Understanding RCU in the Linux Kernel: Beginner-Friendly Guide

1️⃣ Introduction

Traversing kernel data structures safely is one of the most common challenges for Linux kernel developers.
For example, iterating over all running processes seems straightforward, but the task list may change while you are reading it.

If a process exits while your code is traversing the list, it could cause a use-after-free error, leading to a kernel crash.

Traditional locks like mutexes or spinlocks can prevent crashes but block readers, slowing down read-heavy workloads.

The Linux kernel solves this problem with RCU (Read-Copy-Update) — a mechanism that allows lockless reads while writers safely update data.

In this post, we’ll cover:

What RCU is and why it exists
How to use rcu_read_lock() and rcu_read_unlock()
A small kernel module demo to safely log processes and memory info
Step-by-step walkthrough and exercises for practice

2️⃣ Why RCU Exists

The problem

Imagine iterating over the task list while another part of the kernel modifies it:

Reader: prints PID and name of each process
Writer: adds or removes processes

Without protection:

Readers may see invalid or freed memory
Kernel could crash

Traditional locks solve safety issues, but every reader blocks the writer, which can reduce performance in read-heavy workloads (like process monitoring, networking, or filesystem operations).

The solution: RCU

RCU provides:

Read-side protection: rcu_read_lock() / rcu_read_unlock()
Grace periods: writers defer freeing memory until all readers are done
High performance for read-dominated workloads

Text-based diagram (conceptual):

Readers never block writers
Writers wait only for grace period, not for each reader individually

3️⃣ Minimal RCU Example

Here’s how you safely iterate over processes with RCU:

struct task_struct *task;

rcu_read_lock();
for_each_process(task) {
    printk(KERN_INFO "PID=%d, Name=%s\n", task->pid, task->comm);
}
rcu_read_unlock();

Timer triggers every 5 sec │ ▼ log_proc_mem() function │ ├── Read memory info │ ├── rcu_read_lock() │ └── for_each_process() → printk PID+Name │ └── rcu_read_unlock()

Key Takeaways

RCU allows lockless reads, making the kernel efficient for read-heavy workloads

Always use rcu_read_lock() / rcu_read_unlock() for RCU-protected data

Understanding RCU in the Linux Kernel: A Beginner’s Guide

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1️⃣ Introduction

2️⃣ Why RCU Exists

The problem

The solution: RCU

3️⃣ Minimal RCU Example

Command Palette

Comments

More from this blog

1️⃣ Introduction

2️⃣ Why RCU Exists

The problem

The solution: RCU

3️⃣ Minimal RCU Example