个人简介
招生专业
081201-计算机系统结构
研究生培养概况
面向大数据和人工智能的软硬件协同设计
教育背景
1999-09--2002-07 中国科学院研究生院 博士学位
学历
中国科学院大学（中科院软件所）， 1999年09月--2002年7月，计算机软件与理论专业博士 毕业
西南交通大学，1996年09月-1999年3月，固体力学专业，硕士学位
西南交通大学，1992年09月-19996年7月，铁道与道路工程专业，学士学位
工作经历
2002 年7 月-2004 年3 月,助理研究员,中科院计算所高性能计算机研究中心
2004 年3 月-2012年,副研究员,中科院计算所高性能计算机中心
2010 年10 月-至今，被聘任为博士生导师。
2011 年9 月-至今，先进计算机系统研究中心软件系统实验室主任。
2012年10月1日-至今，研究员
工作简历
2012-10~现在, 中国科学院计算技术研究所, 研究员
2004-04~2012-10,中国科学院计算技术研究所, 副研究员
2002-07~2004-04,中国科学院计算技术研究所, 助理研究员
专利与奖励
向国际和国内著名企业转移专利超过36项，包括美国专利8项。
奖励信息
（1） 曙光高性能计算机, 二等奖, 国家级, 2005
（2） 曙光高性能计算机, 特等奖, 部委级, 2004
代表性论文和技术报告
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
Computation Abstractions
· Wanling Gao, Jianfeng Zhan, Lei Wang, Chunjie Luo, Daoyi Zheng, Fei Tang, Biwei Xie, Chen Zheng, Xu Wen, Xiwen He and Hainan Ye: Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads. Parallel Architectures and Compilation Techniques (PACT) 2018.
AI Benchmarking
· Zihan Jiang, Lei Wang, Xingwang Xiong, Wanling Gao, Chunjie Luo, Fei Tang, Chuanxin Lan, Hongxiao Li, Jianfeng Zhan. HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems. arXiv preprint arXiv:2007.00279
· Wanling Gao, Fei Tang, Lei Wang, Jianfeng Zhan, Chunxin Lan, Chunjie Luo, Yunyou Huang, Chen Zheng, Jiahui Dai, Zheng Cao, Daoyi Zheng, Haoning Tang, Kunlin Zhan, Biao Wang, Defei Kong, Tong Wu, Minghe Yu, Chongkang Tan, Huan Li, Xinhui Tian, Yatao Li, Junchao Shao, Zhenyu Wang, Xiaoyu Wang, Hainan Ye. AIBench: an industry standard internet service AI benchmark suite. arXiv preprint arXiv:1908.08998
· Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan. Edge AIBench: towards comprehensive end-to-end edge computing benchmarking. 2018 BenchCouncil International Symposium on Benchmarking, Measuring and Optimization
Big Data Benchmarking
· Lei Wang, Jianfeng Zhan, Chunjie Luo, Yuqing Zhu, Qiang Yang, Yongqiang He, Wanling Gao, Zhen Jia, Yingjie Shi, Shujie Zhang, Chen Zheng, Gang Lu, Kent Zhan, Xiaona Li, Bizhu Qiu: BigDataBench: A big data benchmark suite from internet services. HPCA 2014: 488-499.
· Zijian Ming, Chunjie Luo, Wanling Gao, Rui Han, Qiang Yang, Lei Wang, Jianfeng Zhan: BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking. WBDB 2013: 138-154.
· Zhen Jia, Lei Wang, Jianfeng Zhan, Lixin Zhang, Chunjie Luo: Characterizing data analysis workloads in data centers. IISWC 2013: 66-76.
Cloud Benchmarking
· Chuniie Luo, Jianfeng Zhan, Lei Wang, Gang Lu, Lixin Zhang, Chengzhong Xu, and Ninghui Sun, Cloudrank-d: benchmarking and ranking cloud computing systems for data processing applications, Frontiers of Computer Science 6 (4), 347-362
Computing Paradigms
· Gang Lu, Jianfeng Zhan, Tianshu Hao, Lei Wang: 10-millisecond Computing. CoRR abs/1610.01267 (2016).
· Jianfeng Zhan, Lixin Zhang, Ninghui Sun, Lei Wang, Zhen Jia, Chunjie Luo, High volume throughput computing: Identifying and characterizing throughput oriented workloads in data centers, 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum
· Xinhui Tian, Rui Han, Lei Wang, Gang Lu, Jianfeng Zhan, Latency critical big data computing in finance, The Journal of Finance and Data Science, 2015
Operating Systems
· Gang Lu, Jianfeng Zhan, Chongkang Tan, Xinlong Lin, Defei Kong, Tianshu Hao, Lei Wang, Fei Tang, Chen Zheng: Isolate First, Then Share: A New OS Architecture for Datacenter Computing. arXiv:1604.01378.
· Chen Zheng, Lei Wang, Sally A McKee, Lixin Zhang, Hainan Ye, Jianfeng Zhan. XOS: An Application-Defined Operating System for Datacenter Computing. 2018 IEEE International Conference on Big Data (Big Data)
Cluster and Cloud Resource management
· Jianfeng Zhan, Lei Wang, Xiaona Li, Weisong Shi, Chuliang Weng, Wenyao Zhang, Xiutao Zang: Cost-Aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers. IEEE Trans. Computers 62(11): 2155-2168 (2013).
· Lei Wang, Jianfeng Zhan, Weisong Shi, Yi Liang: In Cloud, Can Scientific Communities Benefit from the Economies of Scale? IEEE Trans. Parallel Distrib. Syst. 23(2): 296-303 (2012).
· Jianfeng Zhan, L Wang, B Tu, Y Li, P Wang, W Zhou, D Meng, Phoenix cloud: Consolidating heterogeneous workloads of large organizations on cloud computing platforms, Proceedins of CCA 08, 2008
· Jianfeng Zhan, Ninghui Sun: Fire Phoenix Cluster Operating System Kernel and its Evaluation. CLUSTER 2005: 1-9.
Programming Systems
· Peng Wang, Dan Meng, Jizhong Han, Jianfeng Zhan, Bibo Tu, Xiaofeng Shi, Le Wan: Transformer: A New Paradigm for Building Data-Parallel Programming Models. IEEE Micro 30(4): 55-64 (2010).
· Xinhui Tian, Biwei Xie, Jianfeng Zhan. Cymbalo: An Efficient Graph Processing Framework for Machine Learning. 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications
Performance Analytics, Management, and Optimization
· Biwei Xie, Jianfeng Zhan, Xu Liu, Wanling Gao, Zhen Jia, Xiwen He, Lixin Zhang. CVR: efficient vectorization of SpMV on x86 processors. Proceedings of the 2018 International Symposium on Code Generation and Optimization
· Zhen Jia, Chao Xue, Guancheng Chen, Jianfeng Zhan, Lixin Zhang, Yonghua Lin, Peter Hofstee. Auto-tuning Spark big data workloads on POWER8: Prediction-based dynamic SMT threading. 2016 International Conference on Parallel Architecture and Compilation Techniques (PACT)
· Xiaoyu Fu, Rui Ren, Jianfeng Zhan, Wei Zhou, Zhen Jia, Gang Lu: LogMaster: Mining Event Correlations in Logs of Large-Scale Cluster Systems. SRDS 2012: 71-80.
· Zhihong Zhang, Jianfeng Zhan, Yong Li, Lei Wang, Dan Meng, Bo Sang: Precise request tracing and performance debugging for multi-tier services of black boxes. DSN 2009: 337-346.
Deep learning and Its applications
· Chunjie Luo, Jianfeng Zhan, X Xue, Lei Wang, Rui Ren, Qiang Yang, Cosine normalization: Using cosine similarity instead of dot product in neural networks, 2018 International Conference on Artificial Neural Networks, 382-391
· Xiexuan Zhou, Wenfeng Zeng, H Chi, C Luo, C Liu, Jianfeng Zhan, SM He, Z Zhang, pdeep: Predicting MS/MS spectra of peptides with deep learning, Analytical chemistry 89 (23), 12690-12697
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