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X-ORIGINAL-URL:http://channel9.msdn.com/Events/Build/BUILD2011/TOOL-802T
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DESCRIPTION;LANGUAGE=en;CHARSET=utf-8: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.
LOCATION;LANGUAGE=en;CHARSET=utf-8:Jolt
SUMMARY;LANGUAGE=en;CHARSET=utf-8:Taming GPU compute with C++ AMP
CONTACT;LANGUAGE=en;CHARSET=utf-8:Daniel Moth
UID:Code: TOOL-802T
X-ALT-DESC;FMTTYPE=text/html: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.
DTSTART;VALUE=DATE-TIME:20110916T160000Z
DTEND;VALUE=DATE-TIME:20110916T170000Z
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