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Linux Kernel Programming

You're reading from  Linux Kernel Programming

Product type Book
Published in Mar 2021
Publisher Packt
ISBN-13 9781789953435
Pages 754 pages
Edition 1st Edition
Languages
Author (1):
Kaiwan N. Billimoria Kaiwan N. Billimoria
Profile icon Kaiwan N. Billimoria
Toc

Table of Contents (19) Chapters close

Preface 1. Section 1: The Basics
2. Kernel Workspace Setup 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 variables

As the name suggests, per-CPU variables work by keeping a copy of the variable, the data item in question, assigned to each (live) CPU on the system. In effect, we get rid of the problem area for concurrency, the critical section, by avoiding the sharing of data between threads. With the per-CPU data technique, since every CPU refers to its very own copy of the data, a thread running on that processor can manipulate it without any worry of racing. (This is roughly analogous to local variables; as locals are on the private stack of each thread, they aren't shared between threads, thus there's no critical section and no need for locking.) Here, too, the need for locking is thus eliminated – making it a lock-free technology!

So, think of this: if you are running on a system with four live CPU cores, then a per-CPU variable on that system is essentially an array of four elements: element 0 represents the data value on the first CPU...

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