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陈 全

博士、特别研究员
计算机科学与工程系
上海交通大学

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邮箱:
021-34207239
电信群楼3号楼522
上海闵行区东川路800号

chen-quan [AT] cs [DOT] sjtu [DOT] edu [DOT] cn

Index

 
  • 研究兴趣
  • 个人简介
  • 教育背景
  •  
  • 工作经历
  • 教学情况
  • 学术服务
  •  
  • 主要获奖
  • 国家项目
  • 企业合作
  •  
  • 近期发表
  • 研究兴趣

    计算机系统、体系结构、并行计算

    个人简介

    本人目前是上海交通大学计算机科学与工程系长聘教轨特别研究员,并加入新兴并行计算研究中心团队。

    本团队目前正在招募博士研究生和硕士研究生。如果你对并行计算、计算机系统、计算机体系结构感兴趣,请和我联系。

    教育背景

    2013.11 -- 2014.09,    访问学者,美国哥伦比亚大学
    2009.09 -- 2014.06,    博士,       上海交通大学计算机科学与工程系
    2011.03 -- 2011.11,    研究助理,新西兰奥塔哥大学计算机系
    2010.06 -- 2010.11,    访问学者,新西兰奥塔哥大学计算机系
    2007.09 -- 2009.07,    硕士,       上海交通大学计算机科学与工程系
    2003.09 -- 2007.07,    学士,       同济大学计算机科学与技术系

    工作经历

    2016.7 -- 至今,           特别研究员,        上海交通大学计算机科学与工程系
    2014.10 -- 2016.04,    博士后,                密西根大学安娜堡分校计算机系
    2014.07 -- 2016.06,    海外师资博士后,上海交通大学软件学院

    教学情况

    春季学期     Linux内核, 课程网站: http://cc.sjtu.edu.cn/G2S/site/cs353.html
    春季学期     并行编程
    秋季学期     高级计算机体系结构,课程网站:http://cc.sjtu.edu.cn/G2S/site/aca.html

    学术服务

    #     CCF高性能计算专委委员
    #     CCF体系结构专委委员
    #     CCF优博论坛执行委员会执行委员
    #     国际会议程序委员会主席:PMAM 2017,PMAM 2018,PAMLA 2018
    #     国际会议程序委员会成员:PMAM 2014-2016, DAC 2017, ICPADS 2018, HPC-China 2018, ACA 2018
    #     期刊审稿人:IEEE Transactions on Computers (TC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing (TCC), IEEE Transactions on Very Large Scale Integration Systems (TVLSI), IEEE Transactions on Emerging Topics in Computing (TETC), ACM Transactions on Embedded Computing Systems (TECS), Parallel Computing (Parco)

    主要获奖

    2011 -- 2012     IBM Ph.D fellowship awards
    2012 -- 2013     CSC-IBM 中国优秀学生奖
    2014         上海交通大学优秀毕业生
    2015         中国计算机学会优秀博士学位论文奖
    2016         上海市优秀博士学位论文奖
    2017         微软铸星计划
    2017         上海交通大学博士后奖励基金一等奖
    2017         IEEE TCSC Award for Excellence (Early Career Researcher)
    2017         教育部自然科学奖一等奖 (排名: 3/3)

    国家项目

    #
    负责人,    适配异构内存架构的自适应任务调度的研究(国家自然科学基金青年基金项目,No. 61602301), 2017-2019
    #
    参与,        网络广告拍卖的博弈理论和计算方法研究(国家自然科学基金重点项目,No. 61632017), 2017-2021
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    项目骨干,城市大数据三元空间协同计算理论与方法(973计划项目,No. 2015CB352400), 2015-2019
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    项目骨干,人机物融合的云计算架构与平台(国家重点研发计划项目,No. 2018YFB1004802), 2018-2021

    企业合作

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    负责人,    大规模异构处理平台技术合作项目(华为创新研究计划HIRP), 2017
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    负责人,    面向公有云的QoS敏感高利用率智能容量规划(阿里巴巴创新研究计划AIR), 2018
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    负责人,    基于容器的公有云中恶意攻击防护与智能容器放置(阿里巴巴创新研究计划AIR), 2019

    近期发表

    专著

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    Quan Chen, Minyi Guo. Task Scheduling for Multi-core and Parallel Architectures - Challenges, Solutions and Perspectives. Springer Nature, 2017.

    杂志论文

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    [Science] Minyi Guo, Quan Chen. Dynamic Task Scheduling for Modern Large-Scale Parallel Architectures. Science (Pushing the boundaries of scientific research: 120 years of addressing global issues). 26-29, 2016.

    部分会议论文

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    [ICCD'18] Yuhai Cao, Chao Li, Quan Chen, Jingwen Leng, Minyi Guo, Jing Wang, Weigong Zhang. DR DRAM: Accelerating Memory-Read-Intensive Applications. IEEE International Conference on Computer Design. 2018.
    #
    [ICCD'18] Xiaofeng Hou, Chao Li, Luoyao Hao, Quan Chen, Wenli Zheng, Minyi Guo. Power Grab in Aggressively Provisioned Data Centers: What is the Risk and What Can Be Done About It. IEEE International Conference on Computer Design. 2018. (Best Paper Award)
    #
    [ESEC/FSE'18-NIER] Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun. DLFuzz: Differential Fuzzing Testing of Deep Learning Systems. ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, New Ideas and Emerging Results. 2018.
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    [DATE'18] Pu Pang, Yixun Zhang, Tianjian Li, Sung Kyu Lim, Quan Chen, Xiaoyao Liang, Li Jiang. In-growth Test for Monolithic 3D Integrated SRAM. Design, Automation and Test in Europe. 2018.
    #
    [SOSP'17 poster] Han Zhao, Quan Chen, Yuxian Qiu, Yao Shen, Minyi Guo. Hotness and Locality Aware Work-Stealing Runtime System for Hybrid Memory Architectures. ACM Symposium on Operating Systems Principles. 2017.
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    [ISCA'17] Hailong Yang, Quan Chen, Moeiz Riaz, Jason Mars, Lingjia Tang, Zhongzhi Luan. PowerChief: Intelligent Power Allocation for Multi-Stage Applications to Improve Responsiveness on Power Constrained CMP. The 44th International Symposium on Computer Architecture. 2017.
    #
    [ASPLOS'17] Quan Chen, Hailong Yang, Minyi Guo, Ram Srivatsa Kannan, Jason Mars, Lingjia Tang. Prophet: Precise QoS Prediction on Non-Preemptive Accelerators to Improve Utilization in Warehouse Scale Computers. International Conference on Architectural Support for Programming Languages and Operating Systems. 2017. Best Paper Nominee.
    #
    [ASPLOS'16] Quan Chen, Hailong Yang, Jason Mars, Lingjia Tang. Baymax: QoS Awareness and Increased Utilization of Non-Preemptive Accelerators in Warehouse Scale Computers. International Conference on Architectural Support for Programming Languages and Operating Systems. 2016. [PDF].
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    [ISCA'15] Johann Hauswald, Yiping Kang, Michael A. Laurenzano, Quan Chen, Cheng Li, Ron Dreslinski, Trevor Mudge, Jason Mars, Lingjia Tang. DjiNN and Tonic: DNN as a Service and Its Implications for Future Warehouse Scale Computers. International Symposium on Computer Architecture. 2015. [PDF].
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    [Report] Yan Cui, Quan Chen, Junfeng Yang. EOS : Automatic, In-vivo Evolution of Kernel Policies for Better Performance. arXiv preprint arXiv:1508.06356. 2015. [PDF].
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    [ICS'14] Quan Chen, Minyi Guo, Haibing Guan. LAWS: Locality-Aware Work-Stealing for Multi-socket Multi-core Architectures. International Conference on Supercomputing. (Acceptance rate: 21%) [PDF]. International Conference on Supercomputing, 2014.
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    [APDCM'14] Quan Chen, Long Zheng, Minyi Guo. EEWA: Energy-Efficient Workload-Aware Task Scheduling in Multi-core Architectures. 16th Workshop on Advances in Parallel and Distributed Computational Models (collocated with IPDPS). 2014. [PDF].
    #
    [PMAM'14] Quan Chen, Long Zheng, Minyi Guo. DWS: Demand-aware Work-Stealing in Multi-programmed Multi-core Architectures. International Workshop on Programming Models and Applications for Multicores and Manycores (collocated with PPoPP). 2014. [PDF].
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    [ICA3PP'13] Heng Chen, Yao Shen, Quan Chen, Minyi Guo. HMHS: Hybrid Multistage Heuristic Scheduling Algorithm for Heterogeneous MapReduce System. The 13th International Conference on Algorithms and Architectures for Parallel Processing. 2013. [PDF].
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    [PMAM'13] Zhenning Wang, Quan Chen, Long Zheng, Minyi Guo. CAP: Co-Scheduling Based on Asymptotic Profiling in CPU +GPU Hybrid Systems. International Workshop on Programming Models and Applications for Multicores and Manycores (collocated with PPoPP). 2013. [PDF].
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    [ICS'12] Quan Chen, Minyi Guo, Zhiyi Huang. CATS: Cache-Aware Task-stealing based on Online Profiling in Multi-socket Multi-core Architecture. International Conference on Supercomputing. (Acceptance rate: 22%)[PDF].
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    [IPDPS'12] Quan Chen, Yawen Chen, Zhiyi Huang, Minyi Guo. WATS: Workload-Aware Task Scheduling in Asymmetric Multi-core Architectures. IEEE International Parallel and Distributed Processing Symposium. (Acceptance rate: 20.7%) [PDF].
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    [ICPP'11] Quan Chen, Zhiyi Huang, Minyi Guo, Jingyu Zhou. CAB: Cache-Aware Bi-tier Task-stealing in Multi-socket Multi-core Architecture. IEEE International Conference on Parallel Processing. (Acceptance rate: 22.3%) [PDF].
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    [ScalCom'10] Quan Chen, Daqiang Zhang, Minyi Guo, Qianni Deng, Song Guo. SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment. IEEE International Conference on Scalable Computing and Communications. (Cited: >170) [PDF].

    部分期刊论文

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    [ACM TACO] Han Zhao, Quan Chen, Yuxian Qiu, Ming Wu, Yao Shen, Jingwen Leng, Chao Li, Minyi Guo. Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. ACM Transactions on Architecture and Code Optimization. 2018. (Invited to HiPEAC 2019)
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    [IEEE CAL] Wenyi Zhao, Quan Chen, Minyi Guo. KSM: Online Application-Level Performance Slowdown Prediction for Spatial Multitasking GPGPU. IEEE Computer Architecture Letters. 2018.
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    [IEEE TC] Quan Chen, Minyi Guo. Contention and Locality-Aware Work-Stealing for Iterative Applications in Multi-socket Computers. IEEE Transactions on Computers. 2018.
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    [IJPP] Xiangyu Ju, Quan Chen, Zhenning Wang, Minyi Guo, Guang R. Gao. DCF: A Dataflow-Based Collaborative Filtering Training Algorithm. International Journal on Parallel Processing. 2017.
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    [ACM TACO] Quan Chen, Minyi Guo. Locality-Aware Work-Stealing based on Online Profiling and Auto-Tuning for Multi-socket Multi-core Architectures. ACM Transactions on Architecture and Code Optimization. 2015. [PDF]
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    [CC-PE] Quan Chen, Long Zheng, Minyi Guo. Adaptive Demand-aware Work-Stealing in Multi-programmed Multi-core Architectures. Concurrency and Computation: Practice and Experience. 2015. [PDF]
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    [ACM TACO] Quan Chen, Minyi Guo. Adaptive Workload-Aware Task Scheduling for Single-ISA Asymmetric Multi-core Architectures. ACM Transactions on Architecture and Code Optimization. 2014. [PDF]
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    [Elsevier Parco] Zhenning Wang, Long Zheng, Quan Chen, Minyi Guo. CPU+GPU Scheduling With Asymptotic Profiling. Parallel Computing. 2014. [PDF]
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    [IEEE TETC] Daqiang Zhang, Ching-Hsien Hsu, Quan Chen, Jaime Lloret, Athanasios V. Vasilakos. Cold-start Recommendation Using Bi-clustering and Fusion For Social Recommender Systems. IEEE Transactions on Emerging Topics in Computing. 2013. [PDF].
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    [IEEE TPDS] Quan Chen, Minyi Guo, Zhiyi Huang. Adaptive Cache-Aware Bi-tier Task-stealing in Multi-socket Multi-core Architecture. IEEE Transactions on Parallel and Distributed Systems. 2013. [PDF].
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    [Springer JSC] Quan Chen, Minyi Guo, Qianni Deng, Song Guo, Long Zheng. HAT: History-based Auto-tuning MapReduce In Heterogeneous Environments. The Journal of Supercomputing, 2011. [PDF]
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    陈全, 邓倩妮: 云计算及其关键技术. 计算机应用, 2009. (Cited: >1100) [PDF].

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