Hi -
Creating an MLIR dialect is worth considering. I think that conceptually,
MLIR is a reasonable fit. It's less clear to me if in practice the MLIR
code base and community will be ready for other use cases besides
tensorflow. To some degree I'd like to see how it goes with f18.
However, most of the benefits I can imagine of using MLIR or something
like it are at the level of making the compiler easier to write. I wasn't
aware of situations in which MLIR would significantly change the
experience of a Chapel user (as compared to, say, other approaches
to encode Chapel semantics into LLVM IR). Do you know of such a
case, where having some MLIR integration would make a difference
for somebody using Chapel?
Thanks,
-michael
Hi-
Is there any plan of creating an MLIR dialect for Chapel ? Because I think
such an effort may be useful in making Chapel a programming language that is
useful for machine learning - especially for training on distributed hardware.
Thx
-Dibyendu
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