Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Getting started with LLVM core libraries
  • Table Of Contents Toc
Getting started with LLVM core libraries

Getting started with LLVM core libraries

By : Bruno Lopes, Auler
4.3 (18)
Buy this Book
close
close
Getting started with LLVM core libraries

Getting started with LLVM core libraries

4.3 (18)
By: Bruno Lopes, Auler
Buy this Book

Overview of this book

In today’s fast-paced world of change, companies expect you to do more, with less. Drawing on over a decade of Change Management experience as a consultant with Fortune 500 companies including IBM and NCR, Emily Carr shares the secrets to making change happen smoothly.
Table of Contents (12 chapters)
close
close
close
Preface
Icon
Preface
Icon
What this book covers
Icon
What you need for this book
Icon
Who this book is for
Icon
Conventions
Icon
Reader feedback
Icon
Customer support
Lock Free Chapter
1
1. Build and Install LLVM
Icon
1. Build and Install LLVM
Icon
Understanding LLVM versions
Icon
Obtaining prebuilt packages
Icon
Building from sources
Icon
Summary
2
2. External Projects
Icon
2. External Projects
Icon
Introducing Clang extras
Icon
Using the DragonEgg plugin
Icon
Summary
3
3. Tools and Design
Icon
3. Tools and Design
Icon
Introducing LLVM's basic design principles and its history
Icon
Understanding LLVM today
Icon
Interacting with the compiler driver
Icon
Using standalone tools
Icon
Delving into the LLVM internal design
Icon
Writing your first LLVM project
Icon
Navigating the LLVM source – general advice
Icon
Summary
4
4. The Frontend
Icon
4. The Frontend
Icon
Introducing Clang
Icon
Learning the frontend phases with Clang
Icon
Putting it together
Icon
Summary
5
5. The LLVM Intermediate Representation
Icon
5. The LLVM Intermediate Representation
Icon
Overview
Icon
Exercising basic tools to manipulate the IR formats
Icon
Introducing the LLVM IR language syntax
Icon
Writing a custom LLVM IR generator
Icon
Optimizing at the IR level
Icon
Summary
6
6. The Backend
Icon
6. The Backend
Icon
Overview
Icon
Learning the backend code structure
Icon
Knowing the backend libraries
Icon
Learning how to use TableGen for LLVM backends
Icon
Understanding the instruction selection phase
Icon
Scheduler
Icon
Machine instructions
Icon
Register allocation
Icon
Prologue and epilogue
Icon
Understanding the machine code framework
Icon
Writing your own machine pass
Icon
Summary
7
7. The Just-in-Time Compiler
chevron up
Icon
7. The Just-in-Time Compiler
Icon
Getting to know the LLVM JIT engine basics
Icon
Introducing the llvm::JIT framework
Icon
Introducing the llvm::MCJIT framework
Icon
Using LLVM JIT compilation tools
Icon
Other resources
Icon
Summary
8
8. Cross-platform Compilation
Icon
8. Cross-platform Compilation
Icon
Comparing GCC and LLVM
Icon
Understanding target triples
Icon
Preparing your toolchain
Icon
Cross-compiling with Clang command-line arguments
Icon
Generating a Clang cross-compiler
Icon
Testing
Icon
Additional resources
Icon
Summary
9
9. The Clang Static Analyzer
Icon
9. The Clang Static Analyzer
Icon
Understanding the role of a static analyzer
Icon
Testing the static analyzer
Icon
Extending the static analyzer with your own checkers
Icon
More resources
Icon
Summary
10
10. Clang Tools with LibTooling
Icon
10. Clang Tools with LibTooling
Icon
Generating a compile command database
Icon
The clang-tidy tool
Icon
Refactoring tools
Icon
Writing your own tool
Icon
More resources
Icon
Summary
11
Index
Icon
Index

Getting to know the LLVM JIT engine basics

The LLVM JIT compiler is function-based because it is able to compile a single function at a time. This defines the granularity at which the compiler works, which is an important decision of a JIT system. By compiling functions on demand, the system will only work on the functions that are actually used in this program invocation. For example, if your program has several functions but you supplied wrong command-line arguments while launching it, a function-based JIT system will only compile the function that prints the help message instead of the whole program.

Note

In theory, we can push the granularity even further and compile only the traces, which are specific paths of the function. By doing this, you are already leveraging an important advantage of JIT systems: knowledge about which program paths deserve more compilation effort than others in a program invocation with a given input. However, the LLVM JIT system does not support trace-based compilation...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Getting started with LLVM core libraries
End of Section 7
Next Section
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon