Compiler Engineering for AI Hardware: MLIR, TVM, XLA, and Custom Backends for Neural Network Accelerators (AI Infrastructure, Hardware & Compiler Engineering Series)
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Compiler Engineering for AI Hardware: MLIR, TVM, XLA, and Custom Backends for Neural Network Accelerators (AI Infrastructure, Hardware & Compiler Engineering Series)

by Chatvariety Team

Engineering Technology Computer Science artificial intelligence
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A focused guide to compiler engineering for AI hardware, covering MLIR, TVM, XLA, and custom backends for neural network accelerators. This volume in the AI Infrastructure, Hardware & Compiler Engineering Series provides a concise introduction to key technologies at the intersection of compilers, AI infrastructure, and specialized hardware.

About This Book

Compiler Engineering for AI Hardware introduces the compiler technologies named in its subtitle: MLIR, TVM, XLA, and custom backends.

The book focuses on the relationship between compiler engineering and neural network accelerators, offering a subject-centered resource for readers interested in AI infrastructure.

It is part of the AI Infrastructure, Hardware & Compiler Engineering Series and is authored by the Chatvariety Team.

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I will be using this book for: