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  2. Parallel Patterns Library - Wikipedia

    en.wikipedia.org/wiki/Parallel_Patterns_Library

    The Parallel Patterns Library is a Microsoft library designed for use by native C++ developers that provides features for multicore programming. [1] It was first bundled with Visual Studio 2010 . It resembles the C++ Standard Library in style and works well with the C++11 language feature, lambdas, also introduced with Visual Studio 2010 .

  3. Algorithmic skeleton - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_skeleton

    The Muenster Skeleton Library Muesli [51] [52] is a C++ template library which re-implements many of the ideas and concepts introduced in Skil, e.g. higher order functions, currying, and polymorphic types . It is built on top of MPI 1.2 and OpenMP 2.5 and supports, unlike many other skeleton libraries, both task and data parallel skeletons.

  4. Software design pattern - Wikipedia

    en.wikipedia.org/wiki/Software_design_pattern

    In software engineering, a software design pattern or design pattern is a general, reusable solution to a commonly occurring problem in many contexts in software design. [1] A design pattern is not a rigid structure that can be transplanted directly into source code. Rather, it is a description or a template for solving a particular type of ...

  5. Threading Building Blocks - Wikipedia

    en.wikipedia.org/wiki/Threading_Building_Blocks

    oneAPI Threading Building Blocks (oneTBB; formerly Threading Building Blocks or TBB) is a C++ template library developed by Intel for parallel programming on multi-core processors. Using TBB, a computation is broken down into tasks that can run in parallel. The library manages and schedules threads to execute these tasks.

  6. Map (parallel pattern) - Wikipedia

    en.wikipedia.org/wiki/Map_(parallel_pattern)

    Some parallel programming systems, such as OpenMP and Cilk, have language support for the map pattern in the form of a parallel for loop; [2] languages such as OpenCL and CUDA support elemental functions (as "kernels") at the language level. The map pattern is typically combined with other parallel design patterns.

  7. 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 ]

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