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  2. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    SkeTo is different from other skeleton libraries because instead of providing nestable parallelism patterns, SkeTo provides parallel skeletons for parallel data structures such as: lists, trees, [85] [86] and matrices. [87] The data structures are typed using templates, and several parallel operations can be invoked on them.

  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. 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.

  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. Parallel breadth-first search - Wikipedia

    en.wikipedia.org/wiki/Parallel_breadth-first_search

    With this bag-structure, parallel BFS is allowed to write the vertices of a layer in a single data structure in parallel and later efficiently traverse them in parallel. [4] Moreover, bitmap is also a very useful data structure to memorize which vertices are already visited, regardless in the bottom-up BFS.

  7. Skip list - Wikipedia

    en.wikipedia.org/wiki/Skip_list

    Skip lists are also useful in parallel computing, where insertions can be done in different parts of the skip list in parallel without any global rebalancing of the data structure. Such parallelism can be especially advantageous for resource discovery in an ad-hoc wireless network because a randomized skip list can be made robust to the loss of ...

  8. Bitonic sorter - Wikipedia

    en.wikipedia.org/wiki/Bitonic_sorter

    Bitonic mergesort is a parallel algorithm for sorting. It is also used as a construction method for building a sorting network.The algorithm was devised by Ken Batcher.The resulting sorting networks consist of (⁡ ()) comparators and have a delay of (⁡ ()), where is the number of items to be sorted. [1]

  9. Embarrassingly parallel - Wikipedia

    en.wikipedia.org/wiki/Embarrassingly_parallel

    "Embarrassingly" is used here to refer to parallelization problems which are "embarrassingly easy". [4] The term may imply embarrassment on the part of developers or compilers: "Because so many important problems remain unsolved mainly due to their intrinsic computational complexity, it would be embarrassing not to develop parallel implementations of polynomial homotopy continuation methods."