Provided by: nvidia-cuda-dev_7.5.18-0ubuntu1_amd64 
NAME
Device Management -
Functions
CUresult cuDeviceGet (CUdevice *device, int ordinal)
Returns a handle to a compute device.
CUresult cuDeviceGetAttribute (int *pi, CUdevice_attribute attrib, CUdevice dev)
Returns information about the device.
CUresult cuDeviceGetCount (int *count)
Returns the number of compute-capable devices.
CUresult cuDeviceGetName (char *name, int len, CUdevice dev)
Returns an identifier string for the device.
CUresult cuDeviceTotalMem (size_t *bytes, CUdevice dev)
Returns the total amount of memory on the device.
Detailed Description
\brief device management functions of the low-level CUDA driver API (cuda.h)
This section describes the device management functions of the low-level CUDA driver application
programming interface.
Function Documentation
CUresult cuDeviceGet (CUdevice * device, int ordinal)
Returns in *device a device handle given an ordinal in the range [0, cuDeviceGetCount()-1].
Parameters:
device - Returned device handle
ordinal - Device number to get handle for
Returns:
CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED, CUDA_ERROR_INVALID_CONTEXT,
CUDA_ERROR_INVALID_VALUE, CUDA_ERROR_INVALID_DEVICE
Note:
Note that this function may also return error codes from previous, asynchronous launches.
See also:
cuDeviceGetAttribute, cuDeviceGetCount, cuDeviceGetName, cuDeviceTotalMem
CUresult cuDeviceGetAttribute (int * pi, CUdevice_attribute attrib, CUdevice dev)
Returns in *pi the integer value of the attribute attrib on device dev. The supported attributes are:
• CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: Maximum number of threads per block;
• CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X: Maximum x-dimension of a block;
• CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y: Maximum y-dimension of a block;
• CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z: Maximum z-dimension of a block;
• CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X: Maximum x-dimension of a grid;
• CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y: Maximum y-dimension of a grid;
• CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z: Maximum z-dimension of a grid;
• CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK: Maximum amount of shared memory available to a thread
block in bytes;
• CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY: Memory available on device for __constant__ variables in a
CUDA C kernel in bytes;
• CU_DEVICE_ATTRIBUTE_WARP_SIZE: Warp size in threads;
• CU_DEVICE_ATTRIBUTE_MAX_PITCH: Maximum pitch in bytes allowed by the memory copy functions that involve
memory regions allocated through cuMemAllocPitch();
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH: Maximum 1D texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH: Maximum width for a 1D texture bound to linear
memory;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH: Maximum mipmapped 1D texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH: Maximum 2D texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT: Maximum 2D texture height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH: Maximum width for a 2D texture bound to linear
memory;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT: Maximum height for a 2D texture bound to linear
memory;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH: Maximum pitch in bytes for a 2D texture bound to
linear memory;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH: Maximum mipmapped 2D texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT: Maximum mipmapped 2D texture height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH: Maximum 3D texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT: Maximum 3D texture height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH: Maximum 3D texture depth;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE: Alternate maximum 3D texture width, 0 if no
alternate maximum 3D texture size is supported;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE: Alternate maximum 3D texture height, 0 if no
alternate maximum 3D texture size is supported;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE: Alternate maximum 3D texture depth, 0 if no
alternate maximum 3D texture size is supported;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH: Maximum cubemap texture width or height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH: Maximum 1D layered texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS: Maximum layers in a 1D layered texture;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH: Maximum 2D layered texture width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT: Maximum 2D layered texture height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS: Maximum layers in a 2D layered texture;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH: Maximum cubemap layered texture width or
height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS: Maximum layers in a cubemap layered texture;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH: Maximum 1D surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH: Maximum 2D surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT: Maximum 2D surface height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH: Maximum 3D surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT: Maximum 3D surface height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH: Maximum 3D surface depth;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH: Maximum 1D layered surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS: Maximum layers in a 1D layered surface;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH: Maximum 2D layered surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT: Maximum 2D layered surface height;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS: Maximum layers in a 2D layered surface;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH: Maximum cubemap surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH: Maximum cubemap layered surface width;
• CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS: Maximum layers in a cubemap layered surface;
• CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK: Maximum number of 32-bit registers available to a thread
block;
• CU_DEVICE_ATTRIBUTE_CLOCK_RATE: The typical clock frequency in kilohertz;
• CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT: Alignment requirement; texture base addresses aligned to
textureAlign bytes do not need an offset applied to texture fetches;
• CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT: Pitch alignment requirement for 2D texture references
bound to pitched memory;
• CU_DEVICE_ATTRIBUTE_GPU_OVERLAP: 1 if the device can concurrently copy memory between host and device
while executing a kernel, or 0 if not;
• CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT: Number of multiprocessors on the device;
• CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT: 1 if there is a run time limit for kernels executed on the
device, or 0 if not;
• CU_DEVICE_ATTRIBUTE_INTEGRATED: 1 if the device is integrated with the memory subsystem, or 0 if not;
• CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: 1 if the device can map host memory into the CUDA address
space, or 0 if not;
• CU_DEVICE_ATTRIBUTE_COMPUTE_MODE: Compute mode that device is currently in. Available modes are as
follows:
• CU_COMPUTEMODE_DEFAULT: Default mode - Device is not restricted and can have multiple CUDA contexts
present at a single time.
• CU_COMPUTEMODE_EXCLUSIVE: Compute-exclusive mode - Device can have only one CUDA context present on
it at a time.
• CU_COMPUTEMODE_PROHIBITED: Compute-prohibited mode - Device is prohibited from creating new CUDA
contexts.
• CU_COMPUTEMODE_EXCLUSIVE_PROCESS: Compute-exclusive-process mode - Device can have only one context
used by a single process at a time.
• CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: 1 if the device supports executing multiple kernels within the
same context simultaneously, or 0 if not. It is not guaranteed that multiple kernels will be resident
on the device concurrently so this feature should not be relied upon for correctness;
• CU_DEVICE_ATTRIBUTE_ECC_ENABLED: 1 if error correction is enabled on the device, 0 if error correction
is disabled or not supported by the device;
• CU_DEVICE_ATTRIBUTE_PCI_BUS_ID: PCI bus identifier of the device;
• CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID: PCI device (also known as slot) identifier of the device;
• CU_DEVICE_ATTRIBUTE_TCC_DRIVER: 1 if the device is using a TCC driver. TCC is only available on Tesla
hardware running Windows Vista or later;
• CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE: Peak memory clock frequency in kilohertz;
• CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH: Global memory bus width in bits;
• CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE: Size of L2 cache in bytes. 0 if the device doesn't have L2 cache;
• CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR: Maximum resident threads per multiprocessor;
• CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING: 1 if the device shares a unified address space with the host,
or 0 if not;
• CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR: Major compute capability version number;
• CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR: Minor compute capability version number;
• CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED: 1 if device supports caching globals in L1 cache, 0 if
caching globals in L1 cache is not supported by the device;
• CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED: 1 if device supports caching locals in L1 cache, 0 if
caching locals in L1 cache is not supported by the device;
• CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR: Maximum amount of shared memory available to
a multiprocessor in bytes; this amount is shared by all thread blocks simultaneously resident on a
multiprocessor;
• CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR: Maximum number of 32-bit registers available to a
multiprocessor; this number is shared by all thread blocks simultaneously resident on a multiprocessor;
• CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY: 1 if device supports allocating managed memory on this system, 0 if
allocating managed memory is not supported by the device on this system.
• CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD: 1 if device is on a multi-GPU board, 0 if not.
• CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID: Unique identifier for a group of devices associated with
the same board. Devices on the same multi-GPU board will share the same identifier.
Parameters:
pi - Returned device attribute value
attrib - Device attribute to query
dev - Device handle
Returns:
CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED, CUDA_ERROR_INVALID_CONTEXT,
CUDA_ERROR_INVALID_VALUE, CUDA_ERROR_INVALID_DEVICE
Note:
Note that this function may also return error codes from previous, asynchronous launches.
See also:
cuDeviceGetCount, cuDeviceGetName, cuDeviceGet, cuDeviceTotalMem
CUresult cuDeviceGetCount (int * count)
Returns in *count the number of devices with compute capability greater than or equal to 1.0 that are
available for execution. If there is no such device, cuDeviceGetCount() returns 0.
Parameters:
count - Returned number of compute-capable devices
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:
cuDeviceGetAttribute, cuDeviceGetName, cuDeviceGet, cuDeviceTotalMem
CUresult cuDeviceGetName (char * name, int len, CUdevice dev)
Returns an ASCII string identifying the device dev in the NULL-terminated string pointed to by name. len
specifies the maximum length of the string that may be returned.
Parameters:
name - Returned identifier string for the device
len - Maximum length of string to store in name
dev - Device to get identifier string for
Returns:
CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED, CUDA_ERROR_INVALID_CONTEXT,
CUDA_ERROR_INVALID_VALUE, CUDA_ERROR_INVALID_DEVICE
Note:
Note that this function may also return error codes from previous, asynchronous launches.
See also:
cuDeviceGetAttribute, cuDeviceGetCount, cuDeviceGet, cuDeviceTotalMem
CUresult cuDeviceTotalMem (size_t * bytes, CUdevice dev)
Returns in *bytes the total amount of memory available on the device dev in bytes.
Parameters:
bytes - Returned memory available on device in bytes
dev - Device handle
Returns:
CUDA_SUCCESS, CUDA_ERROR_DEINITIALIZED, CUDA_ERROR_NOT_INITIALIZED, CUDA_ERROR_INVALID_CONTEXT,
CUDA_ERROR_INVALID_VALUE, CUDA_ERROR_INVALID_DEVICE
Note:
Note that this function may also return error codes from previous, asynchronous launches.
See also:
cuDeviceGetAttribute, cuDeviceGetCount, cuDeviceGetName, cuDeviceGet,
Author
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Version 6.0 15 Aug 2015 Device Management(3)