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Monte Carlo Analysis<br />

Parameter Naming Conventions<br />

where and .<br />

The model parameters DW and DLR are the differences between drawn and actual width and<br />

length respectively. The sheet resistance is fixed to RSH = 100.<br />

Note<br />

This is a simplification of the effective expression where the scaling factors have been<br />

removed. Refer to RC Wire in the Eldo Reference Manual for the full formula.<br />

Implicit Rule<br />

An implicit rule exists to determine whether a parameter has global or local variations. If the<br />

parameter P is defined as a simple random variable such as:<br />

.PARAM P=AUNIF(...)<br />

then this variable has implicit DEV variations. It means that each reference of P in the circuit<br />

netlist will lead to the creation of an independent random variable.<br />

Macro PE(.)<br />

The following example illustrates the use of the macro PE(.). There are two references to the<br />

VAR parameter:<br />

.PARAM VAR=AUNIF(3U,0.1U)<br />

.PARAM BIAS=1M<br />

I1 0 1 BIAS<br />

I2 0 2 BIAS<br />

R1 1 0 RESISTOR W=3U L=VAR<br />

R2 2 0 RESISTOR W=3U L=VAR<br />

.MODEL RESISTOR R LEVEL=3 W=3U L=3U RSH=100<br />

Two random variables will be associated to the resistors R1 and R2. These variables will be<br />

named PE(VAR,R1,L) and PE(VAR,R2,L).The macro PE has three arguments. The syntax is<br />

defined as follows:<br />

PE(parameter_name, device_name, instance_parameter)<br />

The random variable that affects the instance parameter instance_parameter associated to the<br />

device device_name is such that its distribution is specified in the definition of the parameter<br />

parameter_name.<br />

Eldo® User's Manual, 15.3 537

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