[Chicago] MPI in Python?

Massimo Di Pierro mdipierro at cs.depaul.edu
Wed Feb 27 17:16:25 CET 2008

If you need parallelization ,you care about speed. If you care about  
speed use C/C++.
In C/C++ there are many libraries based on MPI that allow programming  
at higher level (for example http://www.fermiqcd.net, despite the  
pitch for physics it is actually very general for mesh based  

You use threads on shared memory machines (like a SG), you use MPI on  
distributed memory machines (like a cluster). There is really no choice.


On Feb 27, 2008, at 8:31 AM, skip at pobox.com wrote:

> Is anyone using MPI within Python to harness the compute power of  
> multiple
> CPU machines?  I see two MPI packages available for Python:
>     http://mpi4py.scipy.org/
>     http://sourceforge.net/projects/pympi/
> Any idea which of these is "better" for some vague definition of  
> the word?
> Is MPI too low-level?  Is there something higher-level on top of  
> it?  I've
> been playing around with Richard Oudkerk's processing package (see  
> entry in
> PyPI: http://pypi.python.org/pypi/processing).  That provides an  
> interface
> very much like Python's threading package, which makes it pretty  
> easy to
> use.  It's not based on MPI though.  A marriage of the two might be  
> nice.
> Any thoughts?
> Skip
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