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GPU docs. introduction, data structures.

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This commit is contained in:
Anatoly Baksheev
2011-01-25 15:23:02 +00:00
parent ab8f578f9d
commit 11579324d8
4 changed files with 102290 additions and 94485 deletions
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8
doc/gpu_initialization.tex
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@@ -2,13 +2,13 @@
\cvCppFunc{gpu::getCudaEnabledDeviceCount}
Returns number of CUDA-enabled devices installed. It is to be used before any other GPU funtions calls. If OpenCV is compiled without GPU support this function returns 0.
Returns number of CUDA-enabled devices installed. It is to be used before any other GPU functions calls. If OpenCV is compiled without GPU support this function returns 0.
\cvdefCpp{int getCudaEnabledDeviceCount();}
\cvCppFunc{gpu::setDevice}
Sets device and initializes it for current thread. If this call is omitted, default device will be initialized.
Sets device and initializes it for current thread. Call of this function can be omitted, but in this case a default device will be initialized on fist GPU usage.
\cvdefCpp{void setDevice(int device);}
\begin{description}
@@ -140,12 +140,14 @@ Returns true, if the GPU module has PTX or CUBIN code for the given architecture
\cvCppFunc{gpu::isCompatibleWith}
Returns true, if the GPU module is PTX or CUBIN compatible with the given GPU device, otherwise false.
Returns true, if the GPU module is built with PTX or CUBIN compatible with the given GPU device, otherwise false.
\cvdefCpp{bool isCompatibleWith(int device);}
\begin{description}
\cvarg{device}{GPU index. Can be obtained via \cvCppCross{gpu::getDevice}.}
\end{description}
% By default GPU module is no compiled for devices with compute capability equal to 1.0. So if you run
According to the CUDA C Programming Guide Version 3.2: "PTX code produced for some specific compute capability can always be compiled to binary code of greater or equal compute capability".