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  2. 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 ...

  3. Join-pattern - Wikipedia

    en.wikipedia.org/wiki/Join-pattern

    Join Java [30] is a language based on the Java programming language allowing the use of the join calculus. It introduces three new language constructs: Join methods is defined by two or more Join fragments. A Join method will execute once all the fragments of the Join pattern have been called.

  4. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    The following example is based on the Java Skandium library for parallel programming. The objective is to implement an Algorithmic Skeleton-based parallel version of the QuickSort algorithm using the Divide and Conquer pattern. Notice that the high-level approach hides Thread management from the programmer.

  5. Fork–join model - Wikipedia

    en.wikipedia.org/wiki/Fork–join_model

    Fork–join is the main model of parallel execution in the OpenMP framework, although OpenMP implementations may or may not support nesting of parallel sections. [6] It is also supported by the Java concurrency framework, [ 7 ] the Task Parallel Library for .NET, [ 8 ] and Intel's Threading Building Blocks (TBB). [ 1 ]

  6. Pointer jumping - Wikipedia

    en.wikipedia.org/wiki/Pointer_jumping

    Pointer jumping or path doubling is a design technique for parallel algorithms that operate on pointer structures, such as linked lists and directed graphs.Pointer jumping allows an algorithm to follow paths with a time complexity that is logarithmic with respect to the length of the longest path.

  7. Explicit parallelism - Wikipedia

    en.wikipedia.org/wiki/Explicit_parallelism

    A skilled parallel programmer may take advantage of explicit parallelism to produce efficient code for a given target computation environment. However, programming with explicit parallelism is often difficult, especially for non-computing specialists, because of the extra work and skill involved in developing it.

  8. Futures and promises - Wikipedia

    en.wikipedia.org/wiki/Futures_and_promises

    In computer science, futures, promises, delays, and deferreds are constructs used for synchronizing program execution in some concurrent programming languages.Each is an object that acts as a proxy for a result that is initially unknown, usually because the computation of its value is not yet complete.

  9. Parallel programming model - Wikipedia

    en.wikipedia.org/wiki/Parallel_programming_model

    The implementation of a parallel programming model can take the form of a library invoked from a programming language, as an extension to an existing languages. Consensus around a particular programming model is important because it leads to different parallel computers being built with support for the model, thereby facilitating portability of ...