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

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

By : Min-Yih Hsu
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LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries

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

5 (7)
By: Min-Yih Hsu

Overview of this book

Every programmer or engineer, at some point in their career, works with compilers to optimize their applications. Compilers convert a high-level programming language into low-level machine-executable code. LLVM provides the infrastructure, reusable libraries, and tools needed for developers to build their own compilers. With LLVM’s extensive set of tooling, you can effectively generate code for different backends as well as optimize them. In this book, you’ll explore the LLVM compiler infrastructure and understand how to use it to solve different problems. You’ll start by looking at the structure and design philosophy of important components of LLVM and gradually move on to using Clang libraries to build tools that help you analyze high-level source code. As you advance, the book will show you how to process LLVM IR – a powerful way to transform and optimize the source program for various purposes. Equipped with this knowledge, you’ll be able to leverage LLVM and Clang to create a wide range of useful programming language tools, including compilers, interpreters, IDEs, and source code analyzers. By the end of this LLVM book, you’ll have developed the skills to create powerful tools using the LLVM framework to overcome different real-world challenges.
Table of Contents (18 chapters)
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1
Section 1: Build System and LLVM-Specific Tooling
6
Section 2: Frontend Development
11
Section 3: "Middle-End" Development

Chapter 1: Saving Resources When Building LLVM

LLVM is the state-of-the-art compiler optimization and code generation framework adopted by many amazing industrial and academic projects, such as the Just-In-Time (JIT) compiler in JavaScript engines and machine learning (ML) frameworks. It is a useful toolbox for building programming languages and binary file tools. However, despite the project's robustness, its learning resources are scattered, and it doesn't have the best documentation either. Due to this, it has a pretty steep learning curve, even for developers with some LLVM experience. This book aims to tackle these issues by providing you with knowledge of common and important domains in LLVM in a pragmatic fashion – showing you some useful engineering tips, pointing out lesser-known but handy features, and illustrating useful examples.

As an LLVM developer, building LLVM from source has always been the first thing you should do. Given the scale of LLVM nowadays, this task can take hours to finish. Even worse, rebuilding the project to reflect changes might also take a long time and hinder your productivity. Therefore, it's crucial to know how to use the right tools and how to find the best build configurations for your project for the sake of saving various resources, especially your precious time.

In this chapter, we are going to cover the following topics:

  • Cutting down building resources with better tooling
  • Saving building resources by tweaking CMake arguments
  • Learning how to use GN, an alternative LLVM build system, and its pros and cons
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LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries
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