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I want to do parallel reduction, but inside my kernel with data in shared memory. Is this possible with thrust library ?
Something like
int sum = thrust::reduce(myIntArray, myIntArray+numberOfItems, (int) 0, thrust::max_element<int>());
But this doesn’t work inside kernel. Is it possible? Thank you.
No, thrust::reduce() is a host function that results in the execution of CUDA kernels if the data is on the GPU.
You would have to dig into the thrust source and find the
__device__functions it uses for reduction. Those would be callable from your kernel. If the logic for reduction is contained in other__global__kernels, you’ll have to piece it together manually in order to use it.