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Occupancy

\brief occupancy calculation functions of the CUDA runtime API (cuda_runtime_api.h)

This section describes the occupancy calculation functions of the CUDA runtime application programming interface.

Besides the occupancy calculator functions (cudaOccupancyMaxActiveBlocksPerMultiprocessor and cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags), there are also C++ only occupancy-based launch configuration functions documented in C++ API Routines module.

See cudaOccupancyMaxPotentialBlockSize (C++ API), cudaOccupancyMaxPotentialBlockSize (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)

__cudart_builtin__ cudaError_t cudaOccupancyMaxActiveBlocksPerMultiprocessor (int * numBlocks, const void * func, int blockSize, size_t dynamicSMemSize)

Returns in *numBlocks the maximum number of active blocks per streaming multiprocessor for the device function.

Parameters:

numBlocks - Returned occupancy
func - Kernel function for which occupancy is calculated
blockSize - Block size the kernel is intended to be launched with
dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes

Returns:

cudaSuccess, cudaErrorInvalidDevice, cudaErrorInvalidDeviceFunction, cudaErrorInvalidValue, cudaErrorUnknown,

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags, cudaOccupancyMaxPotentialBlockSize (C++ API), cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API), cuOccupancyMaxActiveBlocksPerMultiprocessor

__cudart_builtin__ cudaError_t cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags (int * numBlocks, const void * func, int blockSize, size_t dynamicSMemSize, unsigned int flags)

Returns in *numBlocks the maximum number of active blocks per streaming multiprocessor for the device function.

The flags parameter controls how special cases are handled. Valid flags include:

  • cudaOccupancyDefault: keeps the default behavior as cudaOccupancyMaxActiveBlocksPerMultiprocessor
  • cudaOccupancyDisableCachingOverride: This flag suppresses the default behavior on platform where global caching affects occupancy. On such platforms, if caching is enabled, but per-block SM resource usage would result in zero occupancy, the occupancy calculator will calculate the occupancy as if caching is disabled. Setting this flag makes the occupancy calculator to return 0 in such cases. More information can be found about this feature in the 'Unified L1/Texture Cache' section of the Maxwell tuning guide.

Parameters:

numBlocks - Returned occupancy
func - Kernel function for which occupancy is calculated
blockSize - Block size the kernel is intended to be launched with
dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes
flags - Requested behavior for the occupancy calculator

Returns:

cudaSuccess, cudaErrorInvalidDevice, cudaErrorInvalidDeviceFunction, cudaErrorInvalidValue, cudaErrorUnknown,

Note:

Note that this function may also return error codes from previous, asynchronous launches.

See also:

cudaOccupancyMaxActiveBlocksPerMultiprocessor, cudaOccupancyMaxPotentialBlockSize (C++ API), cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API), cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API), cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags

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