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Chip design with machine learning: a survey from algorithm perspective

文献类型：期刊论文

作者He, Wenkai1,2,3; Li, Xiaqing1; Song, Xinkai1,3; Hao, Yifan1,3; Zhang, Rui1,3; Du, Zidong1; Chen, Yunji1,2
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2023-11-01
卷号66期号:11页码:31
关键词chip design machine learning chip design automation design result estimation design optimization and correction design construction
ISSN号1674-733X
DOI10.1007/s11432-022-3772-8
英文摘要Chip design with machine learning (ML) has been widely explored to achieve better designs, lower runtime costs, and no human-in-the-loop process. However, with tons of work, there is a lack of clear links between the ML algorithms and the target problems, causing a huge gap in understanding the potential and possibility of ML in future chip design. This paper comprehensively surveys existing studies in chip design with ML from an algorithm perspective. To achieve this goal, we first propose a novel and systematical taxonomy that divides target problems in chip design into three categories. Then, to solve the target problems with ML algorithms, we formulate the three categories as three ML problems correspondingly. Based on the taxonomy, we conduct a comprehensive survey in terms of target problems based on different ML algorithms. Finally, we conclude three key challenges for existing studies and highlight several insights for the future development of chip design with machine learning. By constructing a clear link between chip design problems and ML solutions, we hope the survey can shed light on the road to chip design intelligence from previous chip design automation.
资助项目This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61925208, 62222214, 62102399, U22A2028, U19B2019), Beijing Academy of Artificial Intelligence (BAAI), CAS Project for Young Scientists in Basic Research (Grant No[61925208] ; This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61925208, 62222214, 62102399, U22A2028, U19B2019), Beijing Academy of Artificial Intelligence (BAAI), CAS Project for Young Scientists in Basic Research (Grant No[62222214] ; This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61925208, 62222214, 62102399, U22A2028, U19B2019), Beijing Academy of Artificial Intelligence (BAAI), CAS Project for Young Scientists in Basic Research (Grant No[62102399] ; This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61925208, 62222214, 62102399, U22A2028, U19B2019), Beijing Academy of Artificial Intelligence (BAAI), CAS Project for Young Scientists in Basic Research (Grant No[U22A2028] ; This work was partially supported by National Natural Science Foundation of China (Grant Nos. 61925208, 62222214, 62102399, U22A2028, U19B2019), Beijing Academy of Artificial Intelligence (BAAI), CAS Project for Young Scientists in Basic Research (Grant No[U19B2019] ; National Natural Science Foundation of China[YSBR-029] ; CAS Project for Young Scientists in Basic Research ; Youth Innovation Promotion Association CAS and Xplore Prize
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001090428200002
出版者SCIENCE PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/21093]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Chen, Yunji
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processor, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Cambricon Technol, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714		 He, Wenkai,Li, Xiaqing,Song, Xinkai,et al. Chip design with machine learning: a survey from algorithm perspective[J]. SCIENCE CHINA-INFORMATION SCIENCES,2023,66(11):31.
APA He, Wenkai.,Li, Xiaqing.,Song, Xinkai.,Hao, Yifan.,Zhang, Rui.,...&Chen, Yunji.(2023).Chip design with machine learning: a survey from algorithm perspective.SCIENCE CHINA-INFORMATION SCIENCES,66(11),31.
MLA He, Wenkai,et al."Chip design with machine learning: a survey from algorithm perspective".SCIENCE CHINA-INFORMATION SCIENCES 66.11(2023):31.

入库方式： OAI收割

来源：计算技术研究所

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