CUDA devices corresponding to an OpenGL device

Gets the CUDA devices associated with the current OpenGL context.

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

Description

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.

See also:

cuWGLGetDevice, cudaGLGetDevices

Registers an OpenGL buffer object.

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,

Description

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.

See also:

cuGraphicsUnregisterResource, cuGraphicsMapResources, cuGraphicsResourceGetMappedPointer, cudaGraphicsGLRegisterBuffer

Register an OpenGL texture or renderbuffer object.

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,

Description

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

See also:

cuGraphicsUnregisterResource, cuGraphicsMapResources, cuGraphicsSubResourceGetMappedArray, cudaGraphicsGLRegisterImage

Gets the CUDA device associated with hGpu.

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

Description

Returns in *pDevice the CUDA device associated with a hGpu, if applicable.

See also:

cuGLMapBufferObject, cuGLRegisterBufferObject, cuGLUnmapBufferObject, cuGLUnregisterBufferObject, cuGLUnmapBufferObjectAsync, cuGLSetBufferObjectMapFlags, cudaWGLGetDevice