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effective length variation after Monte Carlo trial

inessadm

Hi, when I run a Monte Carlo analysis in Cadence Spectre-v 6.1.3 (process only), I'm looking for the variation effect
on each nominal length (L effective) of the circuit's transistors.  I find only the varied process data corresponding to
a particular run but nothing about width or length chosen for a trial !
Is there any way to do this please ?
Another question : what the meaning of process data as wd108, wd015, and so on ?
Thank you.

Parents

  • You must be using an old version (e.g. 6.1.3 or 6.1.2) because it was renamed from Default to Detailed some time ago.

    Anyway, as I said, you won't see leff in the statistical parameters if it is not being statistically varied. 

    I was mistaken about annotating it on the schematic. The leff should be in the "output" parameters in the result browser - you can enter this expression in the calculator and then plot it (assuming  you've saved family data on the Monte Carlo options form):

    pv("/I7/M3" "leff" ?result 'output)

    Note that /I7/M3 is the hierarchical path to the device in the schematic. If I do this, I see the effective length of that transistor versus the iteration number. In my case it doesn't vary because it's not a statistical parameter...

    Andrew.

Reply

  • You must be using an old version (e.g. 6.1.3 or 6.1.2) because it was renamed from Default to Detailed some time ago.

    Anyway, as I said, you won't see leff in the statistical parameters if it is not being statistically varied. 

    I was mistaken about annotating it on the schematic. The leff should be in the "output" parameters in the result browser - you can enter this expression in the calculator and then plot it (assuming  you've saved family data on the Monte Carlo options form):

    pv("/I7/M3" "leff" ?result 'output)

    Note that /I7/M3 is the hierarchical path to the device in the schematic. If I do this, I see the effective length of that transistor versus the iteration number. In my case it doesn't vary because it's not a statistical parameter...

    Andrew.

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