[Paraview] Initialize coprocessor fails

[Pettey . Lucas]

Hi Andy,

I think it must be something with MPI4PY on my Mac. I got it to compile and run on the Utility server here at ERDC.

Now, is the example here https://github.com/acbauer/CatalystExampleCode/tree/master/CxxMultiPieceExample the easiest way to incorporate extents into the Fortran code? I am basically trying to run the Fortran example on more than one processor and I was going to adapt the Fortran FXCxxAdaptor following the CxxMultiPieceExample.

Unless there is a better way. My first attempt didn't create the expanding ball that the serial Fortran example does. It did produce an image, but not the one that I wanted.

Thanks
Lucas

________________________________
From: Andy Bauer [andy.bauer at kitware.com]
Sent: Tuesday, April 30, 2013 9:28 PM
To: Pettey . Lucas
Cc: paraview at paraview.org
Subject: Re: [Paraview] Initialize coprocessor fails

Hi Lucas,

Every process should call coprocessorinitializewithpython(). I'm not sure how to solve this but first off maybe trying the Fortran 90 example at https://github.com/acbauer/CatalystExampleCode may help simplify the problem. What machine are you trying this on and what version of ParaView are you using?

Andy


On Mon, Apr 29, 2013 at 4:25 PM, Pettey . Lucas <LPettey at drc.com<mailto:LPettey at drc.com>> wrote:
Hello!

I have a Fortran serial test case working that uses the Catalyst coprocessor to generate images.

I tried moving to a parallel test case, but the program crashes with the error:

ORTE_ERROR_LOG: Attempt to redefine an existing data type in file runtime/orte_globals.c at line 218

at the call to initialize the coprocessor:

call coprocessorinitializewithpython("coproc.py",9)

Does this call change in parallel, or should only one processor be calling it?

If I comment out the line of code that calls the coprocessor initialization, then the code runs fine, I just get the error that the co-processor needs to initialize every time there is a VTK coprocessor call.

Thanks for any help,
Lucas
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