On Jun 15, 2008, at 3:57 PM, Simon Pickles wrote:
Hi NRB,
Neutral Robot Boy wrote:
alright, so i'm still in 'beginner' mode with stackless here. i did
a bit of reading which suggested that stackless should be able to
distribute processing across multiple cores without trouble, and i
decided to write a really simple script and look at how much of a
load it puts on my cpu.
The stackless scheduler which you activate by calling
stackless.run() only runs in one thread. Each tasklet is added to
that scheduler and called in turn. No other core will be used.
I suppose one should point out that this is not merely a limitation of
Stackless.
e.g. running schedulers in more than one thread won't even help.
Python itself, even using multiple native threads, can only make use
of one core
at a time due to the GIL (Global Interpreter Lock). If you are
interested
in the whys-and-wherefores, a search through the archives of this list
(and/or Google) will provide a bunch of discussions.
-Jas
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