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C++ AMP is a GPGPU API – it allows you to define functions (kernels) that take some input, perform an expensive calculation on the GPU and return the output to CPU. GPU supports fast calculative operations across many SIMD-like cores - NVidia Tesla supports 512 cores compared to the paltry 10 cores available on the CPU today - even Intel's Knights Corner will only support 60 cores next year. Suitable only for certain classes of problems (i.e. data parallel algorithms) and not for others (e.g. algorithms with branching or recursion or other complex flow control).
- you pay a high cost for transferring the input data from the CPU to the GPU and the results back to the CPU, so the computation itself has to be long enough to justify the overhead transfer costs.
DirectX 11 offers DirectCompute API for GPGPU – this requires you to code in HLSL (a C like language for expressing pixel, vertex & tesselation shaders for graphics pipelines). C++ AMP abstracts away from that - is part of Visual C++. You don't need to use a different compiler or learn different syntax.
The C++ AMP programming model includes multidimensional...(Read whole news on source site)

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