NAME

       OpenGL Interoperability -

   Enumerations
       enum cudaGLDeviceList { cudaGLDeviceListAll =  1, cudaGLDeviceListCurrentFrame =  2,
           cudaGLDeviceListNextFrame =  3 }

   Functions
       cudaError_t cudaGLGetDevices (unsigned int *pCudaDeviceCount, int *pCudaDevices, unsigned int
           cudaDeviceCount, enum cudaGLDeviceList deviceList)
           Gets the CUDA devices associated with the current OpenGL context.
       cudaError_t cudaGraphicsGLRegisterBuffer (struct cudaGraphicsResource **resource, GLuint buffer, unsigned
           int flags)
           Registers an OpenGL buffer object.
       cudaError_t cudaGraphicsGLRegisterImage (struct cudaGraphicsResource **resource, GLuint image, GLenum
           target, unsigned int flags)
           Register an OpenGL texture or renderbuffer object.
       cudaError_t cudaWGLGetDevice (int *device, HGPUNV hGpu)
           Gets the CUDA device associated with hGpu.

Detailed Description

       This section describes the OpenGL interoperability functions of the CUDA runtime application programming
       interface. Note that mapping of OpenGL resources is performed with the graphics API agnostic, resource
       mapping interface described in Graphics Interopability.

Enumeration Type Documentation

   enum cudaGLDeviceList
       CUDA devices corresponding to the current OpenGL context

       Enumerator:

       cudaGLDeviceListAll
              The CUDA devices for all GPUs used by the current OpenGL context

       cudaGLDeviceListCurrentFrame
              The CUDA devices for the GPUs used by the current OpenGL context in its currently rendering frame

       cudaGLDeviceListNextFrame
              The CUDA devices for the GPUs to be used by the current OpenGL context in the next frame

Function Documentation

   cudaError_t cudaGLGetDevices (unsigned int * pCudaDeviceCount, int * pCudaDevices, unsigned int
       cudaDeviceCount, enum cudaGLDeviceList deviceList)
       Returns in *pCudaDeviceCount the number of CUDA-compatible devices corresponding to the current OpenGL
       context. Also returns in *pCudaDevices at most cudaDeviceCount of the CUDA-compatible devices
       corresponding to the current OpenGL context. If any of the GPUs being used by the current OpenGL context
       are not CUDA capable then the call will return cudaErrorNoDevice.

       Parameters:
           pCudaDeviceCount - Returned number of CUDA devices corresponding to the current OpenGL context
           pCudaDevices - Returned CUDA devices corresponding to the current OpenGL context
           cudaDeviceCount - The size of the output device array pCudaDevices
           deviceList - The set of devices to return. This set may be cudaGLDeviceListAll for all devices,
           cudaGLDeviceListCurrentFrame for the devices used to render the current frame (in SLI), or
           cudaGLDeviceListNextFrame for the devices used to render the next frame (in SLI).

       Returns:
           cudaSuccess, cudaErrorNoDevice, cudaErrorInvalidGraphicsContext, cudaErrorUnknown

       Note:
           This function is not supported on Mac OS X.

           Note that this function may also return error codes from previous, asynchronous launches.

       See also:
           cudaGraphicsUnregisterResource, cudaGraphicsMapResources, cudaGraphicsSubResourceGetMappedArray,
           cudaGraphicsResourceGetMappedPointer, cuGLGetDevices

   cudaError_t cudaGraphicsGLRegisterBuffer (struct cudaGraphicsResource ** resource, GLuint buffer, unsigned
       int flags)
       Registers the buffer object specified by buffer for access by CUDA. A handle to the registered object is
       returned as resource. The register flags flags specify the intended usage, as follows:

       • cudaGraphicsRegisterFlagsNone: Specifies no hints about how this resource will be used. It is therefore
         assumed that this resource will be read from and written to by CUDA. This is the default value.

       • cudaGraphicsRegisterFlagsReadOnly: Specifies that CUDA will not write to this resource.

       • cudaGraphicsRegisterFlagsWriteDiscard: Specifies that CUDA will not read from this resource and will
         write over the entire contents of the resource, so none of the data previously stored in the resource
         will be preserved.

       Parameters:
           resource - Pointer to the returned object handle
           buffer - name of buffer object to be registered
           flags - Register flags

       Returns:
           cudaSuccess, cudaErrorInvalidDevice, cudaErrorInvalidValue, cudaErrorInvalidResourceHandle,
           cudaErrorUnknown

       Note:
           Note that this function may also return error codes from previous, asynchronous launches.

       See also:
           cudaGraphicsUnregisterResource, cudaGraphicsMapResources, cudaGraphicsResourceGetMappedPointer,
           cuGraphicsGLRegisterBuffer

   cudaError_t cudaGraphicsGLRegisterImage (struct cudaGraphicsResource ** resource, GLuint image, GLenum
       target, unsigned int flags)
       Registers the texture or renderbuffer object specified by image for access by CUDA. A handle to the
       registered object is returned as resource.

       target must match the type of the object, and must be one of GL_TEXTURE_2D, GL_TEXTURE_RECTANGLE,
       GL_TEXTURE_CUBE_MAP, GL_TEXTURE_3D, GL_TEXTURE_2D_ARRAY, or GL_RENDERBUFFER.

       The register flags flags specify the intended usage, as follows:

       • cudaGraphicsRegisterFlagsNone: Specifies no hints about how this resource will be used. It is therefore
         assumed that this resource will be read from and written to by CUDA. This is the default value.

       • cudaGraphicsRegisterFlagsReadOnly: Specifies that CUDA will not write to this resource.

       • cudaGraphicsRegisterFlagsWriteDiscard: Specifies that CUDA will not read from this resource and will
         write over the entire contents of the resource, so none of the data previously stored in the resource
         will be preserved.

       • cudaGraphicsRegisterFlagsSurfaceLoadStore: Specifies that CUDA will bind this resource to a surface
         reference.

       • cudaGraphicsRegisterFlagsTextureGather: Specifies that CUDA will perform texture gather operations on
         this resource.

       The following image formats are supported. For brevity's sake, the list is abbreviated. For ex., {GL_R,
       GL_RG} X {8, 16} would expand to the following 4 formats {GL_R8, GL_R16, GL_RG8, GL_RG16} :

       • GL_RED, GL_RG, GL_RGBA, GL_LUMINANCE, GL_ALPHA, GL_LUMINANCE_ALPHA, GL_INTENSITY

       • {GL_R, GL_RG, GL_RGBA} X {8, 16, 16F, 32F, 8UI, 16UI, 32UI, 8I, 16I, 32I}

       • {GL_LUMINANCE, GL_ALPHA, GL_LUMINANCE_ALPHA, GL_INTENSITY} X {8, 16, 16F_ARB, 32F_ARB, 8UI_EXT,
         16UI_EXT, 32UI_EXT, 8I_EXT, 16I_EXT, 32I_EXT}

       The following image classes are currently disallowed:

       • Textures with borders

       • Multisampled renderbuffers

       Parameters:
           resource - Pointer to the returned object handle
           image - name of texture or renderbuffer object to be registered
           target - Identifies the type of object specified by image
           flags - Register flags

       Returns:
           cudaSuccess, cudaErrorInvalidDevice, cudaErrorInvalidValue, cudaErrorInvalidResourceHandle,
           cudaErrorUnknown

       Note:
           Note that this function may also return error codes from previous, asynchronous launches.

       See also:
           cudaGraphicsUnregisterResource, cudaGraphicsMapResources, cudaGraphicsSubResourceGetMappedArray,
           cuGraphicsGLRegisterImage

   cudaError_t cudaWGLGetDevice (int * device, HGPUNV hGpu)
       Returns the CUDA device associated with a hGpu, if applicable.

       Parameters:
           device - Returns the device associated with hGpu, or -1 if hGpu is not a compute device.
           hGpu - Handle to a GPU, as queried via WGL_NV_gpu_affinity

       Returns:
           cudaSuccess

       Note:
           Note that this function may also return error codes from previous, asynchronous launches.

       See also:
           WGL_NV_gpu_affinity, cuWGLGetDevice

Author

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