Book Image

Mastering Linux Kernel Development

By : CH Raghav Maruthi
Book Image

Mastering Linux Kernel Development

By: CH Raghav Maruthi

Overview of this book

Mastering Linux Kernel Development looks at the Linux kernel, its internal arrangement and design, and various core subsystems, helping you to gain significant understanding of this open source marvel. You will look at how the Linux kernel, which possesses a kind of collective intelligence thanks to its scores of contributors, remains so elegant owing to its great design. This book also looks at all the key kernel code, core data structures, functions, and macros, giving you a comprehensive foundation of the implementation details of the kernel’s core services and mechanisms. You will also look at the Linux kernel as well-designed software, which gives us insights into software design in general that are easily scalable yet fundamentally strong and safe. By the end of this book, you will have considerable understanding of and appreciation for the Linux kernel.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Atomic operations


A computation operation is considered to be atomic if it appears to the rest of the system to occur instantaneously. Atomicity guarantees indivisible and uninterruptible execution of the operation initiated. Most CPU instruction set architectures define instruction opcodes that can perform atomic read-modify-write operations on a memory location. These operations have a succeed-or-fail definition, that is, they either successfully change the state of the memory location or fail with no apparent effect.These operations are handy for manipulation of shared data atomically in a multi-threaded scenario. They also serve as foundational building blocks for implementation of exclusion locks, which are engaged to protect shared memory locations from concurrent access by parallel code paths.

Linux kernel code uses atomic operations for various use cases, such as reference counters in shared data structures (which are used to track concurrent access to various kernel data structures...