Closed Quantumstud closed 5 years ago
You are mixing up GPU ram and GPU processing power. You should monitor the GPU load instead of the memory.
As you increase the size of your simulation, i.e. by increasing the real space or sampling space sizes, your memory requirement will go up. The advantage of having more ram on your GPU is that it can then process larger matrices at the same time, rather than having to (slowly) move data from GPU ram to "normal" ram or (much more slowly) to hard disk storage.
Hi Thomas, Thank you for your crisp reply. Yeah using the 'nvidia-smi' command I can now monitor the GPU utility which shoots up to 97% during the simulation. In the idle state, it is around 3%. Wonderful!
Hi, I am using the MULTEM package in my ubuntu 18.04 LTS with an NVIDIA GeForce GTX 1060 (6GB) GPU. Whenever I run the package I find only 1GB out of my 6GB of the GPU is utilized by MULTEM and remaining is free. Is it a problem with the package or the algorithm? Is it possible to make the simulation faster by using more GPU, since more GPU power is available? Thanks.