This is my situation. We have three HPC servers, and they share the same big data server. I usually manually split my data into three parts, and call the same workflow from three HPC servers separately. I wander if it's possible to use MATLAB parallel server to speed/simplify my data processing. One thing I need point out is that these three HPC server can only communicate with each other by One-Time-Password. We'r using Matlab 2018a.
I list the LSB of these three HPC servers.
[HPC1 ~]$ lsb_release -a
LSB Version: :core-4.1-amd64:core-4.1-noarch
Distributor ID: Scientific
Description: Scientific Linux release 7.6 (Nitrogen)
Release: 7.6
Codename: Nitrogen
[HPC2 ~]$ lsb_release -a
LSB Version: :core-4.1-amd64:core-4.1-noarch
Distributor ID: Scientific
Description: Scientific Linux release 7.4 (Nitrogen)
Release: 7.4
Codename: Nitrogen
[HPC3 ~]$ lsb_release -a
LSB Version: :base-4.0-amd64:base-4.0-noarch:core-4.0-amd64:core-4.0-noarch:graphics-4.0-amd64:graphics-4.0-noarch:printing-4.0-amd64:printing-4.0-noarch
Distributor ID: Scientific
Description: Scientific Linux release 6.7 (Carbon)
Release: 6.7
Codename: Carbon
