Difference between revisions of "User account"

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After this, the user will have a private folder on `/home/[userID]` that can't be accessed by non-admins.
 
After this, the user will have a private folder on `/home/[userID]` that can't be accessed by non-admins.
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== Connect ==
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Users can connect via [[SSH login|ssh]]. Refer to the server [[GPU_Cluster#Hardware_Specifications|spec table]] for the IP or URL.
  
 
== Change your password (recommended) ==
 
== Change your password (recommended) ==
* [[SSH login]] and change your password upon first login, using the command <code>passwd</code>.
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* Change your password upon first login, using the command <code>passwd</code>.
  
 
== Deactivate your anaconda environment (optional) ==
 
== Deactivate your anaconda environment (optional) ==
 
The [[Anaconda]] base environment may be activated by default when you first log in. To prevent this automatic activation type: `conda config --set auto_activate_base false`. The modifications to `$PATH` have been associated with buggy remote desktop issues.
 
The [[Anaconda]] base environment may be activated by default when you first log in. To prevent this automatic activation type: `conda config --set auto_activate_base false`. The modifications to `$PATH` have been associated with buggy remote desktop issues.

Revision as of 06:14, 2 July 2020

User accounts are required for shell access to our HPC nodes, including remote desktop usage.

Account creation

User accounts for the GPU cluster must be created by someone with administrative-level access to the servers.

The standard process is:

  • Request account from Admin
  • Receive ID and password via email or WhatsApp.

After this, the user will have a private folder on /home/[userID] that can't be accessed by non-admins.

Connect

Users can connect via ssh. Refer to the server spec table for the IP or URL.

Change your password (recommended)

  • Change your password upon first login, using the command passwd.

Deactivate your anaconda environment (optional)

The Anaconda base environment may be activated by default when you first log in. To prevent this automatic activation type: conda config --set auto_activate_base false. The modifications to $PATH have been associated with buggy remote desktop issues.