AMD CPU o/c analysis

[SoF]

Why don't you add more coefficients in general approximation models?
Just to improve the convergence and CCs.
In most cases the specific AMD estimators predict better than General CPU speed estimator.

[MrSeanKon]

Good question SoFoklis what can I say now
Well as you have mentioned the specific estimators predict better in most cases cos correlation coefficients = CCs are closest to 100% (or -100%).
Of course I can add more parameters in internals to improve the convergence and prediction but general approximation routines will not predict good for extrapolation cases.
I cannot present here more stuff about this cos I must post the source code (which is long) and it is hard to explain what is does or not.
Keep in mind that you have to use the General CPU speed estimator in the beggining and then you use the specific estimators.

Total AMD temperature analysis
The photo shows you the points which used in AMD gain and AMD temperature crash estimators.

Correlation coefficient: 89.7%

Model function: Exponential type

Samples: XP, Bartons, 754 and 939 single core (all desktop).

Cooling systems: Air, water and sometimes AC compressor.

Temperature range: +8.5 up to 59 Celsius.

Here the analysis stops.
More stuff after some years, I must collect data!
If you want to ask me feel free.

[v0dka]

Looks nice, what did you actually use to draw these graphs?

[MrSeanKon]

Thanks v0dka
All plots (black background) are from OcBible.
The others --> Mathematica and Maple sometimes.
To be more specific some AMD estimators use long formulas which are computed using Mathematica.
Moreover I must compare some OcBible results that's why these packages are installed also.
OcBible can plot more than one functions (up to four) together but this feature will available from v1.49.
Moreover I am thinking to add more capabilities just to gain time when we use these routines.
Someone may say "why use the OcBible instead of Mathematica and Maple???"
The reason is simple:
Both programs do not have a graphical interface you must type long commands such as Fit[data,Method->...] etc.....

[SoF]

I luv this math related stuph here

All estimators are based on watercooled and aircooled systems.
Someone (lots of people here) who have subzero what he/she should do??
I know that you don't have a subzero but I am wondering how can I/we get the most of this program.
I mean I know that predictions sometimes are rather correct as I used former versions of the bible for some own testing, but did you do anything for this in addition?
iirc some things were not able to work with negative temps(don't ask me which one it's way too long ago ), or am I remembering wrong?