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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

Visualizing the flow via alternate (CLI) approaches

There are, of course, alternate ways to visualize what's running on each processor; we mention a couple here and have saved one other interesting one (LTTng) for Chapter 11, The CPU Scheduler – Part 2, under the Visualization with LTTng and Trace Compass section):

  • With perf(1), again, run the sudo perf sched record command; this records activity. Stop by terminating it with the ^C signal, followed by sudo perf sched map to see a (CLI) map of execution on the processor(s).
  • Some simple Bash scripting can show what's executing on a given core (a simple wrapper over ps(1)). In the following snippet, we show sample Bash functions; for example, the following c0() function shows what is currently executing on CPU core #0, while c1() does the same for core #1:
# Show thread(s) running on cpu core 'n' - func c'n'
function c0()
{
ps -eLF | awk '{ if($5==0) print...
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