Packt

Advanced Linux Kernel Programming: Concurrency and Sync

Packt

Advanced Linux Kernel Programming: Concurrency and Sync

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Implement synchronization mechanisms such as mutexes, spinlocks, and atomic operations in Linux kernels.

  • Analyze and prevent race conditions, deadlocks, and concurrency issues in kernel module development.

  • Apply RCU and thread-safe programming practices to build efficient Linux kernel components.

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Recently updated!

July 2026

Assessments

2 assignments

Taught in English

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This course is part of the Linux Kernel Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course

This module introduces essential kernel synchronization concepts, including critical sections, mutexes, and spinlocks, with a focus on preventing data races and ensuring thread safety in concurrent Linux kernel environments. Learners will explore practical guidelines for identifying concurrency concerns, selecting appropriate locking mechanisms, and handling interrupts safely. Real-world examples and API usage are provided to reinforce best practices in kernel development.

What's included

1 video20 readings1 assignment

This module delves into advanced kernel synchronization mechanisms, including atomic operations, RCU (Read-Copy-Update), and lock debugging tools. Learners will explore practical techniques for managing concurrency, preventing deadlocks, and ensuring data consistency in multicore environments. The module also covers cache coherency, per-CPU variables, and memory barriers to enhance reliable kernel development.

What's included

1 video28 readings1 assignment

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