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Data-Driven Automated Processor Design.

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Title: Data-Driven Automated Processor Design.
Authors: Guan, Xiang-Tao1,2 (AUTHOR) guanxt@mail.ustc.edu.cn, Cheng, Shu-Yao2 (AUTHOR) chengshuyao@ict.ac.cn, Zou, Mo2 (AUTHOR) zoumo@ict.ac.cn, Zhang, Rui2 (AUTHOR) zhangrui@ict.ac.cn, Chen, Yun-Ji2,3 (AUTHOR) cyj@ict.ac.cn
Source: Journal of Computer Science & Technology (10009000). Jan2026, Vol. 41 Issue 1, p103-113. 11p.
Subjects: Microprocessor design & construction, High performance processors, Parallel processing, Computers
Abstract: 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 99.999 999 999 99% 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Data-Driven Automated Processor Design.
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  Data: <searchLink fieldCode="AR" term="%22Guan%2C+Xiang-Tao%22">Guan, Xiang-Tao</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> guanxt@mail.ustc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Shu-Yao%22">Cheng, Shu-Yao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> chengshuyao@ict.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Zou%2C+Mo%22">Zou, Mo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zoumo@ict.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Rui%22">Zhang, Rui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zhangrui@ict.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Yun-Ji%22">Chen, Yun-Ji</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> cyj@ict.ac.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer+Science+%26+Technology+%2810009000%29%22">Journal of Computer Science & Technology (10009000)</searchLink>. Jan2026, Vol. 41 Issue 1, p103-113. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Microprocessor+design+%26+construction%22">Microprocessor design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+processors%22">High performance processors</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+processing%22">Parallel processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink>
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  Data: 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 99.999 999 999 99% 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Computer Science & Technology (10009000) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11390-026-6043-x
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        Text: English
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        Type: general
      – SubjectFull: High performance processors
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      – SubjectFull: Parallel processing
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              Text: Jan2026
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