hi Kevin,
thanks for the information. But I'm actually looking for something
slightly different.
Its my mistake, since I didnt mention it clearly or rather not mention
it at all.
I'm looking at on chip variations. So, modelling the entire design at
SS or FF is too pessimistic.
It can be, but it it don't really matter if you can actually achieve a
design that meets spec anyway. You usually only need to try and fine
tune the calculation if the worst case design looks like the design wont
make it.
I personally use that fact that wc can give a pessimistic answer to give
me more confidence that the design will work for the conditions that are
either not checked, or the models themselves are not accurate enough.
So, within the same chip, vt etc of the transistors are going to vary.
I can take this into account if I do a statistical modelling (both at
SS and FF).
So, I get the delays as a probability distribution.
So, for a given value of vt, transconductance etc, I run spice and get
the delay.
Now, I vary these parameters accroding to some probability and get
various delays with various probabilities.
This way I can take care of on chip variations probabilistically.
My personal view is that this approach (MC) is not that wonderfull. The
reason being that, imo, one needs very large numbers of runs to account
for all conditions. Transient runs can take a long time.
Now, the issue is getting into the exact details of the modelling.
Every parameter vt, cgdo, cgso, gm, idss, AS, AD etc will vary. The
idea is to take uncorrelated parameters
as much as possible. Also if I take too many parameters, its difficult
to model.
That's why one often just does worst case. Its a compromise between
simulation time and accurate results.
I can tell you one thing though, in many companies, unless you do a wc
set of runs, you wont get a sign off from your manager to get masks
made.
What ever you do n addition, realistically, it *must* pass WC (not MC)
to go to fab. End of story.
So I would like to take some 2 or 3 dominant guys. I'm thinking of vt
and transconductance.
Are these choices ok??
I noted in the other post what *are* the dominant ones to consider, you
probaly missed this point being made, so I will repeat it:
These are the wc ratios (3 sigma) provided by a well known fab house.
..MODEL ss_wc_nch_xw nmos(tox=1.033 vth0=1.25 cj=1.05 cjsw=1.05 cgdo=1.05
cgso=1.05)
..MODEL ss_wc_nch_xs nmos(tox=960m vth0=750m cj=950m cjsw=950m cgdo=950m
cgso=950m)
tox effectively varies the transconductance as the transconductance
parameter k=u.epsilon/tox
The above are the variations typically provided by fab houses. They
don't provide much data on the other parameters in the BSim3 models.
Kevin Aylward
[email protected]
http://www.anasoft.co.uk
SuperSpice, a very affordable Mixed-Mode
Windows Simulator with Schematic Capture,
Waveform Display, FFT's and Filter Design.