Login to our cluster

Slrum

ssh your_user_name@escience0.sc.chula.ac.th

Note that escience0 is the load-balancing IP address. It should be fine to use for any job submissions. However, if you would like to compile your code with specific hardware, i.e. GPU, you should log in to a specific machine. We don't recommend using the login machines to run your code if not necessary, jobs will be killed if it consumes a lot of resources of the frontend nodes.

  • escience1.sc.chula.ac.th: small frontend machine, for job submission, monitoring only.

  • escience2.sc.chula.ac.th: small frontend machine, for job submission, monitoring only.

  • escience3.sc.chula.ac.th: frontend with Tesla G4 CPU.

Kubenetes

Under construction.

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