Mutex in C++

Mutex stands for Mutual Exclusion. In C++, std::mutex class is a synchronization primitive that is used to protect the shared data from being accessed by multiple threads simultaneously. The shared data can be in the form of variables, data structures, etc.

std::mutex class implements mutex in C++. It is defined inside <mutex> header file.

Need for Mutex in C++

In C++, when multiple threads modify the same shared resources simultaneously may cause race conditions. It may produce unpredictable output or unexpected behavior while executing the program. Mutex is used to avoid race conditions by locking the current thread so that all the other threads cannot access the shared resources at that time and unlocking it when the current thread is done. 

Syntax for Mutex in C++

The use of mutex can be divided into three steps:

1. Create a std::mutex Object

std::mutex mutex_object_name;

2. Lock the Thread

The lock() function of the std::mutex class locks the thread and allows only the current thread to run until it is unlocked. It prevents the shared resource from being accessed by multiple threads simultaneously.

mutex_object_name.lock()

3. Unlock the thread

The unlock() of the std::mutex function is used to release the lock after execution of the code piece containing the possibility of race condition occurrence. It resumes all the waiting threads.

mutex_object_name.unlock()

Example of Mutex in C++

Let's create a shared integer variable, which can be accessed globally inside the program. Create a function to increment the number by 1 for 1000000 times using a for loop. Create two threads named thread1 and thread2 to run the same increment() function.

In this case, thread1 will increment the number by 1 for 1000000 times and thread2 will increment the number by 1 for 1000000 times. So the expected output is 2000000.

However, there is a possibility of occurrences of race conditions when multiple threads try to modify the same resource simultaneously. So the value of the number cannot be predicted.

Code Without Mutex Synchronization

// C++ program to illustrate the race conditions 
#include <iostream>
#include <thread>

using namespace std;

// Shared resource
int number = 0;

// function to increment the number
void increment(){
    
    // increment number by 1 for 1000000 times
    for(int i=0; i<1000000; i++){
        number++;
    }
}

int main()
{
    // Create thread t1 to perform increment()
    thread t1(increment);
    
    // Create thread t2 to perform increment()
    thread t2(increment);
    
    // Start both threads simultaneously
    t1.join();
    t2.join();
    
    // Print the number after the execution of both threads
    cout << "Number after execution of t1 and t2 is " << number;
    
    return 0;
}

Output

The same program is executed three times to observe the behavior when modifying shared resources without thread synchronization.

Run 1:

Number after execution of t1 and t2 is 1058072

Run 2:

Number after execution of t1 and t2 is 1456656

Run 3:

Number after execution of t1 and t2 is 2000000

Explanation

It is clearly visible that the output of the program is unpredictable. When two threads are running at the same time causes race cases that create unpredictable output. There is no guarantee that the output to be 2000000. This unpredictable behavior is happening because of the concurrent modification of the same shared variable simultaneously using multiple threads.

Code with Mutex Synchronization

// C++ program to illustrate the thread synchronization using mutex
#include <iostream>
#include <thread>

using namespace std;

// import mutex from C++ standard library
#include <mutex>

// Create object for mutex
mutex mtx;

// Shared resource
int number = 0;

// function to increment the number
void increment(){
    
    // Lock the thread using lock
    mtx.lock();
    
    // increment number by 1 for 1000000 times
    for(int i=0; i<1000000; i++){
        number++;
    }
    
    // Release the lock using unlock()
    mtx.unlock();
}

int main()
{
    // Create thread t1 to perform increment()
    thread t1(increment);
    
    // Create thread t2 to perform increment()
    thread t2(increment);
    
    // Start both threads simultaneously
    t1.join();
    t2.join();
    
    // Print the number after the execution of both threads
    std::cout<<"Number after execution of t1 and t2 is "<<number;
    
    return 0;
}

Output

The same program is executed three times to observe the behavior when modifying shared resource with thread synchronization using mutex.

Run 1:

Number after execution of t1 and t2 is 2000000

Run 2:

Number after execution of t1 and t2 is 2000000

Run 3:

Number after execution of t1 and t2 is 2000000

Explanation

Here, the output is stable. The threads are synchronous. Mutex object pauses all other thread than current thread using lock(). Now, only it allows one thread (current thread) at a time until it is unlocked using unlock() function.

manikandansanmugam

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