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View values of process parameters for every Monte Carlo sample

soph

Hello,

When you do a Monte Carlo Simulation in Cadence, you set up the process.scs and model files wherein the parameters and their statistics are specified. Is there any way to extract/know the exact value of every process variable used in every sample point? For example, npeak1 has a defined value and statistics in process.scs, and this is varied within the defined distribution during Monte Carlo Simulation. If there are 200 sample points, is there any way to know what the value of npeak1 is for every sample? Thanks!

Parents

  • Not sure whether you're using Explorer/Assembler or ADE XL, but in Assembler on the Monte Carlo options there's a setting to save statistical parameters:

    There is also an option on the ADE XL Monte Carlo options form to save the process and/or mismatch data - you'd need to enable this.

    Having done that, after simulation you can pick this menu from the toolbar:

    The "DC" is the test name. Then on the resulting form, you can find the parameter you want (they were called uninspiring things like "random1" in my gpdk-based example):

    This will then display a report of the parameter value for each iteration.

    Andrew

Reply

  • Not sure whether you're using Explorer/Assembler or ADE XL, but in Assembler on the Monte Carlo options there's a setting to save statistical parameters:

    There is also an option on the ADE XL Monte Carlo options form to save the process and/or mismatch data - you'd need to enable this.

    Having done that, after simulation you can pick this menu from the toolbar:

    The "DC" is the test name. Then on the resulting form, you can find the parameter you want (they were called uninspiring things like "random1" in my gpdk-based example):

    This will then display a report of the parameter value for each iteration.

    Andrew

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