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LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries

You're reading from   LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries Design powerful and reliable compilers using the latest libraries and tools from LLVM

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Product type Paperback
Published in Apr 2021
Publisher Packt
ISBN-13 9781838824952
Length 370 pages
Edition 1st Edition
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Author (1):
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Min-Yih Hsu Min-Yih Hsu
Author Profile Icon Min-Yih Hsu
Min-Yih Hsu
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Build System and LLVM-Specific Tooling
2. Chapter 1: Saving Resources When Building LLVM FREE CHAPTER 3. Chapter 2: Exploring LLVM's Build System Features 4. Chapter 3: Testing with LLVM LIT 5. Chapter 4: TableGen Development 6. Section 2: Frontend Development
7. Chapter 5: Exploring Clang's Architecture 8. Chapter 6: Extending the Preprocessor 9. Chapter 7: Handling AST 10. Chapter 8: Working with Compiler Flags and Toolchains 11. Section 3: "Middle-End" Development
12. Chapter 9: Working with PassManager and AnalysisManager 13. Chapter 10: Processing LLVM IR 14. Chapter 11: Gearing Up with Support Utilities 15. Chapter 12: Learning LLVM IR Instrumentation 16. Assessments 17. Other Books You May Enjoy

Summary

In this chapter, we started by introducing Clang's driver and the role of the toolchain – the module that provides platform-specific information such as the supported assemblers and linkers – that assisted it. Then, we showed you one of the most common ways to customize the driver – adding a new driver flag. After that, we talked about the toolchain and, most importantly, how to create a custom one. These skills are really useful when you want to create a new feature in Clang (or even LLVM) and need a custom compiler flag to enable it. Also, the ability to develop a custom toolchain is crucial for supporting Clang on new operating systems, or even new hardware architecture.

This is the final chapter of the second part of this book. Starting from the next chapter, we will talk about LLVM's middle end – the platform-independent program analysis and optimization framework.

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