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Linux Kernel Debugging

You're reading from   Linux Kernel Debugging Leverage proven tools and advanced techniques to effectively debug Linux kernels and kernel modules

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801075039
Length 638 pages
Edition 1st Edition
Tools
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Author (1):
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Kaiwan N. Billimoria Kaiwan N. Billimoria
Author Profile Icon Kaiwan N. Billimoria
Kaiwan N. Billimoria
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Table of Contents (17) Chapters Close

Preface 1. Part 1: A General Introduction and Approaches to Kernel Debugging
2. Chapter 1: A General Introduction to Debugging Software FREE CHAPTER 3. Chapter 2: Approaches to Kernel Debugging 4. Part 2: Kernel and Driver Debugging Tools and Techniques
5. Chapter 3: Debug via Instrumentation – printk and Friends 6. Chapter 4: Debug via Instrumentation – Kprobes 7. Chapter 5: Debugging Kernel Memory Issues – Part 1 8. Chapter 6: Debugging Kernel Memory Issues – Part 2 9. Chapter 7: Oops! Interpreting the Kernel Bug Diagnostic 10. Chapter 8: Lock Debugging 11. Part 3: Additional Kernel Debugging Tools and Techniques
12. Chapter 9: Tracing the Kernel Flow 13. Chapter 10: Kernel Panic, Lockups, and Hangs 14. Chapter 11: Using Kernel GDB (KGDB) 15. Chapter 12: A Few More Kernel Debugging Approaches 16. Other Books You May Enjoy

Locking – a quick summarization of key points

As mentioned just above, do refer to the Linux Kernel Programming – Part 2 book to brush up on the basics of locking within the Linux kernel (if you need to) – more importantly, on kernel-level debug techniques as well as guidelines on preventing and detecting dangerous locking bugs such as the deadly deadlock.

Nevertheless, I'd like to summarize some really key points with respect to locking here as well. Here they are:

  • A critical section is a code path that can execute in parallel and that works on (reads and/or writes) shared writeable data (also known as shared state).
  • Because it works on shared writable data, the critical section requires protection from the following:
    • Parallelism (that is, it must run alone, serialized, in a mutually exclusive fashion)
    • When running in an atomic (for example, interrupt) non-blocking context, it must run atomically: indivisibly, to completion, without interruption...
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