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Special Session 2 - Reconfigurable Architecture for Future Intelligent Systems

  • Chair: Prof. Shunqing Zhang, Shanghai Institution for Advanced Communication and Data Science, Shanghai University, China
    Co-chair: Yadong (Bill) Yuan, Programmable Solutions Group, Intel Corporation, China

  • Shunqing Zhang -- Prof. Shunqing Zhang has more than 10 years’ experience of cutting-edge research in wireless communication. He has published more than 50 papers in IEEE top journals including IEEE Communication Surveys & Tutorials, IEEE Communications Magazines, IEEE Transactions on Communication, IEEE Transactions on Wireless Communications, as well as IEEE top conferences, such as ICC and Globecom. He has hold more than 40 US and Chinese patents, and been a principle investigator for National 863 Plan and National 973 Plan (A Class) projects as well as many joint collaborative research projects.
    Yadong (Bill) Yuan -- Bill is currently responsible for China University Program at Intel Programmable Solutions Group (“Intel PSG”, formerly Altera). During his earlier time at Altera, Bill served as applications engineer and later AE manager in the AP technical service group, where he provided customers and distributors with technical support on digital signal processing and embedded systems. Prior to join Altera, Bill was applications engineer at Cytech China where he was responsible for supporting and promoting Altera products, customer trainings etc. Bill received a Bachelor of Science in Electronic Instrumentation and Measurement Technology from University of Electronic Science and Technology of China in 1992.

  • With the rapid development of manufacturing technology for large-scale programmable or reconfigurable devices such as advanced field programmable gate arrays (FPGAs), the application specific design for future intelligent systems will no longer rely on the previous application specific integrated chips (ASIC) only and the state-of-the-art solutions will be able to deal with much more complicated signal processing requirement, such as artificial intelligence (AI) applications. Therefore, in this special session, we would like to explore the feasibility of using FPGA or other reconfigurable devices to handle more complicated computing tasks, include but not limited to the following topics:

    Topic：

    1. FPGA based reconfigurable AI accelerator;
    2. Systematic design for intelligent applications using FPGA based solution;
    3. FPGA-based low-power objective detection and analysis for automatic driving and computer vision;
    4. Reconfigurable architecture with FPGA verfication;
    5. FPGA based heterogeneous computing platform;