[MSNoise] MSNoise CPU-GPU-RAM Processing

Dear Thomas, Dear All, I want to ask about Scan Archive, Creating New Jobs and CC using MSNoise using CPU-GPU-RAM computing. I processed 49 seismic station, with 2 months data available. For scanning the archive *s01scan_archive.py*, using --init option, and thread option : --init -t 1 : consume 400MB RAM, 17% CPU, 0% GPU : ~24 hours --init -t 2 : consume 1.6GB RAM, 17% CPU, 0% GPU : ~13 hours --init -t 4 : consume 1.6GB RAM, 17% CPU, 0% GPU : ~13 hours the next threads option RAM comsume stuck in 1.6GB, no increase processing using multicore CPU. After finish I tried create new jobs using *s02new_jobs.py* for all station, and it takes 38 minutes for [DEBUG] all station pair for 1 day. I checked the process only consume 1.6GB RAM, 17% CPU, no more than this value. How to optimalize the Processing using RAM-CPU-and GPU? Because it takes along time to process all my Data,, at least it can be optimize using RAM-CPU it will be better. My Computer using 16GB RAM and 4Core(a)3.2GHz, but it only used 1.6GB only.. I tried to insert NumbaPro, but for some reason, it failed,. Can us suggest how to use parallel computing using GPU-CPU-RAM for optimize MSNoise code? Thank you, WARDHANI, Prima Wira Kusuma Master of Earthquake Engineering and Engineering Seismology Universite Joseph Fourier - ISTerre Room 015 prima.dhani06(a)gmail.com +62-81548815815 +33-663964113 がんばります！