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作者:

Wang, Xiaoyi (Wang, Xiaoyi.) | Ma, Shaobin (Ma, Shaobin.) | Tan, Sheldon X-D (Tan, Sheldon X-D.) | Cook, Chase (Cook, Chase.) | Chen, Liang (Chen, Liang.) | Yang, Jianlei (Yang, Jianlei.) | Yu, Wenjian (Yu, Wenjian.)

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EI Scopus SCIE

摘要:

Electromigration (EM) becomes one of the most challenging reliability issues for current and future ICs in 10-nm technology and below. In this article, a novel method is proposed for the EM hydrostatic stress analysis on 2-D multibranch interconnect trees, which is the foundation of the EM reliability assessment for large-scale on-chip interconnect networks, such as on-chip power grid networks. The proposed method, which is based on an eigenfunction technique, could efficiently calculate the hydrostatic stress evolution for multibranch interconnect trees stressed with different current densities and nonuniformly distributed thermal effects. The proposed method solves the partial differential equations of transient EM stress more efficiently since it does not require any discretization either spatially or temporally, which is in contrast to numerical methods, such as the finite difference method and finite element method. The accuracy of the proposed transient analysis approach is validated against the analytical solution and commercial tools. The convergence of the proposed method is demonstrated by numerical experiments on practical power/ground networks, showing that only a small number of eigenfunction terms are necessary for the accurate solution. Thanks to its analytical nature, the proposed method is also utilized in efficient EM analysis techniques, such as searching for the void nucleation time by a modified bisection algorithm. The numerical results show that the proposed method is 10X-100X faster than the finite difference method and scales better for larger interconnect trees.

关键词:

Integrated circuit interconnections Reliability interconnect tree reliability Electromigration (EM) Wires on-chip networks Eigenvalues and eigenfunctions Stress Transient analysis Metals

作者机构:

  • [ 1 ] [Wang, Xiaoyi]Beijing Univ Technol, Beijing Engn Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China
  • [ 2 ] [Ma, Shaobin]Beijing Univ Technol, Beijing Engn Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China
  • [ 3 ] [Tan, Sheldon X-D]Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
  • [ 4 ] [Cook, Chase]Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
  • [ 5 ] [Chen, Liang]Univ Calif Riverside, Dept Elect & Comp Engn, Riverside, CA 92521 USA
  • [ 6 ] [Yang, Jianlei]Beihang Univ, Beijing Adv Innovat Ctr Big Data & Brain Comp, Sch Comp Sci & Engn, Beijing 100191, Peoples R China
  • [ 7 ] [Yu, Wenjian]Tsinghua Univ, Dept Comp Sci & Technol, BNRist, Beijing 100084, Peoples R China

通讯作者信息:

  • [Wang, Xiaoyi]Beijing Univ Technol, Beijing Engn Res Ctr IoT Software & Syst, Beijing 100124, Peoples R China;;[Yu, Wenjian]Tsinghua Univ, Dept Comp Sci & Technol, BNRist, Beijing 100084, Peoples R China

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来源 :

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

ISSN: 0278-0070

年份: 2021

期: 3

卷: 40

页码: 507-520

2 . 9 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:87

JCR分区:3

被引次数:

WoS核心集被引频次: 8

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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