A delay model allowing nano-CMOS standard cells statistical simulation at the logic level

Author(s):  
Antonio Mastrandrea ◽  
Francesco Menichelli ◽  
Mauro Olivieri
Author(s):  
Kenza Charafeddine ◽  
Faissal Ouardi

<p>The following work shows an innovative approach to model the timing of<br />standard cells. By using mathematical models instead of the classical SPICE-based characterization, a high amount of CPU (Central Processing Unit) cores is saved and less amount of data is stored. In the present work,<br />characterization of cells of a standard cell library is done in an hour whereas<br />it is done in 650 hours with the classical method. Also, a method for<br />validating and verification of the precision of the modelled data is presented<br />by comparing them on a implemented circuit. The output of implementations shows less than 3% of error between the two methods.</p>


1999 ◽  
Author(s):  
Li-Shiuan Peh ◽  
William J. Dally
Keyword(s):  

Filomat ◽  
2017 ◽  
Vol 31 (16) ◽  
pp. 5271-5293
Author(s):  
A.K. Pal ◽  
P. Dolai ◽  
G.P. Samanta

In this paper we have studied the dynamical behaviours of a delayed two-species competitive system affected by toxicant with imprecise biological parameters. We have proposed a method to handle these imprecise parameters by using parametric form of interval numbers. We have discussed the existence of various equilibrium points and stability of the system at these equilibrium points. In case of toxic stimulatory system, the delay model exhibits a stable limit cycle oscillation. Computer simulations are carried out to illustrate our analytical findings.


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