DocumentCode :
1969073
Title :
Improving the accuracy of on-chip parasitic extraction
Author :
Huang, Ching-Chao ; Oh, Kyung Suk ; Wang, Shun-Lien ; Panchapakesan, Sridhar
Author_Institution :
Technol. Modeling Assoc. Inc., Sunnyvale, CA, USA
fYear :
1997
fDate :
27-29 Oct. 1997
Firstpage :
42
Lastpage :
45
Abstract :
The rule-based layout parameter extraction (LPE) tools are most often used to extract the full-chip parasitics, but their accuracy strongly depends on how the capacitance models are specified. This paper shows that the generation of accurate capacitance models can be automated with thousands of field-solver simulations and nonlinear regression. The fundamental limitations of LPE tools are discussed. Finally, a 3D Monte-Carlo field solver is used to validate and further improve the LPE results.
Keywords :
Monte Carlo methods; VLSI; capacitance; circuit analysis computing; circuit layout CAD; integrated circuit design; knowledge based systems; parameter estimation; 3D Monte-Carlo field solver; capacitance models; field-solver simulations; full-chip parasitics; nonlinear regression; on-chip parasitic extraction; rule-based layout parameter extraction; Conductors; Data mining; Delay; Finite difference methods; Inductance; Parameter extraction; Parasitic capacitance; Time to market; Timing; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Performance of Electronic Packaging, 1997., IEEE 6th Topical Meeting on
Conference_Location :
Austin, TX
Print_ISBN :
0-7803-8649-3
Type :
conf
DOI :
10.1109/EPEP.1997.634035
Filename :
634035
Link To Document :
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