Taming GPU compute with C++ AMP

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Developers today inject parallelism into their compute-intensive apps in order to take advantage of multi-core CPU hardware. Beyond CPUs, however, compute accelerators such as general-purpose GPUs can provide orders of magnitude speed-ups for data parallel algorithms. How can you as a C++ developer fully utilize this heterogeneous hardware from your Visual Studio environment? How can you benefit from this tremendous performance boost in your Visual C++ solutions without sacrificing developer productivity? The answers will be presented in this session introducing C++ AMP.
For more information, check out this course on Microsoft Virtual Academy:

Day:

2

Level:

300

Code:

1994

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