C++ AMP (C++ Accelerated Massive Parallelism)
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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.
Related Topics
| Title | Description |
|---|---|
| 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 8.x Store 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
Other Resources
Parallel Programming in Native Code Blog