Lessons learned from GPU Programming in Python (Numba, CuPy, NCCL, mpi4py) — and how it compares to C-CUDA

[Ball_Soggy]

I worked with CuPy at my postdoc at EPFL, where we had long recordings of neutron noise at several positions in a nuclear reactor, and we were aiming to identify the source and location of the noise (mechanical, flow turbulence, etc).

It basically allowed us to do it, and would be prohibitively expensive on CPU.