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LLVM Code Generation

LLVM Code Generation

By : Quentin Colombet
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LLVM Code Generation

LLVM Code Generation

1 (1)
By: Quentin Colombet

Overview of this book

The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files. You’ll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You’ll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs. By the end of this book, you’ll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.
Table of Contents (30 chapters)
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1
Part 1: Getting Started with LLVM
8
Part 2: Middle-End: LLVM IR to LLVM IR
13
Part 3: Introduction to the Backend
17
Part 4: LLVM IR to Machine IR
22
Part 5: Final Lowering and Optimizations
28
Other Books You May Enjoy
29
Index

Reporting an issue

LLVM is software and even compilers are not exempt from bugs.

One of the ways you can start contributing to the LLVM project is by reporting issues.

For example, if you find a crash in Clang, it will instruct you how to report this issue and provide you with a reproducer.

If you find an issue in any component while using it, the issue potentially being as simple as missing or incorrect documentation, file an issue (or fix it directly!) in the GitHub tracker at https://github.com/llvm/llvm-project/issues.

In any case, make sure your report is actionable in the following ways:

  • Include the configuration:
    • The version of LLVM
    • The OS
    • How LLVM was built
    • Anything that you think may be relevant (e.g., host CPU, etc.)
  • Upload the reduced input
  • Provide the steps to reproduce
  • Explain how the observed behavior departs from the expected behavior
  • Add labels to help identify...
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LLVM Code Generation
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