Book Image

Linux Kernel Programming - Second Edition

By : Kaiwan N. Billimoria
Book Image

Linux Kernel Programming - Second Edition

By: Kaiwan N. Billimoria

Overview of this book

The 2nd Edition of Linux Kernel Programming is an updated, comprehensive guide for new programmers to the Linux kernel. This book uses the recent 6.1 Long-Term Support (LTS) Linux kernel series, which will be maintained until Dec 2026, and also delves into its many new features. Further, the Civil Infrastructure Project has pledged to maintain and support this 6.1 Super LTS (SLTS) kernel right until August 2033, keeping this book valid for years to come! You’ll begin this exciting journey by learning how to build the kernel from source. In a step by step manner, you will then learn how to write your first kernel module by leveraging the kernel’s powerful Loadable Kernel Module (LKM) framework. With this foundation, you will delve into key kernel internals topics including Linux kernel architecture, memory management, and CPU (task) scheduling. You’ll finish with understanding the deep issues of concurrency, and gain insight into how they can be addressed with various synchronization/locking technologies (e.g., mutexes, spinlocks, atomic/refcount operators, rw-spinlocks and even lock-free technologies such as per-CPU and RCU). By the end of this book, you’ll have a much better understanding of the fundamentals of writing the Linux kernel and kernel module code that can straight away be used in real-world projects and products.
Table of Contents (16 chapters)
14
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15
Index

Kernel Internals Essentials – Processes and Threads

With the previous chapter, you’re now in a good position to understand and write simple kernel modules. In this chapter, we begin our exploration of Linux kernel internals, a vast and complex topic. In this book, we do not intend to delve very deep into the details of kernel and memory internals. At the same time, I would like to provide sufficient and requisite background knowledge for a budding kernel module author or device driver developer like you to successfully tackle the key topics necessary to understand kernel architecture in terms of how processes, threads, and their stacks are managed. Armed with this knowledge, you’ll be able to better understand the coming chapters on correctly and efficiently managing dynamic kernel memory. As a side benefit, you will find yourself becoming more proficient at debugging both user and kernel space code.

I have divided the discussion on essential kernel internals...