[SciPy-user] Parallel OO programming in Python.
ellisonbg.net at gmail.com
Sun Oct 29 13:16:44 CST 2006
> 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
> Article: Parallel and distributed programming.
> After reading prerequisites and limitations I thing that the following ones could be good for me:
> 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
Another thing you might check out is IPython's parallel computing
facilities that let you use mpi4py (and other mpi bindings)
I have never used BPS, but am familiar with the model. Can probably
get it working interactively with IPython as well.
> 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.
> Fie Pye
> Máme další spot P.Čtvrtníčka. Podívejte se www.neuservis.cz
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