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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

Slab allocator – a few additional details

A few more key points remain to be explored. First, we’ll divulge some information on using the kernel’s resource-managed versions of the memory allocator APIs, followed by a few additionally available slab helper routines within the kernel, and then have a brief look at cgroups and memory. We recommend you go through these sections as well. Please, do read on!

Using the kernel’s resource-managed memory allocation APIs

Especially useful when working on device drivers, the kernel provides a few managed APIs for memory allocation. These are formally referred to as the device resource-managed or devres APIs (the link to the official kernel documentation on this is https://www.kernel.org/doc/html/latest/driver-api/driver-model/devres.html). All these APIs are prefixed with devm_; though there are several of them, we will focus on only one common use case here – that of using the resource-managed versions...

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