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Correct measurement of process variations

allennlowaton

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Good day Sirs/Maams,
Hope you are all doing good.

Shown below are the TT,FF and SS graphs (top to bottom).
I am confused on how to properly measure the process variation of this one.
Do I need to include into consideration the range of the y-axis?

By the way, these are the TTFFSS corner graphs versus temperature (x-axis).

Thank you.
 

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dick_freebird

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First realize that "corner" models are a pretty weak cartoon,
of true process / device variability. These corners serve to
support timing / drive strength models and little else. They
are wholly inadequate to analog interests and embed
assumptions about correlation of detail params (for
example VTN and VTP, u0n and u0p are co-variant in these
models when in fact there's no such process correlation
(toxn and toxp, there's only one tox for a given voltage
rating family of FETs).

Since it's all a cartoon I don't know what you'd try to figure
out from it - or whether you'd be smart to believe it.
 

allennlowaton

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First realize that "corner" models are a pretty weak cartoon,
of true process / device variability. These corners serve to
support timing / drive strength models and little else. They
are wholly inadequate to analog interests and embed
assumptions about correlation of detail params (for
example VTN and VTP, u0n and u0p are co-variant in these
models when in fact there's no such process correlation
(toxn and toxp, there's only one tox for a given voltage
rating family of FETs).

Since it's all a cartoon I don't know what you'd try to figure
out from it - or whether you'd be smart to believe it.
I did not totally understand what do you mean. On this graph, my initial idea to compute for process corner variations (TT to FF, TT to SS) is just to get the specific value at room temperature then proceed to (FF value - TT value) / TT value. However, I am perplexed if I will also include the value of the range at the Y-axis (max at 9 - min at 8.2).
 

AMS012

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If you want to just quote the process variation, do it at a particular temperature (may be the worst case). That's it.
 

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