Yes, I think I actually mean cores.
I’ve had little experience with GPU parallel computing. Most of the stuff I’ve done is in distributed systems, dealing with clusters/processors/cores. I’m trying to find the analogy with GPUs.
My NVIDIA GPU has 684 cores, so I’m basically wondering how many cores are being used in parallel by PyTorch when it is using the GPU?