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

NAME

       OpenGL Interoperability -

   Modules
       OpenGL Interoperability [DEPRECATED]

   Enumerations
       enum CUGLDeviceList { CU_GL_DEVICE_LIST_ALL =  0x01, CU_GL_DEVICE_LIST_CURRENT_FRAME =
           0x02, CU_GL_DEVICE_LIST_NEXT_FRAME =  0x03 }

   Functions
       CUresult cuGLGetDevices (unsigned int *pCudaDeviceCount, CUdevice *pCudaDevices, unsigned
           int cudaDeviceCount, CUGLDeviceList deviceList)
           Gets the CUDA devices associated with the current OpenGL context.
       CUresult cuGraphicsGLRegisterBuffer (CUgraphicsResource *pCudaResource, GLuint buffer,
           unsigned int Flags)
           Registers an OpenGL buffer object.
       CUresult cuGraphicsGLRegisterImage (CUgraphicsResource *pCudaResource, GLuint image,
           GLenum target, unsigned int Flags)
           Register an OpenGL texture or renderbuffer object.
       CUresult cuWGLGetDevice (CUdevice *pDevice, HGPUNV hGpu)
           Gets the CUDA device associated with hGpu.

Detailed Description

       \brief OpenGL interoperability functions of the low-level CUDA driver API (cudaGL.h)

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

Enumeration Type Documentation

   enum CUGLDeviceList
       CUDA devices corresponding to an OpenGL device

       Enumerator:

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

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

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

Function Documentation

   CUresult cuGLGetDevices (unsigned int * pCudaDeviceCount, CUdevice * pCudaDevices, unsigned
       int cudaDeviceCount, CUGLDeviceList 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
       CUDA_ERROR_NO_DEVICE.

       The deviceList argument may be any of the following:

       • CU_GL_DEVICE_LIST_ALL: Query all devices used by the current OpenGL context.

       • CU_GL_DEVICE_LIST_CURRENT_FRAME: Query the devices used by the current OpenGL context to
         render the current frame (in SLI).

       • CU_GL_DEVICE_LIST_NEXT_FRAME: Query the devices used by the current OpenGL context to
         render the next frame (in SLI). Note that this is a prediction, it can't be guaranteed
         that this is correct in all cases.

       Parameters:
           pCudaDeviceCount - Returned number of CUDA devices.
           pCudaDevices - Returned CUDA devices.
           cudaDeviceCount - The size of the output device array pCudaDevices.
           deviceList - The set of devices to return.

       Returns:
           CUDA_SUCCESS, CUDA_ERROR_NO_DEVICE, CUDA_ERROR_INVALID_VALUE,
           CUDA_ERROR_INVALID_CONTEXT, CUDA_ERROR_INVALID_GRAPHICS_CONTEXT

       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:
           cuWGLGetDevice

   CUresult cuGraphicsGLRegisterBuffer (CUgraphicsResource * pCudaResource, 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 pCudaResource. The register flags Flags specify the
       intended usage, as follows:

       • CU_GRAPHICS_REGISTER_FLAGS_NONE: 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.

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

       • CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD: 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:
           pCudaResource - Pointer to the returned object handle
           buffer - name of buffer object to be registered
           Flags - Register flags

       Returns:
           CUDA_SUCCESS, CUDA_ERROR_INVALID_HANDLE, CUDA_ERROR_ALREADY_MAPPED,
           CUDA_ERROR_INVALID_CONTEXT,

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

       See also:
           cuGraphicsUnregisterResource, cuGraphicsMapResources,
           cuGraphicsResourceGetMappedPointer

   CUresult cuGraphicsGLRegisterImage (CUgraphicsResource * pCudaResource, 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 pCudaResource.

       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:

       • CU_GRAPHICS_REGISTER_FLAGS_NONE: 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.

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

       • CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD: 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.

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

       • CU_GRAPHICS_REGISTER_FLAGS_TEXTURE_GATHER: 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:
           pCudaResource - 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:
           CUDA_SUCCESS, CUDA_ERROR_INVALID_HANDLE, CUDA_ERROR_ALREADY_MAPPED,
           CUDA_ERROR_INVALID_CONTEXT,

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

       See also:
           cuGraphicsUnregisterResource, cuGraphicsMapResources,
           cuGraphicsSubResourceGetMappedArray

   CUresult cuWGLGetDevice (CUdevice * pDevice, HGPUNV hGpu)
       Returns in *pDevice the CUDA device associated with a hGpu, if applicable.

       Parameters:
           pDevice - Device associated with hGpu
           hGpu - Handle to a GPU, as queried via WGL_NV_gpu_affinity()

       Returns:
           CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED,
           CUDA_ERROR_INVALID_CONTEXT, CUDA_ERROR_INVALID_VALUE

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

       See also:
           cuGLMapBufferObject, cuGLRegisterBufferObject, cuGLUnmapBufferObject,
           cuGLUnregisterBufferObject, cuGLUnmapBufferObjectAsync, cuGLSetBufferObjectMapFlags

Author

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