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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 .
library or framework: List of cross-platform multi-threading libraries for the C++ programming language. ... Parallel Patterns Library; POCO C++ Libraries Threading;
This version adds a C++ parallel computing library called the Parallel Patterns Library, partial support for C++11, significantly improved IntelliSense based on the Edison Design Group front end, [37] and performance improvements to both the compiler and generated code. [38] This version is built on .NET 4.0, but supports compiling to machine code.
Pattern Name and Classification: A descriptive and unique name that helps in identifying and referring to the pattern. Intent: A description of the goal behind the pattern and the reason for using it. Also Known As: Other names for the pattern. Motivation (Forces): A scenario consisting of a problem and a context in which this pattern can be used.
Join-patterns provides a way to write concurrent, parallel and distributed computer programs by message passing.Compared to the use of threads and locks, this is a high level programming model using communication constructs model to abstract the complexity of concurrent environment and to allow scalability.
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 ...
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.
The SkeTo [84] project is a C++ library which achieves parallelization using MPI. 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]