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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 10: Processing LLVM IR

In the previous chapter, we learned about PassManager and AnalysisManager in LLVM. We went through some tutorials for developing an LLVM pass and how to retrieve program analysis data via AnalysisManager. The knowledge and skills we acquired help to build the foundation for developers to create composable building blocks for code transformation and program analysis.

In this chapter, we are going to focus on the methodology of processing LLVM IR. LLVM IR is a target-independent intermediate representation for program analysis and compiler transformation. You can think of LLVM IR as an alternative form of the code you want to optimize and compile. However, different from the C/C++ code you're familiar with, LLVM IR describes the program in a different way – we will give you a more concrete idea later. The majority of the magic that's done by LLVM that makes the input program faster or smaller after the compilation process is performed...

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