eldo_user

Eldo Control Language
Statistical Processing
In addition, you can use the following function (requires a simulation to be loaded with
_simu_load):
_simu_get_mcsens.
• Running Monte Carlo Runs in Parallel
You can run ECL Monte Carlo simulations in parallel, the simulations will be performed
by different simulators.
See “Running Monte Carlo Runs in Parallel” on page 1105.
The default sampling values generated by ECL when no parallel structures are used in the ECL
tasks are the same as the sampling values generated by Eldo when dataflow=1 is specified on
the .MC command. To compare results obtained with ECL Monte Carlo flow to Eldo Monte
Carlo results, dataflow=1 must be specified on the .MC command when running the netlist with
Eldo.
When Monte Carlo simulations are run inside parallel loops by ECL, sampling values will be
different because ECL will create one random number generator by job to ensure the
reproducibility of the results.
Table 18-5. Statistical Processing Functions
Command
Description
_simu_erase_all_runs Erases all sampling data from all the previous Monte Carlo
runs so that they are not taken into account if
_simu_get_sampling() or _simu_get_raw_sampling() is
called.
_simu_erase_last_run Erases all sampling data from the previous Monte Carlo run
so that it is not taken into account if _simu_get_sampling()
or _simu_get_raw_sampling() is called.
_simu_get_mcsens Returns the sensitivity list of the elements of the array array
for a given sampling.
_simu_get_nb_stat_param Returns the number of statistical parameters inside a netlist.
s
_simu_get_random Returns a random value corresponding to the requested
distribution.
_simu_get_raw_sampling Returns a matrix containing all the sampling values
computed during the Monte Carlo simulation.
_simu_get_sampling Returns a matrix containing all the sampling values
computed during the Monte Carlo simulation.
1060
Eldo® User's Manual, 15.3