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 Header

You 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 Thread

You 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 Items

The single-task algorithm is also available in tf::cudaFlowCapturer::single_task.