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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

Multicore SMP systems and data races

The first point is pretty obvious; take a look at the pseudocode shown in the following screenshot:

Figure 12.5 – Pseudocode  a critical section within a (fictional) driver's read method; it's wrong as there's no locking

It's a similar situation to what we showed in Figures 12.1 and 12.3; it's just that here, we're showing the concurrency in terms of pseudocode. Clearly, from time t2 to time t3, the driver is working on some global shared writeable data, thus making this a critical section.

Now, visualize a system with, say, four CPU cores (an SMP system); two user space processes, P1 (running on, say, CPU 0) and P2 (running on, say, CPU 2), can concurrently open the device file and simultaneously issue a read(2) system call. Now, both processes will be concurrently executing the driver read "method", thus simultaneously working on shared writeable data...

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