Returns dynamic shared memory available per block when launching numBlocks blocks on SM.
Returns in *dynamicSmemSize the maximum size of dynamic shared memory to allow numBlocks blocks per SM.
Note that the API can also be used with context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will be the current context.
Note:Note that this function may also return error codes from previous, asynchronous launches.
Returns occupancy of a function.
Returns in *numBlocks the number of the maximum active blocks per streaming multiprocessor.
Note that the API can also be used with context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will be the current context.
Note:Note that this function may also return error codes from previous, asynchronous launches.
See also:
Returns occupancy of a function.
Returns in *numBlocks the number of the maximum active blocks per streaming multiprocessor.
The Flags parameter controls how special cases are handled. The valid flags are:
CU_OCCUPANCY_DEFAULT, which maintains the default behavior as cuOccupancyMaxActiveBlocksPerMultiprocessor;
CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE, which 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 CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE 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.
Note that the API can also be with launch context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will be the current context.
Note:Note that this function may also return error codes from previous, asynchronous launches.
See also:
Given the kernel function (func) and launch configuration (config), return the maximum number of clusters that could co-exist on the target device in *numClusters.
If the function has required cluster size already set (see cudaFuncGetAttributes / cuFuncGetAttribute), the cluster size from config must either be unspecified or match the required size. Without required sizes, the cluster size must be specified in config, else the function will return an error.
Note that various attributes of the kernel function may affect occupancy calculation. Runtime environment may affect how the hardware schedules the clusters, so the calculated occupancy is not guaranteed to be achievable.
Note that the API can also be used with context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will either be taken from the specified stream config->hStream or the current context in case of NULL stream.
Note:Note that this function may also return error codes from previous, asynchronous launches.
See also:
Suggest a launch configuration with reasonable occupancy.
Returns in *blockSize a reasonable block size that can achieve the maximum occupancy (or, the maximum number of active warps with the fewest blocks per multiprocessor), and in *minGridSize the minimum grid size to achieve the maximum occupancy.
If blockSizeLimit is 0, the configurator will use the maximum block size permitted by the device / function instead.
If per-block dynamic shared memory allocation is not needed, the user should leave both blockSizeToDynamicSMemSize and dynamicSMemSize as 0.
If per-block dynamic shared memory allocation is needed, then if the dynamic shared memory size is constant regardless of block size, the size should be passed through dynamicSMemSize, and blockSizeToDynamicSMemSize should be NULL.
Otherwise, if the per-block dynamic shared memory size varies with different block sizes, the user needs to provide a unary function through blockSizeToDynamicSMemSize that computes the dynamic shared memory needed by func for any given block size. dynamicSMemSize is ignored. An example signature is:
â // Take block size, returns dynamic shared memory needed
size_t blockToSmem(int blockSize);
Note that the API can also be used with context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will be the current context.
Note:Note that this function may also return error codes from previous, asynchronous launches.
See also:
Suggest a launch configuration with reasonable occupancy.
Given the kernel function (func) and launch configuration (config), return the maximum cluster size in *clusterSize.
The cluster dimensions in config are ignored. If func has a required cluster size set (see cudaFuncGetAttributes / cuFuncGetAttribute),*clusterSize will reflect the required cluster size.
By default this function will always return a value that's portable on future hardware. A higher value may be returned if the kernel function allows non-portable cluster sizes.
This function will respect the compile time launch bounds.
Note that the API can also be used with context-less kernel CUkernel by querying the handle using cuLibraryGetKernel() and then passing it to the API by casting to CUfunction. Here, the context to use for calculations will either be taken from the specified stream config->hStream or the current context in case of NULL stream.
Note:Note that this function may also return error codes from previous, asynchronous launches.
See also:
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