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Dr. Quan Chen ( 陈 全 ) | |
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Professor |
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Tel: Office: Address: Email: |
+86-21-34207239 Room 3-522, SEIEE Building No. 800, Dongchuan Road, Shanghai, China, 200240 chen-quan [AT] sjtu [DOT] edu [DOT] cn |
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Index
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 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
2021.08 -- NOW, Professor, Department of Computer Science, Shanghai Jiao Tong University
2016.07 -- 2021.07, 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
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| 2 |
Member, Key Propram of National Natural Science Foundation of China, 2017 ~ 2021, Grant No. 61632017
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| 3 |
Member, National Program on Key Basic Research Project of China (973 Program), 2015~2019, Grant No. 2015CB352400
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| 3 |
Member, National Research and Development Program of China, 2018~2021, Grant No. 2018YFB1004802
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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.
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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.
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Selected Conference Papers
| # | [ASPLOS'24] Zijun Li, Chuhao Xu, Quan Chen, Jieru Zhao, Chen Chen, Minyi Guo. DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration. Conference on Architectural Support for Programming Languages and Operating Systems. 2024 |
| # | [ASPLOS'23] Teng Ma, Shanpei Chen, Yihao Wu, Erwei Deng, Zhuo Song, Quan Chen, Minyi Guo. Efficient Scheduler Live Update for Linux Kernel with Modularization. Conference on Architectural Support for Programming Languages and Operating Systems. 2023 |
| # | [SC'23] Kaihua Fu, Quan Chen, Yuzhuo Yang, Jiuchen Shi, Chao Li, Minyi Guo. BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training. International Conference for High Performance Computing, Networking, Storage, and Analysis. 2023 |
| # | [ATC'23] Jiuchen Shi, Hang Zhang, Zhixin Tong, Quan Chen, Kaihua Fu, Minyi Guo. Nodens: Enabling Resource Efficient and Fast QoS Recovery of Dynamic Microservice Applications in Datacenters. Usenix Annual Technical Conference. 2023 |
| # | [OSDI'23] Weihao Cui, Zhenhua Han, Lingji Ouyang, Yichuan Wang, Ningxin Zheng, Lingxiao Ma, Yuqing Yang, Fan Yang, Jilong Xue, Lili Qiu, Lidong Zhou, Quan Chen, Haisheng Tan, Minyi Guo. Optimizing Dynamic Neural Networks with Brainstorm. USENIX Symposium on Operating Systems Design and Implementation. 2023 |
| # | [VLDB'23] Pu Pang, Gang Deng, Kaihao Bai, Quan Chen, Shixuan Sun, Bo Liu, Yu Xu, Hongbo Yao, Zhengheng Wang, Zheng Liu, Zhuo Song, Yong Yang, Tao Ma, Minyi Guo. Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level. International Conference on Very Large Data Bases. 2023 |
| # | [ICS'23] Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo. PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. International Conference on Supercomputing. 2023 |
| # | [SoCC'22] Jiuchen Shi, Kaihua Fu, Quan Chen, Changpeng Yang, Pengfei Huang, Mosong Zhou, Jieru Zhao, Chen Chen, Minyi Guo. Characterizing and Orchestrating VM Reservation in Geo-distributed Clouds to Improve the Resource Efficiency. Symposium on Cloud Computing. 2022 |
| # | [SC'22] Kaihua Fu, Jiuchen Shi, Quan Chen, Wei Zhang, Ningxin Zheng, Deze Zeng, Minyi Guo. QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services. SC. 2022 |
| # | [ATC'22] Weihao Cui, Han Zhao, Quan Chen, Hao Wei, Zirui Li, Deze Zeng, Chao Li, Minyi Guo. DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs. Usenix Annual Technical Conference. 2022 |
| # | [ATC'22] Wei Zhang, Binghao Chen, Zhenhua Han, Quan Chen, Peng Cheng, Fan Yang, Ran Shu, Yuqing Yang, Minyi Guo. PilotFish: Harvesting Free Cycles of Cloud Gaming with Deep Learning Training. Usenix Annual Technical Conference. 2022 |
| # | [ATC'22] Zijun Li, Jiagan Cheng, Quan Chen, Eryu Guan, Zizheng Bian, Yi Tao, Bin Zha, QiangWang, Weidong Han, Minyi Guo. RunD: A Lightweight Secure Container Runtime for High-density Deployment and High-concurrency Startup in Serverless Computing. Usenix Annual Technical Conference. 2022 |
| # | [ATC'22] Zijun Li, Linsong Guo, Quan Chen, Jiagan Cheng, Chuhao Xu, Deze Zeng, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo. Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing. Usenix Annual Technical Conference. 2022 |
| # | [ICS'22] Shulai Zhang, Weihao Cui, Quan Chen, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo. PAME: Precision-Aware Multi-Exit DNN Serving for Reducing Latencies of Batched Inferences. International Conference on Supercomputing. 2022 |
| # | [IPDPS'22] Haowei Huang, Pu Pang, Quan Chen, Jieru Zhao, Wenli Zheng, Minyi Guo. CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds. International Parallel and Distributed Processing Symposium. 2022 |
| # | [IPDPS'22] Jiuchen Shi, Kaihua Fu, Jiawen Wang, Quan Chen, Deze Zeng, Minyi Guo. QoS-awareness of Microservices with Excessive Loads via Inter-Datacenter Scheduling. International Parallel and Distributed Processing Symposium. 2022 |
| # | [IPDPS'22] Xinkai Wang, Chao Li, Lu Zhang, Xiaofeng Hou, Quan Chen, Minyi Guo. Enabling Efficient Request Management through Microservice Level Parallelism. International Parallel and Distributed Processing Symposium. 2022 |
| # | [ASPLOS'22] Zijun Li, Yushi Liu, Lingsong Guo, Quan Chen, Jiagan Cheng, Wenli Zheng, Minyi Guo. FaaSFlow: Enable Efficient Workflow Execution for Function-as-a-Service. Conference on Architectural Support for Programming Languages and Operating Systems. 2022 |
| # | [ASPLOS'22] Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo. Astraea: Towards QoS-Aware and Resource-Efficient Multi-stage GPU Services. Conference on Architectural Support for Programming Languages and Operating Systems. 2022 |
| # | [ASPLOS'22] Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo. VELTAIR: Towards High-Performance Multi-Tenant Deep Learning Services via Adaptive Compilation and Scheduling. Conference on Architectural Support for Programming Languages and Operating Systems. 2022 |
| # | [HPCA'22] Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo. Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. International Symposium on High-Performance Computer Architecture. 2021 |
| # | [ICCD'21] Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo. Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. International Conference on Computer Design. 2021 |
| # | [ICCD'21] Wei Zhang, Kaihua Fu, Ningxin Zheng, Quan Chen, Chao Li, Wenli Zheng, Minyi Guo. CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters. International Conference on Computer Design. 2021. |
| # | [SoCC'21] Yuepeng Li, Deze Zeng, Lin Gu, Quan Chen, Song Guo, Albert Zomaya, Minyi Guo. Lasagna: Accelerating Secure Deep Learning Inference in SGX-enabled Edge Cloud. ACM Symposium on Cloud Computing. 2021. |
| # | [SC'21] Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Chao Li, Minyi Guo. Enable Simultaneous DNN Services Based on Deterministic Operator Overlap and Precise Latency Prediction. SC. 2021. |
| # | [ICPP'21] Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo. Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. ICPP. 2021. |
| # | [IWQoS'21] Andong Zhu, Deze Zeng, Lin Gu, Peng Li, Quan Chen. Gost: Enabling Efficient Spatio-Temporal GPU Sharing for Network Function Virtualization. IWQoS. 2021 |
| # | [IPDPS'21] Kaihua Fu, Wei Zhang, Quan Chen, Deze Zeng, Xin Peng, Wenli Zheng, Minyi Guo. QoS-Aware and Resource Efficient Microservice Deployment in Cloud-Edge Continuum. IPDPS. 2021. |
| # | [IPDPS'21] Qiming Zheng, Quan Chen, Kaihao Bai, Huifeng Guo, Yong Gao, Xiuqiang He, Minyi Guo. BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. IPDPS. 2021. |
| # | [ICPADS'20] Yuepeng Li, Deze Zeng, Lin Gu, Andong Zhu, Quan Chen. Task Offloading in Trusted Execution Environment Empowered Edge Computing. ICPADS. 2020.(Best Paper Award) |
| # | [SC'20] Quan Chen, Shuai Xue, Shang Zhao, Shanpei Chen, Yihao Wu, Yu Xu, Zhuo Song, Tao Ma, Yong Yang, Minyi Guo. Alita: Comprehensive Performance Isolation through Bias Resource Management for Public Clouds. SC. 2020. |
| # | [ATC'20] Shuai Xue, Shang Zhao, Quan Chen, Gang Deng, Zheng Liu, Jie Zhang, Zhuo Song, Tao Ma, Yong Yang, Yanbo Zhou, Keqiang Niu, Sijie Sun, Minyi Guo. Spool: Reliable Virtualized NVMe Storage Pool in Public Cloud Infrastructure. USENIX Annual Technical Conference. 2020. |
| # | [ICPP'20] Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo. URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. International Conference on Parallel Processing. 2020. |
| # | [ICPP'20] Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo. OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment. International Conference on Parallel Processing. 2020. |
| # | [ICDCS'20] Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo. CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. IEEE International Conference on Distributed Computing Systems. 2020. |
| # | [IPDPS'20] Zijun Li, Quan Chen, Shuai Xue, Tao Ma, Yong Yang, Zhuo Song, Minyi Guo. Amoeba: QoS-Awareness and Reduced Resource Usage of Microservices with Serverless Computing. IEEE International Parallel and Distributed Processing Symposium. 2020. |
| # | [IPDPS'20] Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo. Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. IEEE International Parallel and Distributed Processing Symposium. 2020. |
| # | [HPCA'20] Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran Monfort, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi. Task-level Idempotency for Mitigating Soft Errors and Voltage Noise in Accelerator-based Systems. IEEE International Conference on High Performance Computer Architecture. 2020. |
| # | [ICCD'19] Weihao Cui, Mengze Wei, Quan Chen, Xiaoxin Tang, Jingwen Leng, Li Li, Minyi Guo. Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. IEEE International Conference on Computer Design. 2019. |
| # | [PACT'19 poster] Ningxin Zheng, Quan Chen, Yong Yang, Jin Li, Wenli Zheng, Minyi Guo. Precise Capacity Planning for Database Public Clouds. International Conference on Parallel Architectures and Compilation Techniques. 2019. |
| # | [ICS'19] Quan Chen, Zhenning Wang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo. Avalon: Towards QoS Awareness and Improved Utilization through Multi-Resource Management in Datacenters. ACM International Conference on Supercomputing. 2019. |
| # | [ICS'19] Wei Zhang, Weihao Cui, Kaihua Fu, Quan Chen, Daniel Mawhirter, Bo Wu, Chao Li, Minyi Guo. Laius: Towards Latency Awareness and Improved Utilization of Spatial Multitasking Accelerators in Datacenters. ACM International Conference on Supercomputing. 2019. |
| # | [ICPP'19] Xiaofeng Hou, Mingyu Liang, Chao Li, Wenli Zheng, Quan Chen, Minyi Guo. When Power Oversubscription Meets Traffic Flood Attack: Re-thinking Data Center Peak Load Management. IEEE International Conference on Parallel Processing. 2019. |
| # | [IWQoS'19] Lu Zhang, Chao Li, Pengyu Wang, Yunxin Liu, Yang Hu, Quan Chen, Minyi Guo. Characterizing and Orchestrating NFV-Ready Servers for Efficient Edge Data Processing. IEEE/ACM International Symposium on Quality of Service. 2019. |
| # | [IPDPS'19] Wenyi Zhao, Quan Chen, Hao Lin, Jianfeng Zhang, Jingwen Leng, Chao Li, Wenli Zheng, Li Li, Minyi Guo. Themis: Predicting and Reining in Application-level Slowdown on Spatial Multitasking GPUs. IEEE International Parallel and Distributed Processing Symposium. 2019. (Featured paper, 18 out of the 103 accepted papers (Invited to the IPDPS 19 special issues of JPDC)) |
| # | [CVPR'19] Yuxian Qiu, Jingwen Leng, Chao Li, Quan Chen, Yuhao Zhu, Minyi Guo, Adversarial Defense Through Network Profiling Based Path Extraction. IEEE Computer Vision and Pattern Recognition. 2019. |
| # | [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. |
| # | [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. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [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. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [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: >200) [PDF]. |
Selected Journal Papers
| # | [IEEE TC] Han Zhao, Weihao Cui, Quan Chen, Minyi Guo. ISPA: Exploiting Intra-SM Parallelism in GPUs via Fine-grained Resource Management. IEEE Transactions on Computers, 2022. (Accepted) |
| # | [IEEE TPDS] Guangqiang Luan, Pu Pang, Quan Chen, Shuai Xue, Zhuo Song, Minyi Guo. Online Thread Auto-Tuning for Performance Improvement and Resource Saving. IEEE Transactions on Parallel and Distributed Systems, 2022. (Accepted) |
| # | [ACM CSUR] Zijun Li, Linsong Guo, Jiagan Cheng, Quan Chen, Bingsheng He, Minyi Guo. The Serverless Computing Survey: A Technical Primer for Design Architecture. ACM Computing Surveys, 2022. |
| # | [IEEE TC] Wei Zhang, Quan Chen, Ningxin Zheng, Weihao Cui, Kaihua Fu, Minyi Guo. Towards QoS-awareness and Improved Utilization of Spatial Multitasking GPUs. IEEE Transactions on Computers, 2021. |
| # | [IEEE TPDS] Weihao Cui, Quan Chen, Han Zhao, Mengze Wei, Xiaoxin Tang, Minyi Guo. E2bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. IEEE Transactions on Parallel and Distributed Systems, 2021. |
| # | [IEEE TPDS] Pu Pang, Quan Chen, Deze Zeng, Minyi Guo. Adaptive Preference-aware Co-location for Improving Resource Utilization of Power Constrained Datacenters. IEEE Transactions on Parallel and Distributed Systems, 2020. |
| # | [JPDC] Mengze Wei, Wenyi Zhao, Quan Chen, Hao Dai, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo. Predicting and Reining in Application-level Slowdown on Spatial Multitasking GPUs. Journal of Parallel and Distributed Computing, 2020. |
| # | [IEEE TC] Yuhai Cao，Chao Li，Jin Wang，Weigong Zhang，Quan Chen，Jingwen Leng，Bin Yao，Yao Shen，Minyi Guo. DR Refresh: Releasing DRAM Potential by Enabling Read Accesses under Refresh. IEEE Transactions on Computers. 2019. |
| # | [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) |
| # | [IEEE CAL] Wenyi Zhao, Quan Chen, Minyi Guo. KSM: Online Application-Level Performance Slowdown Prediction for Spatial Multitasking GPGPU. IEEE Computer Architecture Letters. 2018. |
| # | [IEEE TC] Quan Chen, Minyi Guo. Contention and Locality-Aware Work-Stealing for Iterative Applications in Multi-socket Computers. IEEE Transactions on Computers. 2018. |
| # | [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. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | [Elsevier Parco] Zhenning Wang, Long Zheng, Quan Chen, Minyi Guo. CPU+GPU Scheduling With Asymptotic Profiling. Parallel Computing. 2014. [PDF]. |
| # | [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]. |
| # | [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]. |
| # | [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]. |
| # | 陈全, 邓倩妮: 云计算及其关键技术. 计算机应用, 2009. (Cited: >1100) [PDF]. |