mutexes

Imagine, if you will, a pair of mutexes; we'll call them count_mutex and rand_mutex.

OK, now it's time to see all the different ways to use mutexes.

So far, you have used a mutex or multiple mutexes included as part of the data structure for synchronization.

Mutexes will insert a "memory barrier, " which ensures that the writes to main memory occur in the order the threads lock the mutex.

pthread_mutexes can be created with different locking policies.

Deadlock can also happen if threads do not unlock mutexes properly.

Mutexes provide mutual exclusion for one or more data objects and are the primary method of thread synchronization.

But parallel computing is more than just using mutexes and condition variables in random functions and methods.

Robust mutexes solve the problem of cleaning up locks properly after an application holding locks crashes.

An important problem associated with mutexes is the possibility of deadlock.

You should have a basic understanding of thread creation, mutexes, and condition variables, as well.

Finally, we explore kernel mutexes, which are built on top of the atomic API.

Mutexes are available in the kernel as a way to accomplish semaphore behavior.

Linux pthread mutexes are supported by fast user-space mutexes, known as futexes.

Almost free as code size, you need no semaphores nor mutexes. * Almost free as code size, you need no semaphores nor mutexes.

For achieving synchronization, you can use mutexes.

First of all, mutexes are used to serialize access to *shared data*.

I added mutexes to the shared data structures and add locks to most methods.

The most common building blocks of intertask communication are semaphores and mutexes.

Mutexes are system-wide objects which multiple processes can see.

Thus no mutexes are held by the signal while a slot is executing.

But mutexes are faster and more compact than the current kernel semaphore option, so if they fit your need, they're the choice to use.

Part 3 covers mutexes, critical sections, and wait functions.

These mutexes are not visible to Java code, only VM C code.

I've used a combination of mutexes and spinlocks to keep things synchronized.

Higher-level interfaces enable much simpler code, even if there are still mutexes and such under the covers.

Another problem with mutexes is that contention for a mutex can lead to priority inversion.

To produce predictable code, you'll want to use mutexes.

The most commo building lock of intertask communication are semaphore and mutexes.

If you place too many mutexes, your code won't have any kind of concurrency and will run slower than a single-threaded solution.

Mutexes are necessary tools for threaded programs, but they can't do everything.

The decision about which mutexes to lock is made based on data only available at runtime. This is the essence of the problem.

As with mutexes, it's possible that these calls won't do very much in some implementations, but you should make them anyway.

This is how mutexes work.

Implementing counters and mutexes with locking