Hej Jakob

(I assume you understand  danish)

> I saw your announcement of Pypar on comp.lang.python.announce.  In our
> programs, we are using Konrad Hinsen's Scientific Python module.  I
> have a small technical question.  You write that one advantage of your
> approach is, that one does not need a special version of the Python
> executable, just the pypar module.  In Scientific Python it is
> necessary to modify Python because MPI requires that MPI_Init is
> called before the program looks at its command line arguments, and
> Python needs to look at its command line arguments to figure out which
> script to run.  

Jeg har aldrig rigtigt forstaaet hvorfor det skulle vaere noedvendigt.
Derfor gik jeg igang med at implementere et interface hvor 
Python oversetteren forbliver uaendret. 
MPI_init har selvfoelgelig ikke adgang til commandline parametre 
- saa det er prisen for min tilgang.

> How do you bypass this problem?  I know there are MPI
> implementations where this is not a problem as MPI only adds extra
> stuff to the command-line on the non-master nodes, but there are some
> implementation (MPICH, for example) where the whole command line is
> replaced with MPI stuff and the command line is only restored when
> MPI_Init is called.

Det er muligt at pypar vil have problemer med det.
Jeg har imidlertid testet pypar under LAM/Mpi (linux), 
Native MPI for DEC Alpha og MPICH for Sun enterprise.
Jeg kunne ikke umiddelbart faa ideen til at virke under MPICH/Linux - maaske
pga det problem du beskriver. 

> I am very interested to hear if you have found an elegant way to solve
> this, 

Jeg har ikke fundet en elegant loesning - maaske snarere en vej udenom:
Problemet er rent teoretisk for de implementationer jeg bruger 
og kan ignoreres.


> as it is slightly annoying to have to have an extra version of
> the Python executable.

Ja - det var det jeg taenkte.

Hvis du har lyst kan du hjaelpe med at udvikle pypar ideen ?

Mvh
Ole

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Ole Nielsen                    | Email: Ole.Nielsen@anu.edu.au
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