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LLVM Code Generation

You're reading from   LLVM Code Generation A deep dive into compiler backend development

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781837637782
Length 620 pages
Edition 1st Edition
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Author (1):
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Quentin Colombet Quentin Colombet
Author Profile Icon Quentin Colombet
Quentin Colombet
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Toc

Table of Contents (30) Chapters Close

Preface 1. Part 1: Getting Started with LLVM
2. Building LLVM and Understanding the Directory Structure FREE CHAPTER 3. Contributing to LLVM 4. Compiler Basics and How They Map to LLVM APIs 5. Writing Your First Optimization 6. Dealing with Pass Managers 7. TableGen – LLVM Swiss Army Knife for Modeling 8. Part 2: Middle-End: LLVM IR to LLVM IR
9. Understanding LLVM IR 10. Survey of the Existing Passes 11. Introducing Target-Specific Constructs 12. Hands-On Debugging LLVM IR Passes 13. Part 3: Introduction to the Backend
14. Getting Started with the Backend 15. Getting Started with the Machine Code Layer 16. The Machine Pass Pipeline 17. Part 4: LLVM IR to Machine IR
18. Getting Started with Instruction Selection 19. Instruction Selection: The IR Building Phase 20. Instruction Selection: The Legalization Phase 21. Instruction Selection: The Selection Phase and Beyond 22. Part 5: Final Lowering and Optimizations
23. Instruction Scheduling 24. Register Allocation 25. Lowering of the Stack Layout 26. Getting Started with the Assembler 27. Unlock Your Book’s Exclusive Benefits 28. Other Books You May Enjoy
29. Index

Summary

In this chapter, you learned how to leverage the LLVM instruction scheduling infrastructure to customize the scheduling decisions made in your backend.

You saw that the scheduling infrastructure is tied to your subtarget and its customization capabilities hinge on three axes:

  • The mutation of the DDG graph: This allows you to modify the DDG of your input scheduling region by adding or removing constraints.
  • The tweaking of the scheduling strategy: This allows you to modify how the overall scheduling algorithm works, such as how it picks its next candidate in the ready queue or in which direction the scheduling algorithm progresses.
  • The definition of your scheduling model: This provides the scheduling infrastructure with the information it needs to know the resources available in your subtarget and track and optimize their consumption while scheduling the DDGs.

While this chapter scratched only the surface of what you can achieve with these...

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