Open zhj296409022 opened 3 weeks ago
Hi, this should be the expected behavior, we are now not utilizing CUDA
i mean, when i run glomap in terminal, it will use almost my cpu core, but it only use one core when i run glomap with subprocess in jupyter notebook environment.
run in jupyter notebook environment
run in terminal
It seems that the openmp is not properly functioning from your screenshot. Can you maybe check to openmp condition for your python environment? I tried to call GLOMAP from python with subprocess as you did, and it seems to use a similar amount of resources as directly calling it from the terminal
I can't figure out what the problem is.