Provided by: nvidia-cuda-dev_7.5.18-0ubuntu1_amd64 bug

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, 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

   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

   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

   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

Author

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Version 6.0                                        15 Aug 2015                        OpenGL Interoperability(3)