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  2. Semaphore (programming) - Wikipedia

    en.wikipedia.org/wiki/Semaphore_(programming)

    A mutex is a locking mechanism that sometimes uses the same basic implementation as the binary semaphore. However, they differ in how they are used. While a binary semaphore may be colloquially referred to as a mutex, a true mutex has a more specific use-case and definition, in that only the task that locked the mutex is supposed to unlock it ...

  3. Producer–consumer problem - Wikipedia

    en.wikipedia.org/wiki/Producer–consumer_problem

    The original semaphore bounded buffer solution was written in ALGOL style. The buffer can store N portions or elements. The "number of queueing portions" semaphore counts the filled locations in the buffer, the "number of empty positions" semaphore counts the empty locations in the buffer and the semaphore "buffer manipulation" works as mutex for the buffer put and get operations.

  4. Sleeping barber problem - Wikipedia

    en.wikipedia.org/wiki/Sleeping_barber_problem

    There are several possible solutions, but all solutions require a mutex, which ensures that only one of the participants can change state at once.The barber must acquire the room status mutex before checking for customers and release it when they begin either to sleep or cut hair; a customer must acquire it before entering the shop and release it once they are sitting in a waiting room or ...

  5. Synchronization (computer science) - Wikipedia

    en.wikipedia.org/wiki/Synchronization_(computer...

    Some semaphores would allow only one thread or process in the code section. Such Semaphores are called binary semaphore and are very similar to Mutex. Here, if the value of semaphore is 1, the thread is allowed to access and if the value is 0, the access is denied. [15]

  6. Dining philosophers problem - Wikipedia

    en.wikipedia.org/wiki/Dining_philosophers_problem

    Illustration of the dining philosophers problem. Each philosopher has a bowl of spaghetti and can reach two of the forks. In computer science, the dining philosophers problem is an example problem often used in concurrent algorithm design to illustrate synchronization issues and techniques for resolving them.

  7. Counting problem (complexity) - Wikipedia

    en.wikipedia.org/wiki/Counting_problem_(complexity)

    Note that c R is a search problem while #R is a decision problem, however c R can be C Cook-reduced to #R (for appropriate C) using a binary search (the reason #R is defined the way it is, rather than being the graph of c R, is to make this binary search possible).

  8. Binary-code compatibility - Wikipedia

    en.wikipedia.org/wiki/Binary-code_compatibility

    Binary-code compatibility (binary compatible or object-code compatible) is a property of a computer system, meaning that it can run the same executable code, typically machine code for a general-purpose computer central processing unit (CPU), that another computer system can run.

  9. Barrier (computer science) - Wikipedia

    en.wikipedia.org/wiki/Barrier_(computer_science)

    For example, thread 1 with state value is 0 means it's stopping at the barrier, thread 2 with state value is 1 means it has passed the barrier, thread 3's state value = 0 means it's stopping at the barrier and so on. [5] This is known as Sense-Reversal. [1] The following C code demonstrates this: [3] [6]