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Taming GPU compute with C++ AMP

Date: September 16, 2011 from 9:00AM to 10:00AM
Day 4
Jolt
TOOL-802T
Speakers: Daniel Moth
Avg Rating: 5

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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.

Tags:
- Visual Studio,
- C++

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wadood_a_k

Sep 16, 2011 at 9:06 PM

good
PaulJurczak

Sep 17, 2011 at 7:10 PM

Getting ready to take C++ AMP for a test drive!
Eniac

Sep 25, 2011 at 3:06 AM

Amazing work!
Fan Shi

Sep 26, 2011 at 10:17 PM

That debugger work is superb! A dreaming solution for GPGPU.
Freeman

Oct 12, 2011 at 10:40 AM

Great presentation.
Wish it worked directly from C# as well, really don't see why it couldn't (or even why it would be significantly more expensive to make). Seen methods like http://blogs.msdn.com/b/pfxteam/archive/2011/09/21/10214538.aspx but these are still far away in productivity from what a pure C# version could offer. Hope we can expect that in the future as well.
Daniel Moth

Oct 14, 2011 at 7:34 PM

@ All: glad you enjoyed the presentation.
@Freeman: For VS 11 timeframe, our recommendation is interoping from .NET as per the blog post you found. For future releases, we may consider adding this capability directly to the .NET Framework based on customer feedback, but it is not in any plans right now.