GPU usage at the EQTransformer

[birsenc]

Dear @smousavi05 and all,

We are running EQTransformer at HPC using CPU. We have more than 100 seismic stations and 3 years of data. We want to accelerate the speed of predicition. I have questions related to this issue.

Thank you very much in advance

• Is it faster to use both CPU and GPU or only GPU?

• How do we have to choose the below parameters for faster predicition?

• What does "int" mean? What value do we have to use for the GPU?

• We choose number of CPUs at the slurm. Do we still have to enter the number_of_cpus, if not does it use "default=5"?

• I couldn't understand "Id of GPU used for the prediction"

• Do we have to choose the below parameters and use exactly the same values at the slurm also?

  gpuid: int, default=None Id of GPU used for the prediction. If using CPU set to None.

  gpu_limit: int, default=None Set the maximum percentage of memory usage for the GPU.

  number_of_cpus: int, default=5 Number of CPUs used for the parallel preprocessing and feeding of data for prediction.

  use_multiprocessing: bool, default=True If True, multiple CPUs will be used for the preprocessing of data even when GPU is used for the prediction.