[Python-Dev] Addition of "pyprocessing" module to standard lib.

[Jesse Noller]

The inclusion of the processing module does not exclude the potential  
to also use or one day include MPI bindings.

The goal is to add a module with a "known" API and semantics which  
allows programmer using cPython to easily take advantage of multple  
cores  (and as a side benefit, machines).

In theory - one could also use MPI within an application using the  
processing module as a communications/message passing system.

-Jesse

On May 13, 2008, at 9:23 PM, Tom Pinckney <thomaspinckney3 at gmail.com>  
wrote:

> Why not use MPI? It's cross platform, cross language and very widely  
> supported already. And there're Python bindings already.
>
> On May 13, 2008, at 8:52 PM, Jesse Noller wrote:
>
>> I am looking for any questions, concerns or benchmarks python-dev has
>> regarding the possible inclusion of the pyprocessing module to the
>> standard library - preferably in the 2.6 timeline.  In March, I began
>> working on the PEP for the inclusion of the pyprocessing (processing)
>> module into the python standard library[1]. The original email to the
>> stdlib-sig can be found here, it includes a basic overview of the
>> module:
>>
>> http://mail.python.org/pipermail/stdlib-sig/2008-March/000129.html
>>
>> The processing module mirrors/mimics the API of the threading  
>> module -
>> and with simple import/subclassing changes depending on the code,
>> allows you to leverage multi core machines via an underlying forking
>> mechanism. The module also supports the sharing of data across groups
>> of networked machines - a feature obviously not part of the core
>> threading module, but useful in a distributed environment.
>>
>> As I am trying to finish up the PEP, I want to see if I can address
>> any questions or include any other useful data (including benchmarks)
>> in the PEP prior to publishing it. I am also intending to include
>> basic benchmarks for both the processing module against the threading
>> module as a comparison.
>>
>> -Jesse
>>
>> [1] Processing page: http://pyprocessing.berlios.de/
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>