Dr. Quan Chen ( 陈 全 )

Tenure-Track Associate Professor
Department of Computer Science and Engineering
Shanghai Jiao Tong University

Tel:
Office:
Address:
Email:
+86-21-34207239
Room 3-522, SEIEE Building
No. 800, Dongchuan Road, Shanghai, China, 200240

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

Index

 
  • Research Interest
  • Research Projects
  •  
  • About Me
  • Main Awards
  •  
  • Education Background
  • Recent Publications
  •  
  • Career
  • Teaching
  • Research Interest

    High performance computing, Parallel processing, Scheduling in various architectures;
    Distributed System, Runtime System, Operating System;
    Resource management in Datacenter.

    About Me

    I am now a tenure-track research professor in the Department of Computer Science and Engineering,Shanghai Jiao Tong University, China. My research interests include High performance computing, Task Scheduling in various architectures, Resource management in Datacenter, Runtime System and Operating System.I got my Ph.D degree at June 2014 from the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China.

    I am now looking for perspective Ph.D students and Master Students. If you are interested in Parallel Computing, Datacenter, Computer System, or Big Data, we should talk.

    Education Background

    2013.11 -- 2014.09,    Staff Associate in the Department of Computer Science, Columbia University
    2009.09 -- 2014.06,    Ph.D Candidate in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
    2011.03 -- 2011.11,    Assistant Research Fellow in the Department of Computer Science, University of Otago, New Zealand
    2010.06 -- 2010.11,    Visiting Scholar in the Department of Computer Science, University of Otago, New Zealand
    2007.09 -- 2009.07,    Master in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
    2003.09 -- 2007.07,    Bachelor in the Department of Computer Science and Technology, Tongji University, China

    Career

    2016.7 -- NOW,    Tenure-Track Associate Professor, Department of Computer Science, Shanghai Jiao Tong University
    2014.10 -- 2016.04,    Postdoctoral research fellow, Department of Computer Science, University of Michigan - Ann Arbor, US
    2014.07 -- 2016.06,    Oversea postdoctoral research fellow, School of Software, Shanghai Jiao Tong University University, China

    Research Projects

    1
    PI, National Natural Science Foundation of China, 2017 ~ 2019, Grant No. 61602301
    2
    Member, Key Propram of National Natural Science Foundation of China, 2017 ~ 2021, Grant No. 61632017
    3
    Member, National Program on Key Basic Research Project (973 Program), 2015~2019, Grant No. 2015CB352400

    Main Awards

    2011 -- 2012     IBM Ph.D fellowship awards
    2012 -- 2013     CSC-IBM China Excellent Student Scholarship
    2014         Outstanding Graduates of SJTU
    2015         CCF (China Computer Federation) Outstanding Doctoral Dissertation Award
    2016         Shanghai Outstanding Doctoral Dissertation Award
    2017         IEEE TCSC Award for Excellence (Early Career Researcher)
    2017         Natural Science Award of Ministry of Education, China (The first prize, Ranking: 3/3)

    Teaching

    Spring Semester     Linux Kernel, Course site: http://cc.sjtu.edu.cn/G2S/site/cs353.html
    Spring Semester     Parallel Programing
    Autumn Semester     Advanced Computer Architecture

    Recent Publications

    Monograph

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

    Magazine papers

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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.

    Selected Conference Papers

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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.
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    [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.
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    [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.
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    [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].
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    [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: 131) [PDF].

    Selected Journal Papers

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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. Accepted
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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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    Quan Chen, Qianni Deng: Cloud Computing and its key technologies. Journal of Computer Applications, 2009. (In Chinese, Cited: >1000) [PDF].

    Links