Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

I always wondered why the creator of Rust switched to Swift and just now found my answer by Graydon Hoare himself: [LINK] tl;dr it has nothing to do with the relative merits of the two languages --- Edit: I watched a couple of Lex Fridman podcasts this week with Chris Lattner (creator of Swift) that I thought were interesting Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21 [VIDEO] Chris Lattner: The Future of Computing and Programming Languages | Lex Fridman Podcast #131 [LINK]

Chris Lattner also has a very good episode on Lex Fridman (Episode 381, June 2nd, 2023): - [LINK] - [LINK] - [LINK] He has two other episodes on the show: - [LINK] (Episode 131, October 18th, 2020) - [VIDEO] (Episode 21, May 13th, 2019)

How does this relate to all the work that Christ Lattner et al have been doing at Google with Swift, MLIR, etc.?[a] Is this... a separate, parallel, more encompassing proposal? Is there any coordination between these two groups? -- [a] [VIDEO]

> Aren't there already many ML libraries for compiled languages out there or are you referring to something else? Something else. If your program is a well-defined set of operations (basically matrix operations for ML), you can optimize the whole specific program instead of calling bunch of individually optimized functions from the library and target a specific hardware (e.g. given GPU). Check for example Chris Lattner’s interview [1] and presentations on MLIR, or proceedings of C4ML workshop [2]. Application in distributed systems: from the top of my head - protobufs, compilation of Erlang and Elixir to BEAM, dask. [1] [VIDEO] [2] [LINK]