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Double for loop are a common pattern in column-physics (moist, radiation...). As of this writing the only way to emulate this behavior is to use the a while with a local variable which is convoluted and not user friendly.
Work was done at AI2 on the matter by Johann and Elynn, some of it remains in branches.
We could also limit the impact of the feature by allowing "sub-computation"on a dedicated axis e.g.
with computation(PARALLEL), interval(...)
with sub-comptation(K, PARALLEL), interval(K, ...) or interval(..., K)
with sub-comptation(DDIM[X], PARALLEL)
This would allow data-dimension parallelism (with restriction)
Implement feature in gt4py
OR
Subtasks in finer grain tasks
The text was updated successfully, but these errors were encountered:
Double for loop are a common pattern in column-physics (moist, radiation...). As of this writing the only way to emulate this behavior is to use the a
while
with a local variable which is convoluted and not user friendly.Work was done at AI2 on the matter by Johann and Elynn, some of it remains in branches.
We could also limit the impact of the feature by allowing "sub-computation"on a dedicated axis e.g.
This would allow data-dimension parallelism (with restriction)
gt4py
OR
The text was updated successfully, but these errors were encountered: