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  2. Computer multitasking - Wikipedia

    en.wikipedia.org/wiki/Computer_multitasking

    Often multitasking operating systems include measures to change the priority of individual tasks, so that important jobs receive more processor time than those considered less significant. Depending on the operating system, a task might be as large as an entire application program, or might be made up of smaller threads that carry out portions ...

  3. Concurrent computing - Wikipedia

    en.wikipedia.org/wiki/Concurrent_computing

    For example, concurrent processes can be executed on one core by interleaving the execution steps of each process via time-sharing slices: only one process runs at a time, and if it does not complete during its time slice, it is paused, another process begins or resumes, and then later the original process is resumed. In this way, multiple ...

  4. Multithreading (computer architecture) - Wikipedia

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

    Conceptually, it is similar to cooperative multi-tasking used in real-time operating systems, in which tasks voluntarily give up execution time when they need to wait upon some type of event. This type of multithreading is known as block, cooperative or coarse-grained multithreading.

  5. Concurrency (computer science) - Wikipedia

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

    For example, Lee and Sangiovanni-Vincentelli have demonstrated that a so-called "tagged-signal" model can be used to provide a common framework for defining the denotational semantics of a variety of different models of concurrency, [11] while Nielsen, Sassone, and Winskel have demonstrated that category theory can be used to provide a similar ...

  6. Simultaneous and heterogeneous multithreading - Wikipedia

    en.wikipedia.org/wiki/Simultaneous_and...

    Simultaneous and heterogeneous multithreading (SHMT) is a software framework that takes advantage of heterogeneous computing systems that contain a mixture of central processing units (CPUs), graphics processing units (GPUs), and special purpose machine learning hardware, for example Tensor Processing Units (TPUs).

  7. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    Most real programs fall somewhere on a continuum between task parallelism and data parallelism. [3] Thread-level parallelism (TLP) is the parallelism inherent in an application that runs multiple threads at once. This type of parallelism is found largely in applications written for commercial servers such as databases. By running many threads ...

  8. Real-time computing - Wikipedia

    en.wikipedia.org/wiki/Real-time_computing

    Soft real-time systems are typically used to solve issues of concurrent access and the need to keep a number of connected systems up-to-date through changing situations. Some examples of soft real-time systems: Software that maintains and updates the flight plans for commercial airliners. The flight plans must be kept reasonably current, but ...

  9. Simultaneous multithreading - Wikipedia

    en.wikipedia.org/wiki/Simultaneous_multithreading

    Coarse-grain multithreading is more common for less context switch between threads. For example, Intel's Montecito processor uses coarse-grained multithreading, while Sun's UltraSPARC T1 uses fine-grained multithreading. For those processors that have only one pipeline per core, interleaved multithreading is the only possible way, because it ...