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  2. Yield (multithreading) - Wikipedia

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

    In computer science, yield is an action that occurs in a computer program during multithreading, of forcing a processor to relinquish control of the current running thread, and sending it to the end of the running queue, of the same scheduling priority.

  3. Futures and promises - Wikipedia

    en.wikipedia.org/wiki/Futures_and_promises

    If it does not already have a response, then R is stored in the queue of requests inside the F. When F receives the response V from evaluating <Expression>, then V is stored in F and If V is a return value, then all of the queued requests are sent to V. If V is an exception, then it is thrown to the customer of each of the queued requests.

  4. Semaphore (programming) - Wikipedia

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

    wait: Decrements the value of the semaphore variable by 1. If the new value of the semaphore variable is negative, the process executing wait is blocked (i.e., added to the semaphore's queue). Otherwise, the process continues execution, having used a unit of the resource. signal: Increments the value of the semaphore variable by 1. After the ...

  5. Earliest deadline first scheduling - Wikipedia

    en.wikipedia.org/wiki/Earliest_deadline_first...

    Earliest deadline first (EDF) or least time to go is a dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task finishes, new task released, etc.) the queue will be searched for the process closest to its deadline.

  6. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.

  7. Multithreading (computer architecture) - Wikipedia

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

    From the software standpoint, hardware support for multithreading is more visible to software, requiring more changes to both application programs and operating systems than multiprocessing. Hardware techniques used to support multithreading often parallel the software techniques used for computer multitasking. Thread scheduling is also a major ...

  8. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Using a thread pool may be useful even putting aside thread startup time. There are implementations of thread pools that make it trivial to queue up work, control concurrency and sync threads at a higher level than can be done easily when manually managing threads. [4] [5] In these cases the performance benefits of use may be secondary.

  9. Multiprocessing - Wikipedia

    en.wikipedia.org/wiki/Multiprocessing

    Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system. [ 1 ] [ 2 ] The term also refers to the ability of a system to support more than one processor or the ability to allocate tasks between them.