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9min chapter
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
Lex Fridman Podcast
Compilers vs. Neural Networks: Optimizing the Future
This chapter explores the parallels and divergences between compilers and neural networks in terms of representation and optimization techniques. It highlights historical optimization strategies, the evolution of programming languages, and how machine learning can potentially enhance compiler algorithms. Additionally, the chapter discusses the impact of virtual machines like the Java Virtual Machine on the compilation process and the benefits and challenges of modern architectures.
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Discover
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