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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

Summary

In this chapter, we augmented the workspace of the compiler by processing the static source code and capturing the program's runtime behaviors. In the first part of this chapter, we learned how to use the infrastructure provided by LLVM to create a sanitizer – a technique that inserts instrumentation code into the target program for the sake of checking certain runtime properties. By using a sanitizer, software engineers can improve their development quality with ease and with high precision. In the second part of this chapter, we extended the usages of such runtime data to the domain of compiler optimization; PGO is a technique that uses dynamic information, such as the execution frequency of basic blocks or functions, to make more aggressive decisions for optimizing the code. Finally, we learned how to access such data with an LLVM Pass, which enables us to add PGO enhancement to existing optimizations.

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