Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Linux Kernel Programming

You're reading from   Linux Kernel Programming A comprehensive guide to kernel internals, writing kernel modules, and kernel synchronization

Arrow left icon
Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781789953435
Length 754 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Kaiwan N. Billimoria Kaiwan N. Billimoria
Author Profile Icon Kaiwan N. Billimoria
Kaiwan N. Billimoria
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: The Basics
2. Kernel Workspace Setup FREE CHAPTER 3. Building the 5.x Linux Kernel from Source - Part 1 4. Building the 5.x Linux Kernel from Source - Part 2 5. Writing Your First Kernel Module - LKMs Part 1 6. Writing Your First Kernel Module - LKMs Part 2 7. Section 2: Understanding and Working with the Kernel
8. Kernel Internals Essentials - Processes and Threads 9. Memory Management Internals - Essentials 10. Kernel Memory Allocation for Module Authors - Part 1 11. Kernel Memory Allocation for Module Authors - Part 2 12. The CPU Scheduler - Part 1 13. The CPU Scheduler - Part 2 14. Section 3: Delving Deeper
15. Kernel Synchronization - Part 1 16. Kernel Synchronization - Part 2 17. About Packt 18. Other Books You May Enjoy

Per-CPU – an example kernel module

A hands-on session with our sample per-CPU demo kernel module will definitely help in using this powerful feature (code here: ch13/2_percpu). Here, we define and use two per-CPU variables:

  • A statically allocated and initialized per-CPU integer
  • A dynamically allocated per-CPU data structure

As an interesting way to help demo per-CPU variables, let's do this: we shall arrange for our demo kernel module to spawn off a couple of kernel threads. Let's call them thrd_0 and thrd_1. Furthermore, once created, we shall make use of the CPU mask (and API) to affine our thrd_0 kernel thread on CPU 0 and our thrd_1 kernel thread on CPU 1 (hence, they will be scheduled to run on only these cores; of course, we must test this code on a VM with at least two CPU cores).

The following code snippets illustrate how we define and use the per-CPU variables (we leave out the code that creates the kernel...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime