Help me use my Dual Core CPU!

mystilleef mystilleef at
Thu Sep 14 14:03:12 CEST 2006

I use D-Bus (Python). I recommend it. I don't know how cross platform
it is. However, it supports message passing of most built-in (strings,
ints, lists, dictionaries etc) Python objects accross processes. You
can mimick clean Erlang-like concurrency with it. It is the future of
IPC on Desktop Unix. Given Python's crippled threading implementation,
it can play a role in making your Python applications scalable, with
regards to concurrency. I am recommending D-Bus because I have used it,
and I know it works. I didn't read this of a newsgroup or mailing list.

Simon Wittber wrote:
> I've just bought a new notebook, which has a dual core CPU.
> I write cross platform games in Python, and I'd really like to be able
> to use this second core (on my machine, and on user's machines) for any
> new games I might write.
> I know threads won't help (in CPython at least) so I'm investigating
> other types of concurrency which I might be able to use. I really like
> the PyLinda approach, however I need to be able to pass around all the
> simple python types, which PyLinda won't help me with. Also, PyLinda is
> more focused on distributing computing; I really only want to have 2
> processes cooperating (or 4, if I had 4 CPUs/cores etc).
> Is there any cross platform way to share python objects across
> processes? (I've found POSH, but it's old, and doesn't appear to be
> maintained). I could implement my own object space using shared memory,
> but from what I can see, this is not available on Win32.
> Are there any other concurrency options I've not discovered yet?
> -Sw.

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