DocumentCode :
956037
Title :
Delay prediction from resistance-capacitance models of general MOS circuits
Author :
Martin, Denis ; Rumin, Nicholas C.
Author_Institution :
Canadian Marconi Co., Montreal, Que., Canada
Volume :
12
Issue :
7
fYear :
1993
fDate :
7/1/1993 12:00:00 AM
Firstpage :
997
Lastpage :
1003
Abstract :
Most existing techniques for computing the delay in linear resistance-capacitance (RC) networks will yield inaccurate results when applied to MOS transistor circuits, because they do not provide a means for determining the MOSFET´s effective channel resistance, which is a function of the capacitive load. The iterative method, in which the RC network is converted to a tree by node splitting is an exception. An efficient algorithm which takes the above dependence into account by adjusting the resistances in the model within the iterative process of the LM algorithm is presented. It is shown that by focusing on high-capacitance nodes and by distributing the split capacitances on the basis of path conductances, it is possible in many cases to dispense with iteration. For large transistor groups, decomposition into biconnected components is shown to be very effective. Combinations of these techniques have been tested on a large variety of circuits, a representative subset of which is presented
Keywords :
MOS integrated circuits; delays; equivalent circuits; iterative methods; network analysis; trees (mathematics); MOS circuits; biconnected components; capacitive load; delay prediction; effective channel resistance; high-capacitance nodes; iterative method; linear RC networks; node splitting; path conductances; resistance-capacitance models; split capacitances; tree; Circuit testing; Computational modeling; Computer networks; Delay effects; Delay lines; MOSFETs; Microelectronics; Parasitic capacitance; Predictive models; Resistors;
fLanguage :
English
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0070
Type :
jour
DOI :
10.1109/43.238036
Filename :
238036
Link To Document :
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