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  2. Weak reference - Wikipedia

    en.wikipedia.org/wiki/Weak_reference

    In computer programming, a weak reference is a reference that does not protect the referenced object from collection by a garbage collector, unlike a strong reference.An object referenced only by weak references – meaning "every chain of references that reaches the object includes at least one weak reference as a link" – is considered weakly reachable, and can be treated as unreachable and ...

  3. Thread safety - Wikipedia

    en.wikipedia.org/wiki/Thread_safety

    Thread safe, MT-safe: Use a mutex for every single resource to guarantee the thread to be free of race conditions when those resources are accessed by multiple threads simultaneously. Thread safety guarantees usually also include design steps to prevent or limit the risk of different forms of deadlocks , as well as optimizations to maximize ...

  4. Monitor (synchronization) - Wikipedia

    en.wikipedia.org/wiki/Monitor_(synchronization)

    While a thread is executing a method of a thread-safe object, it is said to occupy the object, by holding its mutex (lock). Thread-safe objects are implemented to enforce that at each point in time, at most one thread may occupy the object. The lock, which is initially unlocked, is locked at the start of each public method, and is unlocked at ...

  5. List of concurrent and parallel programming languages

    en.wikipedia.org/wiki/List_of_concurrent_and...

    A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a program. A parallel language is able to express programs that are executable on more than one processor.

  6. Yield (multithreading) - Wikipedia

    en.wikipedia.org/wiki/Yield_(multithreading)

    std::this_thread::yield() in the language C++, introduced in C++11. The Yield method is provided in various object-oriented programming languages with multithreading support, such as C# and Java. [2] OOP languages generally provide class abstractions for thread objects. yield in Kotlin

  7. Spurious wakeup - Wikipedia

    en.wikipedia.org/wiki/Spurious_wakeup

    In this way, there is a race condition between all the awakened threads. The first thread to run will win the race and find the condition satisfied, while the other threads will lose the race, and experience a spurious wakeup. [citation needed] The problem of spurious wakeup can be exacerbated on multiprocessor systems.

  8. Lamport's bakery algorithm - Wikipedia

    en.wikipedia.org/wiki/Lamport's_bakery_algorithm

    In this example, all threads execute the same "main" function, Thread. In real applications, different threads often have different "main" functions. Note that as in the original paper, the thread checks itself before entering the critical section. Since the loop conditions will evaluate as false, this does not cause much delay.

  9. Thread-local storage - Wikipedia

    en.wikipedia.org/wiki/Thread-local_storage

    In computer programming, thread-local storage (TLS) is a memory management method that uses static or global memory local to a thread. The concept allows storage of data that appears to be global in a system with separate threads. Many systems impose restrictions on the size of the thread-local memory block, in fact often rather tight limits.