On 10/29/06, Brian Granger <ellisonbg.net@gmail.com> wrote:

> For object oriented parallel programming in Python on a single machine I can use techniques such as Bulk Synchronous Parallelism (BSP) or Message Passing Interface (MPI). There are mentioned some modules and packages for Python on
> http://www.scipy.org/Topical_Software
> Article: Parallel and distributed programming.
> After reading prerequisites and limitations I thing that the following ones could be good for me:
> PyMPI
> Pypar
> MPI for Python

I think mpi4py is the best option. It is a very nice implementation
and the developer is working really hard to make it a great package.
Also, I don't think pympi and pypar are being developed actively
anymore.

Another thing you might check out is IPython's parallel computing
facilities that let you use mpi4py (and other mpi bindings)
interactively:

http://ipython.scipy.org/moin/Parallel_Computing

I have never used BPS, but am familiar with the model. Can probably
get it working interactively with IPython as well.

Cheers,

Brian

> But I can't distinguish which one brings fewer limitations, is efficient in application and will develop in future.
> My favorite is BSP, but I can't find a package for present SciPy and NumPy.
>
> Could anybody give me a recommendation, which way I should go.
>
> Thanks.
> Fie Pye
>
>
>
>
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