Accelerating Chip Design with Machine Learning

被引:5
|
作者
Khailany, Brucek [1 ]
机构
[1] NVIDIA, Austin, TX 78717 USA
关键词
Design Methodology; Machine Learning; VLSI;
D O I
10.1145/3380446.3430690
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
引用
收藏
页码:33 / 33
页数:1
相关论文
共 50 条
  • [11] Chip design with machine learning: a survey from algorithm perspective
    Wenkai He
    Xiaqing Li
    Xinkai Song
    Yifan Hao
    Rui Zhang
    Zidong Du
    Yunji Chen
    Science China Information Sciences, 2023, 66
  • [12] Chip design with machine learning: a survey from algorithm perspective
    He, Wenkai
    Li, Xiaqing
    Song, Xinkai
    Hao, Yifan
    Zhang, Rui
    Du, Zidong
    Chen, Yunji
    SCIENCE CHINA-INFORMATION SCIENCES, 2023, 66 (11)
  • [13] Chip design with machine learning: a survey from algorithm perspective
    Wenkai HE
    Xiaqing LI
    Xinkai SONG
    Yifan HAO
    Rui ZHANG
    Zidong DU
    Yunji CHEN
    ScienceChina(InformationSciences), 2023, 66 (11) : 69 - 99
  • [14] Accelerating Optimization Design of Bio-inspired Interlocking Structures with Machine Learning
    Ding, Zhongqiu
    Xiao, Hong
    Duan, Yugang
    Wang, Ben
    ACTA MECHANICA SOLIDA SINICA, 2023, 36 (06) : 783 - 793
  • [15] Accelerating Optimization Design of Bio-inspired Interlocking Structures with Machine Learning
    Zhongqiu Ding
    Hong Xiao
    Yugang Duan
    Ben Wang
    Acta Mechanica Solida Sinica, 2023, 36 : 783 - 793
  • [16] Accelerating Optimizing the Design of Carbon-based Electrocatalyst Via Machine Learning
    Yu, Zhuochen
    Huang, Weimin
    ELECTROANALYSIS, 2022, 34 (04) : 599 - 607
  • [17] Machine learning for accelerating the design process of double-double composite structures
    Zhang, Zilan
    Zhang, Zhizhou
    Di Caprio, Francesco
    Gu, Grace X.
    COMPOSITE STRUCTURES, 2022, 285
  • [18] Accelerating Containerized Machine Learning Workloads
    Tariq, Ali
    Cao, Lianjie
    Ahmed, Faraz
    Rozner, Eric
    Sharma, Puneet
    PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024, 2024,
  • [19] Machine Learning is Accelerating Materials Research
    Zhang Q.
    Zheng Y.
    Sun K.
    Cailiao Daobao/Materials Reports, 2020, 34 (05): : 9001 - 9002
  • [20] Accelerating wavepacket propagation with machine learning
    Singh, Kanishka
    Lee, Ka Hei
    Pelaez, Daniel
    Bande, Annika
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2024, 45 (28) : 2360 - 2373