pthreads mutex vs semaphore

semaphores have a synchronized counter and mutex's are just binary (true / false).

A semaphore is often used as a definitive mechanism for answering how many elements of a resource are in use -- e.g., an object that represents n worker threads might use a semaphore to count how many worker threads are available.

Truth is you can represent a semaphore by an INT that is synchronized by a mutex.

mutex is used to avoid race condition between multiple threads.

whereas semaphore is used as synchronizing element used across multiple process.

mutex can't be replaced with binary semaphore since, one process waits for semaphore while other process releases semaphore. In case mutex both acquisition and release is handled by same.

Mutexes can be applied only to threads in a single process and do not work between processes as do semaphores.

This two articles explain great details about mutex vs semaphores Also this stack overflow answer tells the similar answer.

I am going to talk about Mutex vs Binary-Semaphore. You obviously use mutex to prevent data in one thread from being accessed by another thread at the same time.

(Assume that you have just called lock() and in the process of accessing a data. This means that, you don’t expect any other thread (or another instance of the same thread-code) to access the same data locked by the same mutex. That is, if it is the same thread-code getting executed on a different thread instance, hits the lock, then the lock() should block the control flow.)

This applies to a thread that uses a different thread-code, which is also accessing the same data and which is also locked by the same mutex.

In this case, you are still in the process of accessing the data and you may take, say, another 15 secs to reach the mutex unlock (so that the other thread that is getting blocked in mutex lock would unblock and would allow the control to access the data).

Do you ever allow another thread to just unlock the same mutex, and in turn, allow the thread that is already waiting (blocking) in the mutex lock to unblock and access the data? (Hope you got what I am saying here.)

As per agreed-upon universal definition,

• with “mutex” this can’t happen. No other thread can unlock the lock in your thread
• with “binary-semaphore” this can happen. Any other thread can unlock the lock in your thread

So, if you are very particular about using binary-semaphore instead of mutex, then you should be very careful in “scoping” the locks and unlocks, I mean, that every control-flow that hits every lock should hit an unlock call and also there shouldn’t be any “first unlock”, rather it should be always “first lock”.

Semaphore is more used as flag, for which your really don't need to bring RTOS / OS. Semaphore can be accidentally or deliberately changed by other threads (say due to bad coding). When you thread use mutex, it owns the resources. No other thread can ever access it, before resource get free.

The difference between the semaphore and mutex is the difference between mechanism and pattern. The difference is in their purpose (intent)and how they work(behavioral).

The mutex, barrier, pipeline are parallel programming patterns. Mutex is used(intended) to protect a critical section and ensure mutual exclusion. Barrier makes the agents(thread/process) keep waiting for each other.

One of the feature(behavior) of mutex pattern is that only allowed agent(s)(process or thread) can enter a critical section and only that agent(s) can voluntarily get out of that.

There are cases when mutex allows single agent at a time. There are cases where it allows multiple agents(multiple readers) and disallow some other agents(writers).

The semaphore is a mechanism that can be used(intended) to implement different patterns. It is(behavior) generally a flag(possibly protected by mutual exclusion). (One interesting fact is even mutex pattern can be used to implement semaphore).

In popular culture, semaphores are mechanisms provided by kernels, and mutexes are provided by user-space library.

Note, there are misconceptions about semaphores and mutexes. It says that semaphores are used for synchronization. And mutexes has ownership. This is due to popular OS books. But mutexes0. The intent of mutex is not ownership but mutual exclusion. This misconception gave the rise of popular interview question asking the difference of the mutexes and binary-semaphores.

Summary,

• mutex, mutual exclusion
• semaphore, implement parallel design patterns

• mutex, only the allowed agent(s) enters critical section and only it(they) can exit
• semaphore, enter if the flag says go, otherwise wait until someone changes the flag

In design perspective, mutex is more like state-pattern where the algorithm that is selected by the state can change the state. The binary-semaphore is more like strategy-pattern where the external algorithm can change the state and eventually the algorithm/strategy selected to run.

The Toilet Example

Mutex:

Is a key to a toilet. One person can have the key - occupy the toilet - at the time. When finished, the person gives (frees) the key to the next person in the queue.

"Mutexes are typically used to serialise access to a section of re-entrant code that cannot be executed concurrently by more than one thread. A mutex object only allows one thread into a controlled section, forcing other threads which attempt to gain access to that section to wait until the first thread has exited from that section."

(A mutex is really a semaphore with value 1.)

Semaphore:

Is the number of free identical toilet keys. For Example, say we have four toilets with identical locks and keys. The semaphore count - the count of keys - is set to 4 at beginning (all four toilets are free), then the count value is decremented as people are coming in. If all toilets are full, ie. there are no free keys left, the semaphore count is 0. Now, when eq. one person leaves the toilet, semaphore is increased to 1 (one free key), and given to the next person in the queue.

"A semaphore restricts the number of simultaneous users of a shared resource up to a maximum number. Threads can request access to the resource (decrementing the semaphore), and can signal that they have finished using the resource (incrementing the semaphore)."

Source

Mutex is like sempaphore with with S=1.

You can control number of concurrent accesses with semaphore but with mutex only one process at a time can access it.

See the implemenation of these two below: (all functions are atomic)

Semaphore:

wait(S) {
while (S <= 0 )
; // busy wait
S--;
}


signal(S) {
S++;
}

Mutex:

acquire() {
while (!available)
; // busy wait
available = false;
}


release() {
available = true;
}