Linux clone System Call Internals: How Threads, pthread_create(), and TLS Really Work

Clone system call in linux kernel A complete guide

The Linux clone system call is the foundation of how threads, processes, and even containers are created in modern Linux systems. While most application developers rely on high-level APIs such as pthread_create(), the real implementation of multithreading in Linux exists at the kernel level and is centered around clone(). Unlike operating systems that treat threads and processes as fundamentally different kernel objects, Linux uses a unified execution model. In this model, both threads and processes are created using the same kernel mechanism—the Linux clone system call- by selectively sharing resources. Understanding how pthread_create() maps to clone(), how thread-local storage (TLS) is initialized, and how the Linux kernel manages thread lifecycles is essential for:

  • Systems programmers
  • Embedded Linux developers
  • Runtime and language implementers
  • Kernel and OS interview preparation

This article explores Linux multithreading from the inside out, with a strong focus on the linux clone system call and its role in thread creation.  In our previous article, we explored synchronization concepts such as mutexes and deadlocks. This article goes deeper into how Linux implements threads internally at the kernel level.

The Linux clone() system call is the core mechanism used by the kernel to create both processes and threads.
By selectively sharing resources such as memory, file descriptors, and signal handlers, clone() enables Linux’s unified task model. High-level APIs like pthread_create() rely on clone() internally to implement efficient, kernel-managed multithreading.

Linux Threads from a Kernel Perspective

Linux does not implement threads and processes as separate kernel entities.

Instead, Linux uses a single abstraction called a task, represented internally by the task_struct data structure. Every executable entity—whether a process, a thread, or a kernel worker—is a task created by the Linux clone system call.

What Differentiates a Thread from a Process in Linux?

  • Not the scheduler
  • Not the internal data structure
  • Not the execution state
  • Only resource sharing.

In Linux, a thread is simply a task created with shared resources.

Resources Commonly Shared by Threads

  • Virtual memory address space
  • File descriptor table
  • Signal handlers
  • Filesystem context
  • Thread group membership

This unified design makes the Linux kernel simpler, more efficient, and extremely flexible.

 

Start Your Training Journey Today

 

The Linux clone System Call

Purpose of the Linux clone System Call

The linux clone system call allows the creation of a new task while giving precise control over which resources are shared with the parent task.

Unlike fork(), which duplicates most process resources, clone() allows selective sharing. This flexibility enables Linux to implement:

  • POSIX threads
  • Kernel threads
  • Containers and namespaces
  • Runtime-managed execution models

The behavior of the linux clone system call is entirely determined by the flags passed to it.

clone() Flags Used for Thread Creation

The Linux threading model is implemented by passing a specific combination of flags to the clone system call.

Important clone() Flags

  • CLONE_VM – Share the same virtual address space
  • CLONE_FS – Share filesystem information
  • CLONE_FILES – Share file descriptor table
  • CLONE_SIGHAND – Share signal handlers
  • CLONE_THREAD – Place the task in the same thread group
  • CLONE_SETTLS – Initialize thread-local storage

When these flags are combined, the newly created task behaves as a POSIX thread rather than an independent process.

Linux clone System Call vs fork()

One of the most common Linux interview questions involves the difference between fork() and the linux clone system call.

fork(): Traditional Process Creation

  • Creates a new process
  • Uses copy-on-write memory
  • New thread group
  • Independent execution

clone(): Flexible Task Creation

  • Can share or duplicate resources
  • Can create threads or processes
  • Used by pthreads, containers, and runtimes

Comparison Table

Featurefork()Linux clone()
Virtual memoryCopy-on-writeShared (optional)
File descriptorsCopiedShared (optional)
Thread groupNewSame (optional)
TLS supportNoYes
Used for threadsNoYes

Key insight:
fork() is essentially a constrained use case of the linux clone system call.

Process vs Thread in the Linux Kernel

From the kernel’s perspective:

  • There is no structural difference between a process and a thread
  • Both are represented by task_struct
  • Both are scheduled identically
  • Both compete equally for CPU time

The Real Difference: Resource Sharing

ResourceProcessThread
Virtual memorySeparateShared
StackSeparateSeparate
File descriptorsSeparateShared
Signal handlersSeparateShared
Scheduler viewIdenticalIdentical

This explains why threads can corrupt shared memory, crash entire processes, and require careful synchronization.

Stack Management in the Linux clone System Call

A critical distinction between fork() and the linux clone system call is stack handling.

fork()

  • Kernel automatically manages the stack

clone()

  • Caller must explicitly provide a stack pointer

Each thread must have its own stack, even though the address space is shared. This low-level requirement is one reason application code should not call clone() directly.

 

Explore Courses - Learn More

 

pthread_create() as a Wrapper Around clone()

Role of POSIX Threads

The POSIX thread library (libpthread) provides a standardized, portable API for multithreading. Internally, it uses the linux clone system call to create threads.

What pthread_create() Does Internally

  • Allocates a thread stack
  • Initializes thread attributes
  • Sets up thread descriptors
  • Initializes TLS
  • Invokes clone() with the correct flags

Mapping pthread_create() to the Linux clone System Call

Although pthread_create() is not a system call, it ultimately relies on the linux clone system call to create a new kernel task.

The flags passed ensure:

  • Shared memory
  • POSIX-compliant signal behavior
  • Correct thread group membership

Linux therefore implements a 1:1 threading model, where each user-space thread corresponds to one kernel task.

Thread-Local Storage (TLS) in Linux

Why TLS Is Required

In multithreaded applications, global variables are shared across threads. Thread-local storage allows each thread to maintain its own private data.

Common TLS use cases include:

  • errno
  • Thread-safe C libraries
  • Per-thread runtime state

TLS Implementation Using clone()

TLS is established during thread creation using:

  • CLONE_SETTLS
  • A Thread Control Block (TCB)
  • Architecture-specific CPU registers

This design provides fast, lock-free access to per-thread data and is critical for high-performance multithreaded execution.

User-Space Threads vs Kernel Threads

User-Space Threads

  • Managed entirely by libraries
  • Kernel sees only one task
  • No true parallelism

Kernel Threads (Linux Model)

  • Each thread is visible to the kernel
  • Scheduled independently
  • True multi-core parallelism

Linux’s reliance on the linux clone system call enables its robust 1:1 threading model.

Thread Lifecycle Management in Linux

Creation

  • User space allocates stacks and metadata
  • Kernel creates a new task using clone()

Execution

  • Threads are scheduled like processes
  • Scheduling policies apply equally

Synchronization

  • Mutexes
  • Condition variables
  • Semaphores

Implemented using a combination of user-space fast paths and kernel support.

Termination

  • Thread exits or returns
  • Resources are reclaimed
  • Joining threads are notified

Design Best Practices

  • Use pthread_create() for portability
  • Avoid direct use of the linux clone system call unless building runtimes
  • Minimize shared global state
  • Understand TLS for performance-sensitive code
  • Manage thread lifetimes carefully

Key Insight

In Linux, threads are not special entities.
They are simply tasks created using the linux clone system call with shared resources.
This single idea represents true kernel-level understanding.

Linux Multithreading Interview Questions for Freshers

Basic Linux Multithreading Questions

1. What is a thread in Linux?
Answer:
A thread is a lightweight execution unit within a process. In Linux, a thread is implemented as a kernel task that shares resources such as memory and file descriptors with other threads of the same process.

2. What is the difference between a process and a thread?
Answer:
A process has its own memory and resources, while threads share the same memory and resources of a process but have separate stacks.

3. How does Linux implement threads internally?
Answer:
Linux implements threads using the clone() system call. Threads are tasks created with shared resources such as memory and file descriptors.

4. What system call is used to create threads in Linux?
Answer:
Linux uses the clone() system call to create threads.

5. Is pthread_create() a system call?
Answer:
No. pthread_create() is a user-space function provided by the POSIX thread library. Internally, it uses the clone() system call.

6. What is the difference between fork() and thread creation?
Answer:
fork() creates a new process with a separate address space, while thread creation shares the same address space using clone().

POSIX Threads (pthreads) Questions

7. What is pthread_create() used for?
Answer:
pthread_create() is used to create a new thread in a process.

8. What arguments does pthread_create() take?
Answer:
It takes a thread ID, thread attributes, a function pointer, and an argument to pass to the function.

9. What is pthread_join()?
Answer:
pthread_join() waits for a thread to finish execution and collects its return value.

10. What happens if a thread exits?
Answer:
The thread stops execution and releases its resources. Other threads continue running.

 

Talk to Academic Advisor

Frequently Asked Questions

Yes. Most Indian universities prefer real-time, hardware-based AI projects.

TinyML models run fully offline on microcontrollers like ESP32.

ESP32 is popular due to low cost, good performance, and TinyML support.

Yes. They align well with core electronics and embedded systems syllabi.

Author

Embedded Systems trainer – IIES

Updated On: 28-01-26


10+ years of hands-on experience delivering practical training in Embedded Systems and it's design