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

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 Overview

Describes the key features of C++ AMP and the mathematical library.

Using Lambdas, Function Objects, and Restricted Functions

Describes how to use lambda expressions, function objects, and restricted functions in calls to the parallel_for_each method.

Using Tiles

Describes how to use tiles to accelerate your C++ AMP code.

Using accelerator and accelerator_view Objects

Describes how to use accelerators to customize execution of your code on the GPU.

Using C++ AMP in Windows Store Apps

Describes how to use C++ AMP in Windows Store apps that use Windows Runtime (WinRT) types.

Graphics (C++ AMP)

Describes how to use the C++ AMP graphics library.

Walkthrough: Matrix Multiplication

Demonstrates matrix multiplication using C++ AMP code and tiling.

Walkthrough: Debugging a C++ AMP Application

Explains 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)

Other Resources

Parallel Programming in Native Code Blog

C++ AMP sample projects for download

Analyzing C++ AMP Code with the Concurrency Visualizer