OpenMP to CUDA: Reduction

问题

I'm trying to figure out how I can use OpenMP's for reduction() equivalent in CUDA. I've done some research online, and none of what I've tried worked. The code:

    #pragma omp parallel for reduction(+:sum)
    for (i = 0; i < N; i++)
    {
        float f = ...  //store return from function to f
        out[i] = f;    //store f to out[i]
        sum += f;      //add f to sum and store in sum
    }

I know what for reduction() does in OpenMP....it makes the last line of the for loop possible. But how can I use CUDA to express the same thing?

Thanks!

回答1:

Use Thrust, An STL inspired library that comes with CUDA. See the Quick Start Guide for examples on how to perform reductions.

来源：https://stackoverflow.com/questions/13793097/openmp-to-cuda-reduction