Learn LLVM 17, 2nd Edition A beginner’s guide to learning LLVM compiler tools and core libraries with C++

Free Download Learn LLVM 17, 2nd Edition: A beginner’s guide to learning LLVM compiler tools and core libraries with C++
by Amy Kwan, Kai Nacke
English | 2024 | ISBN: 1837631344 | 416 Pages | MOBI (True) | 1.94 MB

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.
What you will learn
Configure, compile, and install the LLVM framework
Understand how the LLVM source is organized
Discover what you need to do to use LLVM in your own projects
Explore how a compiler is structured, and implement a tiny compiler
Generate LLVM IR for common source language constructs
Set up an optimization pipeline and tailor it for your own needs
Extend LLVM with transformation passes and clang tooling
Add new machine instructions and a complete backend