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Aart Tells Us About Machine Learning Compilers (MLIR)

Aart Tells Us About Machine Learning Compilers (MLIR)

Released Friday, 30th April 2021
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Aart Tells Us About Machine Learning Compilers (MLIR)

Aart Tells Us About Machine Learning Compilers (MLIR)

Aart Tells Us About Machine Learning Compilers (MLIR)

Aart Tells Us About Machine Learning Compilers (MLIR)

Friday, 30th April 2021
Good episode? Give it some love!
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Dr. Aart Bik is a Staff Software Engineer at Google where he works on MLIR, a compiler architecture project that uses extensible compiler infrastructure alongside LLVM to build better compilers for Machine Learning.

Timestamps:
1:10 - An explanation of MLIR and LLVM compilers
2:30 - Compilers are more than just translating high level code to assembly
6:00 - Progressive Lowering in LLVM and MLIR
7:40 - MLIR is largely agnostic of hardware
9:00 - TPUs
9:40 - AlphaZero, the ML and TPU powered chess engine, explained
13:00 - The ML behind language translation
16:30 - Will the future advancements in ML come hardware or from software?
20:39 - Performance improvements with MLIR
22:43 - Using fuzz testing to build better software including compilers
31:00 - Code up a hobbyist project based on LLVM if you want to learn more about compilers
32:28 - In your opinion, what is the best piece of software ever built?

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