang, Rui Zhang, Xishan Zhang, Fan Wu, Xianzhuo Wang, Pengwei Jin, Shaoli Liu, Ling Li, Yunji Chen: A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis. Int. J. Comput. Vis. 129(10): 2806-2826 (2021)

[5] Zidong Du, Qi Guo, Yongwei Zhao, Tian Zhi, Yunji Chen, Zhiwei Xu: Self-Aware Neural Network Systems: A Survey and New Perspective. Proc. IEEE 108(7): 1047-1067 (2020)

[6] 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. Computers69(7): 968-985 (2020)

[7] 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)

[8] Shengyuan Zhou, Qi Guo, Zidong Du, Dao-Fu Liu, Tianshi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen: ParaML: A Polyvalent Multicore Accelerator for Machine Learning.IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(9): 1764-1777(2020)

[9] 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)

[10] Bingsheng He, Yunji Chen, Jingren Zhou: Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures. IEEE Trans. Big Data 5(1): 2-3 (2019)

[11] Xuda Zhou, Zidong Du, Shijin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tianshi Chen, Yunji Chen: Addressing Sparsity in Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1858-1871 (2019)

[12] 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)

[13] Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Ling-Jie Xu, Cong Liu, Hai-Feng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen: BenchIP: Benchmarking Intelligence Processors. J. Comput. Sci. Technol. 33(1): 1-23 (2018)

[14] Zhe Wang, Chenggang Wu, Xiang Yuan, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yuanming Lai, Yong Guan: Using Local Clocks to Reproduce Concurrency Bugs. IEEE Trans. Software Eng. 44(11): 1112-1128 (2018)

[15] Huiying Lan, Linyang Wu, Xiao Zhang, Jinhua Tao, Xunyu Chen, Bingrui Wang, Yu-Qing Wang, Qi Guo, Yunji Chen: DLPlib: A Library for Deep Learning Processor. J. Comput. Sci. Technol. 32(2): 286-296 (2017)

[16] Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shijin Zhang, Tianshi Chen, Zhiwei Xu, Olivier Temam, Yunji Chen: DaDianNao: A Neural Network Supercomputer. IEEE Trans. Computers 66(1): 73-88 (2017)

[17] Zidong Du, Shaoli Liu, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yunji Chen, Olivier Temam: An Accelerator for High Efficient Vision Processing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(2): 227-240 (2017)

[18] Yubin Xia, Yutao Liu, Haibing Guan, Yunji Chen, Tianshi Chen, Binyu Zang, Haibo Chen: Secure Outsourcing of Virtual Appliance. IEEE Trans. Cloud Comput.5(3): 390-404 (2017)

[19] Chao Wang, Xi Li, Yunji Chen, Youhui Zhang, Oliver Diessel, Xuehai Zhou: Service-Oriented Architecture on FPGA-Based MPSoC. IEEE Trans. Parallel Distributed Syst. 28(10): 2993-3006 (2017)

[20] 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)

[21] Yue Wu, Chao Lu, Yunji Chen: A survey of routing algorithm for mesh Network-on-Chip. Frontiers Comput. Sci. 10(4): 591-601 (2016)

[22] Babak Falsafi, Mircea Stan, Kevin Skadron, Nuwan Jayasena, Yunji Chen, Jinhua Tao, Ravi Nair, Jaime H. Moreno, Naveen Muralimanohar, Karthikeyan Sankaralingam, Cristian Estan: Near-Memory Data Services. IEEE Micro 36(1): 6-13 (2016)

[23] Qi Guo, Tianshi Chen, Yunji Chen, Franz Franchetti: Accelerating Architectural Simulation Via Statistical Techniques: A Survey. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 433-446 (2016)

[24] Shaoli Liu, Tianshi Chen, Ling Li, Xiaoxue Feng, Zhiwei Xu, Haibo Chen, Frederic T. Chong, Yunji Chen: IMR: High-Performance Low-Cost Multi-Ring NoCs. IEEE Trans. Parallel Distributed Syst. 27(6): 1700-1712 (2016)

[25] Yunji Chen, Shijin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tianshi Chen: Deterministic Replay: A Survey. ACM Comput. Surv. 48(2): 17:1-17:47(2015)

[26] 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)

[27] Shuangde Fang, Wenwen Xu, Yang Chen, Lieven Eeckhout, Olivier Temam, Yunji Chen, Chengyong Wu, Xiaobing Feng: Practical Iterative Optimization for the Data Center. ACM Trans. Archit. Code Optim. 12(2): 15:1-15:26 (2015)

[28] Chao Wang, Xi Li, Junneng Zhang, Peng Chen, Yunji Chen, Xuehai Zhou, Ray C. C. Cheung: Architecture Support for Task Out-of-Order Execution in MPSoCs.IEEE Trans. Computers 64(5): 1296-1310 (2015)

[29] Tianshi Chen, Qi Guo, Olivier Temam, Yue Wu, Yungang Bao, Zhiwei Xu, Yunji Chen: Statistical Performance Comparisons of Computers. IEEE Trans. Computers 64(5): 1442-1455 (2015)

[30] Zidong Du, Avinash Lingamneni, Yunji Chen, Krishna V. Palem, Olivier Temam, Chengyong Wu: Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(8): 1223-1235 (2015)

[31] Tianshi Chen, Shijin Zhang, Shaoli Liu, Zidong Du, Tao Luo, Yuan Gao, Junjie Liu, Dongsheng Wang, Chengyong Wu, Ninghui Sun, Yunji Chen, Olivier Temam: A Small-Footprint Accelerator for Large-Scale Neural Networks.ACM Trans. Comput. Syst. 33(2): 6:1-6:27 (2015)

[32] Qi Guo, Tianshi Chen, Zhi-Hua Zhou, Olivier Temam, Ling Li, Depei Qian, Yunji Chen: Robust Design Space Modeling. ACM Trans. Design Autom. Electr. Syst.20(2): 18:1-18:22 (2015)

[33] Shaoli Liu, Tianshi Chen, Ling Li, Xi Li, Mingzhe Zhang, Chao Wang, Haibo Meng, Xuehai Zhou, Yunji Chen: FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information. IEEE Trans. Parallel Distributed Syst. 26(8): 2272-2285 (2015)

[34] Shaoli Liu, Ling Li, Yunji Chen, Weiwu Hu: Auxiliary stream for optimizing memory access of video decoders.Sci. China Inf. Sci. 57(1): 1-10 (2014)

[35] Yue Wu, Yunji Chen, Tianshi Chen, Qi Guo, Lei Zhang: An Elastic Architecture Adaptable to Various Application Scenarios.J. Comput. Sci. Technol. 29(2): 227-238 (2014)

[36] Peng Chen, Lei Zhang, Yinhe Han, Yunji Chen: A General-Purpose Many-Accelerator Architecture Based on Dataflow Graph Clustering of Applications. J. Comput. Sci. Technol.29(2): 239-246 (2014)

[37] Yi-Xiao Yin, Yunji Chen, Qi Guo, Tianshi Chen: Prevention from Soft Errors via Architecture Elasticity. J. Comput. Sci. Technol. 29(2): 247-254 (2014)

[38] Weiwu Hu, Liang Yang, Bao-Xia Fan, Huandong Wang, Yunji Chen: An 8-Core MIPS-Compatible Processor in 32/28 nm Bulk CMOS. IEEE J. Solid State Circuits 49(1): 41-49 (2014)

[39] Shuangde Fang, Zidong Du, Yuntan Fang, Yuanjie Huang, Yang Chen, Lieven Eeckhout, Olivier Temam, Huawei Li, Yunji Chen, Chengyong Wu: Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach. ACM Trans. Archit. Code Optim.11(2): 21:1-21:25 (2014)

[40] Qi Guo, Tianshi Chen, Yunji Chen, Rui Wang, Huanhuan Chen, Weiwu Hu, Guoliang Chen: Pre-Silicon Bug Forecast. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 33(3): 451-463 (2014)

 

会议文章:

[1] Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen: Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. IJCAI 2021: 2476-2482

[2] Zhixing Du, Rui Zhang, Ming Chang, Xishan Zhang, Shaoli Liu, Tianshi Chen, Yunji Chen: Distilling Object Detectors with Feature Richness. NeurIPS 2021: 5213-5224

[3] Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen: ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS 2021: 28169-28181

[4] 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

[5] 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

[6] Xi Zeng, Tian Zhi, Zidong Du, Qi Guo, Ninghui Sun, Yunji Chen: ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning. ICCD 2020: 623-630

[7] 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

[8] 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

[9] 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

[10] 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

[11] Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, Tianshi Chen: Cambricon: An Instruction Set Architecture for Neural Networks.ISCA 2016: 393-405

[12] 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. MICRO2016: 20:1-20:12

[13] Dao-Fu Liu, Tianshi Chen, Shaoli Liu, Jinhong Zhou, Shengyuan Zhou, Olivier Temam, Xiaobing Feng, Xuehai Zhou, Yunji Chen: PuDianNao: A Polyvalent Machine Learning Accelerator. ASPLOS2015: 369-381

[14] Xiaochun Zhang, Qi Guo, Yunji Chen, Tianshi Chen, Weiwu Hu: HERMES: a fast cross-ISA binary translator with post-optimization.CGO 2015: 246-256

[15] 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

[16] Xiang Yuan, Chenggang Wu, Zhenjiang Wang, Jianjun Li, Pen-Chung Yew, Jeff Huang, Xiaobing Feng, Yanyan Lan, Yunji Chen, Yong Guan: ReCBuLC: Reproducing Concurrency Bugs Using Local Clocks. ICSE (1)2015: 824-834

[17] Zidong Du, Robert Fasthuber, Tianshi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiaobing Feng, Yunji Chen, Olivier Temam: ShiDianNao: shifting vision processing closer to the sensor. ISCA2015: 92-104

[18] Zidong Du, Daniel D. Ben-Dayan Rubin, Yunji Chen, Liqiang He, Tianshi Chen, Lei Zhang, Chengyong Wu, Olivier Temam: Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches. MICRO 2015: 494-507

[19] Zidong Du, Krishna V. Palem, Lingamneni Avinash, Olivier Temam, Yunji Chen, Chengyong Wu: Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators. ASP-DAC 2014: 201-206

[20] Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, Olivier Temam: DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. ASPLOS 2014: 269-284

[21] Jing Huang, Yuanjie Huang, Olivier Temam, Paolo Ienne, Yunji Chen, Chengyong Wu: A low-cost memory interface for high-throughput accelerators.CASES 2014: 11:1-11:10

[22] Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Ray C. C. Cheung: Big data genome sequencing on Zynq based clusters (abstract only).FPGA 2014: 247

[23] Chao Wang, Xi Li, Xuehai Zhou, Yunji Chen, Koen Bertels: Co-processing with dynamic reconfiguration on heterogeneous MPSoC: practices and design tradeoffs (abstract only). FPGA 2014: 248

[24] Tianshi Chen, Qi Guo, Ke Tang, Olivier Temam, Zhiwei Xu, Zhi-Hua Zhou, Yunji Chen: ArchRanker: A ranking approach to design space exploration. ISCA2014: 85-96

[25] Yunji Chen, Tao Luo, Shaoli Liu, Shijin Zhang, Liqiang He, Jia Wang, Ling Li, Tianshi Chen, Zhiwei Xu, Ninghui Sun, Olivier Temam: DaDianNao: A Machine-Learning Supercomputer. MICRO 2014: 609-622

 

发表著作:

[1] 计算机体系结构, 清华大学出版社, 2011-06, 2 作者

[2] 智能计算系统, AI Computing Systems, 华章出版社, 2020-03, 1 作者

科研项目:

 

获奖及荣誉: