- LLVM Cookbook
- Table of Contents
- LLVM Cookbook
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. LLVM Design and Use
- Introduction
- Understanding modular design
- Cross-compiling Clang/LLVM
- Converting a C source code to LLVM assembly
- Converting IR to LLVM bitcode
- Converting LLVM bitcode to target machine assembly
- Converting LLVM bitcode back to LLVM assembly
- Transforming LLVM IR
- Linking LLVM bitcode
- Executing LLVM bitcode
- Using the C frontend Clang
- Using the GO frontend
- Using DragonEgg
- 2. Steps in Writing a Frontend
- Introduction
- Defining a TOY language
- Implementing a lexer
- Defining Abstract Syntax Tree
- Implementing a parser
- Parsing simple expressions
- Parsing binary expressions
- Invoking a driver for parsing
- Running lexer and parser on our TOY language
- Defining IR code generation methods for each AST class
- Generating IR code for expressions
- Generating IR code for functions
- Adding IR optimization support
- 3. Extending the Frontend and Adding JIT Support
- 4. Preparing Optimizations
- 5. Implementing Optimizations
- 6. Target-independent Code Generator
- Introduction
- The life of an LLVM IR instruction
- Visualizing LLVM IR CFG using GraphViz
- Describing targets using TableGen
- Defining an instruction set
- Adding a machine code descriptor
- Implementing the MachineInstrBuilder class
- Implementing the MachineBasicBlock class
- Implementing the MachineFunction class
- Writing an instruction selector
- Legalizing SelectionDAG
- Optimizing SelectionDAG
- Selecting instruction from the DAG
- Scheduling instructions in SelectionDAG
- 7. Optimizing the Machine Code
- 8. Writing an LLVM Backend
- 9. Using LLVM for Various Useful Projects
- Index
The book is for compiler programmers who are familiar with concepts of compilers and want to indulge in understanding, exploring, and using LLVM infrastructure in a meaningful way in their work.
This book is also for programmers who are not directly involved in compiler projects but are often involved in development phases where they write thousands of lines of code. With knowledge of how compilers work, they will be able to code in an optimal way and improve performance with clean code.
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