A public-works yard filters pothole reports on the GPU, copies the result back to host memory to be safe, then sends it to the GPU again for a group-by. What is the problem with that bounce?
Select an answer to reveal the explanation.
Short Explanation
Filter on the GPU, copy back to host to be safe, then send it back for a group-by. That bounce is wasted movement. Keep the working set on the device through filter, join, and aggregate. Triton and an NCCL copy loop are the wrong layers.
Full Explanation
GPU-accelerated manipulation means keeping tabular work on the device across consecutive prep steps. Copying a filtered frame to host memory and then sending it back for a group-by wastes movement and treats the GPU as a one-shot copier. Triton and NCCL are the wrong layers for that local bounce. Stay on the GPU through filter, join, and aggregate.