J* E* C* N* U* N* S* ›› 2025, Vol. 2025 ›› Issue (5): 162-169.doi: 10.3969/j.issn.1000-5641.2025.05.015

• Open Source Ecosystem: Development and Governance • Previous Articles    

Open source hardware: Driving force and future trends for the new industrial revolution

Menghan HU1(), Wenjing CHENG1, Xiang DAI2, Yiqing LIU1,*()   

  1. 1. School of Communication and Electronic Engineering, East China Normal University, Shanghai 200062, China
    2. Software and Advanced Technology Group, Intel Asia Pacific Development Co. Ltd., Shanghai 200240, China
  • Received:2024-12-25 Online:2025-09-25 Published:2025-09-25
  • Contact: Yiqing LIU E-mail:mhhu@cee.ecnu.edu.cn;yqliu@cee.ecnu.edu.cn

Abstract:

In the context of the new industrial revolution, with increasing computational complexity and intensified demand for customization, open source hardware has emerged as a key approach to overcome the limitations of closed architectures and enhance technological autonomy. This study focused on the Reduced Instruction Set Computer-Five(RISC-Ⅴ)open instruction set architecture and systematically reviewed its ecosystem advantages and industrial value. It compared major domestic and international open source projects in terms of design openness, system flexibility, and collaborative innovation mechanisms. From a temporal perspective, this study analyzed the development trend of open source hardware, evolving from low-level architectural innovation to heterogeneous integration and scenario-based expansion. The findings indicated that open source hardware had broad application prospects in critical areas such as intelligent manufacturing, edge computing, and immersive terminals. This could significantly improve computational efficiency and reduce development complexity and system costs. Open source hardware drives the chip design from a closed paradigm toward a shared model, offering new support for industrial intelligence upgrades and strategic technology security.

Key words: open source hardware, RISC-Ⅴ instruction set, heterogeneous computing architecture, computing power, new industrial revolution

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