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  2. Simultaneous and heterogeneous multithreading - Wikipedia

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

    The system defines virtual processors and virtual operations (VOPs). VOPs decompose into one or more high-level operations (HLOPs). It then distributes the operations across the processors. The runtime system then dynamically maps virtual processors to physical processors, assessing resource availability in order to keep all the processors busy.

  3. List of concurrent and parallel programming languages

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

    Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model . 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 ...

  4. Hyper-threading - Wikipedia

    en.wikipedia.org/wiki/Hyper-threading

    Overall the performance history of hyper-threading was a mixed one in the beginning. As one commentary on high-performance computing from November 2002 notes: [20] Hyper-Threading can improve the performance of some MPI applications, but not all. Depending on the cluster configuration and, most importantly, the nature of the application running ...

  5. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. [1] Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.

  6. Theoretical computer science - Wikipedia

    en.wikipedia.org/wiki/Theoretical_computer_science

    Parallel computing is a form of computation in which many calculations are carried out simultaneously, [40] operating on the principle that large problems can often be divided into smaller ones, which are then solved "in parallel". There are several different forms of parallel computing: bit-level, instruction level, data, and task parallelism.

  7. Concurrency (computer science) - Wikipedia

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

    The parallel random-access machine [10] The actor model; Computational bridging models such as the bulk synchronous parallel (BSP) model; Petri nets; Process calculi. Calculus of communicating systems (CCS) Communicating sequential processes (CSP) model; π-calculus; Tuple spaces, e.g., Linda; Simple Concurrent Object-Oriented Programming (SCOOP)

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  9. Bulk synchronous parallel - Wikipedia

    en.wikipedia.org/wiki/Bulk_Synchronous_Parallel

    The bulk synchronous parallel (BSP) abstract computer is a bridging model for designing parallel algorithms. It is similar to the parallel random access machine (PRAM) model, but unlike PRAM, BSP does not take communication and synchronization for granted. In fact, quantifying the requisite synchronization and communication is an important part ...