Single Task
SingleTaskCUDA
Single Task
Include the Header
SingleTaskCUDA_1CUDASingleTaskIncludeTheHeader
Run a Task with a Single Thread
SingleTaskCUDA_1SingleTaskCUDASingleTask
Miscellaneous Items
SingleTaskCUDA_1SingleTaskCUDAMiscellaneousItems
tf::cudaFlow provides a template method, tf::cudaFlow::single_task, for creating a task to run the given callable using a single kernel thread.
Include the HeaderYou need to include the header file, taskflow/cuda/algorithm/for_each.hpp, for creating a single-threaded task.
#include<taskflow/cuda/algorithm/for_each.hpp>
Run a Task with a Single ThreadYou can create a task to run a kernel function just once, i.e., using one GPU thread. This is handy when you want to set up a single or a few global variables that do not need multiple threads and will be used by multiple kernels afterwards. The following example creates a single-task kernel that sets a device variable to 1.
int*gpu_variable;
cudaMalloc(&gpu_variable,sizeof(int));
tf::cudaFlowcf;
cf.single_task([gpu_variable]__device__(){
*gpu_Variable=1;
});
tf::cudaStreamstream;
cf.run(stream);
stream.synchronize();
Since the callable runs on GPU, it must be declared with a __device__ specifier.
Miscellaneous ItemsThe single-task algorithm is also available in tf::cudaFlowCapturer::single_task.