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

Implementing a new pass

A pass can perform arbitrary complex transformations on the LLVM IR. To illustrate the mechanics of adding a new pass, we add a pass that performs a simple instrumentation.

To investigate the performance of a program, it is interesting to know how often functions are called, and how long they run. One way to collect this data is to insert counters into each function. This process is called instrumentation. We will write a simple instrumentation pass that inserts a special function call at the entry of each function and each exit point. These functions collect the timing information and write it into a file. As a result, we can create a very basic profiler that we’ll name the poor person’s profiler, or in short, ppprofiler. We will develop the new pass so that it can be used as a standalone plugin or added as a plugin to the LLVM source tree. After that, we’ll look at how the passes that come with LLVM are integrated into the framework...