Windows apps
Collapse the table of content
Expand the table of content
The topic you requested is included in another documentation set. For convenience, it's displayed below. Choose Switch to see the topic in its original location.

C++ AMP (C++ Accelerated Massive Parallelism)


The new home for Visual Studio documentation is Visual Studio 2017 Documentation on

C++ AMP (C++ Accelerated Massive Parallelism) accelerates the execution of your C++ code by taking advantage of the data-parallel hardware that's commonly present as a graphics processing unit (GPU) on a discrete graphics card. The C++ AMP programming model includes support for multidimensional arrays, indexing, memory transfer, and tiling. It also includes a mathematical function library. You can use C++ AMP language extensions to control how data is moved from the CPU to the GPU and back.

C++ AMP OverviewDescribes the key features of C++ AMP and the mathematical library.
Using Lambdas, Function Objects, and Restricted FunctionsDescribes how to use lambda expressions, function objects, and restricted functions in calls to the parallel_for_each method.
Using TilesDescribes how to use tiles to accelerate your C++ AMP code.
Using accelerator and accelerator_view ObjectsDescribes how to use accelerators to customize execution of your code on the GPU.
Using C++ AMP in Windows Store AppsDescribes how to use C++ AMP in Windows 8.x Store apps that use Windows Runtime types.
Graphics (C++ AMP)Describes how to use the C++ AMP graphics library.
Walkthrough: Matrix MultiplicationDemonstrates matrix multiplication using C++ AMP code and tiling.
Walkthrough: Debugging a C++ AMP ApplicationExplains how to create and debug an application that uses parallel reduction to sum up a large array of integers.

Reference (C++ AMP)

tile_static Keyword

restrict (C++ AMP)

Parallel Programming in Native Code Blog

C++ AMP sample projects for download

Analyzing C++ AMP Code with the Concurrency Visualizer

© 2018 Microsoft