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SACI: statistical static timing analysis of coupled interconnects
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Source Great Lakes Symposium on VLSI archive
Proceedings of the 16th ACM Great Lakes symposium on VLSI table of contents
Philadelphia, PA, USA
SESSION: Testing and noise analysis table of contents
Pages: 241 - 246  
Year of Publication: 2006
ISBN:1-59593-347-6
Authors
Hanif Fatemi  University of Southern California, Los Angeles, CA
Soroush Abbaspour  University of Southern California, Los Angeles, CA
Massoud Pedram  University of Southern California, Los Angeles, CA
Amir H. Ajami  Magma Design Automation, Santa Clara, CA
Emre Tuncer  Magma Design Automation, Santa Clara, CA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

Process technology and environment-induced variability of gates and wires in VLSI circuits make timing analyses of such circuits a challenging task. Process variation can have a significant impact on both device (front-end of the line) and interconnect (back-end of the line) performance. Statistical static timing analysis techniques are being developed to tackle this important problem. Existing timing analysis tools divide the analysis into interconnect (wire) timing analysis and gate timing analysis. In this paper, we focus on statistical static timing analysis of coupled interconnects where crosstalk noise analysis is unavoidable. We propose a new framework for handling the effect of Gaussian and Non-Gaussian process variations on coupled interconnects. The technique allows for closed-form computation of interconnect delay probability density functions (PDFs) given variations in relevant process parameters such as the line width, metal thickness, and dielectric thickness in the presence of crosstalk noise. To achieve this goal, we express the electrical parameters of the coupled interconnects in a first order (linear) form as function of changes in physical parameters and subsequently use these forms to perform accurate timing and noise analysis to produce the propagation delay and slew in the first-order forms. This work can be easily extended to consider the effect of higher order terms of the sources of variation. Experimental results show that the proposed method is capable of accurately predicting delay variation in a coupled interconnect line.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Hanif Fatemi: colleagues
Soroush Abbaspour: colleagues
Massoud Pedram: colleagues
Amir H. Ajami: colleagues
Emre Tuncer: colleagues