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

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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