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Mastering Embedded Linux Development

You're reading from   Mastering Embedded Linux Development Craft fast and reliable embedded solutions with Linux 6.6 and The Yocto Project 5.0 (Scarthgap)

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Product type Paperback
Published in May 2025
Publisher Packt
ISBN-13 9781803232591
Length 710 pages
Edition 4th Edition
Tools
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Authors (2):
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Frank Vasquez Frank Vasquez
Author Profile Icon Frank Vasquez
Frank Vasquez
Chris Simmonds Chris Simmonds
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Chris Simmonds
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Toc

Table of Contents (28) Chapters Close

Preface 1. Part 1: Elements of Embedded Linux
2. Starting Out FREE CHAPTER 3. Learning about Toolchains 4. All about Bootloaders 5. Configuring and Building the Kernel 6. Building a Root Filesystem 7. Part 2: Building Embedded Linux Images
8. Selecting a Build System 9. Developing with Yocto 10. Yocto under the Hood 11. Part 3: System Architecture and Design Decisions
12. Creating a Storage Strategy 13. Updating Software in the Field 14. Interfacing with Device Drivers 15. Prototyping with Add-On Boards 16. Starting Up – The init Program 17. Managing Power 18. Part 4: Developing Applications
19. Packaging Python 20. Deploying Container Images 21. Learning about Processes and Threads 22. Managing Memory 23. Part 5: Debugging and Optimizing Performance
24. Debugging with GDB 25. Profiling and Tracing 26. Real-Time Programming 27. Index

Process or thread?

Many embedded developers who are familiar with real-time operating systems (RTOSs) consider the Unix process model to be cumbersome. On the other hand, they see a similarity between an RTOS task and a Linux thread, and they have a tendency to transfer an existing design using a one-to-one mapping of RTOS tasks to threads. I have, on several occasions, seen designs in which the entire application is implemented with one process containing 40 or more threads. I want to spend some time considering whether this is a good idea or not. Let’s begin with some definitions.

A process is a memory address space and a thread of execution, as shown in the following diagram. The address space is private to the process, so threads running in different processes cannot access it. This memory separation is created by the memory management subsystem in the kernel, which keeps a memory page mapping for each process and reprograms the memory management unit on each context...

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