QiMeng: Fully Automated Hardware and Software Design for Processor Chip
Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen

TL;DR
QiMeng is a novel system that leverages domain-specific large language models to fully automate the hardware and software design of processor chips, addressing key challenges in modern chip development.
Contribution
The paper introduces QiMeng, a hierarchical system with a specialized large processor chip model and design agents, enabling fully automated chip design processes.
Findings
Successfully applied components in top-layer applications
Demonstrated advantages in automated hardware/software design
Addresses knowledge gap and data scarcity challenges
Abstract
Processor chip design technology serves as a key frontier driving breakthroughs in computer science and related fields. With the rapid advancement of information technology, conventional design paradigms face three major challenges: the physical constraints of fabrication technologies, the escalating demands for design resources, and the increasing diversity of ecosystems. Automated processor chip design has emerged as a transformative solution to address these challenges. While recent breakthroughs in Artificial Intelligence (AI), particularly Large Language Models (LLMs) techniques, have opened new possibilities for fully automated processor chip design, substantial challenges remain in establishing domain-specific LLMs for processor chip design. In this paper, we propose QiMeng, a novel system for fully automated hardware and software design of processor chips. QiMeng comprises…
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Taxonomy
TopicsEmbedded Systems Design Techniques · Parallel Computing and Optimization Techniques · Big Data and Digital Economy
MethodsFocus
