I suppose this is more of a question than a feature request (at least, right now )
I’ll preface this by saying that I only barely understand the math behind cryoSPARC and I don’t understand GPU coding or HPC at all, but I’m curious why cryoSPARC only ever uses 1 GPU for refinement/reconstruction. I would expect that, especially during the expectation step, multiple GPUs could significantly speed up these processes. I’m curious if there’s an algorithmic reason for sticking to one GPU for these processes (but not, for instance, for 2D classification).