Research Cluster Q/A

After launching the container in terminal, a link will be provided. Copy and paste the link in the browser. Make sure you are not already logged into the datahub.

For researchers, enter ‘ls’ after logging in.

For administrators, enter ‘cd /datasets/home/72/072/kkt008/’ then ‘ls’

For researchers: No just navigate to the OneDrive folder via terminal and follow instructions here. Afterwards, ssh into Research cluster and enter ‘ls’ to view files.

For administrators: At ‘sftp>’ step, enter ‘cd /datasets/home/72/072/kkt008/’. Then enter ‘put filename.txt’ to upload files.

For researchers:

• For saving to team shared storage enter ‘cd /uss/sharename’ (after sftp>) as a the step prior to uploading files. To view files after logging into the RC, enter ‘cd /dsmlp/teams’.

   To upload files via the terminal to the group storage, proceed with the following steps:

  • Via the terminal navigate to the folder that stores the file(s).

  

  • Enter ‘ls’ to list the files.
  • Enter ‘sftp bah@dsmlp-login.ucsd.edu’ and enter your AD password.
  • Enter ‘cd /uss/labname’.
    1. Entering this code will direct your uploads to the team storage. This command is not shown in the image below.
  • Enter ‘put filename.txt’. Repeat this code for every file to be uploaded.

  

  • Enter ‘exit’ or ‘quit’ when done uploading files.
  • Next, ssh in the Research Cluster ‘ssh dsmlp-login.ucsd.edu’ and enter AD password
  • Enter ‘cd /dsmlp/teams’ to view files in the shared storage.

For administrators:

• At ‘sftp>’ step, enter ‘cd /uss’. Then 'cd /sharename'. Next, enter ‘put filename.txt’ to upload files.

Yes. You must first launch a container then use pip install. The package will be saved in your home directory and available to use each time you log into your account and for any container.

Yes. Note: You cannot launch duplicates of the same container at the same time – meaning one in the terminal and one datahub.

After ssh and launching a container, enter ‘pip list --user’.

After ssh and launching a container, then install package using ‘pip install <package>’.

From your homepage, select ‘New’ > ‘Terminal’. In the Jupyter Notebook terminal, enter ‘pip list --user’.

From your Jupyter Notebook homepage, select ‘New’ > ‘Terminal’. In the Jupyter Notebook terminal, enter ‘pip install <package>’

From your homepage, select ‘New’ > ‘Terminal’. In the Jupyter Notebook terminal, enter ‘pip uninstall <package>’