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Master advisors


Zhilei Chai

Associate Professor

Department of Computer Science and Technology


Education Background

Bachelor of Computer Science, Jiangsu University of Science and Technology, Zhenjiang, China, 1998;

Master of Computer Science, Jiangnan University, Wuxi, China, 2003;

Ph.D. in Computer Architecture, Fudan University, Shanghai, China, 2006.

Social service

Member of Specialized Committee of Computer Architecture, CCF

Member of Specialized Committee of Embedded Systems, CCF

Areas of Research Interests/ Research Projects

Computer Architecture

FPGA-based Heterogeneous/Reconfigurable Computing.

Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced ComputingResearch of FPGA-based dynamically reconfigurable computing architecture(2017-2019).

Research Status

My research interest is improving computing efficiency of the special algorithms (e.g., computer vision, machine learning) based on computer architecture, especially FPGA-based heterogeneous or reconfigurable computing systems investigation.  

As introduced, reconfigurable computing is a computer architecture combining some of the flexibility of software with the high performance of hardware by processing with very flexible high speed computing fabrics like field-programmable gate arrays (FPGAs). The principal difference when compared to using ordinary microprocessors is the ability to make substantial changes to the datapath itself in addition to the control flow. On the other hand, the main difference from custom hardware, i.e. application-specific integrated circuits (ASICs) is the possibility to adapt the hardware during runtime by "loading" a new circuit on the reconfigurable fabric.

Currently, we are focusing on how to improve programmability of FPGA-based computing system. We proposed an FPGA operating system to release application programmers from hardware details. It aims to help application developers even software programmers to use FPGAs to build the required high-efficiency computing systems.

Academic Achievement

l W. Chen, Z. Wang, Q. Wu, J. Liang, and Z. Chai(*), "Implementing Dense Optical Flow Computation on a Heterogeneous FPGA SoC in C," ACM Trans. Archit. Code Optim(ACM TACO), vol. 13, pp. 25:1--25:25, 2016.

l W. Chen, S. Ding, Z. Chai(*), D. He, W. Zhang, G. Zhang, Q. Peng, and W. Luo, "FPGA-Based Parallel Implementation of SURF Algorithm," in 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016, pp. 308-315.

l W. Chen, J. Yu, W. Zhang, L. Jiang, G. Zhang, and Z. Chai(*), "Parallel Implementation of Dense Optical Flow Computation on Many-Core Processor," Lecture Notes in Computer Science, vol. 9528, pp. 119-132, 2015.

l Zhilei Chai, Jin Yu, Zhibin Wang, Jie Zhang and Haojie Zhou, An Embedded FPGA Operating System Optimized for Vision Computing, 23rd ACM/SIGDA International Symposium of Field-Programmable Gate Arrays (FPGA 2015), poster, Monterey, CA, USA.

l Zhilei Chai, Xinglong Shao, Yuanpu Zhang, Wenmin Yang and Qin Wu, Accelerating Image Boundary Detection by Hardware Parallelism, Microprocessors and Microsystems, 38 (2014) pp. 458–469.

l Zhilei Chai, Zhibin Wang, Wenmin Yang, Shuai Ding and Yuanpu Zhang, OpenHEC: a Framework for Application Programmers to Design FPGA-based Systems, Proceedings of the First International Workshop on FPGAs for Software Programmers (FSP 2014) collocated with FPL 2014, Munich, Germany.

l Zhilei Chai, Haojie Zhou, Zhibin Wang and Dong Wu, Using C to Implement High-efficient Computation of Dense Optical Flow on FPGA-accelerated Heterogeneous Platforms, 2014 International Conference on Field-programmable Technology, Dec. 10-12 2014, (FPT2014), pp. 260-263, Shanghai, China.

l Zhilei Chai, Jianbo Shi, Improving KLT in embedded systems by processing oversampling video sequence in real-time, International Conference on Reconfigurable Computing and FPGAs (Reconfig2011), pp. 297-302, Cancun, Mexico.

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