we all know that the parametric analysis is quite a useful tool in cadence, we can sweep any parameters in the design. I refer to the
cadence user guide and I find that it is a "for loop" simulation. I perform the same simulation by using the same "for loop" , but I find the parametric analysis is much faster than the common "for loop". I would like to know why the parametric analysis is faster? is there some optimization for the parametric analysis ?
thanks for explaining clearly！I got the idea. in my case, I use the following skill code:
for(row 0 100
for(col 0 100
selectResult( 'tran )
I wonder whether the"selectResult" will force the simulator to exit? I think the default parametric analysis will finish the simulation first, and then sample all the data. in that way, it require a lot of memory to store the simulation data (many curves), so I plan to sample the data in each simulation, but i found it is slower than the conventional way. in additional, how to manage to sample all the output curves after the simulation in my case if I will use the default parametric analysis, how does the VOUT name change in the psf data? VOUT_1, VOUT_2, right?