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Linux Kernel Programming

Linux Kernel Programming

By : Kaiwan N. Billimoria
4.9 (35)
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Linux Kernel Programming

Linux Kernel Programming

4.9 (35)
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)
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14
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15
Index

Kernel Synchronization – Part 2

This chapter continues the discussion on the fairly complex topics of kernel synchronization and dealing with concurrency within the kernel in general, from the previous chapter. I suggest that, if you haven’t already, you first read the previous chapter and then continue with this one.

Here, we shall continue our learning with respect to the vast topic of kernel synchronization and handling concurrency when in kernel space. As before, the material is targeted at kernel and/or device driver/module developers. In this chapter, we shall cover the following:

  • Using the atomic_t and refcount_t interfaces
  • Using the RMW atomic operators
  • Using the reader-writer spinlock
  • Understanding CPU caching basics, cache effects, and false sharing
  • Lock-free programming with per-CPU and RCU
  • Lock debugging within the kernel
  • Introducing memory barriers
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