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Author:

Wang, Xiaoyi (Wang, Xiaoyi.) | Yan, Yan (Yan, Yan.) | He, Jian (He, Jian.) | Tan, Sheldon X.-D. (Tan, Sheldon X.-D..) | Cook, Chase (Cook, Chase.) | Yang, Shengqi (Yang, Shengqi.)

Indexed by:

EI Scopus

Abstract:

Electromigration (EM) becomes one of the most challenging reliability issues for current and future ICs in 10nm technology and below. In this paper, we propose a new analsys method for the EM hydrostatic stress evolution for multi-branch interconnect trees, which is the foundation of the EM reliability assessment for large scale on-chip interconnect networks, such as power grid networks. The proposed method, which is based on eigenfunctions technique, could efficiently calculate the hydrostatic stress evolution for multi-branch interconnect trees stressed with different current densities and non-uniformly distributed thermal effects. The new method can also accommodate the pre-existing residual stresses coming from thermal or other stress sources. The proposed method solves the partial differential equations of EM stress more efficiently since it does not require any discretization either spatially or temporall, which is in contrast to numerical methods such as 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 efficiency of the proposed method is demonstrated and compared to finite difference method. The proposed method is 10X∼100X times faster than finite difference method and scales better for larger interconnect trees. © 2017 IEEE.

Keyword:

Forestry Finite difference method Integrated circuit interconnects Electromigration Hydraulics Transient analysis Electric power transmission networks Eigenvalues and eigenfunctions Numerical methods Computer aided design Stresses

Author Community:

  • [ 1 ] [Wang, Xiaoyi]Beijing Advanced Innovation Center for Future Internet Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Yan, Yan]Beijing Advanced Innovation Center for Future Internet Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [He, Jian]Beijing Advanced Innovation Center for Future Internet Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Tan, Sheldon X.-D.]Department of Electrical and Computer Engineering, University of California, Riverside; CA; 92521, United States
  • [ 5 ] [Cook, Chase]Department of Electrical and Computer Engineering, University of California, Riverside; CA; 92521, United States
  • [ 6 ] [Yang, Shengqi]Beijing Advanced Innovation Center for Future Internet Technology, Beijing Engineering Research Center for IoT Software and Systems, Beijing University of Technology, Beijing; 100124, China

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ISSN: 1092-3152

Year: 2017

Volume: 2017-November

Page: 169-176

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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