Book Image

Learn LLVM 17 - Second Edition

By : Kai Nacke, Amy Kwan
Book Image

Learn LLVM 17 - Second Edition

By: Kai Nacke, Amy Kwan

Overview of this book

LLVM was built to bridge the gap between the theoretical knowledge found in compiler textbooks and the practical demands of compiler development. With a modular codebase and advanced tools, LLVM empowers developers to build compilers with ease. This book serves as a practical introduction to LLVM, guiding you progressively through complex scenarios and ensuring that you navigate the challenges of building and working with compilers like a pro. The book starts by showing you how to configure, build, and install LLVM libraries, tools, and external projects. You’ll then be introduced to LLVM's design, unraveling its applications in each compiler stage: frontend, optimizer, and backend. Using a real programming language subset, you'll build a frontend, generate LLVM IR, optimize it through the pipeline, and generate machine code. Advanced chapters extend your expertise, covering topics such as extending LLVM with a new pass, using LLVM tools for debugging, and enhancing the quality of your code. You'll also focus on just-in-time compilation issues and the current state of JIT-compilation support with LLVM. Finally, you’ll develop a new backend for LLVM, gaining insights into target description and how instruction selection works. By the end of this book, you'll have hands-on experience with the LLVM compiler development framework through real-world examples and source code snippets.
Table of Contents (20 chapters)
1
Part 1: The Basics of Compiler Construction with LLVM
4
Part 2: From Source to Machine Code Generation
10
Part 3: Taking LLVM to the Next Level
14
Part 4: Roll Your Own Backend

Summary

In this chapter, you learned how throwing and catching exceptions work in LLVM and the IR you can generate to exploit this feature. To enhance the scope of IR, you learned how you can attach various metadata to instructions. Metadata for type-based alias analysis provides additional information to the LLVM optimizer and helps with certain optimizations to produce better machine code. Users always appreciate the possibility of using a source-level debugger, and by adding debug information to the IR code, you can implement this important feature of a compiler.

Optimizing the IR code is the core task of LLVM. In the next chapter, we will learn how the pass manager works and how we can influence the optimization pipeline the pass manager governs.