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Linux Kernel Programming

You're reading from   Linux Kernel Programming A comprehensive guide to kernel internals, writing kernel modules, and kernel synchronization

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781789953435
Length 754 pages
Edition 1st Edition
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Author (1):
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Kaiwan N. Billimoria Kaiwan N. Billimoria
Author Profile Icon Kaiwan N. Billimoria
Kaiwan N. Billimoria
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Table of Contents (19) Chapters Close

Preface 1. Section 1: The Basics
2. Kernel Workspace Setup FREE CHAPTER 3. Building the 5.x Linux Kernel from Source - Part 1 4. Building the 5.x Linux Kernel from Source - Part 2 5. Writing Your First Kernel Module - LKMs Part 1 6. Writing Your First Kernel Module - LKMs Part 2 7. Section 2: Understanding and Working with the Kernel
8. Kernel Internals Essentials - Processes and Threads 9. Memory Management Internals - Essentials 10. Kernel Memory Allocation for Module Authors - Part 1 11. Kernel Memory Allocation for Module Authors - Part 2 12. The CPU Scheduler - Part 1 13. The CPU Scheduler - Part 2 14. Section 3: Delving Deeper
15. Kernel Synchronization - Part 1 16. Kernel Synchronization - Part 2 17. About Packt 18. Other Books You May Enjoy

Understanding process and interrupt contexts

In Chapter 4, Writing Your First Kernel Module – LKMs, Part 1, we presented a brief section entitled Kernel architecture I (if you haven't read it yet, I suggest you do so before continuing). We will now expand on this discussion.

It's critical to understand that most modern OSes are monolithic in design. The word monolithic literally means a single large piece of stone. We shall defer a little later to how exactly this applies to our favorite OS! For now, we understand monolithic as meaning this: when a process or thread issues a system call, it switches to (privileged) kernel mode and executes kernel code, and possibly works on kernel data. Yes, there is no kernel or kernel thread executing code on its behalf; the process (or thread) itself executes kernel code. Thus, we say that kernel code executes within the context of a user space process or thread – we call this the ...

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