pyop3 #3318
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pyop3 #3318
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Now a failure much much later on in the process.
What a momentous occasion.
Seems like some of the traversals (esp. replace) can be quite expensive. We seem to gain with eager evals of some conditions...
SO much nicer this time around!
Appears to work in parallel, now need to apply to more cases.
Not currently working because need to be clever about cache keys for iteration_spec.
Immutable objects should be reusable.
Quite ugly, will refactor.
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Replace PyOP2 with pyop3.
Thesis link
Summary
Data structures for unstructured meshes are much more complicated than N-dimensional arrays. Firedrake therefore does an awful lot of very involved bookkeeping to make sure that things work.
The key contribution of pyop3 is a new abstraction for describing data layouts, called axis trees. Axis trees are able to describe mesh data layouts completely from a high-level specification. This has the dual set of benefits of: (a) being able to delete a lot of complex Firedrake code, and (b) we can now express a whole suite of algorithms that would otherwise be very difficult to write.
You can think of pyop3 as 'a JIT-compiled numpy for unstructured mesh data'.
pyop3
Core concepts
Expected benefits
API changes visible in Firedrake
Drop support for variable layer extruded meshes
Users should use a cell submesh instead to get the right behaviour.
Explanation
The functionality appeared not to be used by the community (e.g. thetisproject/thetis#405) and porting the functionality would have been a large amount of work.
.sub()expects a tuple instead of integer for tensor spaces.