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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
5 (7)
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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

Understanding CMake integration for out-of-tree projects

Implementing your features in an in-tree project is good for prototyping, since most of the infrastructure is already there. However, there are many scenarios where pulling the entire LLVM source tree into your code base is not the best idea, compared to creating an out-of-tree project and linking it against the LLVM libraries. For example, you only want to create a small code refactoring tool using LLVM's features and open source it on GitHub, so telling developers on GitHub to download a multi-gigabyte LLVM source tree along with your little tool might not be a pleasant experience.

There are at least two ways to configure out-of-tree projects to link against LLVM:

  • Using the llvm-config tool
  • Using LLVM's CMake modules

Both approaches help you sort out all the details, including header files and library paths. However, the latter creates more concise and readable CMake scripts, which is preferable...

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