Data-Driven Automated Processor DesignOA
Fully automated processor design has recently gained significant popularity due to its fast convergence speed and reduced human costs.However,automated design remains challenging in processor correctness and performance guarantee.In this article,we introduce a series of processor auto-design methods based on a data-driven method,Binary Speculative Diagram(BSD),emphasizing how they guarantee design correctness and improve the auto-designed processor performance.Auto-designed by BSD,QiMeng-CPU-v1,an industrial-scale RISC-V CPU,achieves up to 99.99999999999%accuracy.Auto-designed by State-BSD,QiMeng-CPU-v2 is comparable to ARM Cortex A53(2010s CPU),a human-designed superscalar processor.Finally,we discuss potential future directions for extending and improving the proposed design methods toward more generalized automated processor architectures.
Xiang-Tao Guan;Shu-Yao Cheng;Mo Zou;Rui Zhang;Yun-Ji Chen
School of Computer Science and Technology,University of Science and Technology of China,Hefei 230027,China State Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,ChinaState Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,ChinaState Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,ChinaState Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,ChinaState Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China University of Chinese Academy of Sciences,Beijing 100049,China
信息技术与安全科学
automated processor designdata-driven designbinary speculative diagram
《Journal of Computer Science & Technology》 2026 (1)
P.103-113,11
supported by the National Natural Science Foundation of China under Grant No.62525203the Strategic Priority Research Program of the Chinese Academy of Sciences(CAS)under Grant Nos.XDB0660200,XDB0660201,and XDB0660202the CAS Project for Young Scientists in Basic Research under Grant No.YSBR-029the Youth Innovation Promotion Association CAS.
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