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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. Parallelism (grammar) - Wikipedia

    en.wikipedia.org/wiki/Parallelism_(grammar)

    In grammar, parallelism, also known as parallel structure or parallel construction, is a balance within one or more sentences of similar phrases or clauses that have the same grammatical structure. [1] The application of parallelism affects readability and may make texts easier to process. [2]

  6. Outline (list) - Wikipedia

    en.wikipedia.org/wiki/Outline_(list)

    An outline, also called a hierarchical outline, is a list arranged to show hierarchical relationships and is a type of tree structure. An outline is used [1] to present the main points (in sentences) or topics of a given subject. Each item in an outline may be divided into additional sub-items.

  7. Automatic parallelization - Wikipedia

    en.wikipedia.org/wiki/Automatic_parallelization

    The programming control structures on which autoparallelization places the most focus are loops, because, in general, most of the execution time of a program takes place inside some form of loop. There are two main approaches to parallelization of loops: pipelined multi-threading and cyclic multi-threading. [ 3 ]

  8. Loop-level parallelism - Wikipedia

    en.wikipedia.org/wiki/Loop-level_parallelism

    The opportunity for loop-level parallelism often arises in computing programs where data is stored in random access data structures. Where a sequential program will iterate over the data structure and operate on indices one at a time, a program exploiting loop-level parallelism will use multiple threads or processes which operate on some or all ...

  9. List ranking - Wikipedia

    en.wikipedia.org/wiki/List_ranking

    The list ranking problem was posed by Wyllie (1979), who solved it with a parallel algorithm using logarithmic time and O(n log n) total steps (that is, O(n) processors).). Over a sequence of many subsequent papers, this was eventually improved to linearly many steps (O(n/log n) processors), on the most restrictive model of synchronous shared-memory parallel computation, the exclusive read ...