[Stackless] multi-core processing?

Chris Lee c.j.lee at tnw.utwente.nl
Mon Jun 16 11:25:43 CEST 2008

On Jun 15, 2008, at 10:33 PM, Jeff Senn wrote:

> 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
Yes indeed, I run simulation code which can benefit from as many cores  
and processors that are available. To achieve this in python I used  
parallelpython, which acts as a job server and pickles the parameters,  
modules, and functions for use by a new instance of python. Using  
this, I can pretty much use all the processing power available on the  
computer. It can even run across multiple machines, if I go to the  
trouble to set up the permissions on each machine.

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