From Ramine@21:1/5 to All on Sun Apr 17 20:30:56 2016
USL methodology is like a playing a Dice game with much greater
number of sides than 6..
When you want to test with fewer cores and fewer threads using
the USL methodology to predict scalability, the bigger serial parts
of the Amdahl's law that causes contention and the smallest serial parts
of the Amdahl's law that are much farther from the the smallest big
serial part that causes contention constitutes the greater majorities of
the sides of a Dice with much greater
number of sides than 6.., so there probability are , much higher, so
since the bigger serial parts that causes contention on the serial part
makes the nonlinear regression will succeed in predicting scalability..
and since for the smallest serial parts of the Amdahl's law that are far
from the smallest big parts that causes contention have a higher chance
to happen than the smallest serial parts that are near the smallest
bigger parts that causes contention, this is why when you test with
fewer cores and fewer threads with USL methodology there is a much
higher chance that the forecasting of scalability farther succeeds, that
means it's a better approximation.
This is all about mathematical probability, and my reasonning makes
USL methodology a successful and great tool that predict scalability.