1. General Information

TheNational Engineering Research Center for Advanced Microprocessor Technology is led by Sugon Information Industry (Chengdu) Co., Ltd., in collaboration with the University of Electronic Science and Technology of China (UESTC), Chengdu Haiguang Integrated Circuit Design Co., Ltd., and the Institute of Computing Technology, Chinese Academy of Sciences. It is China’s first national engineering laboratory dedicated to advanced microprocessor technology and the only national-level scientific research and innovation platform whose core mission is the design and development of domestic microchips. Through the industry–academia–research collaborative innovation, the center undertakes key technological research for the microprocessor industry, develops and standardizes critical technical specifications, and cultivates urgently needed technological innovation talent. Its work addresses fundamental gaps in China’s central processor domain and provides essential support for breakthroughs in the nation’s electronic information industry and microprocessor technologies.

2. Research Directions

By leveraging multi-dimensional co-design across AI algorithms, architecture, and circuits, the center investigates ultra–low-power edge AI processors for intelligent sensing applications in the Internet of Things (including visual sensing, acoustic sensing, wearable devices, and electromagnetic perception). The goal is to simultaneously achieve high accuracy and real-time performance, enabling intelligent, energy-efficient, and miniaturized AI solutions for next-generation sensing terminals.

3. Research Achievements

[1] Developed an ultra–low-power, reconfigurable biomedical AI processor with on-chip online learning for wearable intelligent health-monitoring devices. The research was published at the 2021 IEEE International Solid-State Circuits Conference (ISSCC), a leading conference in integrated circuit (IC) design.

[2] Developed an ultra–low-power EEG monitoring AI processor, with the research published at the 2024 IEEE International Solid-State Circuits Conference (ISSCC) and selected as an ISSCC 2024 Highlight Paper.

[3] Developed a high-energy-efficient scalable neuromorphic-computing AI processor. The research was published at the 2024 International Symposium on High Performance Computer Architecture (HPCA), a leading conference in computer architecture.

[4] Developed an energy-efficient neuromorphic intelligent chip featuring unified learning and inference. The related research was published at the 2024 IEEE/JSAP Symposium on VLSI Technology & Circuits (VLSI), a leading conference in IC design.