Hello all,

I am still a little busy with a trimming simulation. I do the following (also see my previous post):
1. run a single MC-simulation (1 run only)
2. compute trim value
3. repeat the abouve MC simulation with the correct trim value at various operating points

The trouble is the following: I do single monte carlo runs with different start values:
mc1 montecarlo \
 numruns=1 \
 firstrun=500 \
 ...


I have observed that with increasing number of "firstrun" the MC-simulation becomes more and more time consuming. It takes considerable time to skip MC runs, see output:

************************************************
Monte Carlo Analysis `mc1': iteration = (1 -> 1)
************************************************
awaiting artil process initialization ....
**** Performing monte carlo loop for `mc1'
...
Total time required for dc analysis `mc1-001_dc' was 420 ms.
Total time required for montecarlo analysis `mc1' was 650 ms.

...

****************************************************
Monte Carlo Analysis `mc1': iteration = (500 -> 500)
****************************************************
awaiting artil process initialization ....
**** Skipping runs 1 to 499 for `mc1'
...
Total time required for dc analysis `mc1-500_dc' was 460 ms.
Total time required for montecarlo analysis `mc1' was 13.89 s.


I suppose that  the computation of the random values take significant time.
Andrew, do you, or does someone else has an idea how to speed up this process? Is it somehow  possible to store a monte-carlo state which can be reloaded later?

Thanks, regards,
achim