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 headers are deprecated starting with Visual Studio 2022 version 17.0.
Including any AMP headers will generate build errors. Define
_SILENCE_AMP_DEPRECATION_WARNINGS before including any AMP headers to silence the warnings.
|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 UWP Apps||Describes how to use C++ AMP in Universal Windows Platform (UWP) apps that use Windows Runtime 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)
restrict (C++ AMP)
Parallel Programming in Native Code Blog
C++ AMP sample projects for download
Analyzing C++ AMP Code with the Concurrency Visualizer
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