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Author:

Wang, Xiaoyi (Wang, Xiaoyi.) | Wang, Hongyu (Wang, Hongyu.) | He, Jian (He, Jian.) | Tan, Sheldon X.-D. (Tan, Sheldon X.-D..) | Cai, Yici (Cai, Yici.) | Yang, Shengqi (Yang, Shengqi.)

Indexed by:

EI Scopus

Abstract:

Electromigration (EM) is considered to be one of the most important reliability issues for current and future ICs in 10nm technology and below. In this paper we focus on the EM stress evaluation for one-dimensional multi-segment interconnect wires in which all the segments have the same direction, which is a common routing structure for power grid networks. The proposed method, which is based on integral transform technique, could efficiently calculate the hydrostatic stress evolution for multi-segment metal wires stressed with different current densities. The new method can also naturally consider the pre-existing residual stresses coming from thermal or other stress sources. Based on this new transient EM assessment method, a full-chip assessment algorithm for power grid networks is then proposed. The new algorithm is also based on the IR-drop metrics for failure assessment of the power grid networks. However, it finds the precise location and time of EM-induced void nucleation by directly checking the time-changing hydrostatic stresses of all the wires. The resulting EM assessment method can ensure sufficient accuracy of the EM verification for large scale power grid networks without sacrificing the efficiency. The accuracy of the proposed transient analysis approach is validated against the numerical analysis. Also the resulting EM-aware full-chip power grid reliability analysis has been demonstrated and compared with existing methods. © 2017 IEEE.

Keyword:

Integral equations Integrated circuit interconnects Stresses Transient analysis Electric power transmission networks Wire Hydraulics Electromigration Reliability analysis

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 ] [Wang, Hongyu]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.]Dept. of Electrical and Computer Engineering, University of California, Riverside; CA; 92521, United States
  • [ 5 ] [Cai, Yici]Department of Computer Science and Technology, TsingHua University, Beijing; 100084, China
  • [ 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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Year: 2017

Page: 1727-1732

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 28

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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