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

Determining the context

As you now know, kernel code runs in one of two contexts:

  • Process (or task) context
  • Interrupt (or atomic) context

They are mutually exclusive – kernel code runs in either the process or atomic/interrupt context at any given point in time.

Often, when writing kernel or driver code, it is imperative for you to first figure out what context the code that you're working on is running in. One way to learn this is by employing the following macro:

#include <linux/preempt.h>
in_task()

It returns a Boolean: True if your code is running in process (or task) context, where it's – usually – safe to sleep; returning False implies you are in some kind of atomic or interrupt context where it is never safe to sleep.

You might have come across the usage of the in_interrupt() macro; if it returns True, your code is within an interrupt context, if False, it isn't. However, the recommendation for modern code is to ...