Codes Coding Developing 270623

Swift as syntactic sugar for MLIR by Eugene Burmako and Alex Suhan

Codes Coding Developing 270623

How does Swift compile down to MLIR?

At SF ScalaEugene Burmako and Alex Suhan showed us how MLIR enables domain-specific optimizations and code generation. Plus, the exciting prototype technologies they've developed.

Swift as syntactic sugar for MLIR 

Swift works great as an infinitely hackable syntactic interface to semantics that are defined by the compiler underneath it. The two options today are LLVM (there's a running joke that Swift is just syntactic sugar for LLVM) and TensorFlow graphs (which is the contribution of early versions of Swift for TensorFlow). 

Multi-Level Intermediate Representation (MLIR) is a generalization of both the LLVM IR and TensorFlow graphs to represent arbitrary computations at multiple levels of abstraction. This enables domain-specific optimizations and code generation (e.g. for CPUs, GPUs, TPUs, and other hardware targets). 

In the talk, we'll present some thoughts on how Swift could compile down to MLIR and show a few demos of prototype technologies that we've developed.

This talk was given by Eugene Burmako and Alex Suhan at SF Scala