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  3. Plotting Parametric Monte Carlo Simulation Result

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Plotting Parametric Monte Carlo Simulation Result

ranaya
ranaya over 1 year ago

Hi All,

I am running a parametric simulation with several Monte Carlo iterations. I have to plot several waveforms, calculate some expressions from this run. From the single sweep parametric simulations, I can plot these values, but after Monte Carlo simulation, this is not possible in ADE assembler. 

Even if the confidence level was not set, I expected the waveforms to appear in Viva. Nor they do in the "Results" tab. Any pointer to the solution or a training video is greatly appreciated.

Thanks

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  • ranaya
    ranaya over 1 year ago

    Okay, further looking into the spectre.log file says the following:

    But in the MC analysis window, I've already specified the variations to be process and mismatch.

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  • Andrew Beckett
    Andrew Beckett over 1 year ago in reply to ranaya

    This suggests that you are pointing at the wrong models and they do not include the "statistics" block which sets the variation. It doesn't matter if the analysis is set up to choose mismatch and process if the model data isn't present.

    Andrew

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  • ranaya
    ranaya over 1 year ago in reply to Andrew Beckett

    Yes, that was the issue. The statistical block of the monte carlo model file was not selected properly. Thanks for the pointer. I have another question regarding the parametric analysis within MC. Right now, I can see there are several MC iterations for one single parametric step. Instead can we run the simulation to have the entire parametric sweep per one MC iteration ? Is that possible ?

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  • Andrew Beckett
    Andrew Beckett over 1 year ago in reply to ranaya

    With ADE the Monte Carlo sweep is always the innermost sweep - you can't put the parameter sweep within the Monte Carlo (it shouldn't matter which way around you do this - so why do you want this?). You can set (with LSCS enabled) the number of Monte Carlo points per separate simulation - you can set that to 1 - which is useful if the simulations are relatively lengthy - as this way it gives better control over the distribution of the workload (although you have more startup overhead per simulation - fine if the simulation is not really quick as that will be negligible).

    Andrew

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