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10 Module Documentation3.4.2.2 cudaError_t cudaGetDevice (int ∗ device)Returns in ∗device the device on which the active host thread executes the device code.Parameters:device - Returns the device on which the active host thread executes the device code.Returns:cudaSuccessNote:Note that this function may also return error codes from previous, asynchronous launches.See also:cudaGetDeviceCount, cudaSetDevice, cudaGetDeviceProperties, cudaChooseDevice3.4.2.3 cudaError_t cudaGetDeviceCount (int ∗ count)Returns in ∗count the number of devices with compute capability greater or equal to 1.0 that are available forexecution. If there is no such device, cudaGetDeviceCount() returns 1 and device 0 only supports deviceemulation mode. Since this device will be able to emulate all hardware features, this device will report major andminor compute capability versions of 9999.Parameters:count - Returns the number of devices with compute capability greater or equal to 1.0Returns:Note:See also:cudaSuccessNote that this function may also return error codes from previous, asynchronous launches.cudaGetDevice, cudaSetDevice, cudaGetDeviceProperties, cudaChooseDevice3.4.2.4 cudaError_t cudaGetDeviceProperties (struct cudaDeviceProp ∗ prop, int device)Returns in ∗prop the properties of device dev. The cudaDeviceProp structure is defined as:struct cudaDeviceProp {char name[256];size_t totalGlobalMem;size_t sharedMemPerBlock;int regsPerBlock;int warpSize;size_t memPitch;int maxThreadsPerBlock;int maxThreadsDim[3];int maxGridSize[3];Generated on Wed Apr 1 16:11:42 2009 for NVIDIA CUDA Library by Doxygen
3.4 Device Management 11}size_t totalConstMem;int major;int minor;int clockRate;size_t textureAlignment;int deviceOverlap;int multiProcessorCount;int kernelExecTimeoutEnabled;int integrated;int canMapHostMemory;int computeMode;where:• name is an ASCII string identifying the device;• totalGlobalMem is the total amount of global memory available on the device in bytes;• sharedMemPerBlock is the maximum amount of shared memory available to a thread block in bytes; thisamount is shared by all thread blocks simultaneously resident on a multiprocessor;• regsPerBlock is the maximum number of 32-bit registers available to a thread block; this number is sharedby all thread blocks simultaneously resident on a multiprocessor;• warpSize is the warp size in threads;• memPitch is the maximum pitch in bytes allowed by the memory copy functions that involve memory regionsallocated through cudaMallocPitch();• maxThreadsPerBlock is the maximum number of threads per block;• maxThreadsDim[3] contains the maximum size of each dimension of a block;• maxGridSize[3] contains the maximum size of each dimension of a grid;• clockRate is the clock frequency in kilohertz;• totalConstMem is the total amount of constant memory available on the device in bytes;• major, minor are the major and minor revision numbers defining the device’s compute capability;• textureAlignment is the alignment requirement; texture base addresses that are aligned totextureAlignment bytes do not need an offset applied to texture fetches;• deviceOverlap is 1 if the device can concurrently copy memory between host and device while executing akernel, or 0 if not;• multiProcessorCount is the number of multiprocessors on the device;• kernelExecTimeoutEnabled is 1 if there is a run time limit for kernels executed on the device, or 0 ifnot.• integrated is 1 if the device is an integrated (motherboard) GPU and 0 if it is a discrete (card) component• canMapHostMemory is 1 if the device can map host memory into the CUDA address space for use withcudaHostAlloc()/cudaHostGetDevicePointer(), or 0 if not;• computeMode is the compute mode that the device is currently in. Available modes are as follows:– cudaComputeModeDefault: Default mode - Device is not restricted and multiple threads can use cudaSet-Device() with this device.Generated on Wed Apr 1 16:11:42 2009 for NVIDIA CUDA Library by Doxygen
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