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Old   January 23, 2014, 09:09
Default decomposing a grid in parallel
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Dear All,

If we want to run a simulation in parallel, we can do so in SU2 using the following :

parallel_computation.py -f file -p np

How about only partitioning a grid file in parallel? Lets say I have a 21M grid and I want to decompose it in 40 parts using 20 processors. Due to the large size of the file if I attempt doing this on a single processor, it would not run due to memory issues. Also, I tried:

mpirun -n 40 SU2_DDC file_name

but it still does the partitioning using 1 processor. (Although it shows 40 processors being used but entire memory is used only for 1 processor)

Is there a way of partitioning grids in parallel using n processors ? This would help in dealing with large grid sizes.

Thanks and regards,
Deepanshu.
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Old   January 28, 2014, 16:32
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Trent Lukaczyk
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SU2_DDC only works serially, although it can be called through mpirun as you show in order to carry a common interface. Parallel decomposition requires development to use a library called parmetis, in case anyone is interested in making this work!
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Old   January 29, 2014, 02:01
Default decomposing a grid in parallel
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Dear Trent,

Thank you for your reply.

Is there any way to decompose large grids? Are there any variable settings that would help to partition large grids.

Regards,
Deepanshu.
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