eldo_user

Eldo Control Language
Statistical Processing
_simu_unlock_stat_param
Task function category: Statistical Processing Functions
Specifies that the value of the parameter identified by the index stat_param_index must vary
during the Monte Carlo simulation according to its distribution.
Usage
_simu_unlock_stat_param(stat_param_index)
_simu_unlock_stat_param("LOT" | "DEV")
Arguments
• stat_param_index
Index of statistical parameter.
• "LOT" | "DEV"
Calls _simu_unlock_stat_param on all parameters having LOT or DEV and DEVX
variation.
Related Topics
Statistical Processing
Running Monte Carlo Runs in Parallel
Running ECL Monte Carlo simulations in parallel requires to call _simu_load,
_simu_set_mc_flow, simu_run and _simu_end inside the para_for loop. This means the Monte
Carlo simulations will be performed by different simulators.
To ensure reproducibility of results, only one-level of para_for loops is allowed (nested parallel
loops are not allowed to run simulations using the ECL Monte Carlo flow) and each job uses a
different random number generator (they are initialized with different seeds); the reproducibility
of results is ensured between different runs of the same ECL netlist, but not if the para_loop is
changed into a sequential for loop (because simulations run inside a sequential for loop use the
same random number generator).
Monte Carlo results from each job must be saved and aggregated to be able to call Monte Carlo
post-processing functions. If sensibilities have to be computed, then each sampling must also be
saved since _simu_get_mcsens needs it.
Example: (same example as before but using parallelism) first a parallel Monte Carlo simulation
is run to find the most important parameters acting on the propagation delay; then from the
name of these parameters, the width of the corresponding MOS is increased to see how it
impacts the delay.
Eldo® User's Manual, 15.3 1105