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

Lex Fridman and Chris Lattner on chris Lattner on Compilers, Swift, TPUs, and ML’s Future Infrastructure.

Lex FridmanhostChris Lattnerguest
May 13, 20191h 13mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 13, 2019
Duration
1h 13m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

SPEAKERS

  • Lex Fridman

    host
  • Chris Lattner

    guest
  • Narrator

    other

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Chris Lattner, Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21 explores chris Lattner on Compilers, Swift, TPUs, and ML’s Future Infrastructure Chris Lattner discusses his journey from early programming to creating LLVM, Clang, and Swift, and how compilers bridge human intent and diverse hardware. He explains the architecture of compilers, why LLVM succeeded as reusable infrastructure, and how Swift was designed for safety, performance, and ease of learning. The conversation then moves to machine learning: TPUs, Swift for TensorFlow, automatic differentiation, and MLIR as a next-generation compiler layer for ML systems. Lattner also reflects on open source culture, his brief but intense experience at Tesla, and the organizational and human aspects of building large-scale compiler communities.

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