Application of machine learning techniques to chip design

被引：0
|
作者：
Sudhakaran, Sunil [1 ,2 ]
机构：
[1] NVIDIA, 450 Jane Stanford Way, Stanford, CA 94305 USA
[2] Stanford Univ, 450 Jane Stanford Way, Stanford, CA 94305 USA
来源：
2024 IEEE WORKSHOP ON MICROELECTRONICS AND ELECTRON DEVICES, WMED | 2024年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The current state-of-the-art chip design process is incredibly difficult and filled with challenges across the various phases from early-stage architectural planning all the way to post-silicon characterization and production. This talk explores some of these challenges with an emphasis on I/O design and signal integrity. A few interesting problems related to the design and manufacturing of chips will be presented including applications of numerical optimization and machine learning techniques.
引用
收藏
页码：XV / XV
页数：1
相关论文
共 50 条
  • [1] Accelerating Chip Design with Machine Learning
    Khailany, Brucek
    [J]. PROCEEDINGS OF THE 2020 ACM/IEEE 2ND WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD '20), 2020, : 33 - 33
  • [2] Accelerating Chip Design With Machine Learning
    Khailany, Brucek
    Ren, Haoxing
    Dai, Steve
    Godil, Saad
    Keller, Ben
    Kirby, Robert
    Klinefelter, Alicia
    Venkatesan, Rangharajan
    Zhang, Yanqing
    Catanzaro, Bryan
    Dally, William J.
    [J]. IEEE MICRO, 2020, 40 (06) : 23 - 32
  • [3] Advances in the application of machine learning techniques in drug discovery, design and development
    Barrett, S. J.
    Langdon, W. B.
    [J]. APPLICATIONS OF SOFT COMPUTING: RECENT TRENDS, 2006, : 99 - +
  • [4] Chip Performance Prediction Using Machine Learning Techniques
    Su, Min-Yan
    Lin, Wei-Chen
    Kuo, Yen-Ting
    Li, Chien-Mo
    Fang, Eric Jia-Wei
    Hsueh, Sung S-Y
    [J]. 2021 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2021,
  • [5] Machine Learning Techniques and Drug Design
    Gertrudes, J. C.
    Maltarollo, V. G.
    Silva, R. A.
    Oliveira, P. R.
    Honorio, K. M.
    da Silva, A. B. F.
    [J]. CURRENT MEDICINAL CHEMISTRY, 2012, 19 (25) : 4289 - 4297
  • [6] LEARNING DESIGN CONCEPTS USING MACHINE LEARNING TECHNIQUES
    MAHER, ML
    LI, H
    [J]. AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 1994, 8 (02): : 95 - 111
  • [7] Application of Machine Learning Techniques to Sentiment Analysis
    Jain, Anuja P.
    Dandannavar, Padma
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON APPLIED AND THEORETICAL COMPUTING AND COMMUNICATION TECHNOLOGY (ICATCCT), 2016, : 628 - 632
  • [8] Application of Machine Learning Techniques in Temperature Forecast
    Arasu, Adrin Issai
    Modani, Manish
    Vadlamani, Nagabhushana Rao
    [J]. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 513 - 518
  • [9] Application of Machine Learning Techniques to Mechanical Ventilation
    Gutierrez, G.
    Milojevic, I.
    Lemma, K.
    Lee, D.
    [J]. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2019, 199
  • [10] Application of machine learning techniques in the diagnosis of endometriosis
    Zhao, Ningning
    Hao, Ting
    Zhang, Fengge
    Ni, Qin
    Zhu, Dan
    Wang, Yanan
    Shi, Yali
    Mi, Xin
    [J]. BMC WOMENS HEALTH, 2024, 24 (01)
12345