Book Image

Linux Kernel Programming

By : Kaiwan N. Billimoria
Book Image

Linux Kernel Programming

By: Kaiwan N. Billimoria

Overview of this book

Linux Kernel Programming is a comprehensive introduction for those new to Linux kernel and module development. This easy-to-follow guide will have you up and running with writing kernel code in next-to-no time. This book uses the latest 5.4 Long-Term Support (LTS) Linux kernel, which will be maintained from November 2019 through to December 2025. By working with the 5.4 LTS kernel throughout the book, you can be confident that your knowledge will continue to be valid for years to come. You’ll start the journey by learning how to build the kernel from the source. Next, you’ll write your first kernel module using the powerful Loadable Kernel Module (LKM) framework. The following chapters will cover key kernel internals topics including Linux kernel architecture, memory management, and CPU scheduling. During the course of this book, you’ll delve into the fairly complex topic of concurrency within the kernel, understand the issues it can cause, and learn how they can be addressed with various locking technologies (mutexes, spinlocks, atomic, and refcount operators). You’ll also benefit from more advanced material on cache effects, a primer on lock-free techniques within the kernel, deadlock avoidance (with lockdep), and kernel lock debugging techniques. By the end of this kernel book, you’ll have a detailed understanding of the fundamentals of writing Linux kernel module code for real-world projects and products.
Table of Contents (19 chapters)
1
Section 1: The Basics
6
Writing Your First Kernel Module - LKMs Part 2
7
Section 2: Understanding and Working with the Kernel
10
Kernel Memory Allocation for Module Authors - Part 1
11
Kernel Memory Allocation for Module Authors - Part 2
14
Section 3: Delving Deeper
17
About Packt

Summary

In this chapter, we continued where we left off in the previous chapter. We covered, in a good amount of detail, how you can create and use your own custom slab caches (useful when your driver or module very frequently allocates and frees a certain data structure), and how to use some kernel infrastructure to help you debug slab (SLUB) memory issues. We then learned about and used the kernel vmalloc APIs (and friends), including how to set up given memory protections on memory pages. With the wealth of memory APIs and strategies available to you, how do you select which one to use in a given situation? We covered this important concern with a useful decision chart and table. Finally, we delved into understanding what exactly the kernel's OOM killer component is and how to work with it.

As I have mentioned before, sufficiently deep knowledge of the Linux memory management internals and exported API set will go a long way in helping you as a kernel module and/or device...