Comments (2)
I'm surprised that this doesn't work. Where are we breaking our orthogonality in assumptions between the PETSc interactions and Fortran kernels? I think if we are not willing to fully support the Python kernels we should remove them.
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The issue was that grid.n was being used to determine loop limits. Now grid.n is the size of the whole grid, while grid.ng is the size of the processor's global vector. It is fixed.
It is quite possible that there will be features in PyClaw that we're not willing to support in PetClaw, though I would like to avoid that. PyClaw has a design goal of being used for teaching and rapid prototyping, which makes the Python kernels important.
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Related Issues (20)
- About the example in Understanding Pyclaw Classes HOT 4
- pyclaw and petclaw failing HOT 5
- Geoclaw animation does not show tsunami wave propagation HOT 2
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- Inconsistent f2py wrappers HOT 16
- Adjust defaults for classic solver in multiple dimensions
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