Python performance notes...
tismer at tismer.com
Thu May 25 18:36:22 CEST 2000
> > Empty loops don't happen in reality, and it makes limited
> > sense to compare a Python loop against a compiler, which in
> > this case even has the chance to optimize the full thing
> > away.
> Well, it didn't change it to i=i+100000, if that's
> what you mean. What I was really testing was the
> cost of the increment operation, establishing a worse
> case. We already know that the best cases are better,
> but doing the worse case allows us to compare to other
> worse case situations, IMO. A friend of mine wanted
> to know what the loop cost was, to compare it to TCL
> as a watermark.
I see what you want, but not why. Comparing worst cases
from artificial construct which don't occour in real
programs might be fun, but might be as well be misleading.
If a decision maker reads "Python loop == 100 * slower than C",
this is bad for everybody.
Comparing typical cases can lead to better decisions.
I't talk about an "extreme case", but then turn to a
So, a more typical case would be:
- a loop
- some operations on Python objects
Given that, the loop cannot be optimized away.
You have the following mapping then:
Python script C translation
loop construct C loop
loop jump C jump
interpreted object ops C calls to object ops
Well, comparing these gives you a bit more than optimizing
the loop from Python into C; it also translates some
other bytecode operations, but keeps using the high level
objects. Pretty much what P2C would produce.
Measuring the exact loop overhead in both versions
could be acomplished quite easily by duplicating
the object operations.
> > The calling overhead of the objects in your code is still
> > there, and unless you leave Python totally and use native
> > C structures all the time, you will not gain much more
> > than 30, maybe 40 percent of speed by avoiding the interpreter.
> Well, that's interesting, any pointers which prove this,
> or is this experience speaking?
This is experience, from lots of experiments with speeding
Python up, using the P2C translator, and so on. After it
became clear to me that there is this 40% limit, unless
you do massive program analyses, I stopped thinking of
optimizing the current interpreter any longer.
but-started-to-think-of-much-more-drastic-things-ly y'rs - chris
Christian Tismer :^) <mailto:tismer at appliedbiometrics.com>
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