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Information
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Intelligence
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Electron
TAN Yiyu Associate Professor
Course
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Faculty
Computer and Information Science
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Master's Program
Computer Science and Intelligent Systems
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Doctoral Program
Systems Innovation Engineering
Degrees Obtained
Fields of Research
- Computer Engineering
- Reconfigurable Computing
Profile
Research Themes
Research and development of FPGA-based acceleration system
In the post-Moore era, traditional computing systems have met a bottleneck for performance improvement. In our laboratory, we mainly focus on the investigation of FPGA-based acceleration systems, and develop dedicated accelerators for AI, high-performance computing, and real-time sound-field auralization, and so on. In addition, we also conduct research on specialized hardware architectures and parallel algorithms for these applications.
Teaching Philosophy
We aim to develop human resources who can take a leading role in the design and development of new computing systems and applications in various fields by fully utilizing the parallel processing techniques and methods they have acquired.