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LLVM Code Generation

LLVM Code Generation

By : Quentin Colombet
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LLVM Code Generation

LLVM Code Generation

3 (2)
By: Quentin Colombet

Overview of this book

The LLVM infrastructure is a popular compiler ecosystem widely used in the tech industry and academia. This technology is crucial for both experienced and aspiring compiler developers looking to make an impact in the field. Written by Quentin Colombet, a veteran LLVM contributor and architect of the GlobalISel framework, this book provides a primer on the main aspects of LLVM, with an emphasis on its backend infrastructure; that is, everything needed to transform the intermediate representation (IR) produced by frontends like Clang into assembly code and object files. You’ll learn how to write an optimizing code generator for a toy backend in LLVM. The chapters will guide you step by step through building this backend while exploring key concepts, such as the ABI, cost model, and register allocation. You’ll also find out how to express these concepts using LLVM's existing infrastructure and how established backends address these challenges. Furthermore, the book features code snippets that demonstrate the actual APIs. By the end of this book, you’ll have gained a deeper understanding of LLVM. The concepts presented are expected to remain stable across different LLVM versions, making this book a reliable quick reference guide for understanding LLVM.
Table of Contents (30 chapters)
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1
Part 1: Getting Started with LLVM
8
Part 2: Middle-End: LLVM IR to LLVM IR
13
Part 3: Introduction to the Backend
17
Part 4: LLVM IR to Machine IR
22
Part 5: Final Lowering and Optimizations
28
Other Books You May Enjoy
29
Index

Summary

In this chapter, you learned how to set up an instruction selector using one of the two instruction selection frameworks that the LLVM infrastructure provides.

You learned that the instruction selectors worked by executing different phases: translating the input LLVM IR to a generic IR while introducing elements of the ABI, legalizing this IR toward something that the backend can support, and finally selecting the instructions by producing the Machine IR of your backend.

We presented you with the different characteristics of the selectors and provided recommendations so that you can decide which selector to use based on your use cases and preferences.

You learned the specificities of the generic IR used by each selector, namely the SelectionDAG representation for SDISel and the generic Machine IR for GlobalISel, and discovered which APIs to use to manipulate these IRs.

Now that you understand the phases involved in the selectors, we can start going deeper into...

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LLVM Code Generation
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