中科院团队自研大模型，自动设计超强芯片

Core Viewpoint - The article discusses the development of QiMeng, an innovative system for fully automated hardware and software design of processor chips, addressing the challenges faced in traditional design paradigms due to advancements in information technology and the limitations of existing methods [1][5][18]. Group 1: Challenges in Processor Chip Design - Traditional design paradigms face three fundamental limitations: constraints of manufacturing technology, limited design resources, and the increasing diversity of ecosystems [4][5]. - The physical limits of semiconductor manufacturing processes, particularly below 7nm, pose significant challenges, necessitating innovative design methods [4][5]. - The traditional design process is labor-intensive and requires extensive expertise, leading to prolonged development cycles and high costs [5][6]. Group 2: Automation in Processor Chip Design - Automated processor chip design aims to streamline the entire design and verification process, leveraging artificial intelligence to enhance performance while reducing manual intervention [5][6]. - The latest breakthroughs in large language models (LLMs) and multi-agent systems create new opportunities for fully automated processor chip design [6][18]. - QiMeng is structured in three layers: a large processor chip model (LPCM) at the base, hardware and software design agents in the middle, and various design applications at the top [10][18]. Group 3: QiMeng System Components - LPCM is designed to address key challenges such as knowledge representation gaps, data scarcity, correctness guarantees, and enormous solution spaces [10][25]. - The hardware design agent employs a dual feedback mechanism to achieve end-to-end automation from functional specifications to physical layout [11][43]. - The software design agent focuses on adapting and optimizing foundational software to meet the diverse needs of modern applications [47][49]. Group 4: Future Directions - Future research will focus on integrating all components of QiMeng and executing iterative design processes to enhance its capabilities [2][22]. - The development roadmap includes a three-phase approach: top-down application implementation, bottom-up agent reconstruction, and iterative cycles combining both methods [20][21][22]. - Current work has successfully achieved significant milestones in automated front-end design and software optimization, laying a solid foundation for the complete realization of QiMeng [22][54].