[Twisted-Python] Can I benefit from multi-processor hardware?

Phillip J. Eby pje at telecommunity.com
Mon May 24 00:56:38 EDT 2004

At 01:03 PM 5/24/04 +0900, June Jae-jun Kang wrote:

>Can we still benefit from multi-processor hardware with Twisted s basic 
>event-driven architecture?

Only if you use multiple processes.  The Python interpreter has a global 
lock that's used to protect potentially shared data structures, so this 
inhibits multi-processor execution of pure Python code.  Portions of a 
Python program that are written in C or C++ can be free-threaded, but if 
you are doing code that's pure Python, you'll need multiple processes.

So, to take advantage of multi-processor hardware, you can do your 
calculation-intensive work in separate processes, with the network 
communications being handled by an event-driven front end.  Note that this 
is basically true for *any* Python program, not just Twisted.

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