Provided by: nvidia-cuda-dev_7.5.18-0ubuntu1_amd64 
NAME
Data types used by CUDA driver -
Data Structures
struct CUDA_ARRAY3D_DESCRIPTOR
struct CUDA_ARRAY_DESCRIPTOR
struct CUDA_MEMCPY2D
struct CUDA_MEMCPY3D
struct CUDA_MEMCPY3D_PEER
struct CUDA_POINTER_ATTRIBUTE_P2P_TOKENS
struct CUDA_RESOURCE_DESC
struct CUDA_RESOURCE_VIEW_DESC
struct CUDA_TEXTURE_DESC
struct CUdevprop
struct CUipcEventHandle
struct CUipcMemHandle
Defines
#define CU_IPC_HANDLE_SIZE 64
#define CU_LAUNCH_PARAM_BUFFER_POINTER ((void*)0x01)
#define CU_LAUNCH_PARAM_BUFFER_SIZE ((void*)0x02)
#define CU_LAUNCH_PARAM_END ((void*)0x00)
#define CU_MEMHOSTALLOC_DEVICEMAP 0x02
#define CU_MEMHOSTALLOC_PORTABLE 0x01
#define CU_MEMHOSTALLOC_WRITECOMBINED 0x04
#define CU_MEMHOSTREGISTER_DEVICEMAP 0x02
#define CU_MEMHOSTREGISTER_IOMEMORY 0x04
#define CU_MEMHOSTREGISTER_PORTABLE 0x01
#define CU_PARAM_TR_DEFAULT -1
#define CU_STREAM_LEGACY ((CUstream)0x1)
#define CU_STREAM_PER_THREAD ((CUstream)0x2)
#define CU_TRSA_OVERRIDE_FORMAT 0x01
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
#define CU_TRSF_READ_AS_INTEGER 0x01
#define CU_TRSF_SRGB 0x10
#define CUDA_ARRAY3D_2DARRAY 0x01
#define CUDA_ARRAY3D_CUBEMAP 0x04
#define CUDA_ARRAY3D_DEPTH_TEXTURE 0x10
#define CUDA_ARRAY3D_LAYERED 0x01
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
#define CUDA_ARRAY3D_TEXTURE_GATHER 0x08
#define CUDA_VERSION 7050
Typedefs
typedef struct CUarray_st * CUarray
typedef struct CUctx_st * CUcontext
typedef int CUdevice
typedef unsigned int CUdeviceptr
typedef struct CUevent_st * CUevent
typedef struct CUfunc_st * CUfunction
typedef struct CUgraphicsResource_st * CUgraphicsResource
typedef struct CUmipmappedArray_st * CUmipmappedArray
typedef struct CUmod_st * CUmodule
typedef size_t(CUDA_CB * CUoccupancyB2DSize )(int blockSize)
typedef struct CUstream_st * CUstream
typedef void(CUDA_CB * CUstreamCallback )(CUstream hStream, CUresult status, void *userData)
typedef unsigned long long CUsurfObject
typedef struct CUsurfref_st * CUsurfref
typedef unsigned long long CUtexObject
typedef struct CUtexref_st * CUtexref
Enumerations
enum CUaddress_mode { CU_TR_ADDRESS_MODE_WRAP = 0, CU_TR_ADDRESS_MODE_CLAMP = 1,
CU_TR_ADDRESS_MODE_MIRROR = 2, CU_TR_ADDRESS_MODE_BORDER = 3 }
enum CUarray_cubemap_face { CU_CUBEMAP_FACE_POSITIVE_X = 0x00, CU_CUBEMAP_FACE_NEGATIVE_X = 0x01,
CU_CUBEMAP_FACE_POSITIVE_Y = 0x02, CU_CUBEMAP_FACE_NEGATIVE_Y = 0x03, CU_CUBEMAP_FACE_POSITIVE_Z =
0x04, CU_CUBEMAP_FACE_NEGATIVE_Z = 0x05 }
enum CUarray_format { CU_AD_FORMAT_UNSIGNED_INT8 = 0x01, CU_AD_FORMAT_UNSIGNED_INT16 = 0x02,
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03, CU_AD_FORMAT_SIGNED_INT8 = 0x08, CU_AD_FORMAT_SIGNED_INT16 =
0x09, CU_AD_FORMAT_SIGNED_INT32 = 0x0a, CU_AD_FORMAT_HALF = 0x10, CU_AD_FORMAT_FLOAT = 0x20 }
enum CUcomputemode { CU_COMPUTEMODE_DEFAULT = 0, CU_COMPUTEMODE_EXCLUSIVE = 1,
CU_COMPUTEMODE_PROHIBITED = 2, CU_COMPUTEMODE_EXCLUSIVE_PROCESS = 3 }
enum CUctx_flags { CU_CTX_SCHED_AUTO = 0x00, CU_CTX_SCHED_SPIN = 0x01, CU_CTX_SCHED_YIELD = 0x02,
CU_CTX_SCHED_BLOCKING_SYNC = 0x04, CU_CTX_BLOCKING_SYNC = 0x04, CU_CTX_MAP_HOST = 0x08,
CU_CTX_LMEM_RESIZE_TO_MAX = 0x10 }
enum CUdevice_attribute { CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 1,
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X = 2, CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y = 3,
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z = 4, CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X = 5,
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y = 6, CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z = 7,
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK = 8, CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK =
8, CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY = 9, CU_DEVICE_ATTRIBUTE_WARP_SIZE = 10,
CU_DEVICE_ATTRIBUTE_MAX_PITCH = 11, CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK = 12,
CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK = 12, CU_DEVICE_ATTRIBUTE_CLOCK_RATE = 13,
CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT = 14, CU_DEVICE_ATTRIBUTE_GPU_OVERLAP = 15,
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT = 16, CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT = 17,
CU_DEVICE_ATTRIBUTE_INTEGRATED = 18, CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY = 19,
CU_DEVICE_ATTRIBUTE_COMPUTE_MODE = 20, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH = 21,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH = 22, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT =
23, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH = 24, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT =
25, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH = 26,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH = 27,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT = 28,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS = 29,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH = 27,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT = 28,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES = 29, CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT =
30, CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS = 31, CU_DEVICE_ATTRIBUTE_ECC_ENABLED = 32,
CU_DEVICE_ATTRIBUTE_PCI_BUS_ID = 33, CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID = 34,
CU_DEVICE_ATTRIBUTE_TCC_DRIVER = 35, CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE = 36,
CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH = 37, CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE = 38,
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR = 39, CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT =
40, CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING = 41, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH
= 42, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS = 43,
CU_DEVICE_ATTRIBUTE_CAN_TEX2D_GATHER = 44, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH = 45,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT = 46,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE = 47,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE = 48,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE = 49, CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID = 50,
CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT = 51, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH =
52, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH = 53,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS = 54,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH = 55, CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH = 56,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT = 57, CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH =
58, CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT = 59, CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH =
60, CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH = 61,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS = 62,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH = 63,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT = 64,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS = 65,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH = 66,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH = 67,
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS = 68,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH = 69,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH = 70,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT = 71,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH = 72,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH = 73,
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT = 74,
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR =
76, CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH = 77,
CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED = 78, CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED
= 79, CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED = 80,
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR = 81,
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR = 82, CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY = 83,
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD = 84, CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID = 85 }
enum CUevent_flags { CU_EVENT_DEFAULT = 0x0, CU_EVENT_BLOCKING_SYNC = 0x1, CU_EVENT_DISABLE_TIMING =
0x2, CU_EVENT_INTERPROCESS = 0x4 }
enum CUfilter_mode { CU_TR_FILTER_MODE_POINT = 0, CU_TR_FILTER_MODE_LINEAR = 1 }
enum CUfunc_cache { CU_FUNC_CACHE_PREFER_NONE = 0x00, CU_FUNC_CACHE_PREFER_SHARED = 0x01,
CU_FUNC_CACHE_PREFER_L1 = 0x02, CU_FUNC_CACHE_PREFER_EQUAL = 0x03 }
enum CUfunction_attribute { CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 0,
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES = 1, CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES = 2,
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES = 3, CU_FUNC_ATTRIBUTE_NUM_REGS = 4,
CU_FUNC_ATTRIBUTE_PTX_VERSION = 5, CU_FUNC_ATTRIBUTE_BINARY_VERSION = 6,
CU_FUNC_ATTRIBUTE_CACHE_MODE_CA = 7 }
enum CUgraphicsMapResourceFlags
enum CUgraphicsRegisterFlags
enum CUipcMem_flags { CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS = 0x1 }
enum CUjit_cacheMode { CU_JIT_CACHE_OPTION_NONE = 0, CU_JIT_CACHE_OPTION_CG, CU_JIT_CACHE_OPTION_CA }
enum CUjit_fallback { CU_PREFER_PTX = 0, CU_PREFER_BINARY }
enum CUjit_option { CU_JIT_MAX_REGISTERS = 0, CU_JIT_THREADS_PER_BLOCK, CU_JIT_WALL_TIME,
CU_JIT_INFO_LOG_BUFFER, CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES, CU_JIT_ERROR_LOG_BUFFER,
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES, CU_JIT_OPTIMIZATION_LEVEL, CU_JIT_TARGET_FROM_CUCONTEXT,
CU_JIT_TARGET, CU_JIT_FALLBACK_STRATEGY, CU_JIT_GENERATE_DEBUG_INFO, CU_JIT_LOG_VERBOSE,
CU_JIT_GENERATE_LINE_INFO, CU_JIT_CACHE_MODE }
enum CUjit_target { CU_TARGET_COMPUTE_10 = 10, CU_TARGET_COMPUTE_11 = 11, CU_TARGET_COMPUTE_12 = 12,
CU_TARGET_COMPUTE_13 = 13, CU_TARGET_COMPUTE_20 = 20, CU_TARGET_COMPUTE_21 = 21,
CU_TARGET_COMPUTE_30 = 30, CU_TARGET_COMPUTE_32 = 32, CU_TARGET_COMPUTE_35 = 35,
CU_TARGET_COMPUTE_37 = 37, CU_TARGET_COMPUTE_50 = 50, CU_TARGET_COMPUTE_52 = 52 }
enum CUjitInputType { CU_JIT_INPUT_CUBIN = 0, CU_JIT_INPUT_PTX, CU_JIT_INPUT_FATBINARY,
CU_JIT_INPUT_OBJECT, CU_JIT_INPUT_LIBRARY }
enum CUlimit { CU_LIMIT_STACK_SIZE = 0x00, CU_LIMIT_PRINTF_FIFO_SIZE = 0x01, CU_LIMIT_MALLOC_HEAP_SIZE
= 0x02, CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH = 0x03, CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT = 0x04 }
enum CUmemAttach_flags { CU_MEM_ATTACH_GLOBAL = 0x1, CU_MEM_ATTACH_HOST = 0x2, CU_MEM_ATTACH_SINGLE =
0x4 }
enum CUmemorytype { CU_MEMORYTYPE_HOST = 0x01, CU_MEMORYTYPE_DEVICE = 0x02, CU_MEMORYTYPE_ARRAY =
0x03, CU_MEMORYTYPE_UNIFIED = 0x04 }
enum CUoccupancy_flags { CU_OCCUPANCY_DEFAULT = 0x0, CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE = 0x1 }
enum CUpointer_attribute { CU_POINTER_ATTRIBUTE_CONTEXT = 1, CU_POINTER_ATTRIBUTE_MEMORY_TYPE = 2,
CU_POINTER_ATTRIBUTE_DEVICE_POINTER = 3, CU_POINTER_ATTRIBUTE_HOST_POINTER = 4,
CU_POINTER_ATTRIBUTE_P2P_TOKENS = 5, CU_POINTER_ATTRIBUTE_SYNC_MEMOPS = 6,
CU_POINTER_ATTRIBUTE_BUFFER_ID = 7, CU_POINTER_ATTRIBUTE_IS_MANAGED = 8 }
enum CUresourcetype { CU_RESOURCE_TYPE_ARRAY = 0x00, CU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 0x01,
CU_RESOURCE_TYPE_LINEAR = 0x02, CU_RESOURCE_TYPE_PITCH2D = 0x03 }
enum CUresourceViewFormat { CU_RES_VIEW_FORMAT_NONE = 0x00, CU_RES_VIEW_FORMAT_UINT_1X8 = 0x01,
CU_RES_VIEW_FORMAT_UINT_2X8 = 0x02, CU_RES_VIEW_FORMAT_UINT_4X8 = 0x03, CU_RES_VIEW_FORMAT_SINT_1X8
= 0x04, CU_RES_VIEW_FORMAT_SINT_2X8 = 0x05, CU_RES_VIEW_FORMAT_SINT_4X8 = 0x06,
CU_RES_VIEW_FORMAT_UINT_1X16 = 0x07, CU_RES_VIEW_FORMAT_UINT_2X16 = 0x08,
CU_RES_VIEW_FORMAT_UINT_4X16 = 0x09, CU_RES_VIEW_FORMAT_SINT_1X16 = 0x0a,
CU_RES_VIEW_FORMAT_SINT_2X16 = 0x0b, CU_RES_VIEW_FORMAT_SINT_4X16 = 0x0c,
CU_RES_VIEW_FORMAT_UINT_1X32 = 0x0d, CU_RES_VIEW_FORMAT_UINT_2X32 = 0x0e,
CU_RES_VIEW_FORMAT_UINT_4X32 = 0x0f, CU_RES_VIEW_FORMAT_SINT_1X32 = 0x10,
CU_RES_VIEW_FORMAT_SINT_2X32 = 0x11, CU_RES_VIEW_FORMAT_SINT_4X32 = 0x12,
CU_RES_VIEW_FORMAT_FLOAT_1X16 = 0x13, CU_RES_VIEW_FORMAT_FLOAT_2X16 = 0x14,
CU_RES_VIEW_FORMAT_FLOAT_4X16 = 0x15, CU_RES_VIEW_FORMAT_FLOAT_1X32 = 0x16,
CU_RES_VIEW_FORMAT_FLOAT_2X32 = 0x17, CU_RES_VIEW_FORMAT_FLOAT_4X32 = 0x18,
CU_RES_VIEW_FORMAT_UNSIGNED_BC1 = 0x19, CU_RES_VIEW_FORMAT_UNSIGNED_BC2 = 0x1a,
CU_RES_VIEW_FORMAT_UNSIGNED_BC3 = 0x1b, CU_RES_VIEW_FORMAT_UNSIGNED_BC4 = 0x1c,
CU_RES_VIEW_FORMAT_SIGNED_BC4 = 0x1d, CU_RES_VIEW_FORMAT_UNSIGNED_BC5 = 0x1e,
CU_RES_VIEW_FORMAT_SIGNED_BC5 = 0x1f, CU_RES_VIEW_FORMAT_UNSIGNED_BC6H = 0x20,
CU_RES_VIEW_FORMAT_SIGNED_BC6H = 0x21, CU_RES_VIEW_FORMAT_UNSIGNED_BC7 = 0x22 }
enum CUresult { CUDA_SUCCESS = 0, CUDA_ERROR_INVALID_VALUE = 1, CUDA_ERROR_OUT_OF_MEMORY = 2,
CUDA_ERROR_NOT_INITIALIZED = 3, CUDA_ERROR_DEINITIALIZED = 4, CUDA_ERROR_PROFILER_DISABLED = 5,
CUDA_ERROR_PROFILER_NOT_INITIALIZED = 6, CUDA_ERROR_PROFILER_ALREADY_STARTED = 7,
CUDA_ERROR_PROFILER_ALREADY_STOPPED = 8, CUDA_ERROR_NO_DEVICE = 100, CUDA_ERROR_INVALID_DEVICE =
101, CUDA_ERROR_INVALID_IMAGE = 200, CUDA_ERROR_INVALID_CONTEXT = 201,
CUDA_ERROR_CONTEXT_ALREADY_CURRENT = 202, CUDA_ERROR_MAP_FAILED = 205, CUDA_ERROR_UNMAP_FAILED =
206, CUDA_ERROR_ARRAY_IS_MAPPED = 207, CUDA_ERROR_ALREADY_MAPPED = 208,
CUDA_ERROR_NO_BINARY_FOR_GPU = 209, CUDA_ERROR_ALREADY_ACQUIRED = 210, CUDA_ERROR_NOT_MAPPED =
211, CUDA_ERROR_NOT_MAPPED_AS_ARRAY = 212, CUDA_ERROR_NOT_MAPPED_AS_POINTER = 213,
CUDA_ERROR_ECC_UNCORRECTABLE = 214, CUDA_ERROR_UNSUPPORTED_LIMIT = 215,
CUDA_ERROR_CONTEXT_ALREADY_IN_USE = 216, CUDA_ERROR_PEER_ACCESS_UNSUPPORTED = 217,
CUDA_ERROR_INVALID_PTX = 218, CUDA_ERROR_INVALID_GRAPHICS_CONTEXT = 219, CUDA_ERROR_INVALID_SOURCE
= 300, CUDA_ERROR_FILE_NOT_FOUND = 301, CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND = 302,
CUDA_ERROR_SHARED_OBJECT_INIT_FAILED = 303, CUDA_ERROR_OPERATING_SYSTEM = 304,
CUDA_ERROR_INVALID_HANDLE = 400, CUDA_ERROR_NOT_FOUND = 500, CUDA_ERROR_NOT_READY = 600,
CUDA_ERROR_ILLEGAL_ADDRESS = 700, CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES = 701,
CUDA_ERROR_LAUNCH_TIMEOUT = 702, CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING = 703,
CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED = 704, CUDA_ERROR_PEER_ACCESS_NOT_ENABLED = 705,
CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE = 708, CUDA_ERROR_CONTEXT_IS_DESTROYED = 709, CUDA_ERROR_ASSERT =
710, CUDA_ERROR_TOO_MANY_PEERS = 711, CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED = 712,
CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED = 713, CUDA_ERROR_HARDWARE_STACK_ERROR = 714,
CUDA_ERROR_ILLEGAL_INSTRUCTION = 715, CUDA_ERROR_MISALIGNED_ADDRESS = 716,
CUDA_ERROR_INVALID_ADDRESS_SPACE = 717, CUDA_ERROR_INVALID_PC = 718, CUDA_ERROR_LAUNCH_FAILED =
719, CUDA_ERROR_NOT_PERMITTED = 800, CUDA_ERROR_NOT_SUPPORTED = 801, CUDA_ERROR_UNKNOWN = 999 }
enum CUsharedconfig { CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE = 0x00,
CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE = 0x01, CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE = 0x02 }
enum CUstream_flags { CU_STREAM_DEFAULT = 0x0, CU_STREAM_NON_BLOCKING = 0x1 }
Define Documentation
#define CU_IPC_HANDLE_SIZE 64
CUDA IPC handle size
#define CU_LAUNCH_PARAM_BUFFER_POINTER ((void*)0x01)
Indicator that the next value in the extra parameter to cuLaunchKernel will be a pointer to a buffer
containing all kernel parameters used for launching kernel f. This buffer needs to honor all
alignment/padding requirements of the individual parameters. If CU_LAUNCH_PARAM_BUFFER_SIZE is not also
specified in the extra array, then CU_LAUNCH_PARAM_BUFFER_POINTER will have no effect.
#define CU_LAUNCH_PARAM_BUFFER_SIZE ((void*)0x02)
Indicator that the next value in the extra parameter to cuLaunchKernel will be a pointer to a size_t
which contains the size of the buffer specified with CU_LAUNCH_PARAM_BUFFER_POINTER. It is required that
CU_LAUNCH_PARAM_BUFFER_POINTER also be specified in the extra array if the value associated with
CU_LAUNCH_PARAM_BUFFER_SIZE is not zero.
#define CU_LAUNCH_PARAM_END ((void*)0x00)
End of array terminator for the extra parameter to cuLaunchKernel
#define CU_MEMHOSTALLOC_DEVICEMAP 0x02
If set, host memory is mapped into CUDA address space and cuMemHostGetDevicePointer() may be called on
the host pointer. Flag for cuMemHostAlloc()
#define CU_MEMHOSTALLOC_PORTABLE 0x01
If set, host memory is portable between CUDA contexts. Flag for cuMemHostAlloc()
#define CU_MEMHOSTALLOC_WRITECOMBINED 0x04
If set, host memory is allocated as write-combined - fast to write, faster to DMA, slow to read except
via SSE4 streaming load instruction (MOVNTDQA). Flag for cuMemHostAlloc()
#define CU_MEMHOSTREGISTER_DEVICEMAP 0x02
If set, host memory is mapped into CUDA address space and cuMemHostGetDevicePointer() may be called on
the host pointer. Flag for cuMemHostRegister()
#define CU_MEMHOSTREGISTER_IOMEMORY 0x04
If set, the passed memory pointer is treated as pointing to some memory-mapped I/O space, e.g. belonging
to a third-party PCIe device. On Windows the flag is a no-op. On Linux that memory is marked as non
cache-coherent for the GPU and is expected to be physically contiguous. It may return
CUDA_ERROR_NOT_PERMITTED if run as an unprivileged user, CUDA_ERROR_NOT_SUPPORTED on older Linux kernel
versions. On all other platforms, it is not supported and CUDA_ERROR_NOT_SUPPORTED is returned. Flag for
cuMemHostRegister()
#define CU_MEMHOSTREGISTER_PORTABLE 0x01
If set, host memory is portable between CUDA contexts. Flag for cuMemHostRegister()
#define CU_PARAM_TR_DEFAULT -1
For texture references loaded into the module, use default texunit from texture reference.
#define CU_STREAM_LEGACY ((CUstream)0x1)
Legacy stream handle
Stream handle that can be passed as a CUstream to use an implicit stream with legacy synchronization
behavior.
See details of the .
#define CU_STREAM_PER_THREAD ((CUstream)0x2)
Per-thread stream handle
Stream handle that can be passed as a CUstream to use an implicit stream with per-thread synchronization
behavior.
See details of the .
#define CU_TRSA_OVERRIDE_FORMAT 0x01
Override the texref format with a format inferred from the array. Flag for cuTexRefSetArray()
#define CU_TRSF_NORMALIZED_COORDINATES 0x02
Use normalized texture coordinates in the range [0,1) instead of [0,dim). Flag for cuTexRefSetFlags()
#define CU_TRSF_READ_AS_INTEGER 0x01
Read the texture as integers rather than promoting the values to floats in the range [0,1]. Flag for
cuTexRefSetFlags()
#define CU_TRSF_SRGB 0x10
Perform sRGB->linear conversion during texture read. Flag for cuTexRefSetFlags()
#define CUDA_ARRAY3D_2DARRAY 0x01
Deprecated, use CUDA_ARRAY3D_LAYERED
#define CUDA_ARRAY3D_CUBEMAP 0x04
If set, the CUDA array is a collection of six 2D arrays, representing faces of a cube. The width of such
a CUDA array must be equal to its height, and Depth must be six. If CUDA_ARRAY3D_LAYERED flag is also
set, then the CUDA array is a collection of cubemaps and Depth must be a multiple of six.
#define CUDA_ARRAY3D_DEPTH_TEXTURE 0x10
This flag if set indicates that the CUDA array is a DEPTH_TEXTURE.
#define CUDA_ARRAY3D_LAYERED 0x01
If set, the CUDA array is a collection of layers, where each layer is either a 1D or a 2D array and the
Depth member of CUDA_ARRAY3D_DESCRIPTOR specifies the number of layers, not the depth of a 3D array.
#define CUDA_ARRAY3D_SURFACE_LDST 0x02
This flag must be set in order to bind a surface reference to the CUDA array
#define CUDA_ARRAY3D_TEXTURE_GATHER 0x08
This flag must be set in order to perform texture gather operations on a CUDA array.
#define CUDA_VERSION 7050
CUDA API version number
Typedef Documentation
typedef struct CUarray_st* CUarray
CUDA array
typedef struct CUctx_st* CUcontext
CUDA context
typedef int CUdevice
CUDA device
typedef unsigned int CUdeviceptr
CUDA device pointer CUdeviceptr is defined as an unsigned integer type whose size matches the size of a
pointer on the target platform.
typedef struct CUevent_st* CUevent
CUDA event
typedef struct CUfunc_st* CUfunction
CUDA function
typedef struct CUgraphicsResource_st* CUgraphicsResource
CUDA graphics interop resource
typedef struct CUmipmappedArray_st* CUmipmappedArray
CUDA mipmapped array
typedef struct CUmod_st* CUmodule
CUDA module
typedef size_t(CUDA_CB * CUoccupancyB2DSize)(int blockSize)
Block size to per-block dynamic shared memory mapping for a certain kernel
Parameters:
blockSize Block size of the kernel.
Returns:
The dynamic shared memory needed by a block.
typedef struct CUstream_st* CUstream
CUDA stream
typedef void(CUDA_CB * CUstreamCallback)(CUstream hStream, CUresult status, void *userData)
CUDA stream callback
Parameters:
hStream The stream the callback was added to, as passed to cuStreamAddCallback. May be NULL.
status CUDA_SUCCESS or any persistent error on the stream.
userData User parameter provided at registration.
typedef unsigned long long CUsurfObject
An opaque value that represents a CUDA surface object
typedef struct CUsurfref_st* CUsurfref
CUDA surface reference
typedef unsigned long long CUtexObject
An opaque value that represents a CUDA texture object
typedef struct CUtexref_st* CUtexref
CUDA texture reference
Enumeration Type Documentation
enum CUaddress_mode
Texture reference addressing modes
Enumerator:
CU_TR_ADDRESS_MODE_WRAP
Wrapping address mode
CU_TR_ADDRESS_MODE_CLAMP
Clamp to edge address mode
CU_TR_ADDRESS_MODE_MIRROR
Mirror address mode
CU_TR_ADDRESS_MODE_BORDER
Border address mode
enum CUarray_cubemap_face
Array indices for cube faces
Enumerator:
CU_CUBEMAP_FACE_POSITIVE_X
Positive X face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_X
Negative X face of cubemap
CU_CUBEMAP_FACE_POSITIVE_Y
Positive Y face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_Y
Negative Y face of cubemap
CU_CUBEMAP_FACE_POSITIVE_Z
Positive Z face of cubemap
CU_CUBEMAP_FACE_NEGATIVE_Z
Negative Z face of cubemap
enum CUarray_format
Array formats
Enumerator:
CU_AD_FORMAT_UNSIGNED_INT8
Unsigned 8-bit integers
CU_AD_FORMAT_UNSIGNED_INT16
Unsigned 16-bit integers
CU_AD_FORMAT_UNSIGNED_INT32
Unsigned 32-bit integers
CU_AD_FORMAT_SIGNED_INT8
Signed 8-bit integers
CU_AD_FORMAT_SIGNED_INT16
Signed 16-bit integers
CU_AD_FORMAT_SIGNED_INT32
Signed 32-bit integers
CU_AD_FORMAT_HALF
16-bit floating point
CU_AD_FORMAT_FLOAT
32-bit floating point
enum CUcomputemode
Compute Modes
Enumerator:
CU_COMPUTEMODE_DEFAULT
Default compute mode (Multiple contexts allowed per device)
CU_COMPUTEMODE_EXCLUSIVE
Compute-exclusive-thread mode (Only one context used by a single thread can be present on this
device at a time)
CU_COMPUTEMODE_PROHIBITED
Compute-prohibited mode (No contexts can be created on this device at this time)
CU_COMPUTEMODE_EXCLUSIVE_PROCESS
Compute-exclusive-process mode (Only one context used by a single process can be present on this
device at a time)
enum CUctx_flags
Context creation flags
Enumerator:
CU_CTX_SCHED_AUTO
Automatic scheduling
CU_CTX_SCHED_SPIN
Set spin as default scheduling
CU_CTX_SCHED_YIELD
Set yield as default scheduling
CU_CTX_SCHED_BLOCKING_SYNC
Set blocking synchronization as default scheduling
CU_CTX_BLOCKING_SYNC
Set blocking synchronization as default scheduling
Deprecated
This flag was deprecated as of CUDA 4.0 and was replaced with CU_CTX_SCHED_BLOCKING_SYNC.
CU_CTX_MAP_HOST
Support mapped pinned allocations
CU_CTX_LMEM_RESIZE_TO_MAX
Keep local memory allocation after launch
enum CUdevice_attribute
Device properties
Enumerator:
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK
Maximum number of threads per block
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X
Maximum block dimension X
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y
Maximum block dimension Y
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z
Maximum block dimension Z
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X
Maximum grid dimension X
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y
Maximum grid dimension Y
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z
Maximum grid dimension Z
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK
Maximum shared memory available per block in bytes
CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK
Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK
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 memory copies
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK
Maximum number of 32-bit registers available per block
CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK
Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK
CU_DEVICE_ATTRIBUTE_CLOCK_RATE
Typical clock frequency in kilohertz
CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT
Alignment requirement for textures
CU_DEVICE_ATTRIBUTE_GPU_OVERLAP
Device can possibly copy memory and execute a kernel concurrently. Deprecated. Use instead
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT.
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT
Number of multiprocessors on device
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT
Specifies whether there is a run time limit on kernels
CU_DEVICE_ATTRIBUTE_INTEGRATED
Device is integrated with host memory
CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY
Device can map host memory into CUDA address space
CU_DEVICE_ATTRIBUTE_COMPUTE_MODE
Compute mode (See CUcomputemode for details)
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH
Maximum 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_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_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_TEXTURE2D_ARRAY_WIDTH
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES
Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS
CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT
Alignment requirement for surfaces
CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS
Device can possibly execute multiple kernels concurrently
CU_DEVICE_ATTRIBUTE_ECC_ENABLED
Device has ECC support enabled
CU_DEVICE_ATTRIBUTE_PCI_BUS_ID
PCI bus ID of the device
CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID
PCI device ID of the device
CU_DEVICE_ATTRIBUTE_TCC_DRIVER
Device is using TCC driver model
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
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR
Maximum resident threads per multiprocessor
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT
Number of asynchronous engines
CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING
Device shares a unified address space with the host
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_CAN_TEX2D_GATHER
Deprecated, do not use.
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH
Maximum 2D texture width if CUDA_ARRAY3D_TEXTURE_GATHER is set
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT
Maximum 2D texture height if CUDA_ARRAY3D_TEXTURE_GATHER is set
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE
Alternate maximum 3D texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE
Alternate maximum 3D texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE
Alternate maximum 3D texture depth
CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID
PCI domain ID of the device
CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT
Pitch alignment requirement for textures
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH
Maximum cubemap texture width/height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH
Maximum cubemap layered texture width/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_MAXIMUM_TEXTURE1D_LINEAR_WIDTH
Maximum 1D linear texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH
Maximum 2D linear texture width
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT
Maximum 2D linear texture height
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH
Maximum 2D linear texture pitch in bytes
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_COMPUTE_CAPABILITY_MAJOR
Major compute capability version number
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR
Minor compute capability version number
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH
Maximum mipmapped 1D texture width
CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED
Device supports stream priorities
CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED
Device supports caching globals in L1
CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED
Device supports caching locals in L1
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR
Maximum shared memory available per multiprocessor in bytes
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR
Maximum number of 32-bit registers available per multiprocessor
CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY
Device can allocate managed memory on this system
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD
Device is on a multi-GPU board
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID
Unique id for a group of devices on the same multi-GPU board
enum CUevent_flags
Event creation flags
Enumerator:
CU_EVENT_DEFAULT
Default event flag
CU_EVENT_BLOCKING_SYNC
Event uses blocking synchronization
CU_EVENT_DISABLE_TIMING
Event will not record timing data
CU_EVENT_INTERPROCESS
Event is suitable for interprocess use. CU_EVENT_DISABLE_TIMING must be set
enum CUfilter_mode
Texture reference filtering modes
Enumerator:
CU_TR_FILTER_MODE_POINT
Point filter mode
CU_TR_FILTER_MODE_LINEAR
Linear filter mode
enum CUfunc_cache
Function cache configurations
Enumerator:
CU_FUNC_CACHE_PREFER_NONE
no preference for shared memory or L1 (default)
CU_FUNC_CACHE_PREFER_SHARED
prefer larger shared memory and smaller L1 cache
CU_FUNC_CACHE_PREFER_L1
prefer larger L1 cache and smaller shared memory
CU_FUNC_CACHE_PREFER_EQUAL
prefer equal sized L1 cache and shared memory
enum CUfunction_attribute
Function properties
Enumerator:
CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK
The maximum number of threads per block, beyond which a launch of the function would fail. This
number depends on both the function and the device on which the function is currently loaded.
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES
The size in bytes of statically-allocated shared memory required by this function. This does not
include dynamically-allocated shared memory requested by the user at runtime.
CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES
The size in bytes of user-allocated constant memory required by this function.
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES
The size in bytes of local memory used by each thread of this function.
CU_FUNC_ATTRIBUTE_NUM_REGS
The number of registers used by each thread of this function.
CU_FUNC_ATTRIBUTE_PTX_VERSION
The PTX virtual architecture version for which the function was compiled. This value is the major
PTX version * 10 + the minor PTX version, so a PTX version 1.3 function would return the value 13.
Note that this may return the undefined value of 0 for cubins compiled prior to CUDA 3.0.
CU_FUNC_ATTRIBUTE_BINARY_VERSION
The binary architecture version for which the function was compiled. This value is the major
binary version * 10 + the minor binary version, so a binary version 1.3 function would return the
value 13. Note that this will return a value of 10 for legacy cubins that do not have a properly-
encoded binary architecture version.
CU_FUNC_ATTRIBUTE_CACHE_MODE_CA
The attribute to indicate whether the function has been compiled with user specified option
'-Xptxas --dlcm=ca' set .
enum CUgraphicsMapResourceFlags
Flags for mapping and unmapping interop resources
enum CUgraphicsRegisterFlags
Flags to register a graphics resource
enum CUipcMem_flags
CUDA Ipc Mem Flags
Enumerator:
CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS
Automatically enable peer access between remote devices as needed
enum CUjit_cacheMode
Caching modes for dlcm
Enumerator:
CU_JIT_CACHE_OPTION_NONE
Compile with no -dlcm flag specified
CU_JIT_CACHE_OPTION_CG
Compile with L1 cache disabled
CU_JIT_CACHE_OPTION_CA
Compile with L1 cache enabled
enum CUjit_fallback
Cubin matching fallback strategies
Enumerator:
CU_PREFER_PTX
Prefer to compile ptx if exact binary match not found
CU_PREFER_BINARY
Prefer to fall back to compatible binary code if exact match not found
enum CUjit_option
Online compiler and linker options
Enumerator:
CU_JIT_MAX_REGISTERS
Max number of registers that a thread may use.
Option type: unsigned int
Applies to: compiler only
CU_JIT_THREADS_PER_BLOCK
IN: Specifies minimum number of threads per block to target compilation for
OUT: Returns the number of threads the compiler actually targeted. This restricts the resource
utilization fo the compiler (e.g. max registers) such that a block with the given number of
threads should be able to launch based on register limitations. Note, this option does not
currently take into account any other resource limitations, such as shared memory utilization.
Cannot be combined with CU_JIT_TARGET.
Option type: unsigned int
Applies to: compiler only
CU_JIT_WALL_TIME
Overwrites the option value with the total wall clock time, in milliseconds, spent in the compiler
and linker
Option type: float
Applies to: compiler and linker
CU_JIT_INFO_LOG_BUFFER
Pointer to a buffer in which to print any log messages that are informational in nature (the
buffer size is specified via option CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES)
Option type: char *
Applies to: compiler and linker
CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES
IN: Log buffer size in bytes. Log messages will be capped at this size (including null terminator)
OUT: Amount of log buffer filled with messages
Option type: unsigned int
Applies to: compiler and linker
CU_JIT_ERROR_LOG_BUFFER
Pointer to a buffer in which to print any log messages that reflect errors (the buffer size is
specified via option CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES)
Option type: char *
Applies to: compiler and linker
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES
IN: Log buffer size in bytes. Log messages will be capped at this size (including null terminator)
OUT: Amount of log buffer filled with messages
Option type: unsigned int
Applies to: compiler and linker
CU_JIT_OPTIMIZATION_LEVEL
Level of optimizations to apply to generated code (0 - 4), with 4 being the default and highest
level of optimizations.
Option type: unsigned int
Applies to: compiler only
CU_JIT_TARGET_FROM_CUCONTEXT
No option value required. Determines the target based on the current attached context (default)
Option type: No option value needed
Applies to: compiler and linker
CU_JIT_TARGET
Target is chosen based on supplied CUjit_target. Cannot be combined with CU_JIT_THREADS_PER_BLOCK.
Option type: unsigned int for enumerated type CUjit_target
Applies to: compiler and linker
CU_JIT_FALLBACK_STRATEGY
Specifies choice of fallback strategy if matching cubin is not found. Choice is based on supplied
CUjit_fallback. This option cannot be used with cuLink* APIs as the linker requires exact matches.
Option type: unsigned int for enumerated type CUjit_fallback
Applies to: compiler only
CU_JIT_GENERATE_DEBUG_INFO
Specifies whether to create debug information in output (-g) (0: false, default)
Option type: int
Applies to: compiler and linker
CU_JIT_LOG_VERBOSE
Generate verbose log messages (0: false, default)
Option type: int
Applies to: compiler and linker
CU_JIT_GENERATE_LINE_INFO
Generate line number information (-lineinfo) (0: false, default)
Option type: int
Applies to: compiler only
CU_JIT_CACHE_MODE
Specifies whether to enable caching explicitly (-dlcm)
Choice is based on supplied CUjit_cacheMode_enum.
Option type: unsigned int for enumerated type CUjit_cacheMode_enum
Applies to: compiler only
enum CUjit_target
Online compilation targets
Enumerator:
CU_TARGET_COMPUTE_10
Compute device class 1.0
CU_TARGET_COMPUTE_11
Compute device class 1.1
CU_TARGET_COMPUTE_12
Compute device class 1.2
CU_TARGET_COMPUTE_13
Compute device class 1.3
CU_TARGET_COMPUTE_20
Compute device class 2.0
CU_TARGET_COMPUTE_21
Compute device class 2.1
CU_TARGET_COMPUTE_30
Compute device class 3.0
CU_TARGET_COMPUTE_32
Compute device class 3.2
CU_TARGET_COMPUTE_35
Compute device class 3.5
CU_TARGET_COMPUTE_37
Compute device class 3.7
CU_TARGET_COMPUTE_50
Compute device class 5.0
CU_TARGET_COMPUTE_52
Compute device class 5.2
enum CUjitInputType
Device code formats
Enumerator:
CU_JIT_INPUT_CUBIN
Compiled device-class-specific device code
Applicable options: none
CU_JIT_INPUT_PTX
PTX source code
Applicable options: PTX compiler options
CU_JIT_INPUT_FATBINARY
Bundle of multiple cubins and/or PTX of some device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
CU_JIT_INPUT_OBJECT
Host object with embedded device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
CU_JIT_INPUT_LIBRARY
Archive of host objects with embedded device code
Applicable options: PTX compiler options, CU_JIT_FALLBACK_STRATEGY
enum CUlimit
Limits
Enumerator:
CU_LIMIT_STACK_SIZE
GPU thread stack size
CU_LIMIT_PRINTF_FIFO_SIZE
GPU printf FIFO size
CU_LIMIT_MALLOC_HEAP_SIZE
GPU malloc heap size
CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH
GPU device runtime launch synchronize depth
CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT
GPU device runtime pending launch count
enum CUmemAttach_flags
CUDA Mem Attach Flags
Enumerator:
CU_MEM_ATTACH_GLOBAL
Memory can be accessed by any stream on any device
CU_MEM_ATTACH_HOST
Memory cannot be accessed by any stream on any device
CU_MEM_ATTACH_SINGLE
Memory can only be accessed by a single stream on the associated device
enum CUmemorytype
Memory types
Enumerator:
CU_MEMORYTYPE_HOST
Host memory
CU_MEMORYTYPE_DEVICE
Device memory
CU_MEMORYTYPE_ARRAY
Array memory
CU_MEMORYTYPE_UNIFIED
Unified device or host memory
enum CUoccupancy_flags
Occupancy calculator flag
Enumerator:
CU_OCCUPANCY_DEFAULT
Default behavior
CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE
Assume global caching is enabled and cannot be automatically turned off
enum CUpointer_attribute
Pointer information
Enumerator:
CU_POINTER_ATTRIBUTE_CONTEXT
The CUcontext on which a pointer was allocated or registered
CU_POINTER_ATTRIBUTE_MEMORY_TYPE
The CUmemorytype describing the physical location of a pointer
CU_POINTER_ATTRIBUTE_DEVICE_POINTER
The address at which a pointer's memory may be accessed on the device
CU_POINTER_ATTRIBUTE_HOST_POINTER
The address at which a pointer's memory may be accessed on the host
CU_POINTER_ATTRIBUTE_P2P_TOKENS
A pair of tokens for use with the nv-p2p.h Linux kernel interface
CU_POINTER_ATTRIBUTE_SYNC_MEMOPS
Synchronize every synchronous memory operation initiated on this region
CU_POINTER_ATTRIBUTE_BUFFER_ID
A process-wide unique ID for an allocated memory region
CU_POINTER_ATTRIBUTE_IS_MANAGED
Indicates if the pointer points to managed memory
enum CUresourcetype
Resource types
Enumerator:
CU_RESOURCE_TYPE_ARRAY
Array resoure
CU_RESOURCE_TYPE_MIPMAPPED_ARRAY
Mipmapped array resource
CU_RESOURCE_TYPE_LINEAR
Linear resource
CU_RESOURCE_TYPE_PITCH2D
Pitch 2D resource
enum CUresourceViewFormat
Resource view format
Enumerator:
CU_RES_VIEW_FORMAT_NONE
No resource view format (use underlying resource format)
CU_RES_VIEW_FORMAT_UINT_1X8
1 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_UINT_2X8
2 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_UINT_4X8
4 channel unsigned 8-bit integers
CU_RES_VIEW_FORMAT_SINT_1X8
1 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_SINT_2X8
2 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_SINT_4X8
4 channel signed 8-bit integers
CU_RES_VIEW_FORMAT_UINT_1X16
1 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_UINT_2X16
2 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_UINT_4X16
4 channel unsigned 16-bit integers
CU_RES_VIEW_FORMAT_SINT_1X16
1 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_SINT_2X16
2 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_SINT_4X16
4 channel signed 16-bit integers
CU_RES_VIEW_FORMAT_UINT_1X32
1 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_UINT_2X32
2 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_UINT_4X32
4 channel unsigned 32-bit integers
CU_RES_VIEW_FORMAT_SINT_1X32
1 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_SINT_2X32
2 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_SINT_4X32
4 channel signed 32-bit integers
CU_RES_VIEW_FORMAT_FLOAT_1X16
1 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_2X16
2 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_4X16
4 channel 16-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_1X32
1 channel 32-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_2X32
2 channel 32-bit floating point
CU_RES_VIEW_FORMAT_FLOAT_4X32
4 channel 32-bit floating point
CU_RES_VIEW_FORMAT_UNSIGNED_BC1
Block compressed 1
CU_RES_VIEW_FORMAT_UNSIGNED_BC2
Block compressed 2
CU_RES_VIEW_FORMAT_UNSIGNED_BC3
Block compressed 3
CU_RES_VIEW_FORMAT_UNSIGNED_BC4
Block compressed 4 unsigned
CU_RES_VIEW_FORMAT_SIGNED_BC4
Block compressed 4 signed
CU_RES_VIEW_FORMAT_UNSIGNED_BC5
Block compressed 5 unsigned
CU_RES_VIEW_FORMAT_SIGNED_BC5
Block compressed 5 signed
CU_RES_VIEW_FORMAT_UNSIGNED_BC6H
Block compressed 6 unsigned half-float
CU_RES_VIEW_FORMAT_SIGNED_BC6H
Block compressed 6 signed half-float
CU_RES_VIEW_FORMAT_UNSIGNED_BC7
Block compressed 7
enum CUresult
Error codes
Enumerator:
CUDA_SUCCESS
The API call returned with no errors. In the case of query calls, this can also mean that the
operation being queried is complete (see cuEventQuery() and cuStreamQuery()).
CUDA_ERROR_INVALID_VALUE
This indicates that one or more of the parameters passed to the API call is not within an
acceptable range of values.
CUDA_ERROR_OUT_OF_MEMORY
The API call failed because it was unable to allocate enough memory to perform the requested
operation.
CUDA_ERROR_NOT_INITIALIZED
This indicates that the CUDA driver has not been initialized with cuInit() or that initialization
has failed.
CUDA_ERROR_DEINITIALIZED
This indicates that the CUDA driver is in the process of shutting down.
CUDA_ERROR_PROFILER_DISABLED
This indicates profiler is not initialized for this run. This can happen when the application is
running with external profiling tools like visual profiler.
CUDA_ERROR_PROFILER_NOT_INITIALIZED
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to attempt to enable/disable
the profiling via cuProfilerStart or cuProfilerStop without initialization.
CUDA_ERROR_PROFILER_ALREADY_STARTED
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call cuProfilerStart()
when profiling is already enabled.
CUDA_ERROR_PROFILER_ALREADY_STOPPED
Deprecated
This error return is deprecated as of CUDA 5.0. It is no longer an error to call cuProfilerStop()
when profiling is already disabled.
CUDA_ERROR_NO_DEVICE
This indicates that no CUDA-capable devices were detected by the installed CUDA driver.
CUDA_ERROR_INVALID_DEVICE
This indicates that the device ordinal supplied by the user does not correspond to a valid CUDA
device.
CUDA_ERROR_INVALID_IMAGE
This indicates that the device kernel image is invalid. This can also indicate an invalid CUDA
module.
CUDA_ERROR_INVALID_CONTEXT
This most frequently indicates that there is no context bound to the current thread. This can also
be returned if the context passed to an API call is not a valid handle (such as a context that has
had cuCtxDestroy() invoked on it). This can also be returned if a user mixes different API
versions (i.e. 3010 context with 3020 API calls). See cuCtxGetApiVersion() for more details.
CUDA_ERROR_CONTEXT_ALREADY_CURRENT
This indicated that the context being supplied as a parameter to the API call was already the
active context.
Deprecated
This error return is deprecated as of CUDA 3.2. It is no longer an error to attempt to push the
active context via cuCtxPushCurrent().
CUDA_ERROR_MAP_FAILED
This indicates that a map or register operation has failed.
CUDA_ERROR_UNMAP_FAILED
This indicates that an unmap or unregister operation has failed.
CUDA_ERROR_ARRAY_IS_MAPPED
This indicates that the specified array is currently mapped and thus cannot be destroyed.
CUDA_ERROR_ALREADY_MAPPED
This indicates that the resource is already mapped.
CUDA_ERROR_NO_BINARY_FOR_GPU
This indicates that there is no kernel image available that is suitable for the device. This can
occur when a user specifies code generation options for a particular CUDA source file that do not
include the corresponding device configuration.
CUDA_ERROR_ALREADY_ACQUIRED
This indicates that a resource has already been acquired.
CUDA_ERROR_NOT_MAPPED
This indicates that a resource is not mapped.
CUDA_ERROR_NOT_MAPPED_AS_ARRAY
This indicates that a mapped resource is not available for access as an array.
CUDA_ERROR_NOT_MAPPED_AS_POINTER
This indicates that a mapped resource is not available for access as a pointer.
CUDA_ERROR_ECC_UNCORRECTABLE
This indicates that an uncorrectable ECC error was detected during execution.
CUDA_ERROR_UNSUPPORTED_LIMIT
This indicates that the CUlimit passed to the API call is not supported by the active device.
CUDA_ERROR_CONTEXT_ALREADY_IN_USE
This indicates that the CUcontext passed to the API call can only be bound to a single CPU thread
at a time but is already bound to a CPU thread.
CUDA_ERROR_PEER_ACCESS_UNSUPPORTED
This indicates that peer access is not supported across the given devices.
CUDA_ERROR_INVALID_PTX
This indicates that a PTX JIT compilation failed.
CUDA_ERROR_INVALID_GRAPHICS_CONTEXT
This indicates an error with OpenGL or DirectX context.
CUDA_ERROR_INVALID_SOURCE
This indicates that the device kernel source is invalid.
CUDA_ERROR_FILE_NOT_FOUND
This indicates that the file specified was not found.
CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND
This indicates that a link to a shared object failed to resolve.
CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
This indicates that initialization of a shared object failed.
CUDA_ERROR_OPERATING_SYSTEM
This indicates that an OS call failed.
CUDA_ERROR_INVALID_HANDLE
This indicates that a resource handle passed to the API call was not valid. Resource handles are
opaque types like CUstream and CUevent.
CUDA_ERROR_NOT_FOUND
This indicates that a named symbol was not found. Examples of symbols are global/constant variable
names, texture names, and surface names.
CUDA_ERROR_NOT_READY
This indicates that asynchronous operations issued previously have not completed yet. This result
is not actually an error, but must be indicated differently than CUDA_SUCCESS (which indicates
completion). Calls that may return this value include cuEventQuery() and cuStreamQuery().
CUDA_ERROR_ILLEGAL_ADDRESS
While executing a kernel, the device encountered a load or store instruction on an invalid memory
address. The context cannot be used, so it must be destroyed (and a new one should be created).
All existing device memory allocations from this context are invalid and must be reconstructed if
the program is to continue using CUDA.
CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES
This indicates that a launch did not occur because it did not have appropriate resources. This
error usually indicates that the user has attempted to pass too many arguments to the device
kernel, or the kernel launch specifies too many threads for the kernel's register count. Passing
arguments of the wrong size (i.e. a 64-bit pointer when a 32-bit int is expected) is equivalent to
passing too many arguments and can also result in this error.
CUDA_ERROR_LAUNCH_TIMEOUT
This indicates that the device kernel took too long to execute. This can only occur if timeouts
are enabled - see the device attribute CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT for more
information. The context cannot be used (and must be destroyed similar to
CUDA_ERROR_LAUNCH_FAILED). All existing device memory allocations from this context are invalid
and must be reconstructed if the program is to continue using CUDA.
CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING
This error indicates a kernel launch that uses an incompatible texturing mode.
CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED
This error indicates that a call to cuCtxEnablePeerAccess() is trying to re-enable peer access to
a context which has already had peer access to it enabled.
CUDA_ERROR_PEER_ACCESS_NOT_ENABLED
This error indicates that cuCtxDisablePeerAccess() is trying to disable peer access which has not
been enabled yet via cuCtxEnablePeerAccess().
CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE
This error indicates that the primary context for the specified device has already been
initialized.
CUDA_ERROR_CONTEXT_IS_DESTROYED
This error indicates that the context current to the calling thread has been destroyed using
cuCtxDestroy, or is a primary context which has not yet been initialized.
CUDA_ERROR_ASSERT
A device-side assert triggered during kernel execution. The context cannot be used anymore, and
must be destroyed. All existing device memory allocations from this context are invalid and must
be reconstructed if the program is to continue using CUDA.
CUDA_ERROR_TOO_MANY_PEERS
This error indicates that the hardware resources required to enable peer access have been
exhausted for one or more of the devices passed to cuCtxEnablePeerAccess().
CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED
This error indicates that the memory range passed to cuMemHostRegister() has already been
registered.
CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED
This error indicates that the pointer passed to cuMemHostUnregister() does not correspond to any
currently registered memory region.
CUDA_ERROR_HARDWARE_STACK_ERROR
While executing a kernel, the device encountered a stack error. This can be due to stack
corruption or exceeding the stack size limit. The context cannot be used, so it must be destroyed
(and a new one should be created). All existing device memory allocations from this context are
invalid and must be reconstructed if the program is to continue using CUDA.
CUDA_ERROR_ILLEGAL_INSTRUCTION
While executing a kernel, the device encountered an illegal instruction. The context cannot be
used, so it must be destroyed (and a new one should be created). All existing device memory
allocations from this context are invalid and must be reconstructed if the program is to continue
using CUDA.
CUDA_ERROR_MISALIGNED_ADDRESS
While executing a kernel, the device encountered a load or store instruction on a memory address
which is not aligned. The context cannot be used, so it must be destroyed (and a new one should be
created). All existing device memory allocations from this context are invalid and must be
reconstructed if the program is to continue using CUDA.
CUDA_ERROR_INVALID_ADDRESS_SPACE
While executing a kernel, the device encountered an instruction which can only operate on memory
locations in certain address spaces (global, shared, or local), but was supplied a memory address
not belonging to an allowed address space. The context cannot be used, so it must be destroyed
(and a new one should be created). All existing device memory allocations from this context are
invalid and must be reconstructed if the program is to continue using CUDA.
CUDA_ERROR_INVALID_PC
While executing a kernel, the device program counter wrapped its address space. The context cannot
be used, so it must be destroyed (and a new one should be created). All existing device memory
allocations from this context are invalid and must be reconstructed if the program is to continue
using CUDA.
CUDA_ERROR_LAUNCH_FAILED
An exception occurred on the device while executing a kernel. Common causes include dereferencing
an invalid device pointer and accessing out of bounds shared memory. The context cannot be used,
so it must be destroyed (and a new one should be created). All existing device memory allocations
from this context are invalid and must be reconstructed if the program is to continue using CUDA.
CUDA_ERROR_NOT_PERMITTED
This error indicates that the attempted operation is not permitted.
CUDA_ERROR_NOT_SUPPORTED
This error indicates that the attempted operation is not supported on the current system or
device.
CUDA_ERROR_UNKNOWN
This indicates that an unknown internal error has occurred.
enum CUsharedconfig
Shared memory configurations
Enumerator:
CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE
set default shared memory bank size
CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE
set shared memory bank width to four bytes
CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE
set shared memory bank width to eight bytes
enum CUstream_flags
Stream creation flags
Enumerator:
CU_STREAM_DEFAULT
Default stream flag
CU_STREAM_NON_BLOCKING
Stream does not synchronize with stream 0 (the NULL stream)
Author
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