Thread Management

cudaThreadExit cudaThreadGetCacheConfig cudaThreadGetLimit cudaThreadSetCacheConfig cudaThreadSetLimit cudaThreadSynchronize

cudaError_t cudaThreadSetCacheConfig ( enum cudaFuncCache  cacheConfig  )  On devices where the L1 cache and shared memory use the same hardware resources, this sets through cacheConfig the preferred cache configuration for the current host thread. This is only a preference. The runtime will use the requested configuration if possible, but it is free to choose a different configuration if required to execute the function. Any function preference set via cudaFuncSetCacheConfig (C API) or cudaFuncSetCacheConfig (C++ API) will be preferred over this thread-wide setting. Setting the thread-wide cache configuration to cudaFuncCachePreferNone will cause subsequent kernel launches to prefer to not change the cache configuration unless required to launch the kernel. This setting does nothing on devices where the size of the L1 cache and shared memory are fixed. Launching a kernel with a different preference than the most recent preference setting may insert a device-side synchronization point. The supported cache configurations are: cudaFuncCachePreferNone: no preference for shared memory or L1 (default) cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory Parameters: cacheConfig  - Requested cache configuration Returns: cudaSuccess, cudaErrorInitializationError Note: Note that this function may also return error codes from previous, asynchronous launches. See also: cudaThreadGetCacheConfig, cudaFuncSetCacheConfig (C API), cudaFuncSetCacheConfig (C++ API)