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