I am completely new to profiling GPU and stuck with connection issues and would be grateful to have any help.
I wrote some kernels using anaconda’s python with jupyter notebook and numba’s cuda module. I want to optimize these kernels using a visual profiler.
I have installed CUDA 11.0 and since it does not support deprecated nvprof i have installed Nsight as recommended by nvidia. However I cannot figure out how to connect Nsight to the running notebook process. I’ve tried launching cmd with nsight, and launching anaconda prompt from the cmd, and launching the notebook from anaconda prompt but it does not seem to be able to connect to the process. Can you suggest a correct way to attach nsight to the python kernel?