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

The timer interrupt part

Within the timer interrupt (in the code of kernel/sched/core.c:scheduler_tick(), wherein interrupts are disabled), the kernel performs the meta work necessary to keep scheduling running smoothly; this involves the constant updating of the per CPU runqueues as appropriate, load balancing work, and so on. Please be aware that the actual schedule() function is never called here. At best, the scheduling class hook function (for the process context current that was interrupted), sched_class:task_tick()if non-null, is invoked. For example, for any thread belonging to the fair (CFS) class, the update of the vruntime member (the virtual runtime, the (priority-biased) time spent on the processor by the task) is done here in task_tick_fair().

More technically, all this work described in the preceding paragraph occurs within the timer interrupt soft IRQ, TIMER_SOFTIRQ.

Now, a key point, it's the scheduling code that decides: do we need to...