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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 .
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.
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Hermes Project: C++/Python library for rapid prototyping of space- and space-time adaptive hp-FEM solvers. IML++ is a C++ library for solving linear systems of equations, capable of dealing with dense, sparse, and distributed matrices. IT++ is a C++ library for linear algebra (matrices and vectors), signal processing and communications ...
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.
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]
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.
Collective operations are building blocks for interaction patterns, that are often used in SPMD algorithms in the parallel programming context. Hence, there is an interest in efficient realizations of these operations. A realization of the collective operations is provided by the Message Passing Interface [1] (MPI).