DeviceInfo Class Reference
[Initalization and Information]

Enumerator:

ComputeModeDefault	default compute mode (Multiple threads can use cudaSetDevice with this device)
ComputeModeExclusive	compute-exclusive-thread mode (Only one thread in one process will be able to use cudaSetDevice with this device)
ComputeModeProhibited	compute-prohibited mode (No threads can use cudaSetDevice with this device)
ComputeModeExclusiveProcess	compute-exclusive-process mode (Many threads in one process will be able to use cudaSetDevice with this device)

Definition at line 705 of file core/cuda.hpp.

creates DeviceInfo object for the current GPU

The constructors.

Parameters:

device_id

System index of the CUDA device starting with 0.

Constructs the DeviceInfo object for the specified device. If device_id parameter is missed, it constructs an object for the current device.

number of asynchronous engines

device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer

clock frequency in kilohertz

compute mode

device can possibly execute multiple kernels concurrently

Returns system index of the CUDA device starting with 0.

device has ECC support enabled

device is integrated as opposed to discrete

Checks the CUDA module and device compatibility.

This function returns true if the CUDA module can be run on the specified device. Otherwise, it returns false .

specified whether there is a run time limit on kernels

size of L2 cache in bytes

major compute capability

maximum size of each dimension of a grid

maximum 1D surface size

maximum 1D layered surface dimensions

maximum 2D surface dimensions

maximum 2D layered surface dimensions

maximum 3D surface dimensions

maximum Cubemap surface dimensions

maximum Cubemap layered surface dimensions

maximum 1D texture size

maximum 1D layered texture dimensions

maximum size for 1D textures bound to linear memory

maximum 1D mipmapped texture size

maximum 2D texture dimensions

maximum 2D texture dimensions if texture gather operations have to be performed

maximum 2D layered texture dimensions

maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory

maximum 2D mipmapped texture dimensions

maximum 3D texture dimensions

maximum Cubemap texture dimensions

maximum Cubemap layered texture dimensions

maximum size of each dimension of a block

maximum number of threads per block

maximum resident threads per multiprocessor

global memory bus width in bits

peak memory clock frequency in kilohertz

maximum pitch in bytes allowed by memory copies

minor compute capability

number of multiprocessors on device

ASCII string identifying device.

PCI bus ID of the device.

PCI device ID of the device.

PCI domain ID of the device.

gets free and total device memory

32-bit registers available per block

shared memory available per block in bytes

Provides information on CUDA feature support.

Parameters:

feature_set

Features to be checked. See cuda::FeatureSet.

This function returns true if the device has the specified CUDA feature. Otherwise, it returns false

alignment requirements for surfaces

true if device is a Tesla device using TCC driver, false otherwise

alignment requirement for textures

pitch alignment requirement for texture references bound to pitched memory

constant memory available on device in bytes

global memory available on device in bytes

device shares a unified address space with the host

warp size in threads